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Carl Chiarella

(deceased)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Carl Chiarella & Corrado Di Guilmi & Tianhao Zhi, 2015. "Modelling the "Animal Spirits" of Bank's Lending Behaviour," Working Paper Series 183, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Mentioned in:

    1. Letture suggerite da Keynes blog - 2 novembre 2015
      by keynesblog in Keynes Blog on 2015-11-02 18:33:45

Working papers

  1. Carl Chiarella & Christina Nikitopoulos-Sklibosios & Erik Schlogl & Hongang Yang, 2016. "Pricing American Options under Regime Switching Using Method of Lines," Research Paper Series 368, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Purba Banerjee & Vasudeva Murthy & Shashi Jain, 2024. "Method of Lines for Valuation and Sensitivities of Bermudan Options," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 245-270, January.
    2. Belssing Taruvinga, 2019. "Solving Selected Problems on American Option Pricing with the Method of Lines," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2019, January-A.
    3. Blessing Taruvinga & Boda Kang & Christina Sklibosios Nikitopoulos, 2018. "Pricing American Options with Jumps in Asset and Volatility," Research Paper Series 394, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Chinonso Nwankwo & Weizhong Dai, 2020. "Explicit RKF-Compact Scheme for Pricing Regime Switching American Options with Varying Time Step," Papers 2012.09820, arXiv.org, revised Feb 2022.
    5. Chinonso I. Nwankwo & Weizhong Dai & Ruihua Liu, 2023. "Compact Finite Difference Scheme with Hermite Interpolation for Pricing American Put Options Based on Regime Switching Model," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 817-854, October.
    6. Chinonso Nwankwo & Weizhong Dai & Ruihua Liu, 2019. "Compact Finite Difference Scheme with Hermite Interpolation for Pricing American Put Options Based on Regime Switching Model," Papers 1908.04900, arXiv.org, revised Jun 2020.
    7. Purba Banerjee & Vasudeva Murthy & Shashi Jain, 2021. "Method of lines for valuation and sensitivities of Bermudan options," Papers 2112.01287, arXiv.org.
    8. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2021. "A numerical approach to pricing exchange options under stochastic volatility and jump-diffusion dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2025-2054, December.
    9. Chinonso I. Nwankwo & Weizhong Dai, 2024. "Efficient adaptive strategies with fourth-order compact scheme for a fixed-free boundary regime-switching model," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 47(1), pages 43-82, June.
    10. Chinonso Nwankwo & Weizhong Dai, 2020. "Multigrid Iterative Algorithm based on Compact Finite Difference Schemes and Hermite interpolation for Solving Regime Switching American Options," Papers 2008.00925, arXiv.org, revised Nov 2021.

  2. Carl Chiarella & Corrado Di Guilmi & Tianhao Zhi, 2015. "Modelling the "Animal Spirits" of Bank's Lending Behaviour," Working Paper Series 183, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Serena Sordi & Marwil J. Dávila-Fernández, 2020. "Investment behaviour and “bull & bear” dynamics: modelling real and stock market interactions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 867-897, October.
    2. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
    3. Peter Flaschel & Matthieu Charpe & Giorgos Galanis & Christian R. Proaño & Roberto Veneziani, 2017. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," IMK Working Paper 186-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    4. Misati, Roseline Nyakerario & Kamau, Anne, 2015. "Local and international dimensions to credit provision by commercial banks in Kenya," KBA Centre for Research on Financial Markets and Policy Working Paper Series 14, Kenya Bankers Association (KBA).

  3. Carl Chiarella & Xue-Zhong He & Remco C.J. Zwinkels, 2014. "Heterogeneous Expectations in Asset Pricing: Empirical Evidence from the S&P500," Research Paper Series 344, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Philip A. Stork & Milan Vidojevic & Remco C. J. Zwinkels, 2021. "Behavioral heterogeneity in return expectations across equity style portfolios," International Review of Finance, International Review of Finance Ltd., vol. 21(4), pages 1225-1250, December.
    2. Qingbin Gong & Xundi Diao, 2022. "Bounded rationality, asymmetric information and mispricing in financial markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(1), pages 235-264, July.
    3. Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
    4. Zhong-Qiang Zhou & Jie Li & Wei Zhang & Xiong Xiong, 2022. "Government intervention model based on behavioral heterogeneity for China’s stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
    5. Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2018. "Market entry waves and volatility outbursts in stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 19-37.
    6. Huub Meijers & Joan Muysken & Giulia Piccillo, 2023. "Expectations and the Stability of Stock-Flow Consistent Models," CESifo Working Paper Series 10696, CESifo.
    7. Anufriev, M. & Bao, T. & Tuinstra, J., 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," CeNDEF Working Papers 15-09, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    8. Schmitt, Noemi & Westerhoff, Frank H., 2019. "Trend followers, contrarians and fundamentalists: Explaining the dynamics of financial markets," BERG Working Paper Series 151, Bamberg University, Bamberg Economic Research Group.
    9. Xing Gao & Daniel Ladley, 2022. "Noise trading and market stability," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1283-1301, October.
    10. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02312186, HAL.
    11. Saskia ter Ellen & Cars H. Hommes & Remco C.J. Zwinkels, 2017. "Comparing behavioural heterogeneity across asset classes," Working Paper 2017/12, Norges Bank.
    12. Campiglio, Emanuele & Lamperti, Francesco & Terranova, Roberta, 2024. "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," LSE Research Online Documents on Economics 124234, London School of Economics and Political Science, LSE Library.
    13. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    14. Kohler, Karsten & Tippet, Ben & Stockhammer, Engelbert, 2022. "House price cycles, housing systems, and growth models," IPE Working Papers 194/2022, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    15. Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Heterogeneity and Clustering of Defaults," The Warwick Economics Research Paper Series (TWERPS) 1083, University of Warwick, Department of Economics.
    16. Michael Nwogugu, 2020. "Regret Theory And Asset Pricing Anomalies In Incomplete Markets With Dynamic Un-Aggregated Preferences," Papers 2005.01709, arXiv.org.
    17. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
    18. Immonen, Eero, 2015. "A quantitative description for efficient financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 171-181.
    19. Hommes, Cars & in ’t Veld, Daan, 2017. "Booms, busts and behavioural heterogeneity in stock prices," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 101-124.
    20. Blake LeBaron, 2021. "Microconsistency in Simple Empirical Agent-Based Financial Models," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 83-101, June.
    21. Zheng, Min & Liu, Ruipeng & Li, Youwei, 2018. "Long memory in financial markets: A heterogeneous agent model perspective," MPRA Paper 84886, University Library of Munich, Germany.
    22. Jackson, Antony & Ladley, Daniel, 2016. "Market ecologies: The effect of information on the interaction and profitability of technical trading strategies," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 270-280.
    23. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02000726, HAL.
    24. Zheng, Min & Wang, Hefei & Wang, Chengzhang & Wang, Shouyang, 2017. "Speculative behavior in a housing market: Boom and bust," Economic Modelling, Elsevier, vol. 61(C), pages 50-64.
    25. Ya-Chi Huang & Chueh-Yung Tsao, 2018. "Discovering Traders’ Heterogeneous Behavior in High-Frequency Financial Data," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 821-846, April.
    26. Adam Majewski & Stefano Ciliberti & Jean-Philippe Bouchaud, 2018. "Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model," Papers 1807.11751, arXiv.org.
    27. Filippo Gusella & Engelbert Stockhammer, 2021. "Testing fundamentalist–momentum trader financial cycles: An empirical analysis via the Kalman filter," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 758-797, November.
    28. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    29. Thomas Gomez & Giulia Piccillo, 2019. "Diverse Risk Preferences and Heterogeneous Expectations in an Asset Pricing Model," CESifo Working Paper Series 8003, CESifo.
    30. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    31. Mirza Faizan Ahmed, 2019. "Estimating proportion of noise traders and asset prices," Business Review, School of Economics and Social Sciences, IBA Karachi, vol. 14(2), pages 1-12, July-Dece.
    32. Filippo Gusella & Giorgio Ricchiuti, 2021. "State Space Model to Detect Cycles in Heterogeneous Agents Models," Working Papers - Economics wp2021_10.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    33. Kukacka, Jiri & Barunik, Jozef, 2017. "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 21-45.
    34. Wang, Jiarui & Liu, Shancun & Yang, Haijun, 2022. "Institutional investor’ proportions and inactive trading," International Review of Financial Analysis, Elsevier, vol. 82(C).
    35. Yingyi Hu, 2019. "Short-horizon market efficiency, order imbalance, and speculative trading: evidence from the Chinese stock market," Annals of Operations Research, Springer, vol. 281(1), pages 253-274, October.
    36. Franke, Reiner & Ghonghadze, Jaba, 2014. "Integrating Real Sector Growth and Inflation Into An Agent-Based Stock Market Dynamics," FinMaP-Working Papers 4, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    37. Karlis, Alexandros & Galanis, Girogos & Terovitis, Spyridon & Turner, Matthew, 2017. "Heterogeneity and Clustering of Defaults," Economic Research Papers 270011, University of Warwick - Department of Economics.
    38. F. Cavalli & A. Naimzada & N. Pecora, 2022. "A stylized macro-model with interacting real, monetary and stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 225-257, January.
    39. Majewski, Adam A. & Ciliberti, Stefano & Bouchaud, Jean-Philippe, 2020. "Co-existence of trend and value in financial markets: Estimating an extended Chiarella model," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    40. Immonen, Eero, 2017. "Simple agent-based dynamical system models for efficient financial markets: Theory and examples," Journal of Mathematical Economics, Elsevier, vol. 69(C), pages 38-53.
    41. Saskia ter Ellen & Willem F. C. Verschoor, 2018. "Heterogeneous Beliefs and Asset Price Dynamics: A Survey of Recent Evidence," Dynamic Modeling and Econometrics in Economics and Finance, in: Fredj Jawadi (ed.), Uncertainty, Expectations and Asset Price Dynamics, pages 53-79, Springer.
    42. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    43. Reitz, Stefan & Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "Nonlinear Expectation Formation in the U.S. Stock Market," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113210, Verein für Socialpolitik / German Economic Association.
    44. Pierdzioch, Christian & Reitz, Stefan & Ruelke, Jan-Christoph, 2015. "Nonlinear expectation formation in the U.S. stock market: Empirical evidence from the Livingston survey," Kiel Working Papers 1947 [rev.], Kiel Institute for the World Economy (IfW Kiel).
    45. Coqueret, Guillaume, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 180-201.
    46. Zhang, Wei & Zhou, Zhong-Qiang & Xiong, Xiong, 2019. "Behavioral heterogeneity and excess stock price volatility in China," Finance Research Letters, Elsevier, vol. 28(C), pages 348-354.
    47. Guillaume Coqueret, 2016. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02088097, HAL.
    48. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2018. "A laboratory experiment on the heuristic switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 21-42.
    49. Jia, Fei & Shen, Yao & Ren, Junfan & Xu, Xiangyun, 2021. "The impact of offshore exchange rate expectations on onshore exchange rates: The case of Chinese RMB," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    50. Filippo Gusella, 2019. "Modelling Minskyan financial cycles with fundamentalist and extrapolative price strategies: An empirical analysis via the Kalman filter approach," Working Papers - Economics wp2019_24.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    51. Qingbin Gong & Zhe Yang, 2020. "Arbitrage, speculation and futures price fluctuations with boundedly rational and heterogeneous agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 763-791, October.
    52. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    53. Chiarella, Carl & ter Ellen, Saskia & He, Xue-Zhong & Wu, Eliza, 2015. "Fear or fundamentals? Heterogeneous beliefs in the European sovereign CDS market," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 19-34.
    54. Giovanni Campisi & Silvia Muzzioli, 2020. "Fundamentalists heterogeneity and the role of the sentiment indicator," Department of Economics 0167, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    55. Filippo Gusella & Giorgio Ricchiuti, 2022. "A State-Space Approach for Time-Series Prediction of an Heterogeneous Agent Model," Working Papers - Economics wp2022_20.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    56. Frijns, Bart & Zwinkels, Remco C.J., 2018. "Time-varying arbitrage and dynamic price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 485-502.

  4. Carl Chiarella & Xue-Zhong He & Lei Shi & Lijian Wei, 2014. "A Behavioural Model of Investor Sentiment in Limit Order Markets," Research Paper Series 342, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Danilo Liuzzi & Paolo Pellizzari & Marco Tolotti, 2019. "Fast traders and slow price adjustments: an artificial market with strategic interaction and transaction costs," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 643-662, September.
    2. Lin Liu, 2022. "Economic Uncertainty and Exchange Market Pressure: Evidence From China," SAGE Open, , vol. 12(1), pages 21582440211, January.
    3. Gao-Feng Gu & Xiong Xiong & Hai-Chuan Xu & Wei Zhang & Yong-Jie Zhang & Wei Chen & Wei-Xing Zhou, 2017. "An empirical behavioural order-driven model with price limit rules," Papers 1704.04354, arXiv.org.
    4. Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.
    5. Zhou, Liyun & Yang, Chunpeng, 2019. "Stochastic investor sentiment, crowdedness and deviation of asset prices from fundamentals," Economic Modelling, Elsevier, vol. 79(C), pages 130-140.
    6. Schasfoort, Joeri & Stockermans, Christopher, 2017. "Fundamentals unknown: Momentum, mean-reversion and price-to-earnings trading in an artificial stock market," Economics Discussion Papers 2017-63, Kiel Institute for the World Economy (IfW Kiel).
    7. Lijian Wei & Lei Shi, 2020. "Investor Sentiment in an Artificial Limit Order Market," Complexity, Hindawi, vol. 2020, pages 1-10, June.
    8. Michiel Leur & Mikhail Anufriev, 2018. "Timing under individual evolutionary learning in a continuous double auction," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 609-631, August.
    9. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Gaoshan Wang & Guangjin Yu & Xiaohong Shen, 2020. "The Effect of Online Investor Sentiment on Stock Movements: An LSTM Approach," Complexity, Hindawi, vol. 2020, pages 1-11, December.

  5. Karl Mina & Gerald Cheang & Carl Chiarella, 2013. "Approximate Hedging of Options under Jump-Diffusion Processes," Research Paper Series 340, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Leonidas S. Rompolis & Elias Tzavalis, 2017. "Pricing and hedging contingent claims using variance and higher order moment swaps," Quantitative Finance, Taylor & Francis Journals, vol. 17(4), pages 531-550, April.
    2. Guanghua Lian & Robert J. Elliott & Petko Kalev & Zhaojun Yang, 2022. "Approximate pricing of American exchange options with jumps," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(6), pages 983-1001, June.

  6. Carl Chiarella & Boda Kang & Christina Sklibosios Nikitopoulos & Thuy-Duong To, 2013. "The Return-Volatility Relation in Commodity Futures Markets," Research Paper Series 336, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Wensheng Kang & Ronald A. Ratti & Joaquin L. Vespignani, 2017. "Global Commodity Prices and Global Stock Volatility Shocks: Effects across Countries," Globalization Institute Working Papers 311, Federal Reserve Bank of Dallas.
    2. Wensheng Kang & Ronald A Ratti Bd & Joaquin Vespignani, 2020. "Revising the Impact of Global Commodity Prices and Global Stock Market Volatility Shocks: Effects across Countries," Working Papers hal-03071532, HAL.
    3. Wong, Patrick, 2023. "Explaining intraday crude oil returns with higher order risk-neutral moments," Journal of Commodity Markets, Elsevier, vol. 31(C).
    4. Marc Bohmann & Vinay Patel, 2020. "Information Leakage in Energy Derivatives around News Announcements," Published Paper Series 2020-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. R. G. Alcoforado & W. Bernardino & A. D. Eg'idio dos Reis & J. A. C. Santos, 2021. "Modelling risk for commodities in Brazil: An application to live cattle spot and futures prices," Papers 2107.07556, arXiv.org.
    6. Boda Kang & Christina Sklibosios Nikitopoulos & Marcel Prokopczuk, 2019. "Economic Determinants of Oil Futures Volatility: A Term Structure Perspective," Research Paper Series 401, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Sercan Demiralay & Selcuk Bayraci & H. Gaye Gencer, 2019. "Time-varying diversification benefits of commodity futures," Empirical Economics, Springer, vol. 56(6), pages 1823-1853, June.
    8. Secomandi, Nicola & Seppi, Duane J., 2014. "Real Options and Merchant Operations of Energy and Other Commodities," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 6(3-4), pages 161-331, July.
    9. Ayoub, Mahmoud & Qadan, Mahmoud, 2024. "Ambiguity and risk in the oil market," Economic Modelling, Elsevier, vol. 132(C).
    10. Todorova, Neda, 2017. "The asymmetric volatility in the gold market revisited," Economics Letters, Elsevier, vol. 150(C), pages 138-141.
    11. Mehmet Balcilar & Elie Bouri & Rangan Gupta & David Roubaud, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Post-Print hal-02008551, HAL.
    12. Jilong Chen & Christian Ewald & Ruolan Ouyang & Sjur Westgaard & Xiaoxia Xiao, 2022. "Pricing commodity futures and determining risk premia in a three factor model with stochastic volatility: the case of Brent crude oil," Annals of Operations Research, Springer, vol. 313(1), pages 29-46, June.
    13. Naomi Boyd & Bingxin Li & Rui Liu, 2022. "Risk premia in the term structure of crude oil futures: long-run and short-run volatility components," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1505-1533, May.
    14. Bentes, Sónia R., 2022. "On the stylized facts of precious metals’ volatility: A comparative analysis of pre- and during COVID-19 crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    15. Renata G. Alcoforado & Alfredo D. Egídio dos Reis & Wilton Bernardino & José António C. Santos, 2023. "Modelling Risk for Commodities in Brazil: An Application for Live Cattle Spot and Futures Prices," Commodities, MDPI, vol. 2(4), pages 1-19, November.
    16. Vespignani, Joaquin & Kang, Wensheng & Ratti, Ronald, 2018. "Global Commodity Prices and Global Stock Volatility Shocks," MPRA Paper 84250, University Library of Munich, Germany.
    17. Kam Fong Chan & Philip Gray, 2017. "Do Scheduled Macroeconomic Announcements Influence Energy Price Jumps?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(1), pages 71-89, January.
    18. Chang, Meng-Shiuh & Kung, Chih-Chun & Chen, Meng-Wei & Tian, Yuan, 2021. "Volatility regime, inverted asymmetry, contagion, and flights in the gold market," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    19. Chan, Stephen & Chandrashekhar, Durga & Almazloum, Ward & Zhang, Yuanyuan & Lord, Nicholas & Osterrieder, Joerg & Chu, Jeffrey, 2024. "Stylized facts of metaverse non-fungible tokens," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 653(C).
    20. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin, 2020. "Global commodity prices and global stock market volatility shocks: Effects across countries," Journal of Asian Economics, Elsevier, vol. 71(C).
    21. Okorie, David Iheke & Lin, Boqiang, 2020. "Did China’s ICO ban alter the Bitcoin market?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 977-993.
    22. Rim Ammar Lamouchi & Roaa Osama Badkook, 2020. "Gold Prices Volatility among Major Events and During the Current COVID-19 Outbreak," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(4), pages 1-4.
    23. Gu, Chen & Kurov, Alexander & Stan, Raluca, 2023. "Monetary policy and uncertainty resolution in commodity markets," Finance Research Letters, Elsevier, vol. 55(PA).
    24. Ferreira, Paulo, 2019. "Assessing the relationship between dependence and volume in stock markets: A dynamic analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 90-97.
    25. Benjamin Tin Chun Cheng, 2017. "Pricing and Hedging of Long-Dated Commodity Derivatives," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2017, January-A.
    26. Baur, Dirk G. & Dimpfl, Thomas, 2018. "The asymmetric return-volatility relationship of commodity prices," Energy Economics, Elsevier, vol. 76(C), pages 378-387.
    27. Kao, Yu-Sheng & Zhao, Kai & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2024. "The asymmetric relationships between the Bitcoin futures’ return, volatility, and trading volume," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 524-542.
    28. Gong, Xu & Wen, Fenghua & Xia, X.H. & Huang, Jianbai & Pan, Bin, 2017. "Investigating the risk-return trade-off for crude oil futures using high-frequency data," Applied Energy, Elsevier, vol. 196(C), pages 152-161.
    29. Chen, Yu-Fu & Mu, Xiaoyi, 2021. "Asymmetric volatility in commodity markets," Journal of Commodity Markets, Elsevier, vol. 22(C).
    30. Mehmet Balcilar & Elie Bouri & Rangan Gupta & David Roubaud, 2016. "Can Volume Predict Bitcoin Returns and Volatility? A Nonparametric Causality-in-Quantiles Approach," Working Papers 201662, University of Pretoria, Department of Economics.
    31. Chu, Jeffrey & Chan, Stephen & Zhang, Yuanyuan, 2023. "An analysis of the return–volume relationship in decentralised finance (DeFi)," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 236-254.
    32. Kim Karlsson, Hyunjoo & Li, Yushu, 2024. "Investigation of Swedish krona exchange rate volatility by APARCH-Support Vector Regression," Working Papers in Economics and Statistics 10/2024, Linnaeus University, School of Business and Economics, Department of Economics and Statistics.
    33. Bonnier, Jean-Baptiste, 2022. "Forecasting crude oil volatility with exogenous predictors: As good as it GETS?," Energy Economics, Elsevier, vol. 111(C).
    34. Christina Sklibosios Nikitopoulos & Alice Carole Thomas & Jianxin Wang, 2024. "Hedging pressure and oil volatility: Insurance versus liquidity demands," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 252-280, February.
    35. Chen, Jilong & Ewald, Christian-Oliver, 2017. "Pricing commodity futures options in the Schwartz multi factor model with stochastic volatility: An asymptotic method," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 144-151.
    36. Guglielmo Maria Caporale & Alex Plastun, 2020. "Gold and Oil Prices: Abnormal Returns, Momentum and Contrarian Effects," CESifo Working Paper Series 8445, CESifo.
    37. Nikitopoulos, Christina Sklibosios & Thomas, Alice Carole & Wang, Jianxin, 2023. "The economic impact of daily volatility persistence on energy markets," Journal of Commodity Markets, Elsevier, vol. 30(C).
    38. Chang, Meng-Shiuh & Ju, Peijie & Liu, Yilei & Hsueh, Shao-Chieh, 2022. "Determining hedges and safe havens for stocks using interval analysis," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    39. Cheng, Benjamin & Nikitopoulos, Christina Sklibosios & Schlögl, Erik, 2018. "Pricing of long-dated commodity derivatives: Do stochastic interest rates matter?," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 148-166.

  7. Carl Chiarella & Susanne Griebsch & Boda Kang, 2013. "Investigating Time-Efficient Methods to Price Compound Options in the Heston Model," Research Paper Series 328, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Wang, Xiandong & He, Jianmin, 2017. "A simple method for generalized sequential compound options pricing," Mathematical Social Sciences, Elsevier, vol. 87(C), pages 85-91.

  8. Carl Chiarella & Corrado Di Guilmi, 2013. "Monetary Policy and Debt Deflation: Some Computational Experiments," CAMA Working Papers 2013-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Roberto Veneziani & Luca Zamparelli & Corrado Di Guilmi, 2017. "The Agent-Based Approach To Post Keynesian Macro-Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    2. Michel Alexandre da Silva & Gilberto Tadeu Lima, 2015. "Combining Monetary Policy and Prudential Regulation: an agent-based modeling approach," Working Papers Series 394, Central Bank of Brazil, Research Department.
    3. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    4. Salle, Isabelle & Seppecher, Pascal, 2018. "Stabilizing an unstable complex economy on the limitations of simple rules," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 289-317.
    5. Guilmi, Corrado Di & Fujiwara, Yoshi, 2022. "Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 346-371.
    6. Deryugina, Elena & Ponomarenko, Alexey & Rozhkova, Anna, 2020. "When are credit gap estimates reliable?," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 221-238.
    7. Bardoscia, Marco & Carro, Adrian & Hinterschweiger, Marc & Napoletano, Mauro & Popoyan, Lilit & Roventini, Andrea & Uluc, Arzu, 2024. "The impact of prudential regulations on the UK housing market and economy: insights from an agent-based model," Bank of England working papers 1066, Bank of England.
    8. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.
    9. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy," Working Papers hal-01527740, HAL.
    10. Carl Chiarella & Corrado Di Guilmi, 2014. "Financial instability and debt deflation dynamics in a bottom-up approach," Economics Bulletin, AccessEcon, vol. 34(1), pages 125-132.

  9. Thomas Adolfsson & Carl Chiarella & Andrew Ziogas & Jonathan Ziveyi, 2013. "Representation and Numerical Approximation of American Option Prices under Heston Stochastic Volatility Dynamics," Research Paper Series 327, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Shen, Jinye & Huang, Weizhang & Ma, Jingtang, 2024. "An efficient and provable sequential quadratic programming method for American and swing option pricing," European Journal of Operational Research, Elsevier, vol. 316(1), pages 19-35.
    2. Purba Banerjee & Vasudeva Murthy & Shashi Jain, 2024. "Method of Lines for Valuation and Sensitivities of Bermudan Options," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 245-270, January.
    3. Carl Chiarella & Boda Kang & Gunter H. Meyer & Andrew Ziogas, 2008. "The Evaluation of American Option Prices Under Stochastic Volatility and Jump-Diffusion Dynamics Using the Method of Lines," Research Paper Series 219, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2020. "A Put-Call Transformation of the Exchange Option Problem under Stochastic Volatility and Jump Diffusion Dynamics," Papers 2002.10194, arXiv.org.
    5. Belssing Taruvinga, 2019. "Solving Selected Problems on American Option Pricing with the Method of Lines," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2019, January-A.
    6. Antonio Cosma & Stefano Galluccio & Paola Pederzoli & Olivier Scaillet, 2016. "Early exercise decision in American options with dividends, stochastic volatility and jumps," Papers 1612.03031, arXiv.org.
    7. Antonio Cosma & Stefano Galluccio & Paola Pederzoli & Olivier Scaillet, 2015. "Valuing American options using fast recursive projections," DEM Discussion Paper Series 15-20, Department of Economics at the University of Luxembourg.
    8. Blessing Taruvinga & Boda Kang & Christina Sklibosios Nikitopoulos, 2018. "Pricing American Options with Jumps in Asset and Volatility," Research Paper Series 394, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2021. "A Numerical Approach to Pricing Exchange Options under Stochastic Volatility and Jump-Diffusion Dynamics," Papers 2106.07362, arXiv.org.
    10. Carl Chiarella & Boda Kang, 2009. "The Evaluation of American Compound Option Prices Under Stochastic Volatility Using the Sparse Grid Approach," Research Paper Series 245, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Purba Banerjee & Vasudeva Murthy & Shashi Jain, 2021. "Method of lines for valuation and sensitivities of Bermudan options," Papers 2112.01287, arXiv.org.

  10. Carl Chiarella & Xue-Zhong He & Lijian Wei, 2013. "Learning and Evolution of Trading Strategies in Limit Order Markets," Research Paper Series 335, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading Volume and Market Efficiency: An Agent Based Model with Heterogenous Knowledge about Fundamentals," Working Papers halshs-00997573, HAL.
    2. Rossella Agliardi & Ramazan Gençay, 2017. "Optimal Trading Strategies With Limit Orders," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-16, February.
    3. Vivien Lespagnol & Juliette Rouchier, 2015. "What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 105-117, Springer.

  11. Ingo Beyna & Carl Chiarella & Boda Kang, 2012. "Pricing Interest Rate Derivatives in a Multifactor HJM Model with Time," Research Paper Series 317, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Marcin Dec, 2018. "Markovian and multi-curve friendly parametrisation of HJM model used in valuation adjustment of interest rate derivatives," KAE Working Papers 2018-038, Warsaw School of Economics, Collegium of Economic Analysis.

  12. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2012. "An Evolutionary CAPM Under Heterogeneous Beliefs," Research Paper Series 315, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-varying economic dominance in financial markets: A bistable dynamics approach," Published Paper Series 2018-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Jun Tong & Jian-Qiang Hu & Jianxin You, 2019. "Asynchronous Algorithms for Computing Equilibrium Prices in a Capital Asset Pricing Model," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(05), pages 1-17, October.
    3. Tong, Jun & Hu, Jiaqiao & Hu, Jianqiang, 2017. "Computing equilibrium prices for a capital asset pricing model with heterogeneous beliefs and margin-requirement constraints," European Journal of Operational Research, Elsevier, vol. 256(1), pages 24-34.
    4. Guillaume Coqueret & Bertrand Tavin, 2019. "Procedural rationality, asset heterogeneity and market selection," Post-Print hal-02312310, HAL.
    5. Martin, Carolin & Schmitt, Noemi & Westerhoff, Frank, 2019. "Housing markets, expectation formation and interest rates," BERG Working Paper Series 142, Bamberg University, Bamberg Economic Research Group.
    6. He, Xue-Zhong & Li, Kai & Li, Youwei, 2018. "Asset allocation with time series momentum and reversal," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 441-457.
    7. Erol Akçay & David Hirshleifer, 2021. "Social finance as cultural evolution, transmission bias, and market dynamics," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(26), pages 2015568118-, June.
    8. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-Varying Economic Dominance Through Bistable Dynamics," Research Paper Series 390, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Schmitt, Noemi & Westerhoff, Frank, 2015. "Managing rational routes to randomness," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 157-173.
    10. Bihary, Zsolt & Víg, Attila András, 2020. "Heterogén kereskedési stratégiák hatása a piaci árfolyamokra [The effect of heterogeneous commercial strategies on market exchange rates]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 688-707.
    11. Zhao, Dongxu & Li, Kai, 2022. "Bounded rationality, adaptive behaviour, and asset prices," International Review of Financial Analysis, Elsevier, vol. 80(C).
    12. Fausto Cavalli & Ahmad Naimzada & Nicol`o Pecora & Marina Pireddu, 2018. "Agents' beliefs and economic regimes polarization in interacting markets," Papers 1805.00387, arXiv.org.
    13. Schmitt, Noemi & Westerhoff, Frank, 2013. "Speculative behavior and the dynamics of interacting stock markets," BERG Working Paper Series 90, Bamberg University, Bamberg Economic Research Group.
    14. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    15. Nicholas Apergis & James E. Payne, 2018. "Monetary policy rules and the equity risk premium: Evidence from the US experience," Review of Financial Economics, John Wiley & Sons, vol. 36(4), pages 287-299, October.
    16. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    17. Hommes, Cars & Vroegop, Joris, 2019. "Contagion between asset markets: A two market heterogeneous agents model with destabilising spillover effects," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 314-333.
    18. Li, Kai, 2021. "Nonlinear effect of sentiment on momentum," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    19. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    20. Roberto Dieci & Xue-Zhong He, 2021. "Cross-section instability in financial markets: impatience, extrapolation, and switching," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 727-754, December.
    21. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2015, January-A.
    22. Lenhard, Gregor, 2024. "Learning from the Past: The Role of Personal Experiences in Artificial Stock Markets," Working papers 2024/01, Faculty of Business and Economics - University of Basel.
    23. Zsolt Bihary & Attila Andr'as V'ig, 2019. "Analytic solutions in a continuous-time financial market model," Papers 1902.09999, arXiv.org.
    24. Corrado Di Guilmi & Xue-Zhong He & Kai Li, 2013. "Herding, Trend Chasing and Market Volatility," Research Paper Series 337, Quantitative Finance Research Centre, University of Technology, Sydney.
    25. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank H., 2018. "Interactions between stock, bond and housing markets," BERG Working Paper Series 133, Bamberg University, Bamberg Economic Research Group.
    26. Coqueret, Guillaume & Tavin, Bertrand, 2019. "Procedural rationality, asset heterogeneity and market selection," Journal of Mathematical Economics, Elsevier, vol. 82(C), pages 125-149.
    27. Kopel, Michael & Lamantia, Fabio, 2018. "The persistence of social strategies under increasing competitive pressure," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 71-83.
    28. Han, Xing & Li, Kai & Li, Youwei, 2020. "Investor overconfidence and the security market line: New evidence from China," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    29. Fu, Jie & Zhang, Xiaoqi & Zhou, Wenyuan & Lyu, Yang, 2024. "A continuous heterogeneous agent model for multi-asset pricing and portfolio construction under market matching friction," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 267-283.
    30. Mikhail Anufriev & Davide Radi & Fabio Tramontana, 2018. "Some reflections on past and future of nonlinear dynamics in economics and finance," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 91-118, November.
    31. Tai, Chung-Ching & Chen, Shu-Heng & Yang, Lee-Xieng, 2018. "Cognitive ability and earnings performance: Evidence from double auction market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 409-440.

  13. Yun Bao & Carl Chiarella & Boda Kang, 2012. "Particle Filters for Markov Switching Stochastic Volatility Models," Research Paper Series 299, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Gorynin, Ivan & Derrode, Stéphane & Monfrini, Emmanuel & Pieczynski, Wojciech, 2017. "Fast smoothing in switching approximations of non-linear and non-Gaussian models," Computational Statistics & Data Analysis, Elsevier, vol. 114(C), pages 38-46.
    3. Karol Gellert & Erik Schlögl, 2018. "Parameter Learning and Change Detection Using a Particle Filter With Accelerated Adaptation," Research Paper Series 392, Quantitative Finance Research Centre, University of Technology, Sydney.

  14. Carl Chiarella & Boda Kang & Christina Nikitopoulos-Sklibosios & Thuy-Duong To, 2012. "Humps in the Volatility Structure of the Crude Oil Futures Market," Research Paper Series 308, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Benjamin Cheng & Christina Nikitopoulos-Sklibosios & Erik Schlogl, 2016. "Empirical Hedging Performance on Long-Dated Crude Oil Derivatives," Research Paper Series 376, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Wensheng Kang & Ronald A. Ratti & Joaquin L. Vespignani, 2017. "Global Commodity Prices and Global Stock Volatility Shocks: Effects across Countries," Globalization Institute Working Papers 311, Federal Reserve Bank of Dallas.
    3. Wensheng Kang & Ronald A Ratti Bd & Joaquin Vespignani, 2020. "Revising the Impact of Global Commodity Prices and Global Stock Market Volatility Shocks: Effects across Countries," Working Papers hal-03071532, HAL.
    4. Marc Bohmann & Vinay Patel, 2020. "Information Leakage in Energy Derivatives around News Announcements," Published Paper Series 2020-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. Benjamin Cheng & Christina Nikitopoulos-Sklibosios & Erik Schlogl, 2016. "Empirical Pricing Performance in Long-Dated Crude Oil Derivatives: Do Models with Stochastic Interest Rates Matter?," Research Paper Series 367, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Zhuoqi Teng & Renhong Wu & Yugang He & Anibal Coronel, 2023. "Swings in Crude Oil Valuations: Analyzing Their Bearing on China’s Stock Market Returns amid the COVID-19 Pandemic Upheaval," Discrete Dynamics in Nature and Society, Hindawi, vol. 2023, pages 1-10, June.
    7. Boda Kang & Christina Sklibosios Nikitopoulos & Marcel Prokopczuk, 2019. "Economic Determinants of Oil Futures Volatility: A Term Structure Perspective," Research Paper Series 401, Quantitative Finance Research Centre, University of Technology, Sydney.
    8. He, Huizi & Sun, Mei & Gao, Cuixia & Li, Xiuming, 2021. "Detecting lag linkage effect between economic policy uncertainty and crude oil price: A multi-scale perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    9. Yuyang Cheng & Marcos Escobar-Anel & Zhenxian Gong, 2019. "Generalized Mean-Reverting 4/2 Factor Model," JRFM, MDPI, vol. 12(4), pages 1-21, October.
    10. Benjamin Cheng & Christina Nikitopoulos-Sklibosios & Erik Schlogl, 2016. "Hedging Futures Options with Stochastic Interest Rates," Research Paper Series 375, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Lorenz Schneider & Bertrand Tavin, 2018. "Seasonal Stochastic Volatility and the Samuelson Effect in Agricultural Futures Markets," Papers 1802.01393, arXiv.org, revised Nov 2018.
    12. Benjamin Cheng & Christina Sklibosios Nikitopoulos & Erik Schlögl, 2019. "Interest rate risk in long‐dated commodity options positions: To hedge or not to hedge?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 109-127, January.
    13. Vespignani, Joaquin & Kang, Wensheng & Ratti, Ronald, 2018. "Global Commodity Prices and Global Stock Volatility Shocks," MPRA Paper 84250, University Library of Munich, Germany.
    14. Bertrand Tavin & Lorenz Schneider, 2018. "From the Samuelson volatility effect to a Samuelson correlation effect : An analysis of crude oil calendar spread options," Post-Print hal-02311970, HAL.
    15. Hilliard, Jimmy E. & Hilliard, Jitka, 2019. "A jump-diffusion model for pricing and hedging with margined options: An application to Brent crude oil contracts," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 137-155.
    16. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin, 2020. "Global commodity prices and global stock market volatility shocks: Effects across countries," Journal of Asian Economics, Elsevier, vol. 71(C).
    17. Schneider, Lorenz & Tavin, Bertrand, 2018. "From the Samuelson volatility effect to a Samuelson correlation effect: An analysis of crude oil calendar spread options," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 185-202.
    18. Benjamin Cheng & Christina Nikitopoulos-Sklibosios & Erik Schlogl, 2015. "Pricing of Long-dated Commodity Derivatives with Stochastic Volatility and Stochastic Interest Rates," Research Paper Series 366, Quantitative Finance Research Centre, University of Technology, Sydney.
    19. Benjamin Tin Chun Cheng, 2017. "Pricing and Hedging of Long-Dated Commodity Derivatives," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2017, January-A.
    20. Shao, Chengwu & Bhar, Ramaprasad & Colwell, David B. & Sheng, Ni & Wei, Xinyang, 2024. "Variance dynamics and term structure of the natural gas market," Energy Economics, Elsevier, vol. 137(C).
    21. Carl Chiarella & Boda Kang & Christina Sklibosios Nikitopoulos & Thuy-Duong To, 2013. "The Return-Volatility Relation in Commodity Futures Markets," Research Paper Series 336, Quantitative Finance Research Centre, University of Technology, Sydney.
    22. Cheng, Benjamin & Nikitopoulos, Christina Sklibosios & Schlögl, Erik, 2018. "Pricing of long-dated commodity derivatives: Do stochastic interest rates matter?," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 148-166.

  15. Carl Chiarella & Corrado Di Guilmi, 2011. "Limit Distribution of Evolving Strategies in Financial Markets," Research Paper Series 294, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Catalano, Michele & Di Guilmi, Corrado, 2019. "Uncertainty, rationality and complexity in a multi-sectoral dynamic model: The dynamic stochastic generalized aggregation approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 117-144.
    2. Roberto Veneziani & Luca Zamparelli & Reiner Franke & Frank Westerhoff, 2017. "Taking Stock: A Rigorous Modelling Of Animal Spirits In Macroeconomics," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1152-1182, December.
    3. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    4. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    5. Corrado Di Guilmi & Xue-Zhong He & Kai Li, 2013. "Herding, Trend Chasing and Market Volatility," Research Paper Series 337, Quantitative Finance Research Centre, University of Technology, Sydney.

  16. Carl Chiarella & Xue-Zhong He & Weihong Huang & Huanhuan Zheng, 2011. "Estimating Behavioural Heterogeneity Under Regime Switching," Research Paper Series 290, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Xue-Zhong He & Huanhuan Zheng, 2016. "Trading Heterogeneity Under Information Uncertainty," Research Paper Series 373, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Jang, Tae-Seok & Sacht, Stephen, 2017. "Modeling consumer confidence and its role for expectation formation: A horse race," Economics Working Papers 2017-04, Christian-Albrechts-University of Kiel, Department of Economics.
    3. De Grauwe, Paul & Gerba, Eddie, 2018. "The role of cognitive limitations and heterogeneous expectations for aggregate production and credit cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 206-236.
    4. Zhong-Qiang Zhou & Jie Li & Wei Zhang & Xiong Xiong, 2022. "Government intervention model based on behavioral heterogeneity for China’s stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
    5. Shiyu Song & Yongjin Wang, 2017. "Pricing double barrier options under a volatility regime-switching model with psychological barriers," Review of Derivatives Research, Springer, vol. 20(3), pages 255-280, October.
    6. Cifarelli, Giulio & Paladino, Giovanna, 2018. "Can the interaction between a single long-term attractor and heterogeneous trading explain the exchange rate conundrum?," Research in International Business and Finance, Elsevier, vol. 46(C), pages 313-323.
    7. Anufriev, M. & Bao, T. & Tuinstra, J., 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," CeNDEF Working Papers 15-09, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    8. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental, pessimistic and overconfident traders: a piecewise-linear maps approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 707-726, December.
    9. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02312186, HAL.
    10. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Tramontana, Fabio & Westerhoff, Frank & Gardini, Laura, 2012. "The bull and bear market model of Huang and Day : Some extensions and new results," BERG Working Paper Series 89, Bamberg University, Bamberg Economic Research Group.
    12. Wai-Mun Chia & Mengling Li & Huanhuan Zheng, 2017. "Behavioral heterogeneity in the Australian housing market," Applied Economics, Taylor & Francis Journals, vol. 49(9), pages 872-885, February.
    13. Wang, Yu-Min & Lin, Che-Chun & Tsai, I-Chun, 2023. "State transformation of information spillover in asset markets and effective dynamic hedging strategies," International Review of Financial Analysis, Elsevier, vol. 89(C).
    14. Zhenxi Chen, 2020. "Regional financial market bloc and spillover of the financial crisis: A heterogeneous agents approach," Manchester School, University of Manchester, vol. 88(2), pages 262-281, March.
    15. Zhao, Dongxu & Li, Kai, 2022. "Bounded rationality, adaptive behaviour, and asset prices," International Review of Financial Analysis, Elsevier, vol. 80(C).
    16. Zheng, Min & Liu, Ruipeng & Li, Youwei, 2018. "Long memory in financial markets: A heterogeneous agent model perspective," MPRA Paper 84886, University Library of Munich, Germany.
    17. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02000726, HAL.
    18. Ryuichi Yamamoto, 2022. "Predictor Choice, Investor Types, and the Price Impact of Trades on the Tokyo Stock Exchange," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 325-356, January.
    19. Ya-Chi Huang & Chueh-Yung Tsao, 2018. "Discovering Traders’ Heterogeneous Behavior in High-Frequency Financial Data," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 821-846, April.
    20. Zhenxi Chen & Weihong Huang & Huanhuan Zheng, 2018. "Estimating heterogeneous agents behavior in a two-market financial system," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 491-510, October.
    21. Zheng, Huanhuan, 2020. "Coordinated bubbles and crashes," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    22. Li, Mengling & Zheng, Huanhuan & Tai Leung Chong, Terence & Zhang, Yang, 2016. "The stock–bond comovements and cross-market trading," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 417-438.
    23. Domenico Delli Gatti & Filippo Gusella & Giorgio Ricchiuti, 2024. "Endogenous vs Exogenous Instability: An Out-of-Sample Comparison," CESifo Working Paper Series 11082, CESifo.
    24. Domenico Delli Gatti & Jakob Grazzini, 2019. "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series 7894, CESifo.
    25. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    26. Zhentao Shi & Huanhuan Zheng, 2018. "Structural Estimation of Behavioral Heterogeneity," Papers 1802.03735, arXiv.org, revised Jun 2018.
    27. Filippo Gusella, 2022. "Detecting and Measuring Financial Cycles in Heterogeneous Agents Models: An Empirical Analysis," Working Papers - Economics wp2022_02.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    28. Mirza Faizan Ahmed, 2019. "Estimating proportion of noise traders and asset prices," Business Review, School of Economics and Social Sciences, IBA Karachi, vol. 14(2), pages 1-12, July-Dece.
    29. Filippo Gusella & Giorgio Ricchiuti, 2021. "State Space Model to Detect Cycles in Heterogeneous Agents Models," Working Papers - Economics wp2021_10.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    30. Chen, Zhenxi, 2016. "Regimes dependent speculative trading: Evidence from the United States housing market," FinMaP-Working Papers 66, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    31. Saskia ter Ellen & Willem F. C. Verschoor, 2018. "Heterogeneous Beliefs and Asset Price Dynamics: A Survey of Recent Evidence," Dynamic Modeling and Econometrics in Economics and Finance, in: Fredj Jawadi (ed.), Uncertainty, Expectations and Asset Price Dynamics, pages 53-79, Springer.
    32. Cifarelli, Giulio & Paladino, Giovanna, 2018. "Can the interaction between a single long-term attractor and heterogeneous trading explain exchange rate behaviour? A nonlinear econometric investigation," MPRA Paper 83894, University Library of Munich, Germany.
    33. Gonzalez-Perez, Maria T., 2015. "Model-free volatility indexes in the financial literature: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 141-159.
    34. Mengling Li & Huanhuan Zheng, 2017. "Heterogeneous trading and complex price dynamics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 437-442, July.
    35. Coqueret, Guillaume, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 180-201.
    36. Zhang, Wei & Zhou, Zhong-Qiang & Xiong, Xiong, 2019. "Behavioral heterogeneity and excess stock price volatility in China," Finance Research Letters, Elsevier, vol. 28(C), pages 348-354.
    37. Guillaume Coqueret, 2016. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02088097, HAL.
    38. Huang, Weihong & Zheng, Huanhuan, 2012. "Financial crises and regime-dependent dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 445-461.
    39. Brianzoni, Serena & Campisi, Giovanni, 2020. "Dynamical analysis of a financial market with fundamentalists, chartists, and imitators," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    40. Carl Chiarella & Xue-Zhong He & Remco C.J. Zwinkels, 2014. "Heterogeneous Expectations in Asset Pricing: Empirical Evidence from the S&P500," Research Paper Series 344, Quantitative Finance Research Centre, University of Technology, Sydney.
    41. Filippo Gusella, 2019. "Modelling Minskyan financial cycles with fundamentalist and extrapolative price strategies: An empirical analysis via the Kalman filter approach," Working Papers - Economics wp2019_24.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    42. Chen, Zhenxi, 2014. "Estimating heterogeneous agents behavior with different investment horizons in stock markets," FinMaP-Working Papers 5, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    43. Lee, Adrian D. & Li, Mengling & Zheng, Huanhuan, 2020. "Bitcoin: Speculative asset or innovative technology?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    44. Chiarella, Carl & ter Ellen, Saskia & He, Xue-Zhong & Wu, Eliza, 2015. "Fear or fundamentals? Heterogeneous beliefs in the European sovereign CDS market," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 19-34.
    45. Franke, Reiner & Westerhoff, Frank, 2012. "Structural stochastic volatility in asset pricing dynamics: Estimation and model contest," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1193-1211.
    46. Baur, Dirk G. & Glover, Kristoffer J., 2014. "Heterogeneous expectations in the gold market: Specification and estimation," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 116-133.
    47. Filippo Gusella & Giorgio Ricchiuti, 2022. "A State-Space Approach for Time-Series Prediction of an Heterogeneous Agent Model," Working Papers - Economics wp2022_20.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    48. Tai, Chung-Ching & Chen, Shu-Heng & Yang, Lee-Xieng, 2018. "Cognitive ability and earnings performance: Evidence from double auction market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 409-440.

  17. Carl Chiarella & Jonathan Ziveyi, 2011. "Two Stochastic Volatility Processes - American Option Pricing," Research Paper Series 292, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Belssing Taruvinga, 2019. "Solving Selected Problems on American Option Pricing with the Method of Lines," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2019, January-A.
    2. Blessing Taruvinga & Boda Kang & Christina Sklibosios Nikitopoulos, 2018. "Pricing American Options with Jumps in Asset and Volatility," Research Paper Series 394, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Ziveyi, Jonathan & Blackburn, Craig & Sherris, Michael, 2013. "Pricing European options on deferred annuities," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 300-311.

  18. Carl Chiarella & Les Clewlow & Boda Kang, 2011. "The Evaluation of Multiple Year Gas Sales Agreement with Regime Switching," Research Paper Series 288, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Dong, Wenfeng & Kang, Boda, 2019. "Analysis of a multiple year gas sales agreement with make-up, carry-forward and indexation," Energy Economics, Elsevier, vol. 79(C), pages 76-96.

  19. Carl Chiarella & Peter Flaschel & Florian Hartmann & Christian R. Proaño, 2011. "Stock market booms, endogenous credit creation and the implications of broad and narrow banking for macroeconomic stability," Working Papers 1107, New School for Social Research, Department of Economics.

    Cited by:

    1. Daniele Tavani & Luca Zamparelli, 2020. "Growth, income distribution, and the ‘entrepreneurial state’," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 117-141, January.
    2. Naira Kotb & Christian R. Proaño, 2023. "Capital‐constrained loan creation, household stock market participation and monetary policy in a behavioural new Keynesian model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 3789-3807, October.
    3. Samuel Demeulemeester, 2022. "What analytical framework for Sovereign Money? Some insight from the 100% Money literature, and a comment on criticisms," Working Papers hal-03751756, HAL.
    4. Matthieu Charpe & Peter Flaschel & Florian Hartmann & Roberto Veneziani, 2012. "Towards Keynesian DSGD (isequilibrium) Modelling: Real-Financial Market Interactions with Heterogeneous Expectations Dynamics," IMK Working Paper 93-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    5. Park, Hyun Woong, 2019. "Securitized banking, procyclical bank leverage, and financial instability," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 283-300.
    6. Nikolaidi, Maria, 2014. "Margins of safety and instability in a macrodynamic model with Minskyan insights," Structural Change and Economic Dynamics, Elsevier, vol. 31(C), pages 1-16.
    7. Di Guilmi, Corrado & Galanis, Giorgos & Proaño, Christian R., 2023. "A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 50-67.
    8. Yannis Dafermos, 2015. "Debt cycles, instability and fiscal rules: a Godley-Minsky model," Working Papers 20151509, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    9. Samuel Demeulemeester, 2022. "Divorcing money creation from bank loans: revisiting the “100% money” proposal of the 1930s [Dissocier la création monétaire des prêts bancaires : retour sur la proposition "100% monnaie"," Post-Print hal-03938669, HAL.
    10. Richters, Oliver & Siemoneit, Andreas, 2019. "Marktwirtschaft reparieren: Entwurf einer freiheitlichen, gerechten und nachhaltigen Utopie," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 213814, November.
    11. Yannis Dafermos, 2018. "Debt cycles, instability and fiscal rules: a Godley–Minsky synthesis," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(5), pages 1277-1313.
    12. Florian Hartmann & Matthieu Charpe & Peter Flaschel & Roberto Veneziani, 2016. "A Basic Model of Real-Financial Market Interactions with Heterogeneous Opinion Dynamics," IEER Working Papers 104, Institute of Empirical Economic Research, Osnabrueck University, revised 26 May 2016.
    13. Patrizio Lainà, 2015. "Proposals for Full-Reserve Banking: A Historical Survey from David Ricardo to Martin Wolf," Economic Thought, World Economics Association, vol. 4(2), pages 1-1, September.
    14. Peter Flaschel & Sigrid Luchtenberg, 2012. "Roads to Social Capitalism," Books, Edward Elgar Publishing, number 14812, March.
    15. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    16. Patrizio Laina, 2015. "Money Creation under Full-reserve Banking: A Stock-flow Consistent Model," Economics Working Paper Archive wp_851, Levy Economics Institute.

  20. Carl Chiarella & Chih-Ying Hsiao & Thuy-Duong To, 2011. "Stochastic Correlation and Risk Premia in Term Structure Models," Research Paper Series 298, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Deelstra, Griselda & Grasselli, Martino & Van Weverberg, Christopher, 2016. "The role of the dependence between mortality and interest rates when pricing Guaranteed Annuity Options," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 205-219.
    2. Juneja, Januj, 2017. "Invariance, observational equivalence, and identification: Some implications for the empirical performance of affine term structure models," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 292-305.
    3. Januj Amar Juneja, 2021. "How do invariant transformations affect the calibration and optimization of the Kalman filtering algorithm used in the estimation of continuous-time affine term structure models?," Computational Management Science, Springer, vol. 18(1), pages 73-97, January.
    4. Da Fonseca, José & Gnoatto, Alessandro & Grasselli, Martino, 2013. "A flexible matrix Libor model with smiles," Journal of Economic Dynamics and Control, Elsevier, vol. 37(4), pages 774-793.
    5. Branger, Nicole & Muck, Matthias & Seifried, Frank Thomas & Weisheit, Stefan, 2017. "Optimal portfolios when variances and covariances can jump," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 59-89.
    6. Nicole Branger & Matthias Muck & Stefan Weisheit, 2019. "Correlation risk and international portfolio choice," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 128-146, January.
    7. Alessandro Gnoatto & Martino Grasselli, 2013. "An analytic multi-currency model with stochastic volatility and stochastic interest rates," Papers 1302.7246, arXiv.org, revised Mar 2013.

  21. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2011. "Credit Derivative Pricing with Stochastic Volatility Models," Research Paper Series 293, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2011. "Credit Derivative Pricing with Stochastic Volatility Models," Research Paper Series 293, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Fanelli, Viviana, 2016. "A defaultable HJM modelling of the Libor rate for pricing Basis Swaps after the credit crunch," European Journal of Operational Research, Elsevier, vol. 249(1), pages 238-244.

  22. Gerald Cheang & Carl Chiarella, 2011. "A Modern View on Merton's Jump-Diffusion Model," Research Paper Series 287, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Kuo-Shing Chen & Yu-Chuan Huang, 2021. "Detecting Jump Risk and Jump-Diffusion Model for Bitcoin Options Pricing and Hedging," Mathematics, MDPI, vol. 9(20), pages 1-24, October.
    2. Enrico Scalas & Mauro Politi, 2012. "A parsimonious model for intraday European option pricing," Papers 1202.4332, arXiv.org.
    3. Karl Friedrich Mina & Gerald H. L. Cheang & Carl Chiarella, 2015. "Approximate Hedging Of Options Under Jump-Diffusion Processes," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-26.
    4. F. Antonelli & A. Ramponi & S. Scarlatti, 2016. "Random Time Forward-Starting Options," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(08), pages 1-25, December.
    5. Ulyah, Siti Maghfirotul & Lin, Xenos Chang-Shuo & Miao, Daniel Wei-Chung, 2018. "Pricing short-dated foreign equity options with a bivariate jump-diffusion model with correlated fat-tailed jumps," Finance Research Letters, Elsevier, vol. 24(C), pages 113-128.
    6. Nikita Ratanov, 2015. "Telegraph Processes with Random Jumps and Complete Market Models," Methodology and Computing in Applied Probability, Springer, vol. 17(3), pages 677-695, September.

  23. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2012. "An Evolutionary CAPM Under Heterogeneous Beliefs," Research Paper Series 315, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Giulio Bottazzi & Pietro Dindo, 2013. "Evolution and market behavior in economics and finance: introduction to the special issue," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 507-512, July.
    3. Lei Shi, 2010. "Portfolio Analysis and Equilibrium Asset Pricing with Heterogeneous Beliefs," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2010, January-A.
    4. Schmitt, Noemi & Westerhoff, Frank, 2013. "Speculative behavior and the dynamics of interacting stock markets," BERG Working Paper Series 90, Bamberg University, Bamberg Economic Research Group.
    5. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    6. Thorsten Hens & Fatemeh Naebi, 2022. "Behavioral heterogeneity in the CAPM with evolutionary dynamics," Journal of Evolutionary Economics, Springer, vol. 32(5), pages 1499-1521, November.
    7. Anufriev, Mikhail & Bottazzi, Giulio & Marsili, Matteo & Pin, Paolo, 2012. "Excess covariance and dynamic instability in a multi-asset model," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1142-1161.
    8. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    9. Hung-Wen Lin & Jing-Bo Huang & Kun-Ben Lin & Shu-Heng Chen, 2022. "The competitions of time-varying and constant loadings in asset pricing models: empirical evidence and agent-based simulations," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 577-612, April.
    10. Roberto Dieci & Xue-Zhong He, 2021. "Cross-section instability in financial markets: impatience, extrapolation, and switching," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 727-754, December.
    11. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2015, January-A.
    12. Lenhard, Gregor, 2024. "Learning from the Past: The Role of Personal Experiences in Artificial Stock Markets," Working papers 2024/01, Faculty of Business and Economics - University of Basel.
    13. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.

  24. Carl Chiarella & Andreas Rothig, 2010. "Small Traders in Currency Futures Markets," Research Paper Series 278, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Dirk G. Baur & Lee A. Smales, 2022. "Trading behavior in bitcoin futures: Following the “smart money”," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1304-1323, July.
    2. Lee A. Smales, 2022. "Trading Behavior in Agricultural Commodity Futures around the 52-Week High," Commodities, MDPI, vol. 1(1), pages 1-15, June.
    3. Hossfeld, Oliver & Röthig, Andreas, 2016. "Do speculative traders anticipate or follow USD/EUR exchange rate movements? New evidence on the efficiency of the EUR currency futures market," Finance Research Letters, Elsevier, vol. 18(C), pages 218-225.
    4. Hung, Jui-Cheng & Liu, Hung-Chun & Yang, J. Jimmy, 2021. "Trading activity and price discovery in Bitcoin futures markets," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 107-120.
    5. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2023. "Predictability of crypto returns: The impact of trading behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    6. Егорова Людмила Геннадьевна, 2014. "Эффективность Торговых Стратегий Мелких Трейдеров," Проблемы управления, CyberLeninka;Общество с ограниченной ответственностью "СенСиДат-Контрол", issue 5, pages 34-41.
    7. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2023. "Predicting inflation expectations: A habit-based explanation under hedging," International Review of Financial Analysis, Elsevier, vol. 89(C).
    8. Chang, Ya-Kai & Chen, Yu-Lun & Chou, Robin K. & Gau, Yin-Feng, 2013. "The effectiveness of position limits: Evidence from the foreign exchange futures markets," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4501-4509.

  25. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2010. "Markovian Defaultable HJM Term Structure Models with Unspanned Stochastic Volatility," Research Paper Series 283, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. N. Moreni & A. Pallavicini, 2014. "Parsimonious HJM modelling for multiple yield curve dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 14(2), pages 199-210, February.
    2. Christa Cuchiero & Claudio Fontana & Alessandro Gnoatto, 2014. "A general HJM framework for multiple yield curve modeling," Working Papers hal-01011752, HAL.
    3. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2011. "Credit Derivative Pricing with Stochastic Volatility Models," Research Paper Series 293, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Laura Morino & Wolfgang J. Ruggaldier, 2014. "On multicurve models for the term structure," Papers 1401.5431, arXiv.org.
    5. Lee, Shyan Yuan & Chiou, Wan-Jiun Paul & Chung, Yi-Fang, 2017. "Pricing corporate bonds and constructing credit curves in a developing country: The case of the Taiwan bond fund crisis," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 261-274.
    6. Robert J. Elliott & Tak Kuen Siu, 2016. "Pricing regime-switching risk in an HJM interest rate environment," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1791-1800, December.
    7. Andrea Pallavicini & Damiano Brigo, 2013. "Interest-Rate Modelling in Collateralized Markets: Multiple curves, credit-liquidity effects, CCPs," Papers 1304.1397, arXiv.org.

  26. Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Eleonora Cavallaro & Bernardo Maggi, 2016. "State of confidence, overborrowing and the macroeconomic stabilization puzzle: a system dynamic approach," Working Papers in Public Economics 174, Department of Economics and Law, Sapienza University of Roma.
    2. De Grauwe, Paul & Gerba, Eddie, 2018. "The role of cognitive limitations and heterogeneous expectations for aggregate production and credit cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 206-236.
    3. Carl Chiarella & Corrado Di Guilmi, 2011. "Limit Distribution of Evolving Strategies in Financial Markets," Research Paper Series 294, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Mulligan, Robert F., 2013. "New evidence on the structure of production: Real and Austrian business cycle theory and the financial instability hypothesis," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 67-77.
    5. Robert W. Dimand, 2014. "James Tobin and Modern Monetary Theory," Center for the History of Political Economy Working Paper Series 2014-5, Center for the History of Political Economy.
    6. Di Guilmi, Corrado & Carvalho, Laura, 2017. "The dynamics of leverage in a demand-driven model with heterogeneous firms," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 70-90.
    7. Roberto Veneziani & Luca Zamparelli & Corrado Di Guilmi, 2017. "The Agent-Based Approach To Post Keynesian Macro-Modeling," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1183-1203, December.
    8. Deborah Noguera & Gabriel Montes-Rojas, 2023. "Minskyan model with credit rationing in a network economy," SN Business & Economics, Springer, vol. 3(3), pages 1-26, March.
    9. Catalano, Michele & Di Guilmi, Corrado, 2019. "Uncertainty, rationality and complexity in a multi-sectoral dynamic model: The dynamic stochastic generalized aggregation approach," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 117-144.
    10. Marco Raberto & Andrea Teglio & Silvano Cincotti, 2012. "Macroprudential policies in an agent-based artificial economy," Working Papers 2012/05, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Nikolaidi, Maria & Stockhammer, Engelbert, 2017. "Minsky models: a structured survey," Greenwich Papers in Political Economy 17739, University of Greenwich, Greenwich Political Economy Research Centre.
    12. Corrado Di Guilmi & Laura Carvalho, 2015. "The dynamics of leverage in a Minskyan model with heterogenous firms," Working Paper Series 28, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    13. Carl Chiarella & Corrado Di Guilmi, 2013. "Monetary Policy and Debt Deflation: Some Computational Experiments," CAMA Working Papers 2013-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2019. "Winter is possibly not coming: mitigating financial instability in an agent-based model with interbank market," SciencePo Working papers Main hal-03403274, HAL.
    15. Salle, Isabelle & Seppecher, Pascal, 2018. "Stabilizing an unstable complex economy on the limitations of simple rules," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 289-317.
    16. Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Heterogeneity and Clustering of Defaults," The Warwick Economics Research Paper Series (TWERPS) 1083, University of Warwick, Department of Economics.
    17. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," Documents de Travail de l'OFCE 2012-06, Observatoire Francais des Conjonctures Economiques (OFCE).
    18. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2021. "(Ir)rational explorers in the financial jungle," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1157-1188, September.
    19. Guilmi, Corrado Di & Fujiwara, Yoshi, 2022. "Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 346-371.
    20. Lena Gerdes & Bernhard Rengs & Manuel Scholz-Wäckerle, 2022. "Labor and environment in global value chains: an evolutionary policy study with a three-sector and two-region agent-based macroeconomic model," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 123-173, January.
    21. Nikolaidi, Maria, 2017. "Three decades of modelling Minsky: what we have learned and the way forward," Greenwich Papers in Political Economy 17509, University of Greenwich, Greenwich Political Economy Research Centre.
    22. Ryoo, Soon, 2015. "Household debt and housing bubble: A Minskian approach to boom-bust cycles," UMASS Amherst Economics Working Papers 2015-08, University of Massachusetts Amherst, Department of Economics.
    23. Bovari, Emmanuel & Giraud, Gaël & Mc Isaac, Florent, 2018. "Coping With Collapse: A Stock-Flow Consistent Monetary Macrodynamics of Global Warming," Ecological Economics, Elsevier, vol. 147(C), pages 383-398.
    24. Yannis Dafermos, 2015. "Debt cycles, instability and fiscal rules: a Godley-Minsky model," Working Papers 20151509, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    25. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2011. "Debt deleveraging and business cycles: An agent-based perspective," Economics Discussion Papers 2011-31, Kiel Institute for the World Economy (IfW Kiel).
    26. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    27. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    28. Adam B. Barrett, 2017. "Stability of zero-growth economics analysed with a Minskyan model," Papers 1704.08161, arXiv.org, revised Nov 2017.
    29. Laura Carvalho & Corrado Di Guilmi, 2014. "Income inequality and macroeconomic instability: a stock-flow consistent approach with heterogeneous agents," CAMA Working Papers 2014-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    30. Mulligan, Robert F., 2013. "A sectoral analysis of the financial instability hypothesis," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(4), pages 450-459.
    31. Filippo Gusella & Engelbert Stockhammer, 2021. "Testing fundamentalist–momentum trader financial cycles: An empirical analysis via the Kalman filter," Metroeconomica, Wiley Blackwell, vol. 72(4), pages 758-797, November.
    32. Yannis Dafermos, 2018. "Debt cycles, instability and fiscal rules: a Godley–Minsky synthesis," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(5), pages 1277-1313.
    33. Bhar, Ramaprasad & Malliaris, A.G., 2021. "Modeling U.S. monetary policy during the global financial crisis and lessons for Covid-19," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 15-33.
    34. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.
    35. Laura Carvalho & Corrado Di Guilmi, 2020. "Technological unemployment and income inequality: a stock-flow consistent agent-based approach," Journal of Evolutionary Economics, Springer, vol. 30(1), pages 39-73, January.
    36. Simone Landini & Mauro Gallegati, 2014. "Heterogeneity, interaction and emergence: effects of composition," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(3/4), pages 339-361.
    37. Gräbner, Claudius & Heimberger, Philipp & Kapeller, Jakob & Landesmann, Michael & Schütz, Bernhard, 2021. "The evolution of debtor-creditor relationships within a monetary union: Trade imbalances, excess reserves and economic policy," ifso working paper series 10, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    38. Gallegati, Marco & Delli Gatti, Domenico, 2018. "Macrofinancial imbalances in historical perspective: A global crisis index," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 190-205.
    39. Cavallaro, Eleonora & Maggi, Bernardo, 2016. "State of confidence, overborrowing and macroeconomic stabilization in out-of-equilibrium dynamics," Economic Modelling, Elsevier, vol. 59(C), pages 210-223.
    40. Karlis, Alexandros & Galanis, Girogos & Terovitis, Spyridon & Turner, Matthew, 2017. "Heterogeneity and Clustering of Defaults," Economic Research Papers 270011, University of Warwick - Department of Economics.
    41. Chen, Zhenxi & Lien, Donald & Lin, Yaheng, 2021. "Sentiment: The bridge between financial markets and macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1177-1190.
    42. Costa Lima, B. & Grasselli, M.R. & Wang, X.-S. & Wu, J., 2014. "Destabilizing a stable crisis: Employment persistence and government intervention in macroeconomics," Structural Change and Economic Dynamics, Elsevier, vol. 30(C), pages 30-51.
    43. Chiarella Carl & Di Guilmi Corrado & Zhi Tianhao, 2020. "“Animal spirits” and bank’s lending behaviour, a disequilibrium approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-21, April.
    44. Hideyuki Adachi & Atsushi Miyake, 2015. "A Macrodynamic Analysis of Financial Instability," World Scientific Book Chapters, in: Hideyuki Adachi & Tamotsu Nakamura & Yasuyuki Osumi (ed.), Studies in Medium-Run Macroeconomics Growth, Fluctuations, Unemployment, Inequality and Policies, chapter 5, pages 117-146, World Scientific Publishing Co. Pte. Ltd..
    45. Di Guilmi, C. & Gallegati, M. & Landini, S. & Stiglitz, J.E., 2020. "An analytical solution for network models with heterogeneous and interacting agents," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 189-220.
    46. Corrado Di Guilmi & Xue-Zhong He & Kai Li, 2013. "Herding, Trend Chasing and Market Volatility," Research Paper Series 337, Quantitative Finance Research Centre, University of Technology, Sydney.
    47. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    48. Chiarella Carl & Di Guilmi Corrado, 2012. "The Fiscal Cost of Financial Instability," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-29, October.
    49. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2020. "(Ir)rational explorers in the financial jungle: modelling Minsky with heterogeneous agents," Department of Economics University of Siena 819, Department of Economics, University of Siena.
    50. Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2016, January-A.
    51. Min Liu & Yamei Li & Jiangfeng Hu, 2024. "Does the Yangtze River Protection Strategy help heavily polluting corporates deleverage? Evidence from corporates in the Yangtze River Economic Belt," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-30, April.
    52. Domenico Delli Gatti & Corrado Di Guilmi & Mauro Gallegati & Simone Landini, 2012. "Reconstructing Aggregate Dynamics in Heterogeneous Agents Models. A Markovian Approach," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 117-146.
    53. Gaël Giraud & Florent MCISAAC & Emmanuel BOVARI, 2018. "Coping with the Collapse: A Stock-Flow Consistent Monetary Macrodynamics of Global Warming - Updated version dated July 2017," Working Paper 987f5d77-9601-4865-9ce1-4, Agence française de développement.
    54. Carl Chiarella & Corrado Di Guilmi, 2014. "Financial instability and debt deflation dynamics in a bottom-up approach," Economics Bulletin, AccessEcon, vol. 34(1), pages 125-132.
    55. Rosser, J. Barkley & Rosser, Marina V., 2023. "The Bielefeld School of economics, Post Keynesian economics, and dynamic complexity," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 454-465.

  27. Carl Chiarella & Boda Kang & Gunter H. Meyer, 2010. "The Evaluation Of Barrier Option Prices Under Stochastic Volatility," Research Paper Series 266, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Hongshan Li & Zhongyi Huang, 2019. "Artificial boundary method for the solution of pricing European options under the Heston model," Papers 1912.00691, arXiv.org.
    2. Kim, Jerim & Kim, Jeongsim & Joo Yoo, Hyun & Kim, Bara, 2015. "Pricing external barrier options in a regime-switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 123-143.
    3. Keegan Mendonca & Vasileios E. Kontosakos & Athanasios A. Pantelous & Konstantin M. Zuev, 2018. "Efficient Pricing of Barrier Options on High Volatility Assets using Subset Simulation," Papers 1803.03364, arXiv.org, revised Mar 2018.
    4. Jun Cheng & Jin Zhang, 2012. "Analytical pricing of American options," Review of Derivatives Research, Springer, vol. 15(2), pages 157-192, July.
    5. Yeny E. Rodríguez & Miguel A. Pérez-Uribe & Javier Contreras, 2021. "Wind Put Barrier Options Pricing Based on the Nordix Index," Energies, MDPI, vol. 14(4), pages 1-14, February.
    6. Maya Briani & Lucia Caramellino & Antonino Zanette, 2013. "A hybrid approach for the implementation of the Heston model," Papers 1307.7178, arXiv.org, revised Sep 2017.
    7. Maya Briani & Lucia Caramellino & Giulia Terenzi & Antonino Zanette, 2019. "Numerical Stability Of A Hybrid Method For Pricing Options," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(07), pages 1-46, November.
    8. Robert J. Elliott & Katsumasa Nishide & Carlton‐James U. Osakwe, 2016. "Heston‐Type Stochastic Volatility with a Markov Switching Regime," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(9), pages 902-919, September.
    9. Ziveyi, Jonathan & Blackburn, Craig & Sherris, Michael, 2013. "Pricing European options on deferred annuities," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 300-311.
    10. Maya Briani & Lucia Caramellino & Antonino Zanette, 2017. "A hybrid approach for the implementation of the Heston model," Post-Print hal-00916440, HAL.
    11. Hideharu Funahashi & Tomohide Higuchi, 2018. "An analytical approximation for single barrier options under stochastic volatility models," Annals of Operations Research, Springer, vol. 266(1), pages 129-157, July.
    12. Ballestra, Luca Vincenzo & Pacelli, Graziella, 2013. "Pricing European and American options with two stochastic factors: A highly efficient radial basis function approach," Journal of Economic Dynamics and Control, Elsevier, vol. 37(6), pages 1142-1167.
    13. Maya Briani & Lucia Caramellino & Giulia Terenzi & Antonino Zanette, 2016. "Numerical stability of a hybrid method for pricing options," Papers 1603.07225, arXiv.org, revised Dec 2019.
    14. Susanne Griebsch & Kay Pilz, 2012. "A Stochastic Approach to the Valuation of Barrier Options in Heston's Stochastic Volatility Model," Research Paper Series 309, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Jonathan Ziveyi, 2011. "The Evaluation of Early Exercise Exotic Options," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2011, January-A.
    16. S. Simaitis & C. S. L. de Graaf & N. Hari & D. Kandhai, 2016. "Smile and default: the role of stochastic volatility and interest rates in counterparty credit risk," Quantitative Finance, Taylor & Francis Journals, vol. 16(11), pages 1725-1740, November.

  28. Carl Chiarella & Les Clewlow & Boda Kang, 2009. "Modelling and Estimating the Forward Price Curve in the Energy Market," Research Paper Series 260, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Oleksandr Castello & Marina Resta, 2023. "A Machine-Learning-Based Approach for Natural Gas Futures Curve Modeling," Energies, MDPI, vol. 16(12), pages 1-22, June.
    2. Almansour, Abdullah, 2016. "Convenience yield in commodity price modeling: A regime switching approach," Energy Economics, Elsevier, vol. 53(C), pages 238-247.
    3. Carl Chiarella & Les Clewlow & Boda Kang, 2016. "The Evaluation Of Multiple Year Gas Sales Agreement With Regime Switching," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-25, February.
    4. Hendrik Kohrs & Hermann Mühlichen & Benjamin R. Auer & Frank Schuhmacher, 2019. "Pricing and risk of swing contracts in natural gas markets," Review of Derivatives Research, Springer, vol. 22(1), pages 77-167, April.

  29. Carl Chiarella & Boda Kang, 2009. "The Evaluation of American Compound Option Prices Under Stochastic Volatility Using the Sparse Grid Approach," Research Paper Series 245, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Belssing Taruvinga, 2019. "Solving Selected Problems on American Option Pricing with the Method of Lines," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2019, January-A.
    2. Gapeev, Pavel V. & Kort, Peter M. & Lavrutich, Maria N. & Thijssen, Jacco J. J., 2022. "Optimal double stopping problems for maxima and minima of geometric Brownian motions," LSE Research Online Documents on Economics 114849, London School of Economics and Political Science, LSE Library.
    3. Blessing Taruvinga & Boda Kang & Christina Sklibosios Nikitopoulos, 2018. "Pricing American Options with Jumps in Asset and Volatility," Research Paper Series 394, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Wang, Xiandong & He, Jianmin, 2017. "A simple method for generalized sequential compound options pricing," Mathematical Social Sciences, Elsevier, vol. 87(C), pages 85-91.
    5. Pavel V. Gapeev, 2022. "Perpetual American Double Lookback Options on Drawdowns and Drawups with Floating Strikes," Methodology and Computing in Applied Probability, Springer, vol. 24(2), pages 749-788, June.
    6. Ming-Chi Chang & Yuan-Chung Sheu & Ming-Yao Tsai, 2015. "Pricing Perpetual American Compound Options under a Matrix-Exponential Jump-Diffusion Model," Applied Mathematical Finance, Taylor & Francis Journals, vol. 22(6), pages 553-575, December.
    7. Mahayni, Antje & Schoenmakers, John G.M., 2011. "Minimum return guarantees with fund switching rights—An optimal stopping problem," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1880-1897.
    8. Ingo Beyna, 2013. "Interest Rate Derivatives," Lecture Notes in Economics and Mathematical Systems, Springer, edition 127, number 978-3-642-34925-6, December.
    9. Cao, Jiling & Lian, Guanghua & Roslan, Teh Raihana Nazirah, 2016. "Pricing variance swaps under stochastic volatility and stochastic interest rate," Applied Mathematics and Computation, Elsevier, vol. 277(C), pages 72-81.
    10. Susanne Griebsch, 2013. "The evaluation of European compound option prices under stochastic volatility using Fourier transform techniques," Review of Derivatives Research, Springer, vol. 16(2), pages 135-165, July.
    11. Carl Chiarella & Boda Kang & Gunter H. Meyer, 2010. "The Evaluation Of Barrier Option Prices Under Stochastic Volatility," Research Paper Series 266, Quantitative Finance Research Centre, University of Technology, Sydney.
    12. Andrey Itkin, 2015. "LSV models with stochastic interest rates and correlated jumps," Papers 1511.01460, arXiv.org, revised Nov 2016.

  30. Asada, Toichiro & Chiarella, Carl & Flaschel, Peter & Mouakil, Tarik & Proaño, Christian R., 2009. "Stabilizing an unstable economy: on the choice of proper policy measures," Economics Discussion Papers 2009-50, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Peter Flaschel & Alfred Greiner, 2011. "A Future for Capitalism," Books, Edward Elgar Publishing, number 14241, March.
    2. Soon Ryoo & Peter Skott, 2013. "Public debt and full employment in a stock-flow consistent model of a corporate economy," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 35(4), pages 511-528.
    3. Chiarella Carl & Flaschel Peter & Köper Carsten & Proaño Christian & Semmler Willi, 2012. "Macroeconomic Stabilization Policies in Intrinsically Unstable Macroeconomies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(2), pages 1-38, April.
    4. Westerhoff, Frank, 2011. "Interactions between the real economy and the stock market," BERG Working Paper Series 84, Bamberg University, Bamberg Economic Research Group.
    5. Salle, Isabelle & Seppecher, Pascal, 2018. "Stabilizing an unstable complex economy on the limitations of simple rules," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 289-317.
    6. Toichiro Asada, 2012. "Modeling financial instability," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 9(2), pages 215-232.
    7. Matthieu Charpe & Peter Flaschel & Florian Hartmann & Roberto Veneziani, 2012. "Towards Keynesian DSGD (isequilibrium) Modelling: Real-Financial Market Interactions with Heterogeneous Expectations Dynamics," IMK Working Paper 93-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    8. Ryoo, Soon, 2015. "Household debt and housing bubble: A Minskian approach to boom-bust cycles," UMASS Amherst Economics Working Papers 2015-08, University of Massachusetts Amherst, Department of Economics.
    9. De Grauwe, Paul & Foresti, Pasquale, 2023. "Interactions of fiscal and monetary policies under waves of optimism and pessimism," LSE Research Online Documents on Economics 119452, London School of Economics and Political Science, LSE Library.
    10. Colacchio, Giorgio, 2014. "Taxation, income redistribution and debt dynamics in a seven-equation model of the business cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 140-165.
    11. Soon Ryoo & Peter Skott, 2017. "Fiscal and Monetary Policy Rules in an Unstable Economy," Metroeconomica, Wiley Blackwell, vol. 68(3), pages 500-548, July.
    12. Flaschel, Peter & Greiner, Alfred, 2012. "Flexicurity Capitalism: Foundations, Problems, and Perspectives," OUP Catalogue, Oxford University Press, number 9780199751587.
    13. Toichiro Asada & Carl Chiarella & Peter Flaschel & Tarik Mouakil & Christian Proaño & Willi Semmler, 2011. "Stock‐Flow Interactions, Disequilibrium Macroeconomics And The Role Of Economic Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 25(3), pages 569-599, July.
    14. Greg Hannsgen & Tai Young-Taft, 2015. "Inside Money in a Kaldor-Kalecki-Steindl Fiscal Policy Model: The Unit of Account, Inflation, Leverage, and Financial Fragility," Economics Working Paper Archive wp_839, Levy Economics Institute.
    15. F. Cavalli & A. Naimzada & N. Pecora, 2022. "A stylized macro-model with interacting real, monetary and stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 225-257, January.
    16. Eleonora Cavallaro & Bernardo Maggi, 2014. "State of confidence, overborrowing and the macroeconomic stabilization puzzle," DSS Empirical Economics and Econometrics Working Papers Series 2014/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    17. Isabelle Salle & Pascal Seppecher, 2017. "Stabilizing an Unstable Complex Economy," Working Papers hal-01527740, HAL.
    18. Flaschel, Peter & Hartmann, Florian & Malikane, Christopher & Semmler, Willi, 2010. "Broad Banking, Financial Markets and the Return of the Narrow Banking Idea," The Journal of Economic Asymmetries, Elsevier, vol. 7(2), pages 105-137.
    19. Chiarella Carl & Di Guilmi Corrado, 2012. "The Fiscal Cost of Financial Instability," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-29, October.
    20. Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2016, January-A.
    21. Charpe, Matthieu & Flaschel, Peter & Hartmann, Florian & Proaño, Christian, 2011. "Stabilizing an unstable economy: Fiscal and monetary policy, stocks, and the term structure of interest rates," Economic Modelling, Elsevier, vol. 28(5), pages 2129-2136, September.
    22. Soon Ryoo, 2013. "Minsky cycles in Keynesian models of growth and distribution," Review of Keynesian Economics, Edward Elgar Publishing, vol. 1(1), pages 37-60, January.
    23. Frank Westerhoff, 2012. "Interactions between the Real Economy and the Stock Market: A Simple Agent-Based Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2012, pages 1-21, July.

  31. Carl Chiarella & Xue-Zhong He & Paolo Pellizzari, 2009. "A Dynamic Analysis of the Microstructure of Moving Average Rules in a Double Auction Market," Research Paper Series 251, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Paolo Pellizzari & Dan Ladley, 2014. "The simplicity of optimal trading in order book markets," Working Papers 2014:05, Department of Economics, University of Venice "Ca' Foscari".
    2. Mingjie Ji & Honggang Li, 2016. "Exploring Price Fluctuations in a Double Auction Market," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 189-209, August.
    3. Ma, Rong & Zhang, Yin & Li, Honggang, 2017. "Traders’ behavioral coupling and market phase transition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 618-627.
    4. Zhao, Zhijun & Zhang, Xiaoqi, 2022. "A continuous heterogeneous-agent model for the co-evolution of asset price and wealth distribution in financial market," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    5. He, Xue-Zhong & Lin, Shen, 2022. "Reinforcement Learning Equilibrium in Limit Order Markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    6. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Qixuan Luo & Shijia Song & Handong Li, 2023. "Research on the Effects of Liquidation Strategies in the Multi-asset Artificial Market," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1721-1750, December.
    8. Wang, Lijun & An, Haizhong & Liu, Xiaojia & Huang, Xuan, 2016. "Selecting dynamic moving average trading rules in the crude oil futures market using a genetic approach," Applied Energy, Elsevier, vol. 162(C), pages 1608-1618.
    9. Xuan Zhou & Honggang Li, 2019. "Buying on Margin and Short Selling in an Artificial Double Auction Market," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1473-1489, December.
    10. Qixuan Luo & Yu Shi & Xuan Zhou & Handong Li, 2021. "Research on the Effects of Institutional Liquidation Strategies on the Market Based on Multi-agent Model," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1025-1049, December.
    11. Kun Xing & Honggang Li, 2024. "Market Ecology: Trading Strategies and Market Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3333-3351, December.
    12. Xinyue Dong & Honggang Li, 2019. "The Effect of Extremely Small Price Limits: Evidence from the Early Period of the Chinese Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(7), pages 1516-1530, May.
    13. Dong, Xinyue & Ma, Rong & Li, Honggang, 2019. "Stock index pegging and extreme markets," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 13-21.

  32. Carl Chiarella & Xue-Zhong He & Min Zheng, 2009. "Heterogeneous Expectations and Exchange Rate Dynamics," Research Paper Series 243, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Sensoy, Ahmet & Serdengeçti, Süleyman, 2020. "Impact of portfolio flows and heterogeneous expectations on FX jumps: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 68(C).
    2. Min Zheng & Duo Wang & Xue-Zhong He, 2009. "Asymmetry of technical analysis and market price volatility," Published Paper Series 2009-6, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Wilson Sy, 2009. "Towards a national default option for low‐cost superannuation," Accounting Research Journal, Emerald Group Publishing Limited, vol. 22(1), pages 46-67, July.
    4. He, Xue-Zhong & Li, Youwei & Zheng, Min, 2019. "Heterogeneous agent models in financial markets: A nonlinear dynamics approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 135-149.
    5. Peter Flaschel & Florian Hartmann & Chris Malikane & Christian R. Proaño, 2014. "A Behavioral Macroeconomic Model of Exchange Rate Fluctuations with Complex Market Expectations Formation," IEER Working Papers 98, Institute of Empirical Economic Research, Osnabrueck University, revised 29 Jan 2014.
    6. Min Zheng, 2015. "Heterogeneous Expectations and Speculative Behavior in Insurance-Linked Securities," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-12, March.
    7. Soumya Datta, 2019. "Exchange rate dynamics under limits of arbitrage and heterogeneous expectations," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 521-550, September.

  33. Gerald Cheang & Carl Chiarella & Andrew Ziogas, 2009. "An Analysis of American Options Under Heston Stochastic Volatility and Jump-Diffusion Dynamics," Research Paper Series 256, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Boda Kang & Gunter H. Meyer & Andrew Ziogas, 2008. "The Evaluation of American Option Prices Under Stochastic Volatility and Jump-Diffusion Dynamics Using the Method of Lines," Research Paper Series 219, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Gerald H. L. Cheang & Carl Chiarella & Andrew Ziogas, 2013. "The representation of American options prices under stochastic volatility and jump-diffusion dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 13(2), pages 241-253, January.
    3. Fernanda D'Ippoliti & Enrico Moretto & Sara Pasquali & Barbara Trivellato, 2010. "Exact Pricing With Stochastic Volatility And Jumps," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(06), pages 901-929.
    4. Carl Chiarella & Jonathan Ziveyi, 2011. "Two Stochastic Volatility Processes - American Option Pricing," Research Paper Series 292, Quantitative Finance Research Centre, University of Technology, Sydney.

  34. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2009. "A Framework for CAPM with Heterogenous Beliefs," Research Paper Series 254, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2012. "An Evolutionary CAPM Under Heterogeneous Beliefs," Research Paper Series 315, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Guillaume Coqueret & Bertrand Tavin, 2019. "Procedural rationality, asset heterogeneity and market selection," Post-Print hal-02312310, HAL.
    3. Xue‐Zhong He & Lei Shi, 2012. "Boundedly rational equilibrium and risk premium," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 71-93, March.
    4. Matthias Raddant & Friedrich Wagner, 2013. "Phase Transition in the S&P Stock Market," Papers 1306.2508, arXiv.org, revised Jun 2015.
    5. Lei Shi, 2010. "Portfolio Analysis and Equilibrium Asset Pricing with Heterogeneous Beliefs," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2010, January-A.
    6. Xue-Zhong He & Lei Shi, 2012. "Disagreement in a Multi-Asset Market," International Review of Finance, International Review of Finance Ltd., vol. 12(3), pages 357-373, September.
    7. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    8. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2015, January-A.
    10. Coqueret, Guillaume, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 180-201.
    11. Xue-Zhong He & Lei Shi, 2010. "Differences in Opinion and Risk Premium," Research Paper Series 271, Quantitative Finance Research Centre, University of Technology, Sydney.
    12. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    14. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.

  35. Carl Chiarella & Boda Kang & Gunter H. Meyer & Andrew Ziogas, 2008. "The Evaluation of American Option Prices Under Stochastic Volatility and Jump-Diffusion Dynamics Using the Method of Lines," Research Paper Series 219, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Shen, Jinye & Huang, Weizhang & Ma, Jingtang, 2024. "An efficient and provable sequential quadratic programming method for American and swing option pricing," European Journal of Operational Research, Elsevier, vol. 316(1), pages 19-35.
    2. Luca Vincenzo Ballestra & Enzo D’Innocenzo & Andrea Guizzardi, 2024. "Score-Driven Modeling with Jumps: An Application to S&P500 Returns and Options," Journal of Financial Econometrics, Oxford University Press, vol. 22(2), pages 375-406.
    3. Peter Carr & Andrey Itkin & Sasha Stoikov, 2019. "A model-free backward and forward nonlinear PDEs for implied volatility," Papers 1907.07305, arXiv.org.
    4. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2020. "A Put-Call Transformation of the Exchange Option Problem under Stochastic Volatility and Jump Diffusion Dynamics," Papers 2002.10194, arXiv.org.
    5. Gerald H. L. Cheang & Len Patrick Dominic M. Garces, 2020. "Representation of Exchange Option Prices under Stochastic Volatility Jump-Diffusion Dynamics," Papers 2002.10202, arXiv.org.
    6. Belssing Taruvinga, 2019. "Solving Selected Problems on American Option Pricing with the Method of Lines," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2019, January-A.
    7. Jun Cheng & Jin Zhang, 2012. "Analytical pricing of American options," Review of Derivatives Research, Springer, vol. 15(2), pages 157-192, July.
    8. Gerald H. L. Cheang & Carl Chiarella & Andrew Ziogas, 2013. "The representation of American options prices under stochastic volatility and jump-diffusion dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 13(2), pages 241-253, January.
    9. Boda Kang & Christina Nikitopoulos Sklibosios & Erik Schlogl & Blessing Taruvinga, 2019. "The Impact of Jumps on American Option Pricing: The S&P 100 Options Case," Research Paper Series 397, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Maya Briani & Lucia Caramellino & Giulia Terenzi & Antonino Zanette, 2019. "Numerical Stability Of A Hybrid Method For Pricing Options," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(07), pages 1-46, November.
    11. Zhylyevskyy, Oleksandr, 2009. "A Fast Fourier Transform Technique for Pricing American Options Under Stochastic Volatility," Staff General Research Papers Archive 13112, Iowa State University, Department of Economics.
    12. Blessing Taruvinga & Boda Kang & Christina Sklibosios Nikitopoulos, 2018. "Pricing American Options with Jumps in Asset and Volatility," Research Paper Series 394, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Carl Chiarella & Christina Nikitopoulos-Sklibosios & Erik Schlogl & Hongang Yang, 2016. "Pricing American Options under Regime Switching Using Method of Lines," Research Paper Series 368, Quantitative Finance Research Centre, University of Technology, Sydney.
    14. Kang, Boda & Ziveyi, Jonathan, 2018. "Optimal surrender of guaranteed minimum maturity benefits under stochastic volatility and interest rates," Insurance: Mathematics and Economics, Elsevier, vol. 79(C), pages 43-56.
    15. Fabozzi, Frank J. & Paletta, Tommaso & Stanescu, Silvia & Tunaru, Radu, 2016. "An improved method for pricing and hedging long dated American options," European Journal of Operational Research, Elsevier, vol. 254(2), pages 656-666.
    16. Carl Chiarella & Jonathan Ziveyi, 2014. "Pricing American options written on two underlying assets," Quantitative Finance, Taylor & Francis Journals, vol. 14(3), pages 409-426, March.
    17. Gerald Cheang & Carl Chiarella & Andrew Ziogas, 2009. "An Analysis of American Options Under Heston Stochastic Volatility and Jump-Diffusion Dynamics," Research Paper Series 256, Quantitative Finance Research Centre, University of Technology, Sydney.
    18. Bertram During & Alexander Pitkin, 2017. "High-order compact finite difference scheme for option pricing in stochastic volatility jump models," Papers 1704.05308, arXiv.org, revised Feb 2019.
    19. Robert J. Elliott & Katsumasa Nishide & Carlton‐James U. Osakwe, 2016. "Heston‐Type Stochastic Volatility with a Markov Switching Regime," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(9), pages 902-919, September.
    20. Carl Chiarella & Jonathan Ziveyi, 2011. "Two Stochastic Volatility Processes - American Option Pricing," Research Paper Series 292, Quantitative Finance Research Centre, University of Technology, Sydney.
    21. Jérôme Detemple, 2014. "Optimal Exercise for Derivative Securities," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 459-487, December.
    22. Ming Xi Huang, 2010. "Modelling Default Correlations in a Two-Firm Model with Dynamic Leverage Ratios," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2010, January-A.
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    24. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2021. "A Numerical Approach to Pricing Exchange Options under Stochastic Volatility and Jump-Diffusion Dynamics," Papers 2106.07362, arXiv.org.
    25. Christoph Reisinger & Jan Hendrik Witte, 2010. "On the Use of Policy Iteration as an Easy Way of Pricing American Options," Papers 1012.4976, arXiv.org, revised Sep 2011.
    26. Company, Rafael & Egorova, Vera N. & Jódar, Lucas, 2021. "A front-fixing ETD numerical method for solving jump–diffusion American option pricing problems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 189(C), pages 69-84.
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    28. Zhylyevskyy, Oleksandr, 2012. "Joint Characteristic Function of Stock Log-Price and Squared Volatility in the Bates Model and Its Asset Pricing Applications," Staff General Research Papers Archive 35559, Iowa State University, Department of Economics.
    29. Andrey Itkin, 2015. "HIGH ORDER SPLITTING METHODS FOR FORWARD PDEs AND PIDEs," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1-24.
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    36. Jennifer Alonso Garcia & Samuel Thirurajah & Jonathan Ziveyi, 2024. "A hybrid variable annuity contract embedded with living and death benefit riders," ULB Institutional Repository 2013/385588, ULB -- Universite Libre de Bruxelles.
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    Cited by:

    1. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2012. "An Evolutionary CAPM Under Heterogeneous Beliefs," Research Paper Series 315, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Hermsen, Oliver & Witte, Björn-Christopher & Westerhoff, Frank, 2009. "Disclosure requirements, the release of new information and market efficiency: new insights from agent-based models," Economics Discussion Papers 2009-51, Kiel Institute for the World Economy (IfW Kiel).
    3. Schmitt, Noemi & Westerhoff, Frank, 2017. "On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations," BERG Working Paper Series 119, Bamberg University, Bamberg Economic Research Group.
    4. Tramontana, Fabio & Westerhoff, Frank & Gardini, Laura, 2010. "On the complicated price dynamics of a simple one-dimensional discontinuous financial market model with heterogeneous interacting traders," Journal of Economic Behavior & Organization, Elsevier, vol. 74(3), pages 187-205, June.
    5. Fischer, Thomas, 2011. "News Reaction in Financial Markets within a Behavioral Finance Model with Heterogeneous Agents," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 54196, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Huang, Weihong & Zheng, Huanhuan & Chia, Wai-Mun, 2010. "Financial crises and interacting heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 34(6), pages 1105-1122, June.
    7. Giuliana Passamani & Roberto Tamborini & Matteo Tomaselli, 2016. "Taxing financial transactions in fundamentally heterogeneous markets," DEM Working Papers 2016/10, Department of Economics and Management.
    8. Eduard Krkoska & Klaus Reiner Schenk-Hoppé, 2019. "Herding in Smart-Beta Investment Products," JRFM, MDPI, vol. 12(1), pages 1-14, March.
    9. Dirk G Baur & Kristoffer Glover, 2012. "A Gold Bubble?," Working Paper Series 175, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    10. Fabio Tramontana & Laura Gardini & Roberto Dieci & Frank Westerhoff, 2009. "The Emergence of Bull and Bear Dynamics in a Nonlinear Model of Interacting Markets," Discrete Dynamics in Nature and Society, Hindawi, vol. 2009, pages 1-30, July.
    11. Palczewski, Jan & Schenk-Hoppé, Klaus Reiner & Wang, Tongya, 2016. "Itchy feet vs cool heads: Flow of funds in an agent-based financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 63(C), pages 53-68.
    12. Westerhoff, Frank & Franke, Reiner, 2012. "Agent-based models for economic policy design: Two illustrative examples," BERG Working Paper Series 88, Bamberg University, Bamberg Economic Research Group.
    13. Nava, Noemi & Di Matteo, T. & Aste, Tomaso, 2016. "Anomalous volatility scaling in high frequency financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 434-445.
    14. Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2018. "Market entry waves and volatility outbursts in stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 19-37.
    15. Carl Chiarella & Corrado Di Guilmi, 2011. "Limit Distribution of Evolving Strategies in Financial Markets," Research Paper Series 294, Quantitative Finance Research Centre, University of Technology, Sydney.
    16. Xue-Zhong He & Min Zheng, 2010. "Dynamics of Moving Average Rules in a Continuous-time Financial Market Model," Research Paper Series 268, Quantitative Finance Research Centre, University of Technology, Sydney.
    17. Carl Chiarella & Xue-Zhong He & Min Zheng, 2009. "Heterogeneous Expectations and Exchange Rate Dynamics," Research Paper Series 243, Quantitative Finance Research Centre, University of Technology, Sydney.
    18. Taisei KAIZOJI & Matthias LEISS & Alexander I. SAICHEV & Didier SORNETTE, 2015. "Super-Exponential Endogenous Bubbles in an Equilibrium Model of Fundamentalist and Chartist Traders," Swiss Finance Institute Research Paper Series 15-07, Swiss Finance Institute.
    19. Schmitt, Noemi, 2018. "Heterogeneous expectations and asset price dynamics," BERG Working Paper Series 134, Bamberg University, Bamberg Economic Research Group.
    20. Chiarella Carl & Flaschel Peter & Köper Carsten & Proaño Christian & Semmler Willi, 2012. "Macroeconomic Stabilization Policies in Intrinsically Unstable Macroeconomies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(2), pages 1-38, April.
    21. Dieci, Roberto & Westerhoff, Frank, 2011. "On the inherent instability of international financial markets: Natural nonlinear interactions between stock and foreign exchange markets," BERG Working Paper Series 79, Bamberg University, Bamberg Economic Research Group.
    22. Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.
    23. Westerhoff, Frank, 2011. "Interactions between the real economy and the stock market," BERG Working Paper Series 84, Bamberg University, Bamberg Economic Research Group.
    24. Yu Zhang & Weihong Huang, 2018. "Impact of strategy switching on wealth accumulation," Journal of Evolutionary Economics, Springer, vol. 28(4), pages 961-983, September.
    25. Sushko, Iryna & Tramontana, Fabio & Westerhoff, Frank & Avrutin, Viktor, 2015. "Symmetry breaking in a bull and bear financial market model," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 57-72.
    26. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    27. Fischer, Thomas & Riedler, Jesper, 2014. "Prices, Debt and Market Structure in an Agent-Based Model of the Financial Market," FinMaP-Working Papers 21, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    28. Igor V. Evstigneev & Thorsten Hens & Klaus Reiner Schenk-Hoppé, 2008. "Evolutionary Finance," Swiss Finance Institute Research Paper Series 08-14, Swiss Finance Institute.
    29. Te Bao & Cars Hommes & Tomasz Makarewicz, 2015. "Bubble Formation and (In)Efficient Markets in Learning-to-Forecast and -optimise Experiments," Tinbergen Institute Discussion Papers 15-107/II, Tinbergen Institute.
    30. Fathi Abid & Bilel Kaffel, 2018. "The extent of virgin olive-oil prices’ distribution revealing the behavior of market speculators," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 561-590, February.
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    33. Tramontana, Fabio & Westerhoff, Frank & Gardini, Laura, 2012. "The bull and bear market model of Huang and Day : Some extensions and new results," BERG Working Paper Series 89, Bamberg University, Bamberg Economic Research Group.
    34. Sordi, Serena & Vercelli, Alessandro, 2012. "Heterogeneous expectations and strong uncertainty in a Minskyian model of financial fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 544-557.
    35. Schmitt, Noemi & Westerhoff, Frank, 2015. "Managing rational routes to randomness," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 157-173.
    36. Lei Shi, 2010. "Portfolio Analysis and Equilibrium Asset Pricing with Heterogeneous Beliefs," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2010, January-A.
    37. He, Xue-Zhong & Li, Kai, 2015. "Profitability of time series momentum," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 140-157.
    38. Philip Z. Maymin, 2010. "Schizophrenic Representative Investors," Papers 1004.4592, arXiv.org.
    39. Wai-Mun Chia & Mengling Li & Huanhuan Zheng, 2017. "Behavioral heterogeneity in the Australian housing market," Applied Economics, Taylor & Francis Journals, vol. 49(9), pages 872-885, February.
    40. Gallegati, Marco & Ramsey, James B., 2014. "The forward looking information content of equity and bond markets for aggregate investments," Journal of Economics and Business, Elsevier, vol. 75(C), pages 1-24.
    41. Gaffeo, Edoardo & Molinari, Massimo, 2017. "Taxing financial transactions in fundamentally heterogeneous markets," Economic Modelling, Elsevier, vol. 64(C), pages 322-333.
    42. Radu T. Pruna & Maria Polukarov & Nicholas R. Jennings, 2020. "Loss aversion in an agent-based asset pricing model," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 275-290, February.
    43. Matthias Lengnick & Hans-Werner Wohltmann, 2013. "Agent-based financial markets and New Keynesian macroeconomics: a synthesis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 1-32, April.
    44. Gaffeo, Edoardo, 2019. "Leverage and evolving heterogeneous beliefs in a simple agent-based financial market," Finance Research Letters, Elsevier, vol. 29(C), pages 272-279.
    45. Chiarella, Carl & He, Xue-Zhong & Zheng, Min, 2011. "An analysis of the effect of noise in a heterogeneous agent financial market model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 148-162, January.
    46. Friedrich Wagner, 2011. "Market clearing by maximum entropy in agent models of stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 6(2), pages 121-138, November.
    47. Zheng, Min & Liu, Ruipeng & Li, Youwei, 2018. "Long memory in financial markets: A heterogeneous agent model perspective," MPRA Paper 84886, University Library of Munich, Germany.
    48. Fabio Tramontana & Frank Westerhoff & Laura Gardini, 2011. "A simple financial market model with chartists and fundamentalists: market entry levels and discontinuities," Quaderni di Dipartimento 150, University of Pavia, Department of Economics and Quantitative Methods.
    49. Jackson, Antony & Ladley, Daniel, 2016. "Market ecologies: The effect of information on the interaction and profitability of technical trading strategies," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 270-280.
    50. Schmitt, Noemi & Westerhoff, Frank, 2013. "Speculative behavior and the dynamics of interacting stock markets," BERG Working Paper Series 90, Bamberg University, Bamberg Economic Research Group.
    51. Zheng, Min & Wang, Hefei & Wang, Chengzhang & Wang, Shouyang, 2017. "Speculative behavior in a housing market: Boom and bust," Economic Modelling, Elsevier, vol. 61(C), pages 50-64.
    52. Thorsten Lehnert & Bart Frijns & Remco Zwinkels, 2009. "Behavioral Heterogeneity in the Option Market," LSF Research Working Paper Series 09-07, Luxembourg School of Finance, University of Luxembourg.
    53. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    54. Buckley, Winston S. & Long, Hongwei, 2015. "A discontinuous mispricing model under asymmetric information," European Journal of Operational Research, Elsevier, vol. 243(3), pages 944-955.
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    56. Schmitt, Noemi & Westerhoff, Frank, 2016. "Stock market participation and endogenous boom-bust dynamics," Economics Letters, Elsevier, vol. 148(C), pages 72-75.
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    60. Adam Majewski & Stefano Ciliberti & Jean-Philippe Bouchaud, 2018. "Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model," Papers 1807.11751, arXiv.org.
    61. Thomas Ankenbrand & Fabian Kostadinov & Faten Ben Bouheni & Mondher Bellalah, 2020. "Cyclical behaviour of the Swiss real estate market," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 39(1/2), pages 71-99.
    62. Alexandru Mandes & Peter Winker, 2015. "Complexity and Model Comparison in Agent Based Modeling of Financial Markets," MAGKS Papers on Economics 201528, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    63. Palczewski, Jan & Schenk-Hoppé, Klaus Reiner, 2010. "From discrete to continuous time evolutionary finance models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 913-931, May.
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    66. Tolhurst, Tor N., 2018. "A Model-Free Bubble Detection Method: Application to the World Market for Superstar Wines," 2018 Annual Meeting, August 5-7, Washington, D.C. 274387, Agricultural and Applied Economics Association.
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    68. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
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    70. Dieci, Roberto & Westerhoff, Frank, 2016. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear economic dynamics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 21-44.
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    90. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    91. Thomas Fischer, 2017. "Can Redistribution by Means of a Progressive Labor Income-Taxation Transfer System Increase Financial Stability?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-3.
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    96. Lijian Wei & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2013. "Learning and Information Dissemination in Limit Order Markets," Research Paper Series 333, Quantitative Finance Research Centre, University of Technology, Sydney.
    97. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2015, January-A.
    98. Agliari, Anna & Naimzada, Ahmad & Pecora, Nicolò, 2018. "Boom-bust dynamics in a stock market participation model with heterogeneous traders," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 458-468.
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    100. Xue-Zhong He & Kai Li, 2014. "Time Series Momentum and Market Stability," Research Paper Series 341, Quantitative Finance Research Centre, University of Technology, Sydney.
    101. Radu T. Pruna & Maria Polukarov & Nicholas R. Jennings, 2016. "A new structural stochastic volatility model of asset pricing and its stylized facts," Papers 1604.08824, arXiv.org.
    102. Carl Chiarella & Xue-Zhong He & Paolo Pellizzari, 2009. "A Dynamic Analysis of the Microstructure of Moving Average Rules in a Double Auction Market," Research Paper Series 251, Quantitative Finance Research Centre, University of Technology, Sydney.
    103. Coqueret, Guillaume, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 180-201.
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    110. Dieci, Roberto & Westerhoff, Frank, 2015. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear dynamics approach," BERG Working Paper Series 99, Bamberg University, Bamberg Economic Research Group.
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    112. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2009. "A Framework for CAPM with Heterogenous Beliefs," Research Paper Series 254, Quantitative Finance Research Centre, University of Technology, Sydney.
    113. Brianzoni, Serena & Campisi, Giovanni, 2020. "Dynamical analysis of a financial market with fundamentalists, chartists, and imitators," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    114. Carl Chiarella & Xue-Zhong He & Remco C.J. Zwinkels, 2014. "Heterogeneous Expectations in Asset Pricing: Empirical Evidence from the S&P500," Research Paper Series 344, Quantitative Finance Research Centre, University of Technology, Sydney.
    115. Franke, Reiner, 2009. "Applying the method of simulated moments to estimate a small agent-based asset pricing model," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 804-815, December.
    116. Hommes, Cars, 2018. "Carl’s nonlinear cobweb," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 7-20.
    117. Qingbin Gong & Zhe Yang, 2020. "Arbitrage, speculation and futures price fluctuations with boundedly rational and heterogeneous agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 763-791, October.
    118. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    119. Chiarella Carl & Di Guilmi Corrado, 2012. "The Fiscal Cost of Financial Instability," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-29, October.
    120. Cafferata, Alessia & Tramontana, Fabio, 2019. "A financial market model with confirmation bias," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 252-259.
    121. Chiarella, Carl & ter Ellen, Saskia & He, Xue-Zhong & Wu, Eliza, 2015. "Fear or fundamentals? Heterogeneous beliefs in the European sovereign CDS market," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 19-34.
    122. Giovanni Campisi & Silvia Muzzioli, 2020. "Fundamentalists heterogeneity and the role of the sentiment indicator," Department of Economics 0167, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    123. Franke, Reiner & Westerhoff, Frank, 2012. "Structural stochastic volatility in asset pricing dynamics: Estimation and model contest," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1193-1211.
    124. Dieci, Roberto & Westerhoff, Frank, 2010. "Heterogeneous speculators, endogenous fluctuations and interacting markets: A model of stock prices and exchange rates," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 743-764, April.
    125. Fabio Tramontana, 2013. "The role of cognitively biased imitators in a small scale agent-based financial market," DEM Working Papers Series 029, University of Pavia, Department of Economics and Management.
    126. Franke, Reiner, 2010. "On the specification of noise in two agent-based asset pricing models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(6), pages 1140-1152, June.
    127. Baur, Dirk G. & Glover, Kristoffer J., 2014. "Heterogeneous expectations in the gold market: Specification and estimation," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 116-133.
    128. Blake LeBaron, 2010. "Heterogeneous Gain Learning and Long Swings in Asset Prices," Working Papers 10, Brandeis University, Department of Economics and International Business School.
    129. Alessandro Vercelli, 2011. "A Perspective on Minsky Moments: Revisiting the Core of the Financial Instability Hypothesis," Review of Political Economy, Taylor & Francis Journals, vol. 23(1), pages 49-67.

  37. Gerald H. L. Cheang & Carl Chiarella, 2008. "Exchange Options Under Jump-Diffusion Dynamics," Research Paper Series 235, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Wang, Guanying & Wang, Xingchun & Shao, Xinjian, 2022. "Exchange options for catastrophe risk management," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    2. Hangsuck Lee & Seongjoo Song & Gaeun Lee, 2023. "Insurance guaranty premiums and exchange options," Mathematics and Financial Economics, Springer, volume 17, number 3, February.
    3. Dongdong Hu & Hasanjan Sayit & Svetlozar T. Rachev, 2021. "Moment Matching Method for Pricing Spread Options with Mean-Variance Mixture L\'evy Motions," Papers 2109.02872, arXiv.org, revised Feb 2024.
    4. François M. Quittard-Pinon & Rivo Randrianarivony, 2010. "Exchange Options when One Underlying Price Can Jump," Finance, Presses universitaires de Grenoble, vol. 31(1), pages 33-53.
    5. Villamor, Enrique & Olivares, Pablo, 2024. "Pricing exchange options under stochastic correlation," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    6. Enrique Villamor & Pablo Olivares, 2020. "Pricing Exchange Options under Stochastic Correlation," Papers 2001.03967, arXiv.org.
    7. Enrique Villamor & Pablo Olivares, 2023. "Valuing Exchange Options under an Ornstein-Uhlenbeck Covariance Model," IJFS, MDPI, vol. 11(2), pages 1-24, March.
    8. Fred Espen Benth & Giulia Di Nunno & Asma Khedher & Maren Diane Schmeck, 2015. "Pricing of Spread Options on a Bivariate Jump Market and Stability to Model Risk," Applied Mathematical Finance, Taylor & Francis Journals, vol. 22(1), pages 28-62, March.
    9. Olivares Pablo & Villamor Enrique, 2017. "Valuing Exchange Options Under an Ornstein-Uhlenbeck Covariance Model," Papers 1711.10013, arXiv.org.
    10. Hu, Dongdong & Sayit, Hasanjan & Yao, Jing & Zhong, Qifeng, 2024. "Closed-form approximations for basket option pricing under normal tempered stable Lévy model," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    11. Pablo Olivares & Matthew Cane, 2014. "Pricing Spread Options under Stochastic Correlation and Jump-Diffusion Models," Papers 1409.1175, arXiv.org.
    12. Renée Fry-McKibbin & Vance Martin & Chrismin Tang, 2013. "Financial Contagion and Asset Pricing," CAMA Working Papers 2013-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    13. Caldana, Ruggero & Fusai, Gianluca, 2013. "A general closed-form spread option pricing formula," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4893-4906.
    14. Matteo Gardini & Piergiacomo Sabino & Emanuela Sasso, 2020. "Correlating L\'evy processes with Self-Decomposability: Applications to Energy Markets," Papers 2004.04048, arXiv.org, revised Jul 2020.
    15. Zakaria Marah, 2023. "American Exchange option driven by a L\'evy process," Papers 2307.10900, arXiv.org.
    16. Kim, Geonwoo & Koo, Eunho, 2016. "Closed-form pricing formula for exchange option with credit risk," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 221-227.

  38. Carl Chiarella & Viviana Fanelli & Silvana Musti, 2008. "Modelling the Evolution of Credit Spreads using the Cox Process within the HUM Framework: A CDS Option Pricing Model," Research Paper Series 232, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Moreno, M. & Serrano, P. & Stute, Winfried, 2008. "Statistical properties and economic implications of Jump-Diffusion Processes with Shot-Noise effects," DEE - Working Papers. Business Economics. WB wb084912, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    2. Changqing Luo & Mengzhen Li & Zisheng Ouyang, 2016. "An empirical study on the correlation structure of credit spreads based on the dynamic and pair copula functions," China Finance Review International, Emerald Group Publishing Limited, vol. 6(3), pages 284-303, August.
    3. Fanelli, Viviana & Maddalena, Lucia & Musti, Silvana, 2016. "Modelling electricity futures prices using seasonal path-dependent volatility," Applied Energy, Elsevier, vol. 173(C), pages 92-102.
    4. Mitra, Sovan & Date, Paresh & Mamon, Rogemar & Wang, I-Chieh, 2013. "Pricing and risk management of interest rate swaps," European Journal of Operational Research, Elsevier, vol. 228(1), pages 102-111.
    5. Cheikh Mbaye & Fr'ed'eric Vrins, 2019. "An arbitrage-free conic martingale model with application to credit risk," Papers 1909.02474, arXiv.org.
    6. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2011. "Credit Derivative Pricing with Stochastic Volatility Models," Research Paper Series 293, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Lee, Shyan Yuan & Chiou, Wan-Jiun Paul & Chung, Yi-Fang, 2017. "Pricing corporate bonds and constructing credit curves in a developing country: The case of the Taiwan bond fund crisis," International Review of Economics & Finance, Elsevier, vol. 50(C), pages 261-274.
    8. Mohamed Ben Alaya & Ahmed Kebaier & Djibril Sarr, 2024. "Credit Spreads' Term Structure: Stochastic Modeling with CIR++ Intensity," Papers 2409.09179, arXiv.org.
    9. Samuel Chege Maina, 2011. "Credit Risk Modelling in Markovian HJM Term Structure Class of Models with Stochastic Volatility," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2011, January-A.
    10. Moreno, Manuel & Platania, Federico, 2015. "A cyclical square-root model for the term structure of interest rates," European Journal of Operational Research, Elsevier, vol. 241(1), pages 109-121.
    11. Fanelli, Viviana, 2017. "Implications of implicit credit spread volatilities on interest rate modelling," European Journal of Operational Research, Elsevier, vol. 263(2), pages 707-718.
    12. Fanelli, Viviana, 2016. "A defaultable HJM modelling of the Libor rate for pricing Basis Swaps after the credit crunch," European Journal of Operational Research, Elsevier, vol. 249(1), pages 238-244.
    13. Wang, Chuan-Ju & Dai, Tian-Shyr & Lyuu, Yuh-Dauh, 2014. "Evaluating corporate bonds with complicated liability structures and bond provisions," European Journal of Operational Research, Elsevier, vol. 237(2), pages 749-757.
    14. Alessandro Andreoli & Luca Vincenzo Ballestra & Graziella Pacelli, 2018. "Pricing Credit Default Swaps Under Multifactor Reduced-Form Models: A Differential Quadrature Approach," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 379-406, March.

  39. Carl Chiarella & Chih-Ying Hsiao & Willi Semmler, 2007. "Intertemporal Investment Strategies Under Inflation Risk," Research Paper Series 192, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Ying‐Yin Chou & Nan‐Wei Han & Mao‐Wei Hung, 2011. "Optimal portfolio‐consumption choice under stochastic inflation with nominal and indexed bonds," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 27(6), pages 691-706, November.
    2. Kevin Fergusson, 2020. "Forecasting inflation using univariate continuous‐time stochastic models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 37-46, January.
    3. Willi Semmler & Raphaële Chappe, 2011. "The Operation of Hedge Funds: Econometric Evidence, Dynamic Modeling, and Regulatory Perspectives," Palgrave Macmillan Books, in: Greg N. Gregoriou & Razvan Pascalau (ed.), Financial Econometrics Modeling: Derivatives Pricing, Hedge Funds and Term Structure Models, chapter 1, pages 3-34, Palgrave Macmillan.
    4. Farid Mkouar & Jean-Luc Prigent, 2014. "Long-Term Investment with Stochastic Interest and Inflation Rates Incompleteness and Compensating Variation," Working Papers 2014-301, Department of Research, Ipag Business School.
    5. Willi Semmler & Raphaele Chappe, 2012. "Ponzi Finance And The Hedge Fund Industry," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-25.
    6. Farid Mkaouar & Jean-Luc Prigent & Ilyes Abid, 2019. "A Diffusion Model for Long-Term Optimization in the Presence of Stochastic Interest and Inflation Rates," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 367-417, June.
    7. Huiling Wu, 2016. "Optimal Investment-Consumption Strategy under Inflation in a Markovian Regime-Switching Market," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-17, July.
    8. Mkaouar, Farid & Prigent, Jean-Luc & Abid, Ilyes, 2017. "Long-term investment with stochastic interest and inflation rates: The need for inflation-indexed bonds," Economic Modelling, Elsevier, vol. 67(C), pages 228-247.
    9. Esfandi, Elaheh & Mousavi, Mir Hossein & Moshrefi, Rassam & Farhang-Moghaddam, Babak, 2020. "Insurer Optimal Asset Allocation in a Small and Closed Economy: The Case of Iran’s Social Security Organization," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(4), pages 445-461, October.

  40. Carl Chiarella & Giulia Iori & Josep Perello, 2007. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Papers 0711.3581, arXiv.org.

    Cited by:

    1. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01499344, HAL.
    2. Johann Lussange & Ivan Lazarevich & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2021. "Modelling Stock Markets by Multi-agent Reinforcement Learning," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 113-147, January.
    3. Paolo Pellizzari & Dan Ladley, 2014. "The simplicity of optimal trading in order book markets," Working Papers 2014:05, Department of Economics, University of Venice "Ca' Foscari".
    4. Ahmed El OUBANI & Mostafa LEKHAL, 2022. "Conception d’un modèle microscopique adapté aux marchés financiers émergents," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 13(1), pages 17-30, June.
    5. Biondo, Alessio Emanuele & Mazzarino, Laura & Pluchino, Alessandro, 2024. "Trading strategies and Financial Performances: A simulation approach," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    6. Efstathios Panayi & Gareth W. Peters, 2015. "Stochastic simulation framework for the limit order book using liquidity-motivated agents," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-52.
    7. Danilo Liuzzi & Paolo Pellizzari & Marco Tolotti, 2019. "Fast traders and slow price adjustments: an artificial market with strategic interaction and transaction costs," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 643-662, September.
    8. Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.
    9. Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2018. "Market entry waves and volatility outbursts in stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 19-37.
    10. Marko Petrovic & Bulent Ozel & Andrea Teglio & Marco Raberto & Silvano Cincotti, 2017. "Eurace Open: An agent-based multi-country model," Working Papers 2017/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Isao Yagi & Mahiro Hoshino & Takanobu Mizuta, 2020. "Analysis of the impact of maker-taker fees on the stock market using agent-based simulation," Papers 2010.08992, arXiv.org.
    12. Fabio Della Rossa & Lorenzo Giannini & Pietro DeLellis, 2020. "Herding or wisdom of the crowd? Controlling efficiency in a partially rational financial market," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    13. Mohammad Zare & Omid Naghshineh Arjmand & Erfan Salavati & Adel Mohammadpour, 2021. "An Agent‐Based model for Limit Order Book: Estimation and simulation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1112-1121, January.
    14. Lu, Jingen & Chen, Xiaohong & Liu, Xiaoxing, 2018. "Stock market information flow: Explanations from market status and information-related behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 837-848.
    15. Gao-Feng Gu & Xiong Xiong & Hai-Chuan Xu & Wei Zhang & Yong-Jie Zhang & Wei Chen & Wei-Xing Zhou, 2017. "An empirical behavioural order-driven model with price limit rules," Papers 1704.04354, arXiv.org.
    16. Xing Gao & Daniel Ladley, 2022. "Noise trading and market stability," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1283-1301, October.
    17. Erdinc Akyildirim & Shaen Corbet & Guzhan Gulay & Duc Khuong Nguyen & Ahmet Sensoy, 2019. "Order Flow Persistence in Equity Spot and Futures Markets: Evidence from a Dynamic Emerging Market," Working Papers 2019-011, Department of Research, Ipag Business School.
    18. Jovanovic, Franck & Schinckus, Christophe, 2016. "Breaking down the barriers between econophysics and financial economics," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 256-266.
    19. Hautsch, Nikolaus & Huang, Ruihong, 2009. "The market impact of a limit order," CFS Working Paper Series 2009/23, Center for Financial Studies (CFS).
    20. Hai-Chuan Xu & Wei Zhang & Xiong Xiong & Wei-Xing Zhou, 2014. "An agent-based computational model for China's stock market and stock index futures market," Papers 1404.1052, arXiv.org.
    21. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    22. Sunyoung Lee & Keun Lee, 2021. "3% rules the market: herding behavior of a group of investors, asset market volatility, and return to the group in an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 359-380, April.
    23. Lijian Wei & Wei Zhang & Xiong Xiong & Yu Zhao, 2014. "A Multi‐agent System for Policy Design of Tick Size in Stock Index Futures Markets," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(4), pages 512-526, July.
    24. Carl Chiarella & Xue-Zhong He & Lijian Wei, 2013. "Learning and Evolution of Trading Strategies in Limit Order Markets," Research Paper Series 335, Quantitative Finance Research Centre, University of Technology, Sydney.
    25. Mingjie Ji & Honggang Li, 2016. "Exploring Price Fluctuations in a Double Auction Market," Computational Economics, Springer;Society for Computational Economics, vol. 48(2), pages 189-209, August.
    26. Yamamoto, Ryuichi, 2011. "Order aggressiveness, pre-trade transparency, and long memory in an order-driven market," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1938-1963.
    27. Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.
    28. Donovan Platt & Tim Gebbie, 2016. "Can Agent-Based Models Probe Market Microstructure?," Papers 1611.08510, arXiv.org, revised Aug 2017.
    29. Alexandru Mandes, 2014. "Order Placement in a Continuous Double Auction Agent Based Model," MAGKS Papers on Economics 201443, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    30. Xiong Xiong & Ding Nan & Yang Yang & Zhang Yongjie, 2015. "Study on Market Stability and Price Limit of Chinese Stock Index Futures Market: An Agent-Based Modeling Perspective," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-12, November.
    31. Alessio Emanuele Biondo, 2020. "Information versus imitation in a real-time agent-based model of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 613-631, July.
    32. Alessio Emanuele Biondo, 2018. "Order book microstructure and policies for financial stability," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 35(1), pages 196-218, March.
    33. Mazza, Paolo & Petitjean, Mikael, 2019. "Testing the effect of technical analysis on market quality and order book dynamics," LIDAM Reprints LFIN 2019006, Université catholique de Louvain, Louvain Finance (LFIN).
    34. Jagjeev Dosanjh, 2017. "Exchange Initiatives and Market Efficiency: Evidence from the Australian Securities Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2017, January-A.
    35. Roberto Mota Navarro & Hern'an Larralde Ridaura, 2016. "A detailed heterogeneous agent model for a single asset financial market with trading via an order book," Papers 1601.00229, arXiv.org, revised Jul 2016.
    36. Chiarella, Carl & Ladley, Daniel, 2016. "Chasing trends at the micro-level: The effect of technical trading on order book dynamics," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 119-131.
    37. Shu-Peng Chen & Ling-Yun He, 2013. "Bubble Formation and Heterogeneity of Traders: A Multi-Agent Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 42(3), pages 267-289, October.
    38. Yoshimura, Yushi & Okuda, Hiroshi & Chen, Yu, 2020. "A mathematical formulation of order cancellation for the agent-based modelling of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    39. Wei, Lijian & Zhang, Wei & Xiong, Xiong & Shi, Lei, 2015. "Position limit for the CSI 300 stock index futures market," Economic Systems, Elsevier, vol. 39(3), pages 369-389.
    40. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    41. Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012. "Herding effects in order driven markets: The rise and fall of gurus," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
    42. Jiahua Wang & Hongliang Zhu & Dongxin Li, 2018. "Price Dynamics in an Order-Driven Market with Bayesian Learning," Complexity, Hindawi, vol. 2018, pages 1-15, November.
    43. Dong-Jin Pyo, 2017. "A multi-factor model of heterogeneous traders in a dynamic stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1416902-141, January.
    44. Alessio Emanuele Biondo, 2019. "Order book modeling and financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 469-489, September.
    45. Johann Lussange & Stefano Vrizzi & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2023. "Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1523-1544, April.
    46. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 991-1020, April.
    47. Pyo, Dong-Jin, 2014. "A Multi-Factor Model of Heterogeneous Traders in a Dynamic Stock Market," Staff General Research Papers Archive 37358, Iowa State University, Department of Economics.
    48. Ryuichi Yamamoto, 2022. "Predictor Choice, Investor Types, and the Price Impact of Trades on the Tokyo Stock Exchange," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 325-356, January.
    49. Ya-Chi Huang & Chueh-Yung Tsao, 2018. "Discovering Traders’ Heterogeneous Behavior in High-Frequency Financial Data," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 821-846, April.
    50. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading Volume and Market Efficiency: An Agent Based Model with Heterogenous Knowledge about Fundamentals," Working Papers halshs-00997573, HAL.
    51. Iwao Maeda & David deGraw & Michiharu Kitano & Hiroyasu Matsushima & Kiyoshi Izumi & Hiroki Sakaji & Atsuo Kato, 2020. "Latent Segmentation of Stock Trading Strategies Using Multi-Modal Imitation Learning," JRFM, MDPI, vol. 13(11), pages 1-12, October.
    52. Biondo, Alessio Emanuele, 2017. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics Discussion Papers 2017-104, Kiel Institute for the World Economy (IfW Kiel).
    53. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    54. Anufriev, Mikhail & Panchenko, Valentyn, 2009. "Asset prices, traders' behavior and market design," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1073-1090, May.
    55. Saki Kawakubo & Kiyoshi Izumi & Shinobu Yoshimura, 2014. "Analysis Of An Option Market Dynamics Based On A Heterogeneous Agent Model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(2), pages 105-128, April.
    56. Chia-Hsuan Yeh & Chun-Yi Yang, 2013. "Do price limits hurt the market?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 125-153, April.
    57. Biondo, Alessio Emanuele, 2018. "Learning to forecast, risk aversion, and microstructural aspects of financial stability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-21.
    58. Xiong Xiong & Yian Cui & Xiaocong Yan & Jun Liu & Shaoyi He, 2020. "Cost-benefit analysis of trading strategies in the stock index futures market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-17, December.
    59. Fricke, Daniel & Lux, Thomas, 2013. "The effects of a financial transaction tax in an artificial financial market," Kiel Working Papers 1868, Kiel Institute for the World Economy (IfW Kiel).
    60. Marc de Kamps & Daniel Ladley & Aistis Simaitis, 2012. "Heterogeneous Beliefs in Over-The-Counter Markets," Discussion Papers in Economics 13/03, Division of Economics, School of Business, University of Leicester, revised Sep 2013.
    61. Schasfoort, Joeri & Stockermans, Christopher, 2017. "Fundamentals unknown: Momentum, mean-reversion and price-to-earnings trading in an artificial stock market," Economics Discussion Papers 2017-63, Kiel Institute for the World Economy (IfW Kiel).
    62. Carl Chiarella & Xue-Zhong He & Lei Shi & Lijian Wei, 2014. "A Behavioural Model of Investor Sentiment in Limit Order Markets," Research Paper Series 342, Quantitative Finance Research Centre, University of Technology, Sydney.
    63. Jan Polach & Jiri Kukacka, 2016. "Prospect Theory in the Heterogeneous Agent Model," Working Papers IES 2016/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2016.
    64. Alexandru Mandes & Peter Winker, 2015. "Complexity and Model Comparison in Agent Based Modeling of Financial Markets," MAGKS Papers on Economics 201528, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    65. Georges, Christophre, 2008. "Staggered updating in an artificial financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2809-2825, September.
    66. Lijian Wei & Lei Shi, 2020. "Investor Sentiment in an Artificial Limit Order Market," Complexity, Hindawi, vol. 2020, pages 1-10, June.
    67. Alexandru Mandes, 2020. "Impact of Electronic Liquidity Providers Within a High-Frequency Agent-Based Modeling Framework," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 407-450, February.
    68. Buis, Boyd & Pieterse-Bloem, Mary & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2024. "Gamma positioning and market quality," Journal of Economic Dynamics and Control, Elsevier, vol. 164(C).
    69. Blake LeBaron & Ryuichi Yamamoto, 2008. "The Impact of Imitation on Long Memory in an Order-Driven Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 504-517.
    70. Songtao Wu & Jianmin He & Chao Wang, 2017. "Effects of Common Factors on Dynamics of Stocks Traded by Investors with Limited Information Capacity," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-15, September.
    71. Michiel Leur & Mikhail Anufriev, 2018. "Timing under individual evolutionary learning in a continuous double auction," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 609-631, August.
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    114. Hazem Krichene & Mhamed-Ali El-Aroui, 2018. "Artificial stock markets with different maturity levels: simulation of information asymmetry and herd behavior using agent-based and network models," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 511-535, October.
    115. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
    116. Songtao Wu & Jianmin He & Shouwei Li & Chao Wang, 2018. "Network formation in a multi-asset artificial stock market," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 91(4), pages 1-10, April.
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    120. Kovaleva, Polina & Iori, Giulia, 2015. "The impact of reduced pre-trade transparency regimes on market quality," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 145-162.
    121. Johann Lussange & Stefano Vrizzi & Stefano Palminteri & Boris Gutkin, 2024. "Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study," Post-Print hal-04790290, HAL.
    122. Lijian Wei & Wei Zhang & Xiong Xiong & Lei Shi, 2014. "Position-Limit Design for the CSI 300 Futures Markets," Research Paper Series 349, Quantitative Finance Research Centre, University of Technology, Sydney.
    123. Recchioni, Maria Cristina & Tedeschi, Gabriele & Berardi, Simone, 2014. "Bank's strategies during the financial crisis," FinMaP-Working Papers 25, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    124. Kyubin Yim & Gabjin Oh & Seunghwan Kim, 2016. "Understanding Financial Market States Using an Artificial Double Auction Market," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-15, March.
    125. Steven DiSilvio & Yu & Luo & Anthony Ozerov, 2021. "Traders in a Strange Land: Agent-based discrete-event market simulation of the Figgie card game," Papers 2110.00879, arXiv.org.
    126. Iris Lucas & Michel Cotsaftis & Cyrille Bertelle, 2017. "Heterogeneity and Self-Organization of Complex Systems Through an Application to Financial Market with Multiagent Systems," Post-Print hal-02114933, HAL.
    127. Xinyue Dong & Honggang Li, 2019. "The Effect of Extremely Small Price Limits: Evidence from the Early Period of the Chinese Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(7), pages 1516-1530, May.
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    129. R. Yamamoto & B. LeBaron, 2010. "Order-splitting and long-memory in an order-driven market," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 73(1), pages 51-57, January.
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    131. Lijian Wei & Xiong Xiong & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2017. "The effect of genetic algorithm learning with a classifier system in limit order markets," Published Paper Series 2017-3, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
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    136. Xu, Hai-Chuan & Zhang, Wei & Xiong, Xiong & Wang, Xue & Zhou, Wei-Xing, 2021. "The double-edged role of social learning: Flash crash and lower total volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 405-420.
    137. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2020. "Business fluctuations in a behavioral switching model: Gridlock effects and credit crunch phenomena in financial networks," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
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  41. Carl Chiarella & Xue-Zhong He & Min Zheng, 2007. "The Stochastic Dynamics of Speculative Prices," Research Paper Series 208, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Chiarella, Carl & He, Xue-Zhong & Zheng, Min, 2011. "An analysis of the effect of noise in a heterogeneous agent financial market model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 148-162, January.
    2. Palczewski, Jan & Schenk-Hoppé, Klaus Reiner, 2010. "From discrete to continuous time evolutionary finance models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 913-931, May.
    3. Ghassan Dibeh & Haidar Harmanani, 2012. "A Stochastic Chartist–Fundamentalist Model with Time Delays," Computational Economics, Springer;Society for Computational Economics, vol. 40(2), pages 105-113, August.
    4. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.

  42. Toichiro Asada & Carl Chiarella & Peter Flaschel & Christian R. Proaño, 2007. "Keynesian AD-AS, Quo Vadis?," Working Paper Series 151, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Jose Barrales‐Ruiz & Rudiger von Arnim & Mikidadu Mohammed, 2023. "Income distribution and economic activity: A frequency domain causal exploration," Metroeconomica, Wiley Blackwell, vol. 74(2), pages 306-327, May.
    2. Gaetano Lisi, 2021. "Can the AD-AS Model Explain the Presence and Persistence of the Underground Economy? Evidence from Italy," Economies, MDPI, vol. 9(4), pages 1-11, November.

  43. Röthig, Andreas & Chiarella, Carl, 2007. "Investigating Nonlinear Speculation in Cattle, Corn, and Hog Futures Markets using Logistic Smooth Transition Regression Models," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 29656, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Adam Clements & Neda Todorova, 2014. "The impact of information flow and trading activity on gold and oil futures volatility," NCER Working Paper Series 102, National Centre for Econometric Research.
    2. Chen, Yu-Lun & Yang, J. Jimmy, 2021. "Trader positions in VIX futures," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 1-17.
    3. Liu, Li & Wang, Yudong & Wu, Chongfeng & Wu, Wenfeng, 2016. "Disentangling the determinants of real oil prices," Energy Economics, Elsevier, vol. 56(C), pages 363-373.
    4. Andreas Röthig, 2009. "Microeconomic Risk Management and Macroeconomic Stability," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-01565-6, December.
    5. Sigl-Grüb, C. & Schiereck, D., 2010. "Speculation and Nonlinear Price Dynamics in Commodity Futures Markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 56603, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Yu-Lun Chen & Yin-Feng Gau & Wen-Ju Liao, 2016. "Trading activities and price discovery in foreign currency futures markets," Review of Quantitative Finance and Accounting, Springer, vol. 46(4), pages 793-818, May.
    7. Shimeng Shi, 2022. "Bitcoin futures risk premia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2190-2217, December.
    8. Melike Bildirici & Özgür Ömer Ersin, 2014. "Nonlinearity, Volatility and Fractional Integration in Daily Oil Prices: Smooth Transition Autoregressive ST-FI(AP)GARCH Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 108-135, October.
    9. Wang, Yudong & Liu, Li & Diao, Xundi & Wu, Chongfeng, 2015. "Forecasting the real prices of crude oil under economic and statistical constraints," Energy Economics, Elsevier, vol. 51(C), pages 599-608.
    10. Yuanlong Ge & Holly H. Wang & Sung K. Ahn, 2010. "Cotton market integration and the impact of China's new exchange rate regime," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 443-451, September.
    11. Canepa, Alessandra & Zanetti Chini, Emilio & Alqaralleh, Huthaifa, 2023. "Modelling and Forecasting Energy Market Cycles: A Generalized Smooth Transition Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202318, University of Turin.
    12. Chen, Yu-Lun & Mo, Wan-Shin, 2023. "Determinants and dynamic interactions of trader positions in the gold futures market," Journal of Commodity Markets, Elsevier, vol. 31(C).
    13. Röthig, Andreas, 2008. "The impact of backwardation on hedgers' demand for currency futures contracts: theory versus empirical evidence," Darmstadt Discussion Papers in Economics 190, Darmstadt University of Technology, Department of Law and Economics.
    14. Andreas Röthig, 2011. "On speculators and hedgers in currency futures markets: who leads whom?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 16(1), pages 63-69, January.
    15. Adam E. Clements & Neda Todorova, 2016. "Information Flow, Trading Activity and Commodity Futures Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 88-104, January.
    16. Mutafoglu, Takvor H. & Tokat, Ekin & Tokat, Hakki A., 2012. "Forecasting precious metal price movements using trader positions," Resources Policy, Elsevier, vol. 37(3), pages 273-280.
    17. Röthig, Andreas, 2008. "The Impact of Backwardation on Hedgers' Demand for Currency Futures Contracts: Theory versus Empirical Evidence," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 35698, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    18. Yiuman Tse & Michael Williams, 2011. "Does Index Speculation Impact Commodity Prices? An Intraday Futures Analysis Using intraday data, we find that unidirectional causality runs from commodity index linked commodity futures to non-index ," Working Papers 0007, College of Business, University of Texas at San Antonio.
    19. Yiuman Tse & Michael R. Williams, 2013. "Does Index Speculation Impact Commodity Prices? An Intraday Analysis," The Financial Review, Eastern Finance Association, vol. 48(3), pages 365-383, August.
    20. Liu, Li & Wang, Yudong & Yang, Li, 2018. "Predictability of crude oil prices: An investor perspective," Energy Economics, Elsevier, vol. 75(C), pages 193-205.
    21. Sanders, Dwight R. & Irwin, Scott H. & Merrin, Robert P., 2009. "Smart Money: The Forecasting Ability of CFTC Large Traders in Agricultural Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(2), pages 1-21, August.
    22. Hsiang-Hsi Liu & Pi-Hsia Hung & Po-Hung Luo Cho, 2021. "Nonlinear Interactions and Volatility Spillovers between Stock and Foreign Exchange Markets: The STVEC-STGARCH-DCC Approach," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(4), pages 1-3.
    23. Georg Lehecka, 2015. "Do hedging and speculative pressures drive commodity prices, or the other way round?," Empirical Economics, Springer, vol. 49(2), pages 575-603, September.
    24. Andreas Röthig, 2012. "Cross‐Speculation In Currency Futures Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 272-278, July.
    25. Chang, Ya-Kai & Chen, Yu-Lun & Chou, Robin K. & Gau, Yin-Feng, 2013. "The effectiveness of position limits: Evidence from the foreign exchange futures markets," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4501-4509.

  44. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2006. "Aggregation of Heterogeneous Beliefs and Asset Pricing Theory: A Mean-Variance Analysis," Research Paper Series 186, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Xue-Zhong He & Lei Shi, 2008. "Heterogeneity, Bounded Rationality and Market Dysfunctionality," Research Paper Series 233, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Xue‐Zhong He & Lei Shi, 2012. "Boundedly rational equilibrium and risk premium," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 71-93, March.
    3. Xue-Zhong He & Lei Shi, 2009. "Portfolio Analysis and Zero-Beta CAPM with Heterogeneous Beliefs," Research Paper Series 244, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2009. "A Framework for CAPM with Heterogenous Beliefs," Research Paper Series 254, Quantitative Finance Research Centre, University of Technology, Sydney.

  45. Carl Chiarella & Andrew Ziogas, 2006. "American Call Options on Jump-Diffusion Processes: A Fourier Transform Approach," Research Paper Series 174, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Boda Kang & Gunter H. Meyer & Andrew Ziogas, 2008. "The Evaluation of American Option Prices Under Stochastic Volatility and Jump-Diffusion Dynamics Using the Method of Lines," Research Paper Series 219, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Belssing Taruvinga, 2019. "Solving Selected Problems on American Option Pricing with the Method of Lines," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2019, January-A.
    3. Gerald H. L. Cheang & Carl Chiarella & Andrew Ziogas, 2013. "The representation of American options prices under stochastic volatility and jump-diffusion dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 13(2), pages 241-253, January.
    4. Boda Kang & Christina Nikitopoulos Sklibosios & Erik Schlogl & Blessing Taruvinga, 2019. "The Impact of Jumps on American Option Pricing: The S&P 100 Options Case," Research Paper Series 397, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Markus LEIPPOLD & Nikola VASILJEVIC, 2015. "Pricing and Disentanglement of American Puts in the Hyper-Exponential Jump-Diffusion Model," Swiss Finance Institute Research Paper Series 15-08, Swiss Finance Institute, revised Mar 2015.
    6. Gerald Cheang & Carl Chiarella & Andrew Ziogas, 2009. "An Analysis of American Options Under Heston Stochastic Volatility and Jump-Diffusion Dynamics," Research Paper Series 256, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Susanne Griebsch & Uwe Wystup, 2011. "On the valuation of fader and discrete barrier options in Heston's stochastic volatility model," Quantitative Finance, Taylor & Francis Journals, vol. 11(5), pages 693-709.
    8. Xu Guo & Yutian Li, 2016. "Valuation of American options under the CGMY model," Quantitative Finance, Taylor & Francis Journals, vol. 16(10), pages 1529-1539, October.
    9. Jérôme Detemple, 2014. "Optimal Exercise for Derivative Securities," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 459-487, December.
    10. Le, Nhat-Tan & Dang, Duy-Minh, 2017. "Pricing American-style Parisian down-and-out call options," Applied Mathematics and Computation, Elsevier, vol. 305(C), pages 330-347.
    11. Mahayni, Antje & Schoenmakers, John G.M., 2011. "Minimum return guarantees with fund switching rights—An optimal stopping problem," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1880-1897.
    12. Martin Kegnenlezom & Patrice Takam Soh & Antoine-Marie Bogso & Yves Emvudu Wono, 2019. "European Option Pricing of electricity under exponential functional of L\'evy processes with Price-Cap principle," Papers 1906.10888, arXiv.org.
    13. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2021. "A numerical approach to pricing exchange options under stochastic volatility and jump-diffusion dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2025-2054, December.
    14. Simonato, Jean-Guy, 2011. "Computing American option prices in the lognormal jump–diffusion framework with a Markov chain," Finance Research Letters, Elsevier, vol. 8(4), pages 220-226.
    15. Hatem Ben-Ameur & Rim Chérif & Bruno Rémillard, 2016. "American-style options in jump-diffusion models: estimation and evaluation," Quantitative Finance, Taylor & Francis Journals, vol. 16(8), pages 1313-1324, August.
    16. Andrey Itkin, 2023. "Semi-analytic pricing of American options in time-dependent jump-diffusion models with exponential jumps," Papers 2308.08760, arXiv.org, revised Feb 2024.

  46. Pu Chen & Carl Chiarella & Peter Flaschel & Hing Hung, 2006. "Keynesian Disequilibrium Dynamics: Convergence, Roads to Instability and the Emergence of Complex Business Fluctuations," Working Paper Series 146, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Toichiro Asada & Pu Chen & Carl Chiarella & Peter Flaschel, 2004. "Keynesian Dynamics and the Wage Price Spiral. A Baseline Disequilibrium Approach," Macroeconomics 0409001, University Library of Munich, Germany.
    2. Bernd Hayo & Britta Niehof, 2014. "Analysis of Monetary Policy Responses After Financial Market Crises in a Continuous Time New Keynesian Model," MAGKS Papers on Economics 201421, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    3. Asada, Toichiro & Chen, Pu & Chiarella, Carl & Flaschel, Peter, 2006. "Keynesian dynamics and the wage-price spiral: A baseline disequilibrium model," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 90-130, March.
    4. Bernd Hayo & Britta Niehof, 2013. "Studying International Spillovers in a New Keynesian Continuous Time Framework with Financial Markets," MAGKS Papers on Economics 201342, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    5. Pu Chen & Carl Chiarella & Peter Flaschel & Willi Semmler, 2006. "Keynesian Macrodynamics and the Phillips Curve. An Estimated Baseline Macromodel for the U.S. Economy," Working Paper Series 147, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Ekkehard Ernst & Peter Flaschel & Christian Proano & Willi Semmler, 2006. "Disequilibrium Macroeconomic Dynamics, Income Distribution and Wage-Price Phillips Curves," IMK Working Paper 04-2006, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.

  47. Carl Chiarella & Roberto Dieci & Tony He, 2006. "Aggregation of Heterogeneous Beliefs and Asset Pricing: A Mean-Variance Analysis," Computing in Economics and Finance 2006 108, Society for Computational Economics.

    Cited by:

    1. Xue‐Zhong He & Lei Shi, 2012. "Boundedly rational equilibrium and risk premium," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 71-93, March.
    2. Xue-Zhong He & Lei Shi, 2009. "Portfolio Analysis and Zero-Beta CAPM with Heterogeneous Beliefs," Research Paper Series 244, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2009. "A Framework for CAPM with Heterogenous Beliefs," Research Paper Series 254, Quantitative Finance Research Centre, University of Technology, Sydney.

  48. Carl Chiarella & Xue-Zhong He & Roberto Dieci & University of Technology Sydney, 2006. "A Dynamic Heterogeneous Beliefs CAPM," Computing in Economics and Finance 2006 181, Society for Computational Economics.

    Cited by:

    1. Xue-Zhong He & Lei Shi, 2008. "Heterogeneity, Bounded Rationality and Market Dysfunctionality," Research Paper Series 233, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Xue-Zhong He & Lei Shi, 2009. "Portfolio Analysis and Zero-Beta CAPM with Heterogeneous Beliefs," Research Paper Series 244, Quantitative Finance Research Centre, University of Technology, Sydney.

  49. Pu Chen & Carl Chiarella & Peter Flaschel & Willi Semmler, 2006. "Keynesian Macrodynamics and the Phillips Curve. An Estimated Baseline Macromodel for the U.S. Economy," Working Paper Series 147, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Chen, Pu & Hsiao, Chih-Ying, 2008. "What happens to Japan if China catches a cold?: A causal analysis of Chinese growth and Japanese growth," Japan and the World Economy, Elsevier, vol. 20(4), pages 622-638, December.
    2. Christian R. Proaño, 2011. "Gradual wage-price adjustments, labor market frictions and monetary policy rules," Working Papers 1112, New School for Social Research, Department of Economics.
    3. Giuseppe Orlando & Mario Sportelli, 2021. "Growth and Cycles as a Struggle: Lotka–Volterra, Goodwin and Phillips," Dynamic Modeling and Econometrics in Economics and Finance, in: Giuseppe Orlando & Alexander N. Pisarchik & Ruedi Stoop (ed.), Nonlinearities in Economics, chapter 0, pages 191-208, Springer.
    4. Chihying, Hsiao & Chen, Pu, 2007. "Learning Causal Relations in Multivariate Time Series Data," Economics Discussion Papers 2007-15, Kiel Institute for the World Economy (IfW Kiel).
    5. Peter Flaschel & Göran Kauermann & Willi Semmler, 2007. "Testing Wage And Price Phillips Curves For The United States," Metroeconomica, Wiley Blackwell, vol. 58(4), pages 550-581, November.
    6. Fredrick M. Wamalwa & Justine Burns, 2018. "Private Schools and Student Learning Achievements in Kenya," Working Papers 145, Economic Research Southern Africa.
    7. Christian Proaño, 2009. "(De-)Stabilizing two-country macroeconomic interactions in an estimated model of the U.S. and the Euro Area," International Economics and Economic Policy, Springer, vol. 6(4), pages 421-443, December.
    8. Bernd Hayo & Britta Niehof, 2014. "Analysis of Monetary Policy Responses After Financial Market Crises in a Continuous Time New Keynesian Model," MAGKS Papers on Economics 201421, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    9. Peter Flaschel & Reiner Franke & Willi Semmler, 2021. "Kaleckian Investment and Employment Cycles in Postwar Industrialized Economies," Working Papers 2103, New School for Social Research, Department of Economics.
    10. Asada, Toichiro & Chen, Pu & Chiarella, Carl & Flaschel, Peter, 2006. "Keynesian dynamics and the wage-price spiral: A baseline disequilibrium model," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 90-130, March.
    11. Bernd Hayo & Britta Niehof, 2013. "Studying International Spillovers in a New Keynesian Continuous Time Framework with Financial Markets," MAGKS Papers on Economics 201342, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    12. Chen Pu & Flaschel Peter, 2006. "Measuring the Interaction of Wage and Price Phillips Curves for the U.S. Economy," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-35, December.
    13. Christian R. Proano, 2009. "Heterogenous Behavioral Expectations, FX Fluctuations and Dynamic Stability in a Stylized Two-Country Macroeconomic Model," IMK Working Paper 03-2009, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    14. Carl Chiarella & Hing Hung & Peter Flaschel, 2010. "Keynesian Macrodynamics: Convergence, Roads to Instability and the Emergence of Complex Business Fluctuations," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(3), pages 236-262, November.
    15. Flaschel, Peter & Greiner, Alfred, 2012. "Flexicurity Capitalism: Foundations, Problems, and Perspectives," OUP Catalogue, Oxford University Press, number 9780199751587.
    16. Rudiger von Arnim & Jose Barrales, 2015. "Demand-driven Goodwin cycles with Kaldorian and Kaleckian features," Review of Keynesian Economics, Edward Elgar Publishing, vol. 3(3), pages 351-373, July.
    17. Mamadou Bobo Diallo & Peter Flaschel & Hans-Martin Krolzig & Christian R. Proano, 2011. "Reconsidering the Dynamic Interaction between Real Wages and Macroeconomic Activity," Research in World Economy, Research in World Economy, Sciedu Press, vol. 2(1), pages 77-93, April.
    18. Toichiro Asada & Carl Chiarella & Peter Flaschel & Christian R. Proaño, 2007. "Keynesian AD-AS, Quo Vadis?," Working Paper Series 151, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    19. Rodolphe Dos Santos Ferreira & Philippe Michel, 2013. "Keynes' Wage–Price Dynamics," Metroeconomica, Wiley Blackwell, vol. 64(1), pages 44-72, February.
    20. Proaño, Christian R., 2011. "Exchange rate determination, macroeconomic dynamics and stability under heterogeneous behavioral FX expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 77(2), pages 177-188, February.
    21. Christian R. Proaño & Peter Flaschel & Hans-Martin Krolzig & Mamadou Bobo Diallo, 2011. "Monetary policy and macroeconomic stability under alternative demand regimes," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(3), pages 569-585.
    22. Gaetano Lisi, 2021. "Can the AD-AS Model Explain the Presence and Persistence of the Underground Economy? Evidence from Italy," Economies, MDPI, vol. 9(4), pages 1-11, November.

  50. W. Semmler & P. Chen & C. Chiarella, 2005. "Keynesian Dynamics and the Wage-Price Spiral:Estimating and Analyzing a Baseline Disequilibrium Approach," Computing in Economics and Finance 2005 211, Society for Computational Economics.

    Cited by:

    1. Toichiro Asada & Pu Chen & Carl Chiarella & Peter Flaschel, 2004. "Keynesian Dynamics and the Wage Price Spiral. A Baseline Disequilibrium Approach," Macroeconomics 0409001, University Library of Munich, Germany.
    2. Asada, Toichiro & Chen, Pu & Chiarella, Carl & Flaschel, Peter, 2006. "Keynesian dynamics and the wage-price spiral: A baseline disequilibrium model," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 90-130, March.
    3. Arpaia, Alfonso & Pichelmann, Karl, 2007. "Nominal and real wage flexibility in EMU," MPRA Paper 4364, University Library of Munich, Germany.
    4. Pu Chen & Peter Flaschel, 2005. "Keynesian Dynamics and the Wage–Price Spiral: Identifying Downward Rigidities," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 115-142, February.

  51. Andrew Ziogas & Carl Chiarella, 2005. "Pricing American Options under Stochastic Volatility," Computing in Economics and Finance 2005 77, Society for Computational Economics.

    Cited by:

    1. Farid AitSahlia & Manisha Goswami & Suchandan Guha, 2010. "American option pricing under stochastic volatility: an efficient numerical approach," Computational Management Science, Springer, vol. 7(2), pages 171-187, April.
    2. Junkee Jeon & Jeonggyu Huh & Kyunghyun Park, 2020. "An Analytic Approximation for Valuation of the American Option Under the Heston Model in Two Regimes," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 499-528, August.
    3. Blessing Taruvinga & Boda Kang & Christina Sklibosios Nikitopoulos, 2018. "Pricing American Options with Jumps in Asset and Volatility," Research Paper Series 394, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. O. Samimi & Z. Mardani & S. Sharafpour & F. Mehrdoust, 2017. "LSM Algorithm for Pricing American Option Under Heston–Hull–White’s Stochastic Volatility Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(2), pages 173-187, August.
    5. Gerald Cheang & Carl Chiarella & Andrew Ziogas, 2009. "An Analysis of American Options Under Heston Stochastic Volatility and Jump-Diffusion Dynamics," Research Paper Series 256, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Carl Chiarella & Jonathan Ziveyi, 2011. "Two Stochastic Volatility Processes - American Option Pricing," Research Paper Series 292, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Jeon, Junkee & Kim, Geonwoo, 2019. "Pricing European continuous-installment strangle options," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    8. Susanne Griebsch & Kay Pilz, 2012. "A Stochastic Approach to the Valuation of Barrier Options in Heston's Stochastic Volatility Model," Research Paper Series 309, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Yu. A. Kuperin & P. A. Poloskov, 2010. "American Options Pricing under Stochastic Volatility: Approximation of the Early Exercise Surface and Monte Carlo Simulations," Papers 1009.5495, arXiv.org.

  52. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2005. "Heterogeneous Expectations and Speculative Behaviour in a Dynamic Multi-Asset Framework," Research Paper Series 166, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Philip A. Stork & Milan Vidojevic & Remco C. J. Zwinkels, 2021. "Behavioral heterogeneity in return expectations across equity style portfolios," International Review of Finance, International Review of Finance Ltd., vol. 21(4), pages 1225-1250, December.
    2. Noemi Schmitt & Frank Westerhoff, 2017. "Heterogeneity, spontaneous coordination and extreme events within large-scale and small-scale agent-based financial market models," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1041-1070, November.
    3. Schmitt, Noemi & Westerhoff, Frank, 2017. "On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations," BERG Working Paper Series 119, Bamberg University, Bamberg Economic Research Group.
    4. Anufriev, M. & Dindo, P.D.E., 2007. "Wealth Selection in a Financial Market with Heterogeneous Agents," CeNDEF Working Papers 07-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    5. Serena Sordi & Marwil J. Dávila-Fernández, 2020. "Investment behaviour and “bull & bear” dynamics: modelling real and stock market interactions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 867-897, October.
    6. Ling-Yun He, 2010. "Is Price Behavior Scaling and Multiscaling in a Dealer Market? Perspectives from Multi-Agent Based Experiments," Computational Economics, Springer;Society for Computational Economics, vol. 36(3), pages 263-282, October.
    7. Biondo, Alessio Emanuele & Mazzarino, Laura & Pluchino, Alessandro, 2024. "Trading strategies and Financial Performances: A simulation approach," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    8. Grosche, Stephanie & Heckelei, Thomas, 2014. "Price dynamics and financialization effects in corn futures markets with heterogeneous traders," Discussion Papers 172077, University of Bonn, Institute for Food and Resource Economics.
    9. Marco D'Errico & Gulnur Muradoglu & Silvana Stefani & Giovanni Zambruno, 2014. "Opinion Dynamics and Price Formation: a Nonlinear Network Model," Papers 1408.0308, arXiv.org.
    10. Blaurock, Ivonne & Schmitt, Noemi & Westerhoff, Frank, 2018. "Market entry waves and volatility outbursts in stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 19-37.
    11. Anufriev, M. & Bao, T. & Tuinstra, J., 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," CeNDEF Working Papers 15-09, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    12. Guillaume Coqueret & Bertrand Tavin, 2019. "Procedural rationality, asset heterogeneity and market selection," Post-Print hal-02312310, HAL.
    13. Lu, Jingen & Chen, Xiaohong & Liu, Xiaoxing, 2018. "Stock market information flow: Explanations from market status and information-related behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 837-848.
    14. Martin, Carolin & Schmitt, Noemi & Westerhoff, Frank, 2019. "Housing markets, expectation formation and interest rates," BERG Working Paper Series 142, Bamberg University, Bamberg Economic Research Group.
    15. Dieci, Roberto & Westerhoff, Frank, 2011. "On the inherent instability of international financial markets: Natural nonlinear interactions between stock and foreign exchange markets," BERG Working Paper Series 79, Bamberg University, Bamberg Economic Research Group.
    16. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02312186, HAL.
    17. Sushko, Iryna & Tramontana, Fabio & Westerhoff, Frank & Avrutin, Viktor, 2015. "Symmetry breaking in a bull and bear financial market model," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 57-72.
    18. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
    19. Mikhail Anufriev & Pietro Dindo, 2006. "Equilibrium Return and Agents’ Survival in a Multiperiod Asset Market: Analytic Support of a Simulation Model," Lecture Notes in Economics and Mathematical Systems, in: Charlotte Bruun (ed.), Advances in Artificial Economics, chapter 19, pages 269-282, Springer.
    20. Linz, Susan J. & Semykina, Anastasia, 2010. "Perceptions of economic insecurity: Evidence from Russia," Economic Systems, Elsevier, vol. 34(4), pages 357-385, December.
    21. Torsten Trimborn & Lorenzo Pareschi & Martin Frank, 2017. "Portfolio Optimization and Model Predictive Control: A Kinetic Approach," Papers 1711.03291, arXiv.org, revised Feb 2019.
    22. Sordi, Serena & Vercelli, Alessandro, 2012. "Heterogeneous expectations and strong uncertainty in a Minskyian model of financial fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 544-557.
    23. Lei Shi, 2010. "Portfolio Analysis and Equilibrium Asset Pricing with Heterogeneous Beliefs," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2010, January-A.
    24. Huang, Weihong & Chen, Zhenxi, 2015. "Heterogeneous agents in multi-markets: A coupled map lattices approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 108(C), pages 3-15.
    25. Heba M. Ezzat, 2019. "Disposition effect and multi-asset market dynamics," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 11(2), pages 144-164, June.
    26. Marsili, Matteo & Raffaelli, Giacomo & Ponsot, Benedicte, 2009. "Dynamic instability in generic model of multi-assets markets," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1170-1181, May.
    27. Zhenxi Chen, 2020. "Regional financial market bloc and spillover of the financial crisis: A heterogeneous agents approach," Manchester School, University of Manchester, vol. 88(2), pages 262-281, March.
    28. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 991-1020, April.
    29. Simon Cramer & Torsten Trimborn, 2019. "Stylized Facts and Agent-Based Modeling," Papers 1912.02684, arXiv.org.
    30. Gerunov, Anton, 2014. "Критичен Преглед На Основните Подходи За Моделиране На Икономическите Очаквания [A Critical Review of Major Approaches for Modeling Economic Expectations]," MPRA Paper 68797, University Library of Munich, Germany.
    31. Guillaume Coqueret, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02000726, HAL.
    32. Schmitt, Noemi & Westerhoff, Frank, 2013. "Speculative behavior and the dynamics of interacting stock markets," BERG Working Paper Series 90, Bamberg University, Bamberg Economic Research Group.
    33. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading Volume and Market Efficiency: An Agent Based Model with Heterogenous Knowledge about Fundamentals," Working Papers halshs-00997573, HAL.
    34. Zhenxi Chen & Weihong Huang & Huanhuan Zheng, 2018. "Estimating heterogeneous agents behavior in a two-market financial system," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 491-510, October.
    35. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    36. Mikhail Anufriev & Pietro Dindo, 2007. "Wealth-driven Selection in a Financial Market with Heterogeneous Agents," LEM Papers Series 2007/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    37. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "Do heterogeneous beliefs diversify market risk?," The European Journal of Finance, Taylor & Francis Journals, vol. 17(3), pages 241-258.
    38. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    39. Naimzada, Ahmad K. & Ricchiuti, Giorgio, 2009. "Dynamic effects of increasing heterogeneity in financial markets," Chaos, Solitons & Fractals, Elsevier, vol. 41(4), pages 1764-1772.
    40. Ahmad Naimzada & Giorgio Ricchiuti, 2006. "Heterogeneous Fundamentalists and Imitative Processes," Working Papers 104, University of Milano-Bicocca, Department of Economics, revised Nov 2006.
    41. Songtao Wu & Jianmin He & Chao Wang, 2017. "Effects of Common Factors on Dynamics of Stocks Traded by Investors with Limited Information Capacity," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-15, September.
    42. Dieci, Roberto & Westerhoff, Frank, 2016. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear economic dynamics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 21-44.
    43. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    44. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    45. Mignot, Sarah & Tramontana, Fabio & Westerhoff, Frank H., 2021. "Speculative asset price dynamics and wealth taxes," BERG Working Paper Series 169, Bamberg University, Bamberg Economic Research Group.
    46. Thorsten Hens & Marc Oliver Rieger, 2014. "Can utility optimization explain the demand for structured investment products?," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 673-681, April.
    47. Wieland, Volker & Wolters, Maik H., 2010. "The diversity of forecasts from macroeconomic models of the U.S. economy," CFS Working Paper Series 2010/08, Center for Financial Studies (CFS).
    48. Carl Chiarella & Roberto Dieci & Tony He, 2006. "Aggregation of Heterogeneous Beliefs and Asset Pricing: A Mean-Variance Analysis," Computing in Economics and Finance 2006 108, Society for Computational Economics.
    49. Antoine Kopp & Rebecca Westphal & Didier Sornette, 2022. "Agent-based model generating stylized facts of fixed income markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(4), pages 947-992, October.
    50. Hommes, Cars & Vroegop, Joris, 2019. "Contagion between asset markets: A two market heterogeneous agents model with destabilising spillover effects," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 314-333.
    51. Weihong HUANG & Zhenxi CHEN, 2012. "Heterogeneous Agents in Multi-markets: A Coupled Map Lattices Approach," Economic Growth Centre Working Paper Series 1211, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    52. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    53. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    54. Jörn Dermietzel, 2008. "The Heterogeneous Agents Approach to Financial Markets – Development and Milestones," International Handbooks on Information Systems, in: Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), Handbook on Information Technology in Finance, chapter 19, pages 443-464, Springer.
    55. Roberto Dieci & Xue-Zhong He, 2021. "Cross-section instability in financial markets: impatience, extrapolation, and switching," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 727-754, December.
    56. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2015, January-A.
    57. Schmidt, Sebastian & Wieland, Volker, 2012. "The new keynesian approach to dynamic general equilibrium modeling: Models, methods, and macroeconomic policy evaluation," IMFS Working Paper Series 52, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    58. Carl Chiarella & Xue-Zhong He & Roberto Dieci & University of Technology Sydney, 2006. "A Dynamic Heterogeneous Beliefs CAPM," Computing in Economics and Finance 2006 181, Society for Computational Economics.
    59. Carl Chiarella & Xue-Zhong He & Paolo Pellizzari, 2009. "A Dynamic Analysis of the Microstructure of Moving Average Rules in a Double Auction Market," Research Paper Series 251, Quantitative Finance Research Centre, University of Technology, Sydney.
    60. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank, 2018. "Steady states, stability and bifurcations in multi-asset market models," BERG Working Paper Series 136, Bamberg University, Bamberg Economic Research Group.
    61. Coqueret, Guillaume, 2017. "Empirical properties of a heterogeneous agent model in large dimensions," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 180-201.
    62. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2020. "Robust Mathematical Formulation And Probabilistic Description Of Agent-Based Computational Economic Market Models," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 23(06), pages 1-41, September.
    63. Hanchao Liu, 2020. "When one stock share is a biological individual: a stylized simulation of the population dynamics in an order-driven market," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 373-408, June.
    64. Kun Xing & Honggang Li, 2024. "Market Ecology: Trading Strategies and Market Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3333-3351, December.
    65. Guillaume Coqueret, 2016. "Empirical properties of a heterogeneous agent model in large dimensions," Post-Print hal-02088097, HAL.
    66. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank H., 2018. "Interactions between stock, bond and housing markets," BERG Working Paper Series 133, Bamberg University, Bamberg Economic Research Group.
    67. Torsten Trimborn & Philipp Otte & Simon Cramer & Max Beikirch & Emma Pabich & Martin Frank, 2018. "SABCEMM-A Simulator for Agent-Based Computational Economic Market Models," Papers 1801.01811, arXiv.org, revised Oct 2018.
    68. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank H., 2022. "Boom-bust cycles and asset market participation waves: Momentum, value, risk and herding," BERG Working Paper Series 177, Bamberg University, Bamberg Economic Research Group.
    69. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
    70. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
    71. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2009. "A Framework for CAPM with Heterogenous Beliefs," Research Paper Series 254, Quantitative Finance Research Centre, University of Technology, Sydney.
    72. Songtao Wu & Jianmin He & Shouwei Li & Chao Wang, 2018. "Network formation in a multi-asset artificial stock market," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 91(4), pages 1-10, April.
    73. Coqueret, Guillaume & Tavin, Bertrand, 2019. "Procedural rationality, asset heterogeneity and market selection," Journal of Mathematical Economics, Elsevier, vol. 82(C), pages 125-149.
    74. Vivien Lespagnol & Juliette Rouchier, 2015. "What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 105-117, Springer.
    75. Menkhoff, Lukas & Rebitzky, Rafael R. & Schröder, Michael, 2009. "Heterogeneity in exchange rate expectations: Evidence on the chartist-fundamentalist approach," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 241-252, May.
    76. Oldham, Matthew, 2020. "Quantifying the concerns of Dimon and Buffett with data and computation," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    77. Carl Chiarella & Xue-Zhong He & Remco C.J. Zwinkels, 2014. "Heterogeneous Expectations in Asset Pricing: Empirical Evidence from the S&P500," Research Paper Series 344, Quantitative Finance Research Centre, University of Technology, Sydney.
    78. Volker Wieland, 2012. "Model comparison and robustness: a proposal for policy analysis after the financial crisis," Chapters, in: Robert M. Solow & Jean-Philippe Touffut (ed.), What’s Right with Macroeconomics?, chapter 2, pages 33-67, Edward Elgar Publishing.
    79. Torsten Trimborn & Philipp Otte & Simon Cramer & Maximilian Beikirch & Emma Pabich & Martin Frank, 2020. "SABCEMM: A Simulator for Agent-Based Computational Economic Market Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 707-744, February.
    80. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.
    81. Feldman, Todd, 2011. "Leverage regulation: An agent-based simulation," Journal of Economics and Business, Elsevier, vol. 63(5), pages 431-440, September.
    82. Dieci, Roberto & Westerhoff, Frank, 2010. "Heterogeneous speculators, endogenous fluctuations and interacting markets: A model of stock prices and exchange rates," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 743-764, April.
    83. Fu, Jie & Zhang, Xiaoqi & Zhou, Wenyuan & Lyu, Yang, 2024. "A continuous heterogeneous agent model for multi-asset pricing and portfolio construction under market matching friction," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 267-283.
    84. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2019. "Robust Mathematical Formulation and Probabilistic Description of Agent-Based Computational Economic Market Models," Papers 1904.04951, arXiv.org, revised Mar 2021.
    85. Baur, Dirk G. & Glover, Kristoffer J., 2014. "Heterogeneous expectations in the gold market: Specification and estimation," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 116-133.
    86. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.
    87. Tai, Chung-Ching & Chen, Shu-Heng & Yang, Lee-Xieng, 2018. "Cognitive ability and earnings performance: Evidence from double auction market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 409-440.

  53. Carl Chiarella & Hing Hung & Thuy-Duong To, 2005. "The Volatility Structure of the Fixed Income Market under the HJM Framework: A Nonlinear Filtering Approach," Research Paper Series 151, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Giuliano De Rossi, 2004. "Maximum likelihood estimation of the Cox-Ingersoll-Ross model using particle filters," Computing in Economics and Finance 2004 302, Society for Computational Economics.
    2. Baaquie, Belal E. & Pan, Tang, 2011. "Simulation of coupon bond European and barrier options in quantum finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 263-289.
    3. Robert J. Elliott & John W. Lau & Hong Miao & Tak Kuen Siu, 2012. "Viterbi-Based Estimation for Markov Switching GARCH Model," Applied Mathematical Finance, Taylor & Francis Journals, vol. 19(3), pages 219-231, August.
    4. Antje Berndt & Peter Ritchken & Zhiqiang Sun, 2010. "On Correlation and Default Clustering in Credit Markets," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2680-2729, July.
    5. J. C. Jimenez & T. Ozaki, 2006. "An Approximate Innovation Method For The Estimation Of Diffusion Processes From Discrete Data," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(1), pages 77-97, January.
    6. J. Jimenez & R. Biscay & T. Ozaki, 2005. "Inference Methods for Discretely Observed Continuous-Time Stochastic Volatility Models: A Commented Overview," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(2), pages 109-141, June.
    7. Falini, Jury, 2010. "Pricing caps with HJM models: The benefits of humped volatility," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1358-1367, December.
    8. Isao Shoji & Masahiro Nozawa, 2020. "A geometric analysis of nonlinear dynamics and its application to financial time series," Papers 2012.11825, arXiv.org.
    9. Jury Falini, 2009. "Pricing caps with HJM models: the benefits of humped volatility," Department of Economics University of Siena 563, Department of Economics, University of Siena.
    10. Arenas, Zochil González & Jimenez, Juan Carlos & Lozada-Chang, Li-Vang & Santana, Roberto, 2021. "Estimation of distribution algorithms for the computation of innovation estimators of diffusion processes," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 187(C), pages 449-467.

  54. Carl Chiarella & Thuy-Duong To, 2005. "The Multifactor Nature of the Volatility of the Eurodollar Futures Market," Research Paper Series 150, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. J. Jimenez & R. Biscay & T. Ozaki, 2005. "Inference Methods for Discretely Observed Continuous-Time Stochastic Volatility Models: A Commented Overview," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(2), pages 109-141, June.

  55. Andrew Ziogas & Carl Chiarella, 2004. "Pricing American Options on Jump-Diffusion Processes using Fourier-Hermite Series Expansions," Computing in Economics and Finance 2004 177, Society for Computational Economics.

    Cited by:

    1. Jean-Guy Simonato, 2011. "Johnson binomial trees," Quantitative Finance, Taylor & Francis Journals, vol. 11(8), pages 1165-1176.
    2. Simon Scheidegger & Adrien Treccani, 2021. "Pricing American Options under High-Dimensional Models with Recursive Adaptive Sparse Expectations [Telling from Discrete Data Whether the Underlying Continuous-Time Model Is a Diffusion]," Journal of Financial Econometrics, Oxford University Press, vol. 19(2), pages 258-290.
    3. Antonio Cosma & Stefano Galluccio & Paola Pederzoli & Olivier Scaillet, 2016. "Early exercise decision in American options with dividends, stochastic volatility and jumps," Papers 1612.03031, arXiv.org.
    4. Antonio Cosma & Stefano Galluccio & Paola Pederzoli & Olivier Scaillet, 2015. "Valuing American options using fast recursive projections," DEM Discussion Paper Series 15-20, Department of Economics at the University of Luxembourg.
    5. Kein Joe Lau & Yong Kheng Goh & An Chow Lai, 2019. "An empirical study on asymmetric jump diffusion for option and annuity pricing," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-18, May.

  56. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "Statistical Properties of a Heterogeneous Asset Price Model with Time-Varying Second Moment," Research Paper Series 142, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Park, Beum-Jo, 2014. "Time-varying, heterogeneous risk aversion and dynamics of asset prices among boundedly rational agents," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 150-159.
    2. Giovanni Campisi & Silvia Muzzioli, 2020. "Fundamentalists heterogeneity and the role of the sentiment indicator," Department of Economics 0167, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".

  57. Carl Chiarella & Chih-ying Hsiao, 2004. "Stratetic Asset Allocation with an Arbitrage-Free Bond Market using Dynamic Programming," Computing in Economics and Finance 2004 73, Society for Computational Economics.

    Cited by:

    1. Willi Semmler, 2006. "Asset Prices, Booms and Recessions," Springer Books, Springer, edition 0, number 978-3-540-24696-1, March.

  58. Carl Chiarella & Roberto Dieci, 2004. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Computing in Economics and Finance 2004 261, Society for Computational Economics.

    Cited by:

    1. Anufriev, M. & Dindo, P.D.E., 2007. "Wealth Selection in a Financial Market with Heterogeneous Agents," CeNDEF Working Papers 07-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    2. De Grauwe, Paul & Gerba, Eddie, 2018. "The role of cognitive limitations and heterogeneous expectations for aggregate production and credit cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 206-236.
    3. Palczewski, Jan & Schenk-Hoppé, Klaus Reiner & Wang, Tongya, 2016. "Itchy feet vs cool heads: Flow of funds in an agent-based financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 63(C), pages 53-68.
    4. Mikhail Anufriev, 2008. "Wealth-driven competition in a speculative financial market: examples with maximizing agents," Quantitative Finance, Taylor & Francis Journals, vol. 8(4), pages 363-380.
    5. Indra Arifin Djashan, 2020. "The Effect of Firm Size, Profitability, Audit Committee, and Other Factors to Firm Value," GATR Journals afr186, Global Academy of Training and Research (GATR) Enterprise.
    6. Enrico De Giorgi, "undated". "Evolutionary Portfolio Selection with Liquidity Shocks," IEW - Working Papers 185, Institute for Empirical Research in Economics - University of Zurich.
    7. Daniele Giachini, 2018. "Rationality and Asset Prices under Belief Heterogeneity," LEM Papers Series 2018/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Yeh, Chia-Hsuan, 2008. "The effects of intelligence on price discovery and market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 613-625, December.
    9. Mikhail Anufriev & Giulio Bottazzi, 2006. "Behavioral Consistent Market Equilibria under Procedural Rationality," Computing in Economics and Finance 2006 225, Society for Computational Economics.
    10. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2018. "Simulation of Stylized Facts in Agent-Based Computational Economic Market Models," Papers 1812.02726, arXiv.org, revised Nov 2019.
    11. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental, pessimistic and overconfident traders: a piecewise-linear maps approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 707-726, December.
    12. Peter Flaschel & Matthieu Charpe & Giorgos Galanis & Christian R. Proaño & Roberto Veneziani, 2017. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," IMK Working Paper 186-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    13. Anufriev, M. & Bottazzi, G., 2009. "Market Equilibria under Procedural Rationality," CeNDEF Working Papers 09-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    14. Jaqueson K. Galimberti & Nicolas Suhadolnik & Sergio Silva, 2017. "Cowboying Stock Market Herds with Robot Traders," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 393-423, October.
    15. Sunyoung Lee & Keun Lee, 2021. "3% rules the market: herding behavior of a group of investors, asset market volatility, and return to the group in an agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(2), pages 359-380, April.
    16. Dindo, Pietro & Staccioli, Jacopo, 2018. "Asset prices and wealth dynamics in a financial market with random demand shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 187-210.
    17. Guilmi, Corrado Di & Galanis, Giorgos, 2020. "Convergence and divergence in dynamic voting with inequality," CRETA Online Discussion Paper Series 61, Centre for Research in Economic Theory and its Applications CRETA.
    18. Mikhail Anufriev & Pietro Dindo, 2006. "Equilibrium Return and Agents’ Survival in a Multiperiod Asset Market: Analytic Support of a Simulation Model," Lecture Notes in Economics and Mathematical Systems, in: Charlotte Bruun (ed.), Advances in Artificial Economics, chapter 19, pages 269-282, Springer.
    19. Chauveau, Th. & Subbotin, A., 2013. "Price dynamics in a market with heterogeneous investment horizons and boundedly rational traders," Journal of Economic Dynamics and Control, Elsevier, vol. 37(5), pages 1040-1065.
    20. Rebecca Westphal & Didier Sornette, 2020. "How market intervention can prevent bubbles and crashes," Swiss Finance Institute Research Paper Series 20-74, Swiss Finance Institute.
    21. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    22. Andrew Foster & Natasha Kirby, 2011. "Analysis of a Heterogeneous Trader Model for Asset Price Dynamics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2011, pages 1-12, October.
    23. Anufriev, M. & Bottazzi, G., 2006. "Price and Wealth Dynamics in a Speculative Market with Generic Procedurally Rational Traders," CeNDEF Working Papers 06-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    24. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    25. Dai, Darong, 2011. "Wealth Martingale and Neighborhood Turnpike Property in Dynamically Complete Market with Heterogeneous Investors," MPRA Paper 46416, University Library of Munich, Germany.
    26. Bihary, Zsolt & Víg, Attila András, 2020. "Heterogén kereskedési stratégiák hatása a piaci árfolyamokra [The effect of heterogeneous commercial strategies on market exchange rates]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 688-707.
    27. Carl Chiarella & Giulia Iori, 2005. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Research Paper Series 152, Quantitative Finance Research Centre, University of Technology, Sydney.
    28. Rebecca Westphal & Didier Sornette, 2024. "How Market Intervention can Prevent Bubbles and Crashes: An Agent Based Modelling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1315-1356, September.
    29. Huang, Weihong & Chen, Zhenxi, 2015. "Heterogeneous agents in multi-markets: A coupled map lattices approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 108(C), pages 3-15.
    30. Giorgos Galanis & Giorgio Ricchiuti & Ben Tippet, 2023. "The Global Political Economy of a Green Transition," Working Papers 113, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    31. Anufriev Mikhail & Bottazzi Giulio, 2012. "Asset Pricing with Heterogeneous Investment Horizons," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-38, October.
    32. Kozhan, Roman & Salmon, Mark, 2009. "Uncertainty aversion in a heterogeneous agent model of foreign exchange rate formation," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1106-1122, May.
    33. Jiahua Wang & Hongliang Zhu & Dongxin Li, 2018. "Price Dynamics in an Order-Driven Market with Bayesian Learning," Complexity, Hindawi, vol. 2018, pages 1-15, November.
    34. Roy Cerqueti & Giulia Rotundo, 2015. "A review of aggregation techniques for agent-based models: understanding the presence of long-term memory," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1693-1717, July.
    35. Simon Cramer & Torsten Trimborn, 2019. "Stylized Facts and Agent-Based Modeling," Papers 1912.02684, arXiv.org.
    36. Carl Chiarella & Roberto Dieci, 2004. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Computing in Economics and Finance 2004 261, Society for Computational Economics.
    37. Mikhail Anufriev & Pietro Dindo, 2007. "Wealth-driven Selection in a Financial Market with Heterogeneous Agents," LEM Papers Series 2007/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    38. Chia-Hsuan Yeh & Chun-Yi Yang, 2013. "Do price limits hurt the market?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 125-153, April.
    39. Bose, Subir & Ladley, Daniel & Li, Xin, 2020. "The role of hormones in financial markets," International Review of Financial Analysis, Elsevier, vol. 67(C).
    40. David Goldbaum, 2016. "Divergent behavior in markets with idiosyncratic private information," Working Paper Series 34, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    41. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    42. Adam Majewski & Stefano Ciliberti & Jean-Philippe Bouchaud, 2018. "Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model," Papers 1807.11751, arXiv.org.
    43. Palczewski, Jan & Schenk-Hoppé, Klaus Reiner, 2010. "From discrete to continuous time evolutionary finance models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 913-931, May.
    44. Mertens, Thomas M. & Judd, Kenneth L., 2018. "Solving an incomplete markets model with a large cross-section of agents," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 349-368.
    45. Yong Shi & Bo Li & Guangle Du, 2021. "Pyramid scheme in stock market: a kind of financial market simulation," Papers 2102.02179, arXiv.org, revised Feb 2021.
    46. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    47. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    48. Pietro Dindo & Jacopo Staccioli, 2017. "Asset prices and wealth dynamics in a financial market with endogenous liquidation risk," Working Papers 2017:31, Department of Economics, University of Venice "Ca' Foscari".
    49. Mignot, Sarah & Tramontana, Fabio & Westerhoff, Frank H., 2021. "Speculative asset price dynamics and wealth taxes," BERG Working Paper Series 169, Bamberg University, Bamberg Economic Research Group.
    50. Serena Brianzoni & Cristiana Mammana & Elisabetta Michetti, 2010. "Updating Wealth in an Asset Pricing Model with Heterogeneous Agents," Discrete Dynamics in Nature and Society, Hindawi, vol. 2010, pages 1-27, November.
    51. Guo, Bin & Zhang, Wei & Chen, Shu-Heng & Zhang, Yongjie, 2015. "The optimal pricing of a market maker in a heterogeneous agent economy," Finance Research Letters, Elsevier, vol. 14(C), pages 178-187.
    52. Hai-Chuan Xu & Wei Zhang & Xiong Xiong & Wei-Xing Zhou, 2014. "Wealth Share Analysis with “Fundamentalist/Chartist” Heterogeneous Agents," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-11, May.
    53. Егорова Людмила Геннадьевна, 2014. "Эффективность Торговых Стратегий Мелких Трейдеров," Проблемы управления, CyberLeninka;Общество с ограниченной ответственностью "СенСиДат-Контрол", issue 5, pages 34-41.
    54. Majewski, Adam A. & Ciliberti, Stefano & Bouchaud, Jean-Philippe, 2020. "Co-existence of trend and value in financial markets: Estimating an extended Chiarella model," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    55. Weihong HUANG & Zhenxi CHEN, 2012. "Heterogeneous Agents in Multi-markets: A Coupled Map Lattices Approach," Economic Growth Centre Working Paper Series 1211, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    56. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    57. David Goldbaum, 2013. "Learning and Adaptation as a Source of Market Failure," Working Paper Series 14, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    58. Marcin Hernes & Jadwiga Sobieska-Karpińska, 2016. "Application of the consensus method in a multiagent financial decision support system," Information Systems and e-Business Management, Springer, vol. 14(1), pages 167-185, February.
    59. Zsolt Bihary & Attila Andr'as V'ig, 2019. "Analytic solutions in a continuous-time financial market model," Papers 1902.09999, arXiv.org.
    60. Rebecca Westphal & Didier Sornette, 2019. "Market Impact and Performance of Arbitrageurs of Financial Bubbles in An Agent-Based Model," Swiss Finance Institute Research Paper Series 19-29, Swiss Finance Institute.
    61. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2020. "Robust Mathematical Formulation And Probabilistic Description Of Agent-Based Computational Economic Market Models," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 23(06), pages 1-41, September.
    62. Torsten Trimborn & Philipp Otte & Simon Cramer & Max Beikirch & Emma Pabich & Martin Frank, 2018. "SABCEMM-A Simulator for Agent-Based Computational Economic Market Models," Papers 1801.01811, arXiv.org, revised Oct 2018.
    63. Yeh, Chia-Hsuan & Yang, Chun-Yi, 2010. "Examining the effectiveness of price limits in an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2089-2108, October.
    64. Luca Guerrini & Akio Matsumoto & Ferenc Szidarovszky, 2018. "A heterogeneous agent model of asset price dynamics with two time delays," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 379-397, November.
    65. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2018. "A laboratory experiment on the heuristic switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 21-42.
    66. Franke, Reiner, 2009. "A prototype model of speculative dynamics with position-based trading," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1134-1158, May.
    67. Saiki, Y. & Chian, A.C.L. & Yoshida, H., 2011. "Economic intermittency in a two-country model of business cycles coupled by investment," Chaos, Solitons & Fractals, Elsevier, vol. 44(6), pages 418-428.
    68. Torsten Trimborn & Philipp Otte & Simon Cramer & Maximilian Beikirch & Emma Pabich & Martin Frank, 2020. "SABCEMM: A Simulator for Agent-Based Computational Economic Market Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 707-744, February.
    69. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    70. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental and pessimistic traders: a piecewise-linear maps approach," Department of Economics 0186, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    71. Westphal, Rebecca & Sornette, Didier, 2020. "Market impact and performance of arbitrageurs of financial bubbles in an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 1-23.
    72. Liudmila G. Egorova, 2014. "The Effectiveness Of Different Trading Strategies For Price-Takers," HSE Working papers WP BRP 29/FE/2014, National Research University Higher School of Economics.
    73. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.
    74. Darong Dai, 2014. "The Long-Run Behavior of Consumption and Wealth Dynamics in Complete Financial Market with Heterogeneous Investors," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-16, July.
    75. Darong Dai, 2013. "Wealth Martingale and Neighborhood Turnpike Property In Dynamically Complete Market With Heterogeneous Investors," Economic Research Guardian, Mutascu Publishing, vol. 3(2), pages 86-110, December.
    76. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2019. "Robust Mathematical Formulation and Probabilistic Description of Agent-Based Computational Economic Market Models," Papers 1904.04951, arXiv.org, revised Mar 2021.
    77. Christian Lax & Torsten Trimborn, 2019. "From Disequilibrium Markets to Equilibrium," Papers 1912.09679, arXiv.org.
    78. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.
    79. Tai, Chung-Ching & Chen, Shu-Heng & Yang, Lee-Xieng, 2018. "Cognitive ability and earnings performance: Evidence from double auction market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 409-440.

  59. Toichiro Asada & Pu Chen & Carl Chiarella & Peter Flaschel, 2004. "Keynesian Dynamics and the Wage-Price Spiral: A Baseline Disequilibrium Model," Working Paper Series 139, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Chen, Pu & Hsiao, Chih-Ying, 2008. "What happens to Japan if China catches a cold?: A causal analysis of Chinese growth and Japanese growth," Japan and the World Economy, Elsevier, vol. 20(4), pages 622-638, December.
    2. Hiroki Murakami, 2019. "A note on the “unique” business cycle in the Keynesian theory," Metroeconomica, Wiley Blackwell, vol. 70(3), pages 384-404, July.
    3. Ogawa, Shogo, 2020. "Monetary Growth with Disequilibrium: a Non-Walrasian baseline model," MPRA Paper 101236, University Library of Munich, Germany.
    4. Christian R. Proaño, 2011. "Gradual wage-price adjustments, labor market frictions and monetary policy rules," Working Papers 1112, New School for Social Research, Department of Economics.
    5. Piero Ferri & AnnaMaria Variato, 2010. "Financial Fragility, the Minskian Triad, and Economic Dynamics," International Journal of Political Economy, Taylor & Francis Journals, vol. 39(2), pages 70-82.
    6. K. Vela Velupillai, 2004. "A Disequilibrium Macrodynamic Model of Fluctuations," Working Papers 0081, National University of Ireland Galway, Department of Economics, revised 2004.
    7. Asada, Toichiro, 2006. "Stabilization policy in a Keynes-Goodwin model with debt accumulation," Structural Change and Economic Dynamics, Elsevier, vol. 17(4), pages 466-485, December.
    8. Jose Barrales-Ruiz, Ivan Mendieta-Muñoz, Codrina Rada, Daniele Tavani, Rudiger von Arnim, 2021. "The distributive cycle: Evidence and current debates," Working Paper Series, Department of Economics, University of Utah 2021-01, University of Utah, Department of Economics.
    9. Malikane, Christopher & Mokoka, Tshepo, 2012. "Monetary policy credibility: A Phillips curve view," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(3), pages 266-271.
    10. Jan Toporowski, 2013. "The Elgar Companion to Hyman Minsky," Review of Political Economy, Taylor & Francis Journals, vol. 25(1), pages 175-177, January.
    11. Ryunosuke Sonoda, 2021. "The stabilizing effect of fiscal policies on the dynamics of effective demand and income distribution in Japan," Evolutionary and Institutional Economics Review, Springer, vol. 18(2), pages 385-405, September.
    12. Toichiro Asada & Pu Chen & Carl Chiarella & Peter Flaschel, 2004. "Keynesian Dynamics and the Wage Price Spiral. A Baseline Disequilibrium Approach," Macroeconomics 0409001, University Library of Munich, Germany.
    13. Jo, Hoje & Song, Moon H. & Tsang, Albert, 2016. "Corporate social responsibility and stakeholder governance around the world," Global Finance Journal, Elsevier, vol. 29(C), pages 42-69.
    14. Bernd Hayo & Britta Niehof, 2014. "Analysis of Monetary Policy Responses After Financial Market Crises in a Continuous Time New Keynesian Model," MAGKS Papers on Economics 201421, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    15. Dag Kolsrud & Ragnar Nymoen, 2014. "Macroeconomic Stability or Cycles? The Role of the Wage-Price Spiral," Australian Economic Papers, Wiley Blackwell, vol. 53(1-2), pages 41-68, June.
    16. Hiroshi Nishi & Kazuhiro Okuma, 2023. "Fiscal policy and social infrastructure provision under alternative growth and distribution regimes," Evolutionary and Institutional Economics Review, Springer, vol. 20(2), pages 259-286, September.
    17. Asada, Toichiro & Chen, Pu & Chiarella, Carl & Flaschel, Peter, 2006. "Keynesian dynamics and the wage-price spiral: A baseline disequilibrium model," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 90-130, March.
    18. Piero Ferri & Anna Maria Variato, 2010. "Income Distribution and the Interaction between Cycles and," Chapters, in: Neri Salvadori (ed.), Institutional and Social Dynamics of Growth and Distribution, chapter 4, Edward Elgar Publishing.
    19. Ichiro Takahashi, 2021. "An Artificial Wicksell—Keynes Macroeconomy," Springer Books, Springer, number 978-981-16-6839-5, March.
    20. Murakami, Hiroki & Asada, Toichiro, 2018. "Inflation-deflation expectations and economic stability in a Kaleckian system," Journal of Economic Dynamics and Control, Elsevier, vol. 92(C), pages 183-201.
    21. Bernd Hayo & Britta Niehof, 2013. "Studying International Spillovers in a New Keynesian Continuous Time Framework with Financial Markets," MAGKS Papers on Economics 201342, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    22. Piero Ferri, 2010. "Growth Cycles and the Financial Instability Hypothesis (FIH)," Chapters, in: Dimitri B. Papadimitriou & L. Randall Wray (ed.), The Elgar Companion to Hyman Minsky, chapter 11, Edward Elgar Publishing.
    23. Malikane, Christopher, 2012. "The Microfoundations of the Keynesian Wage-Price Spiral," MPRA Paper 42923, University Library of Munich, Germany, revised 2012.
    24. Piero Ferri, 2006. "Fluttuazioni endogene, deflazione da debiti e instabilità finanziaria," Moneta e Credito, Economia civile, vol. 59(234), pages 129-149.
    25. Datta, Soumya, 2013. "Robustness and Stability of Limit Cycles in a Class of Planar Dynamical Systems," MPRA Paper 50814, University Library of Munich, Germany.
    26. Ryunosuke Sonoda, 2017. "Price and nominal wage Phillips curves and the dynamics of distribution in Japan," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(1), pages 28-44, January.
    27. Stéphane Hallegatte & Michael Ghil & Patrice Dumas & Jean Charles Hourcade, 2008. "Business Cycles, Bifurcations and Chaos in a Neo-Classical Model with Investment Dynamics," Post-Print halshs-00007196, HAL.
    28. Stockhammer, Engelbert, 2006. "Is the NAIRU theory a Monetarist, New Keynesian, Post Keynesian or a Marxist theory?," Department of Economics Working Paper Series 96, WU Vienna University of Economics and Business.
    29. Rudiger von Arnim & Jose Barrales, 2015. "Demand-driven Goodwin cycles with Kaldorian and Kaleckian features," Review of Keynesian Economics, Edward Elgar Publishing, vol. 3(3), pages 351-373, July.
    30. Skott, Peter, 2006. "Comments on "Integrated Keynesian disequilibrium dynamics"," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 131-135, March.
    31. Ichiro Takahashi, 2021. "Market Mechanism: Stabilizing or Destabilizing?," Springer Books, in: An Artificial Wicksell—Keynes Macroeconomy, chapter 0, pages 1-20, Springer.
    32. Jo, Hoje & Song, Moon H. & Tsang, Albert, 2015. "Corporate social responsibility and stakeholder governance around the world," Global Finance Journal, Elsevier, vol. 27(C), pages 18-45.
    33. Franke, Reiner & Flaschel, Peter & Proano, Christian R., 2006. "Wage-price dynamics and income distribution in a semi-structural Keynes-Goodwin model," Structural Change and Economic Dynamics, Elsevier, vol. 17(4), pages 452-465, December.
    34. Malikane, Christopher, 2024. "Traditional output dynamics: A structural perspective," Journal of Macroeconomics, Elsevier, vol. 82(C).
    35. Christopher Malikane, 2017. "The labour share and the dynamics of output," Applied Economics, Taylor & Francis Journals, vol. 49(37), pages 3741-3750, August.
    36. Christopher Malikane & Willi Semmler, 2008. "Asset Prices, Output And Monetary Policy In A Small Open Economy," Metroeconomica, Wiley Blackwell, vol. 59(4), pages 666-686, November.
    37. Malikane Christopher, 2023. "A Traditional Nominal Wage Phillips Curve: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 99(324), pages 108-121, March.
    38. Rodolphe Dos Santos Ferreira & Philippe Michel, 2013. "Keynes' Wage–Price Dynamics," Metroeconomica, Wiley Blackwell, vol. 64(1), pages 44-72, February.
    39. Pu Chen & Carl Chiarella & Peter Flaschel & Willi Semmler, 2006. "Keynesian Macrodynamics and the Phillips Curve. An Estimated Baseline Macromodel for the U.S. Economy," Working Paper Series 147, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    40. Ogawa, Shogo & Sasaki, Hiroaki, 2020. "Numerical Analysis of the Disequilibrium Monetary Growth Model: Secular Stagnation, Slow Convergence, and Cyclical Fluctuations," MPRA Paper 103845, University Library of Munich, Germany.
    41. Ekkehard Ernst & Peter Flaschel & Christian Proano & Willi Semmler, 2006. "Disequilibrium Macroeconomic Dynamics, Income Distribution and Wage-Price Phillips Curves," IMK Working Paper 04-2006, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    42. Asada, Toichiro & Zimka, Rudolf & Demetrian, Michal & Zimková, Emília, 2023. "A Mathematical Analysis of a MMT Type Coordinated Fiscal and Monetary Stabilization Policy in a Dynamic Keynesian Model," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 442-454.
    43. Christopher Malikane & Tshepo Mokoka, 2014. "The new Keynesian Phillips curve: endogeneity and misspecification," Applied Economics, Taylor & Francis Journals, vol. 46(25), pages 3082-3089, September.
    44. Wintoki, M. Babajide & Linck, James S. & Netter, Jeffry M., 2012. "Endogeneity and the dynamics of internal corporate governance," Journal of Financial Economics, Elsevier, vol. 105(3), pages 581-606.
    45. Hiroshi Nishi & Engelbert Stockhammer, 2020. "Cyclical dynamics in a Kaleckian model with demand and distribution regimes and endogenous natural output," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 256-288, February.
    46. Nishi, Hiroshi & Stockhammer, Engelbert, 2020. "Distribution shocks in a Kaleckian model with hysteresis and monetary policy," Economic Modelling, Elsevier, vol. 90(C), pages 465-479.
    47. C. Chiarella & P. Chen, 2004. "Keynesian Dynamics and the Wage-Price Spiral:Estimating a Baseline Disequilibrium Approach," Computing in Economics and Finance 2004 149, Society for Computational Economics.
    48. Hiroshi Nishi & Engelbert Stockhammer, 2019. "Demand and distribution regimes, output hysteresis, and cyclical dynamics in a Kaleckian model," Working Papers PKWP1902, Post Keynesian Economics Society (PKES).
    49. Ryunosuke Sonoda, 2014. "Price and Nominal Wage Phillips Curves and the Dynamics of Distribution in Japan," Discussion papers e-14-009, Graduate School of Economics Project Center, Kyoto University.
    50. Gaetano Lisi, 2021. "Can the AD-AS Model Explain the Presence and Persistence of the Underground Economy? Evidence from Italy," Economies, MDPI, vol. 9(4), pages 1-11, November.

  60. Carl Chiarella & Christina Nikitopoulos-Sklibosios, 2004. "A Class of Jump-Diffusion Bond Pricing Models within the HJM Framework," Research Paper Series 132, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Nicola Bruti-Liberati & Christina Nikitopoulos-Sklibosios & Eckhard Platen, 2010. "Real-world jump-diffusion term structure models," Quantitative Finance, Taylor & Francis Journals, vol. 10(1), pages 23-37.
    2. Jirô Akahori & Takahiro Tsuchiya, 2006. "What is the Natural Scale for a Lévy Process in Modelling Term Structure of Interest Rates?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 13(4), pages 299-313, December.
    3. Wang, Shin-Yun & Lin, Shih-Kuei, 2010. "The pricing and hedging of structured notes with systematic jump risk: An analysis of the USD knock-out reversed swap," International Review of Economics & Finance, Elsevier, vol. 19(1), pages 106-118, January.
    4. Carl Chiarella & Erik Schlögl & Christina Nikitopoulos-Sklibosios, 2004. "A Markovian Defaultable Term Structure Model with State Dependent Volatilities," Research Paper Series 135, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Nicola Bruti-Liberati & Eckhard Platen, 2005. "On the Strong Approximation of Jump-Diffusion Processes," Research Paper Series 157, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Carl Chiarella & Christina Nikitopoulos Sklibosios & Erik Schlogl, 2007. "A Control Variate Method for Monte Carlo Simulations of Heath-Jarrow-Morton Models with Jumps," Applied Mathematical Finance, Taylor & Francis Journals, vol. 14(5), pages 365-399.
    7. Carl Chiarella & Thuy-Duong Tô, 2006. "The Multifactor Nature of the Volatility of Futures Markets," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 163-183, May.
    8. Bruti-Liberati Nicola & Nikitopoulos-Sklibosios Christina & Platen Eckhard, 2006. "First Order Strong Approximations of Jump Diffusions," Monte Carlo Methods and Applications, De Gruyter, vol. 12(3), pages 191-209, October.
    9. Son-Nan Chen & Pao-Peng Hsu & Chang-Yi Li, 2016. "Pricing credit-risky bonds and spread options modelling credit-spread term structures with two-dimensional Markov-modulated jump-diffusion," Quantitative Finance, Taylor & Francis Journals, vol. 16(4), pages 573-592, April.
    10. Carl Chiarella & Christina Nikitopoulos-Sklibosios & Erik Schlogl, 2005. "A Control Variate Method for Monte Carlo Simulations of Heath-Jarrow-Morton with Jumps," Research Paper Series 167, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Samuel Chege Maina, 2011. "Credit Risk Modelling in Markovian HJM Term Structure Class of Models with Stochastic Volatility," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2011, January-A.
    12. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2010. "Markovian Defaultable HJM Term Structure Models with Unspanned Stochastic Volatility," Research Paper Series 283, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Nicola Bruti-Liberati & Christina Nikitopoulos-Sklibosios & Eckhard Platen, 2007. "Pricing under the Real-World Probability Measure for Jump-Diffusion Term Structure Models," Research Paper Series 198, Quantitative Finance Research Centre, University of Technology, Sydney.

  61. Carl Chiarella & Nadima El-Hassan & Adam Kucera, 2004. "Evaluation of Point Barrier Options in a Path Integral Framework Using Fourier-Hermite Expansions," Research Paper Series 126, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Zura Kakushadze, 2014. "Path Integral and Asset Pricing," Papers 1410.1611, arXiv.org, revised Aug 2016.
    2. Andrew Matacz, 2000. "Path dependent option pricing: the path integral partial averaging method," Science & Finance (CFM) working paper archive 500034, Science & Finance, Capital Fund Management.
    3. Andrew Matacz, 2000. "Path Dependent Option Pricing: the path integral partial averaging method," Papers cond-mat/0005319, arXiv.org.

  62. Carl Chiarella & Erik Schlögl & Christina Nikitopoulos-Sklibosios, 2004. "A Markovian Defaultable Term Structure Model with State Dependent Volatilities," Research Paper Series 135, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2011. "Credit Derivative Pricing with Stochastic Volatility Models," Research Paper Series 293, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Laura Morino & Wolfgang J. Ruggaldier, 2014. "On multicurve models for the term structure," Papers 1401.5431, arXiv.org.
    3. Son-Nan Chen & Pao-Peng Hsu & Chang-Yi Li, 2016. "Pricing credit-risky bonds and spread options modelling credit-spread term structures with two-dimensional Markov-modulated jump-diffusion," Quantitative Finance, Taylor & Francis Journals, vol. 16(4), pages 573-592, April.
    4. Nicola Bruti-Liberati & Christina Nikitopoulos-Sklibosios & Eckhard Platen & Erik Schlögl, 2009. "Alternative Defaultable Term Structure Models," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 16(1), pages 1-31, March.
    5. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2010. "Markovian Defaultable HJM Term Structure Models with Unspanned Stochastic Volatility," Research Paper Series 283, Quantitative Finance Research Centre, University of Technology, Sydney.

  63. Ram Bhar & Carl Chiarella & Hing Hung & Wolfgang Runggaldier, 2004. "The Volatility of the Instantaneous Spot Interest Rate Implied by Arbitrage Pricing - A Dynamic Bayesian Approach," Finance 0409002, University Library of Munich, Germany.

    Cited by:

    1. Carl Chiarella & Hing Hung & Thuy-Duong To, 2005. "The Volatility Structure of the Fixed Income Market under the HJM Framework: A Nonlinear Filtering Approach," Research Paper Series 151, Quantitative Finance Research Centre, University of Technology, Sydney.

  64. Carl Chiarella & Adam Kucera & Andrew Ziogas, 2004. "A Survey of the Integral Representation of American Option Prices," Research Paper Series 118, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Minh-Quan Nguyen & Nhat-Tan Le & Khuong Nguyen-An & Duc-Thi Luu, 2024. "An Integral Equation Approach for the Valuation of Finite-maturity margin-call Stock Loans," Papers 2407.14728, arXiv.org.
    2. Louis Bhim & Reiichiro Kawai, 2018. "Smooth Upper Bounds For The Price Function Of American Style Options," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-38, February.
    3. Carl Chiarella & Andrew Ziogas, 2002. "Evaluation of American Strangles," Research Paper Series 83, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Carl Chiarella & Jonathan Ziveyi, 2014. "Pricing American options written on two underlying assets," Quantitative Finance, Taylor & Francis Journals, vol. 14(3), pages 409-426, March.
    5. Carl Chiarella & Andrew Ziogas, 2006. "American Call Options on Jump-Diffusion Processes: A Fourier Transform Approach," Research Paper Series 174, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Carl Chiarella & Christina Nikitopoulos Sklibosios & Erik Schlogl, 2007. "A Control Variate Method for Monte Carlo Simulations of Heath-Jarrow-Morton Models with Jumps," Applied Mathematical Finance, Taylor & Francis Journals, vol. 14(5), pages 365-399.
    7. Song-Ping Zhu & Xin-Jiang He & XiaoPing Lu, 2018. "A new integral equation formulation for American put options," Quantitative Finance, Taylor & Francis Journals, vol. 18(3), pages 483-490, March.
    8. Le, Nhat-Tan & Dang, Duy-Minh, 2017. "Pricing American-style Parisian down-and-out call options," Applied Mathematics and Computation, Elsevier, vol. 305(C), pages 330-347.
    9. Carl Chiarella & Christina Nikitopoulos-Sklibosios & Erik Schlogl, 2005. "A Control Variate Method for Monte Carlo Simulations of Heath-Jarrow-Morton with Jumps," Research Paper Series 167, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Gorno, Leandro & Iachan, Felipe S., 2020. "Competitive real options under private information," Journal of Economic Theory, Elsevier, vol. 185(C).
    11. Sha Lin & Song‐Ping Zhu, 2022. "Pricing callable–puttable convertible bonds with an integral equation approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1856-1911, October.
    12. Pierangelo Ciurlia & Ilir Roko, 2004. "Valuation of American Continuous-Installment Options," Computing in Economics and Finance 2004 345, Society for Computational Economics.
    13. Jonathan Ziveyi, 2011. "The Evaluation of Early Exercise Exotic Options," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2011, January-A.
    14. Song-Ping Zhu & Nhat-Tan Le & Wen-Ting Chen & Xiaoping Lu, 2015. "Pricing Parisian down-and-in options," Papers 1511.01564, arXiv.org.

  65. Chiarella, C. & He, X.-Z. & Hommes, C.H., 2004. "A Dynamic Analysis of Moving Average Rules," CeNDEF Working Papers 04-14, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Stephan Schulmeister, 2008. "Aggregate Trading Behaviour of Technical Models and the Yen-Dollar Exchange Rate 1976-2007," WIFO Working Papers 324, WIFO.
    2. Urban Jermann & Vincenzo Quadrini, 2007. "Financial Innovations and Macroeconomic Volatility," 2007 Meeting Papers 50, Society for Economic Dynamics.
    3. Miroslav Verbic, 2008. "On the Role of Memory in an Asset Pricing Model with Heterogeneous Beliefs," Financial Theory and Practice, Institute of Public Finance, vol. 32(2), pages 195-229.
    4. Hermsen, Oliver & Witte, Björn-Christopher & Westerhoff, Frank, 2009. "Disclosure requirements, the release of new information and market efficiency: new insights from agent-based models," Economics Discussion Papers 2009-51, Kiel Institute for the World Economy (IfW Kiel).
    5. Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
    6. Fischer, Thomas, 2011. "News Reaction in Financial Markets within a Behavioral Finance Model with Heterogeneous Agents," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 54196, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. K. J. Hong & S. Satchell, 2015. "Time series momentum trading strategy and autocorrelation amplification," Quantitative Finance, Taylor & Francis Journals, vol. 15(9), pages 1471-1487, September.
    8. Lu-Tao Zhao & Shun-Gang Wang & Zhi-Gang Zhang, 2020. "Oil Price Forecasting Using a Time-Varying Approach," Energies, MDPI, vol. 13(6), pages 1-16, March.
    9. Li, Jie & Ren, Da & Feng, Xu & Zhang, Yongjie, 2016. "Network of listed companies based on common shareholders and the prediction of market volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 508-521.
    10. Christopher J. Neely & Paul A. Weller, 2011. "Technical analysis in the foreign exchange market," Working Papers 2011-001, Federal Reserve Bank of St. Louis.
    11. de Zwart, Gerben & Markwat, Thijs & Swinkels, Laurens & van Dijk, Dick, 2009. "The economic value of fundamental and technical information in emerging currency markets," Journal of International Money and Finance, Elsevier, vol. 28(4), pages 581-604, June.
    12. Carl Chiarella & Corrado Di Guilmi, 2011. "Limit Distribution of Evolving Strategies in Financial Markets," Research Paper Series 294, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Ginestra Bianconi & Tobias Galla & Matteo Marsili & Paolo Pin, 2009. "Effects of Tobin Taxes in Minority Game markets," Post-Print hal-00688185, HAL.
    14. Xue-Zhong He & Min Zheng, 2010. "Dynamics of Moving Average Rules in a Continuous-time Financial Market Model," Research Paper Series 268, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Min Zheng & Duo Wang & Xue-Zhong He, 2009. "Asymmetry of technical analysis and market price volatility," Published Paper Series 2009-6, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    16. Schmitt, Noemi & Westerhoff, Frank H., 2019. "Trend followers, contrarians and fundamentalists: Explaining the dynamics of financial markets," BERG Working Paper Series 151, Bamberg University, Bamberg Economic Research Group.
    17. Anufriev, M. & Bottazzi, G., 2009. "Market Equilibria under Procedural Rationality," CeNDEF Working Papers 09-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    18. He, Xue-Zhong & Li, Kai & Li, Youwei, 2018. "Asset allocation with time series momentum and reversal," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 441-457.
    19. Yu Zhang & Weihong Huang, 2018. "Impact of strategy switching on wealth accumulation," Journal of Evolutionary Economics, Springer, vol. 28(4), pages 961-983, September.
    20. Dan Ladley & Klaus Reiner Schenk-Hoppe, 2007. "Do Stylised Facts of Order Book Markets Need Strategic Behaviour?," Swiss Finance Institute Research Paper Series 07-20, Swiss Finance Institute.
    21. Lengnick, Matthias & Wohltmann, Hans-Werner, 2014. "Optimal monetary policy in a new Keynesian model with animal spirits and financial markets," Economics Working Papers 2014-12, Christian-Albrechts-University of Kiel, Department of Economics.
    22. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    23. Fischer, Thomas & Riedler, Jesper, 2014. "Prices, Debt and Market Structure in an Agent-Based Model of the Financial Market," FinMaP-Working Papers 21, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    24. He, Xue-Zhong & Li, Youwei & Zheng, Min, 2019. "Heterogeneous agent models in financial markets: A nonlinear dynamics approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 135-149.
    25. Mazza, Paolo & Petitjean, Mikael, 2019. "Testing the effect of technical analysis on market quality and order book dynamics," LIDAM Reprints LFIN 2019006, Université catholique de Louvain, Louvain Finance (LFIN).
    26. Jordan Mann & J. Nathan Kutz, 2016. "Dynamic mode decomposition for financial trading strategies," Quantitative Finance, Taylor & Francis Journals, vol. 16(11), pages 1643-1655, November.
    27. Stephan Schulmeister, 2005. "The Interaction between Technical Currency Trading and Exchange Rate Fluctuations," WIFO Working Papers 264, WIFO.
    28. He, Xue-Zhong & Li, Kai, 2015. "Profitability of time series momentum," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 140-157.
    29. KiHoon Jimmy Hong & Eliza Wu, 2014. "Can Momentum Factors Be Used to Enhance Accounting Information based Fundamental Analysis in Explaining Stock Price Movements?," Research Paper Series 346, Quantitative Finance Research Centre, University of Technology, Sydney.
    30. Radu T. Pruna & Maria Polukarov & Nicholas R. Jennings, 2020. "Loss aversion in an agent-based asset pricing model," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 275-290, February.
    31. Marsili, Matteo & Raffaelli, Giacomo & Ponsot, Benedicte, 2009. "Dynamic instability in generic model of multi-assets markets," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1170-1181, May.
    32. Chiarella, Carl & He, Xue-Zhong & Zheng, Min, 2011. "An analysis of the effect of noise in a heterogeneous agent financial market model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 148-162, January.
    33. Zheng, Min & Liu, Ruipeng & Li, Youwei, 2018. "Long memory in financial markets: A heterogeneous agent model perspective," MPRA Paper 84886, University Library of Munich, Germany.
    34. Sandrine Jacob Leal, 2013. "Momentum effect in individual stocks and heterogeneous beliefs among fundamentalists," Economics Bulletin, AccessEcon, vol. 33(4), pages 3102-3116.
    35. J. P. Bouchaud & S. Ciliberti & Y. Lemp'eri`ere & A. Majewski & P. Seager & K. Sin Ronia, 2017. "Black was right: Price is within a factor 2 of Value," Papers 1711.04717, arXiv.org, revised Nov 2017.
    36. Zheng, Huanhuan, 2020. "Coordinated bubbles and crashes," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    37. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    38. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    39. Bask, Mikael, 2007. "Long swings and chaos in the exchange rate in a DSGE model with a Taylor rule," Bank of Finland Research Discussion Papers 19/2007, Bank of Finland.
    40. Ke, Xiaoling & Shi, Ke, 2009. "Stability and bifurcation in a simple heterogeneous asset pricing model," Economic Modelling, Elsevier, vol. 26(3), pages 680-688, May.
    41. Mikhail Anufriev & Pietro Dindo, 2007. "Wealth-driven Selection in a Financial Market with Heterogeneous Agents," LEM Papers Series 2007/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    42. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frederic Abergel, 2011. "Econophysics review: II. Agent-based models," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 1013-1041.
    43. Ron Bird & Lorenzo Casavecchia & Paolo Pellizzari & Paul Woolley, 2009. "The Impact on the Pricing Process of Costly Active Management and Performance Chasing Clients," Working Paper Series 3, The Paul Woolley Centre for Capital Market Dysfunctionality, University of Technology, Sydney.
    44. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frédéric Abergel, 2011. "Econophysics review: I. Empirical facts," Post-Print hal-00621058, HAL.
    45. Xue-Zhong He & Kai Li, 2011. "Heterogeneous Beliefs and Adaptive Behaviour in a Continuous-Time Asset Price Model," Research Paper Series 291, Quantitative Finance Research Centre, University of Technology, Sydney.
    46. De Grauwe, Paul & Rovira Kaltwasser, Pablo, 2012. "Animal spirits in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1176-1192.
    47. Xue-Zhong He & Kai Li & Junjie Wei & Min Zheng, 2009. "Market Stability Switches in a Continuous-Time Financial Market with Heterogeneous Beliefs," Research Paper Series 252, Quantitative Finance Research Centre, University of Technology, Sydney.
    48. Dieci, Roberto & Westerhoff, Frank, 2016. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear economic dynamics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 21-44.
    49. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    50. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    51. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frederic Abergel, 2011. "Econophysics review: I. Empirical facts," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 991-1012.
    52. Kukacka, Jiri & Barunik, Jozef, 2017. "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 21-45.
    53. Naimzada, Ahmad & Pireddu, Marina, 2020. "Eductive stability may not imply evolutionary stability in the presence of information costs," Economics Letters, Elsevier, vol. 186(C).
    54. Stephan Schulmeister, 2007. "The Interaction Between the Aggregate Behaviour of Technical Trading Systems and Stock Price Dynamics," WIFO Working Papers 290, WIFO.
    55. Xue-Zhong He & Youwei Li, 2015. "Testing of a Market Fraction Model and Power-Law Behaviour in the Dax 30," Research Paper Series 354, Quantitative Finance Research Centre, University of Technology, Sydney.
    56. Xue-Zhong He & Kai Li & Chuncheng Wan, 2015. "Volatility Clustering: A Nonlinear Theoretical Approach," Research Paper Series 365, Quantitative Finance Research Centre, University of Technology, Sydney.
    57. Todd Feldman & Gabriele Lepori, 2016. "Asset price formation and behavioral biases," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 8(2), pages 137-155, November.
    58. K. J. Hong & S. Satchell, 2013. "Time Series Momentum Trading Strategy and Autocorrelation Amplification," Cambridge Working Papers in Economics 1322, Faculty of Economics, University of Cambridge.
    59. Hong, KiHoon & Wu, Eliza, 2016. "The roles of past returns and firm fundamentals in driving US stock price movements," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 62-75.
    60. Hommes, Cars & Kiseleva, Tatiana & Kuznetsov, Yuri & Verbic, Miroslav, 2012. "Is More Memory In Evolutionary Selection (De)Stabilizing?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(3), pages 335-357, June.
    61. Ginestra Bianconi & Tobias Galla & Matteo Marsili, 2006. "Effects of Tobin Taxes in Minority Game markets," Papers cond-mat/0603134, arXiv.org.
    62. Wang, Chengjin & Gao, Yudong & Li, Honggang, 2021. "Information interaction, behavioral synchronization and asset market volatility," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    63. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    64. Thomas Fischer, 2017. "Can Redistribution by Means of a Progressive Labor Income-Taxation Transfer System Increase Financial Stability?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-3.
    65. Frank Westerhoff & Reiner Franke, 2012. "Converse trading strategies, intrinsic noise and the stylized facts of financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 12(3), pages 425-436, June.
    66. Strobel, Marcus & Auer, Benjamin R., 2018. "Does the predictive power of variable moving average rules vanish over time and can we explain such tendencies?," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 168-184.
    67. Wang, Lijun & An, Haizhong & Liu, Xiaojia & Huang, Xuan, 2016. "Selecting dynamic moving average trading rules in the crude oil futures market using a genetic approach," Applied Energy, Elsevier, vol. 162(C), pages 1608-1618.
    68. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2015, January-A.
    69. Zhao, Lu-Tao & Wang, Yi & Guo, Shi-Qiu & Zeng, Guan-Rong, 2018. "A novel method based on numerical fitting for oil price trend forecasting," Applied Energy, Elsevier, vol. 220(C), pages 154-163.
    70. Lijun Wang & Haizhong An & Xiaohua Xia & Xiaojia Liu & Xiaoqi Sun & Xuan Huang, 2014. "Generating Moving Average Trading Rules on the Oil Futures Market with Genetic Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, May.
    71. Xuan Zhou & Honggang Li, 2019. "Buying on Margin and Short Selling in an Artificial Double Auction Market," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1473-1489, December.
    72. Carl Chiarella & Xue-Zhong He & Paolo Pellizzari, 2009. "A Dynamic Analysis of the Microstructure of Moving Average Rules in a Double Auction Market," Research Paper Series 251, Quantitative Finance Research Centre, University of Technology, Sydney.
    73. Corrado Di Guilmi & Xue-Zhong He & Kai Li, 2013. "Herding, Trend Chasing and Market Volatility," Research Paper Series 337, Quantitative Finance Research Centre, University of Technology, Sydney.
    74. F. Cavalli & A. Naimzada & M. Pireddu, 2017. "An evolutive financial market model with animal spirits: imitation and endogenous beliefs," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1007-1040, November.
    75. Verbic, Miroslav, 2006. "Memory and Asset Pricing Models with Heterogeneous Beliefs," MPRA Paper 1261, University Library of Munich, Germany.
    76. Weihong HUANG & Yu ZHANG, 2015. "Strategy Change and Wealth Accumulation: An Analysis of S&P 500 Data," Economic Growth Centre Working Paper Series 1502, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    77. Luca Guerrini & Akio Matsumoto & Ferenc Szidarovszky, 2018. "A heterogeneous agent model of asset price dynamics with two time delays," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 379-397, November.
    78. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
    79. Ted Theodosopoulos & Alex Trifunovic, 2006. "Hybrid dynamics for currency modeling," Papers math/0605457, arXiv.org.
    80. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2018. "A laboratory experiment on the heuristic switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 21-42.
    81. Dieci, Roberto & Westerhoff, Frank, 2015. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear dynamics approach," BERG Working Paper Series 99, Bamberg University, Bamberg Economic Research Group.
    82. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2009. "A Framework for CAPM with Heterogenous Beliefs," Research Paper Series 254, Quantitative Finance Research Centre, University of Technology, Sydney.
    83. Sandrine Jacob Leal, 2015. "Fundamentalists, chartists and asset pricing anomalies," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1837-1850, November.
    84. Bowden, Mark P., 2012. "Information contagion within small worlds and changes in kurtosis and volatility in financial prices," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 553-566.
    85. de Jong, Eelke & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2010. "Heterogeneity of agents and exchange rate dynamics: Evidence from the EMS," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1652-1669, December.
    86. Andrew Detzel & Hong Liu & Jack Strauss & Guofu Zhou & Yingzi Zhu, 2021. "Learning and predictability via technical analysis: Evidence from bitcoin and stocks with hard‐to‐value fundamentals," Financial Management, Financial Management Association International, vol. 50(1), pages 107-137, March.
    87. Sandrine Jacob Leal, 2015. "Fundamentalists, Chartists and Asset pricing anomalies," Post-Print hal-01508002, HAL.
    88. Priebe, Stefan & Bogic, Marija & Ashcroft, Richard & Franciskovic, Tanja & Galeazzi, Gian Maria & Kucukalic, Abdulah & Lecic-Tosevski, Dusica & Morina, Nexhmedin & Popovski, Mihajlo & Roughton, Michae, 2010. "Experience of human rights violations and subsequent mental disorders - A study following the war in the Balkans," Social Science & Medicine, Elsevier, vol. 71(12), pages 2170-2177, December.
    89. Qingbin Gong & Zhe Yang, 2020. "Arbitrage, speculation and futures price fluctuations with boundedly rational and heterogeneous agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 763-791, October.
    90. Noemi Schmitt & Frank Westerhoff, 2022. "Speculative housing markets and rent control: insights from nonlinear economic dynamics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 141-163, January.
    91. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    92. João Nicolau, 0. "A discrete and a continuous-time model based on a technical trading rule," Journal of Financial Econometrics, Oxford University Press, vol. 5(2), pages 266-284.
    93. Chiarella, Carl & He, Xue-Zhong & Hommes, Cars, 2006. "Moving average rules as a source of market instability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 12-17.

  66. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "A Behavioural Asset Pricing Model with a Time-Varying Second Moment," Research Paper Series 141, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "Statistical Properties of a Heterogeneous Asset Price Model with Time-Varying Second Moment," Research Paper Series 142, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Gao-Feng Gu & Xiong Xiong & Hai-Chuan Xu & Wei Zhang & Yong-Jie Zhang & Wei Chen & Wei-Xing Zhou, 2017. "An empirical behavioural order-driven model with price limit rules," Papers 1704.04354, arXiv.org.
    3. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
    4. Charles S. Tapiero, 2015. "A financial CCAPM and economic inequalities," Quantitative Finance, Taylor & Francis Journals, vol. 15(3), pages 521-534, March.
    5. Ke, Xiaoling & Shi, Ke, 2009. "Stability and bifurcation in a simple heterogeneous asset pricing model," Economic Modelling, Elsevier, vol. 26(3), pages 680-688, May.
    6. Naimzada, Ahmad K. & Ricchiuti, Giorgio, 2009. "Dynamic effects of increasing heterogeneity in financial markets," Chaos, Solitons & Fractals, Elsevier, vol. 41(4), pages 1764-1772.
    7. Zhu, Mei & Wang, Duo & Guo, Maozheng, 2011. "Stochastic equilibria of an asset pricing model with heterogeneous beliefs and random dividends," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 131-147, January.
    8. Dieci, Roberto & Westerhoff, Frank, 2016. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear economic dynamics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 21-44.
    9. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Park, Beum-Jo, 2014. "Time-varying, heterogeneous risk aversion and dynamics of asset prices among boundedly rational agents," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 150-159.
    11. Melecký, Jan & Sergyeyev, Artur, 2008. "A simple finite-difference stock market model involving intrinsic value," Chaos, Solitons & Fractals, Elsevier, vol. 38(3), pages 769-777.
    12. Kousik Guhathakurtha, 2013. "Investigating The Nonlinear Dynamics Of Emerging And Developed Stock Markets," Working papers 142, Indian Institute of Management Kozhikode.
    13. Loretti I. Dobrescu & Mihaela Neamtu & Dumitru Opris, 2011. "A Discrete--Delay Dynamic Model for the Stock Market," Discussion Papers 2012-11, School of Economics, The University of New South Wales.
    14. Tae-Seok Jang, 2015. "Identification of Social Interaction Effects in Financial Data," Computational Economics, Springer;Society for Computational Economics, vol. 45(2), pages 207-238, February.
    15. Giovanni Campisi & Silvia Muzzioli, 2020. "Fundamentalists heterogeneity and the role of the sentiment indicator," Department of Economics 0167, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".

  67. Ram Bhar & Carl Chiarella & Thuy-Duong To, 2004. "Estimating the Volatility Structure of an Arbitrage-Free Interest Rate Model Via the Futures Markets," Finance 0409003, University Library of Munich, Germany.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Derivative Security Pricing," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-662-45906-5, June.
    2. Thuy-Duong To, 2004. "A Note on the Bias of using Futures Rates as a Proxy for the Instantaneous Forward Rate," Research Paper Series 149, Quantitative Finance Research Centre, University of Technology, Sydney.

  68. C. Chiarella & P. Chen, 2004. "Keynesian Dynamics and the Wage-Price Spiral:Estimating a Baseline Disequilibrium Approach," Computing in Economics and Finance 2004 149, Society for Computational Economics.

    Cited by:

    1. K. Vela Velupillai, 2004. "A Disequilibrium Macrodynamic Model of Fluctuations," Working Papers 0081, National University of Ireland Galway, Department of Economics, revised 2004.
    2. Toichiro Asada & Pu Chen & Carl Chiarella & Peter Flaschel, 2004. "Keynesian Dynamics and the Wage Price Spiral. A Baseline Disequilibrium Approach," Macroeconomics 0409001, University Library of Munich, Germany.
    3. Asada, Toichiro & Chen, Pu & Chiarella, Carl & Flaschel, Peter, 2006. "Keynesian dynamics and the wage-price spiral: A baseline disequilibrium model," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 90-130, March.
    4. Pu Chen & Peter Flaschel, 2005. "Keynesian Dynamics and the Wage–Price Spiral: Identifying Downward Rigidities," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 115-142, February.
    5. Stéphane Hallegatte & Michael Ghil & Patrice Dumas & Jean Charles Hourcade, 2008. "Business Cycles, Bifurcations and Chaos in a Neo-Classical Model with Investment Dynamics," Post-Print halshs-00007196, HAL.
    6. Pu Chen & Carl Chiarella & Peter Flaschel & Willi Semmler, 2006. "Keynesian Macrodynamics and the Phillips Curve. An Estimated Baseline Macromodel for the U.S. Economy," Working Paper Series 147, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  69. Carl Chiarella & Shenhuai Gao, 2004. "Continuous Time Model Estimation," Working Paper Series 138, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Shenhuai Gao, 2002. "Modelling the Value of the S&P 500 - A System Dynamics Perspective," Working Paper Series 115, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Chiarella, Carl & Gao, Shenhuai, 2004. "The value of the S&P 500--A macro view of the stock market adjustment process," Global Finance Journal, Elsevier, vol. 15(2), pages 171-196, August.

  70. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2003. "Output and the Term Structure of Interest Rates: Ways Out of th Jump-Variable Conundrum," Working Paper Series 125, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Willi Semmler, 2003. "Real-Financial Interaction: Implications of Budget Equations and Capital Accumulation," Working Paper Series 127, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  71. Carl Chiarella & Roberto Dieci & Laura Gardini, 2003. "A Dynamic Analysis of Speculation Across Two Markets," Research Paper Series 89, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Roberto Dieci & Laura Gardini, 2001. "Speculative Behaviour and Complex Asset Price Dynamics," Research Paper Series 49, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Orlando Gomes, 2006. "Routes to chaos in macroeconomic theory," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 33(6), pages 437-468, November.
    3. Vinod Cheriyan & Anton J. Kleywegt, 2016. "A dynamical systems model of price bubbles and cycles," Quantitative Finance, Taylor & Francis Journals, vol. 16(2), pages 309-336, February.

  72. Peiyuan Zhu & Carl Chiarella & Tony He, 2003. "Fading Memory Learning in the Cobweb Model with Risk Averse Heterogeneous Producers," Computing in Economics and Finance 2003 31, Society for Computational Economics.

    Cited by:

    1. Miroslav Verbic, 2008. "On the Role of Memory in an Asset Pricing Model with Heterogeneous Beliefs," Financial Theory and Practice, Institute of Public Finance, vol. 32(2), pages 195-229.
    2. Domenico Colucci & Vincenzo Valori, 2004. "Generalised Fading Memory Learning in a Cobweb Model: some evidence," Computing in Economics and Finance 2004 272, Society for Computational Economics.
    3. Domenico Colucci & Vincenzo Valori, 2005. "Ways of learning in a simple economic setting: a comparison," Working Papers - Mathematical Economics 2005-01, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    4. Domenico Colucci & Vincenzo Valori, 2004. "Adaptive learning in the Cobweb with an endogenous gain sequence," Working Papers - Mathematical Economics 2004-01, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    5. Hommes, Cars & Kiseleva, Tatiana & Kuznetsov, Yuri & Verbic, Miroslav, 2012. "Is More Memory In Evolutionary Selection (De)Stabilizing?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(3), pages 335-357, June.
    6. Verbic, Miroslav, 2006. "Memory and Asset Pricing Models with Heterogeneous Beliefs," MPRA Paper 1261, University Library of Munich, Germany.
    7. Chiarella, Carl & He, Xue-Zhong & Hung, Hing & Zhu, Peiyuan, 2006. "An analysis of the cobweb model with boundedly rational heterogeneous producers," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 750-768, December.

  73. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "Towards Applied Disequilibrium Growth Theory: IV Numerical Investigations of the Core 18D Model," Working Paper Series 96, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VII Intensive Form and Steady State Calculation in the Case of Substitution," Working Paper Series 99, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VI Substitution, Money-Holdings, Wealth-Effects and Further Extensions," Working Paper Series 98, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Carl Chiarella & Peter Flaschel & Willi Semmler, 1999. "The Macrodynamics of Debt Deflation," SCEPA working paper series. 1999-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    5. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: II Intensive Form and Steady State Analysis of the Model," Working Paper Series 94, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Carl Chiarella & Peter Flaschel, 2003. "Towards Applied Disequilibrium Growth Theory: V Housing Investment Cycles, Private Debt Accumulation and Deflation," Working Paper Series 97, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  74. Toichiro Asada & Carl Chiarella & Peter Flaschel, 2003. "Keynes-Metzler-Goodwin Model Building: The Closed Economy," Working Paper Series 124, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. K. Vela Velupillai, 2004. "A Disequilibrium Macrodynamic Model of Fluctuations," Working Papers 0081, National University of Ireland Galway, Department of Economics, revised 2004.
    2. Orlando Gomes, 2010. "Endogenous Growth, Price Stability And Market Disequilibria," Metroeconomica, Wiley Blackwell, vol. 61(1), pages 3-34, February.

  75. To, Thuy Duong & Carl Chiarella, 2003. "The Jump Component of the Volatility Structure of Interest Rate Futures Markets: An International Comparison," Royal Economic Society Annual Conference 2003 205, Royal Economic Society.

    Cited by:

    1. Carl Chiarella & Erik Schlögl & Christina Nikitopoulos-Sklibosios, 2004. "A Markovian Defaultable Term Structure Model with State Dependent Volatilities," Research Paper Series 135, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2006. "The Information Content Of Treasury Bond Options Concerning Future Volatility And Price Jumps," Working Paper 1188, Economics Department, Queen's University.
    3. Carl Chiarella & Christina Nikitopoulos-Sklibosios, 2004. "A Class of Jump-Diffusion Bond Pricing Models within the HJM Framework," Research Paper Series 132, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Ram Bhar & Carl Chiarella & Thuy-Duong To, 2004. "Estimating the Volatility Structure of an Arbitrage-Free Interest Rate Model Via the Futures Markets," Finance 0409003, University Library of Munich, Germany.
    5. Carl Chiarella & Christina Nikitopoulos Sklibosios & Erik Schlogl, 2007. "A Control Variate Method for Monte Carlo Simulations of Heath-Jarrow-Morton Models with Jumps," Applied Mathematical Finance, Taylor & Francis Journals, vol. 14(5), pages 365-399.
    6. Christina Nikitopoulos-Sklibosios, 2005. "A Class of Markovian Models for the Term Structure of Interest Rates Under Jump-Diffusions," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2005, January-A.
    7. Carl Chiarella & Thuy-Duong Tô, 2006. "The Multifactor Nature of the Volatility of Futures Markets," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 163-183, May.
    8. Lin, Shih-Kuei & Wang, Shin-Yun & Chen, Carl R. & Xu, Lian-Wen, 2017. "Pricing Range Accrual Interest Rate Swap employing LIBOR market models with jump risks," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 359-373.
    9. Carl Chiarella & Christina Nikitopoulos-Sklibosios & Erik Schlogl, 2005. "A Control Variate Method for Monte Carlo Simulations of Heath-Jarrow-Morton with Jumps," Research Paper Series 167, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Carl Chiarella & Thuy-Duong To, 2005. "The Multifactor Nature of the Volatility of the Eurodollar Futures Market," Research Paper Series 150, Quantitative Finance Research Centre, University of Technology, Sydney.

  76. Carl Chiarella & Peter Flaschel, 2003. "Towards Applied Disequilibrium Growth Theory: V Housing Investment Cycles, Private Debt Accumulation and Deflation," Working Paper Series 97, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VII Intensive Form and Steady State Calculation in the Case of Substitution," Working Paper Series 99, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VI Substitution, Money-Holdings, Wealth-Effects and Further Extensions," Working Paper Series 98, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: II Intensive Form and Steady State Analysis of the Model," Working Paper Series 94, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  77. Carl Chiarella & Peter Flaschel & Willi Semmler, 2003. "Real-Financial Interaction: Implications of Budget Equations and Capital Accumulation," Working Paper Series 127, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Willi Semmler, 2001. "Real-Financial Interaction: A Reconsideration of the Blanchard Model with a State-of-Market Dependent Reaction Coefficient," Working Paper Series 111, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2000. "Output, Financial Markets and Growth," Working Paper Series 108, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2003. "Output and the Term Structure of Interest Rates: Ways Out of th Jump-Variable Conundrum," Working Paper Series 125, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  78. Andrew Ziogas & Carl Chiarella, 2003. "McKean’s Method applied to American Call Options on Jump-Diffusion Processes," Computing in Economics and Finance 2003 39, Society for Computational Economics.

    Cited by:

    1. Carl Chiarella & Andrew Ziogas, 2005. "Pricing American Options on Jump-Diffusion Processes using Fourier Hermite Series Expansions," Research Paper Series 145, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Carl Chiarella & Andrew Ziogas, 2002. "Evaluation of American Strangles," Research Paper Series 83, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Min Dai & Yue Kuen Kwok, 2006. "Characterization Of Optimal Stopping Regions Of American Asian And Lookback Options," Mathematical Finance, Wiley Blackwell, vol. 16(1), pages 63-82, January.
    4. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2021. "A numerical approach to pricing exchange options under stochastic volatility and jump-diffusion dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2025-2054, December.

  79. Carl Chiarella & Shenhuai Gao, 2002. "Modelling the Value of the S&P 500 - A System Dynamics Perspective," Working Paper Series 115, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Shenhuai Gao, 2002. "Solving the Price-Earnings Puzzle," Working Paper Series 116, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Shenhuai Gao, 2004. "Continuous Time Model Estimation," Working Paper Series 138, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Shamsuddin, Abul F. M. & Hillier, John R., 2004. "Fundamental determinants of the Australian price-earnings multiple," Pacific-Basin Finance Journal, Elsevier, vol. 12(5), pages 565-576, November.

  80. Carl Chiarella & Andrew Ziogas, 2002. "Evaluation of American Strangles," Computing in Economics and Finance 2002 28, Society for Computational Economics.

    Cited by:

    1. Zhiqiang Zhou & Hongying Wu, 2018. "Laplace Transform Method for Pricing American CEV Strangles Option with Two Free Boundaries," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-12, September.
    2. Andrew Ziogas & Carl Chiarella, 2003. "McKean’s Method applied to American Call Options on Jump-Diffusion Processes," Computing in Economics and Finance 2003 39, Society for Computational Economics.
    3. Detemple, Jérôme & Emmerling, Thomas, 2009. "American chooser options," Journal of Economic Dynamics and Control, Elsevier, vol. 33(1), pages 128-153, January.
    4. Jun Cheng & Jin Zhang, 2012. "Analytical pricing of American options," Review of Derivatives Research, Springer, vol. 15(2), pages 157-192, July.
    5. Joanna Goard & Mohammed AbaOud, 2022. "Analytic Approximation for American Straddle Options," Mathematics, MDPI, vol. 10(9), pages 1-14, April.
    6. Carl Chiarella & Andrew Ziogas, 2005. "Pricing American Options on Jump-Diffusion Processes using Fourier Hermite Series Expansions," Research Paper Series 145, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Tsvetelin S. Zaevski, 2023. "American strangle options with arbitrary strikes," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(7), pages 880-903, July.
    8. Tomas Bokes, 2010. "A unified approach to determining the early exercise boundary position at expiry for American style of general class of derivatives," Papers 1012.0348, arXiv.org, revised Mar 2011.
    9. Franck Moraux, 2009. "On perpetual American strangles," Post-Print halshs-00393811, HAL.
    10. Carl Chiarella & Jonathan Ziveyi, 2014. "Pricing American options written on two underlying assets," Quantitative Finance, Taylor & Francis Journals, vol. 14(3), pages 409-426, March.
    11. Anna Battauz & Marzia De Donno & Alessandro Sbuelz, 2015. "Real Options and American Derivatives: The Double Continuation Region," Management Science, INFORMS, vol. 61(5), pages 1094-1107, May.
    12. Shi Qiu & Sovan Mitra, 2018. "Mathematical Properties Of American Chooser Options," Journal of Enterprising Culture (JEC), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-30, December.
    13. Laminou Abdou, Souleymane & Moraux, Franck, 2016. "Pricing and hedging American and hybrid strangles with finite maturity," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 112-125.
    14. Jeon, Junkee & Kim, Geonwoo, 2019. "An integral equation approach for optimal investment policies with partial reversibility," Chaos, Solitons & Fractals, Elsevier, vol. 125(C), pages 73-78.
    15. Xuemei Gao & Dongya Deng & Yue Shan, 2014. "Lattice Methods for Pricing American Strangles with Two-Dimensional Stochastic Volatility Models," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-6, April.
    16. Jérôme Detemple, 2014. "Optimal Exercise for Derivative Securities," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 459-487, December.
    17. Tiziano De Angelis, 2020. "Stopping spikes, continuation bays and other features of optimal stopping with finite-time horizon," Papers 2009.01276, arXiv.org, revised Jan 2022.
    18. Ha, Mijin & Kim, Donghyun & Yoon, Ji-Hun & Choi, Sun-Yong, 2025. "Pricing for perpetual American strangle options under stochastic volatility with fast mean reversion," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 227(C), pages 41-57.
    19. Mahayni, Antje & Schoenmakers, John G.M., 2011. "Minimum return guarantees with fund switching rights—An optimal stopping problem," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1880-1897.
    20. Carl Chiarella & Adam Kucera & Andrew Ziogas, 2004. "A Survey of the Integral Representation of American Option Prices," Research Paper Series 118, Quantitative Finance Research Centre, University of Technology, Sydney.
    21. Jonathan Ziveyi, 2011. "The Evaluation of Early Exercise Exotic Options," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2011, January-A.

  81. Carl Chiarella & Peter Flaschel & Gang Gong & Willi Semmler, 2002. "Nonlinear Phillips Curves, Complex Dynamics and Monetary Policy in a Keynesian Macro Model," Working Paper Series 120, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Jian Gao & Gang Gong & Xue-Zhong He, 2007. "Monetary Policy and Exchange Rate Regime: Proposal for a Small and Less Developed Economy," Research Paper Series 199, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "The Structure of Keynesian Macrodynamics: A Framework for Future Research," Working Paper Series 129, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Hallegatte, Stephane & Ghil, Michael, 2007. "Endogenous Business Cycles and the Economic Response to Exogenous Shocks," Economic Theory and Applications Working Papers 10275, Fondazione Eni Enrico Mattei (FEEM).
    4. Murakami, Hiroki & Asada, Toichiro, 2018. "Inflation-deflation expectations and economic stability in a Kaleckian system," Journal of Economic Dynamics and Control, Elsevier, vol. 92(C), pages 183-201.
    5. Charpe, Matthieu & Flaschel, Peter, 2013. "Workers’ debt, default and the diversity of financial fragilities," Structural Change and Economic Dynamics, Elsevier, vol. 27(C), pages 48-65.
    6. de Sá, Rodrigo & Savino Portugal, Marcelo, 2015. "Central bank and asymmetric preferences: An application of sieve estimators to the U.S. and Brazil," MPRA Paper 72746, University Library of Munich, Germany.
    7. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Time-varying long-range dependence in US interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 360-367.
    8. Stéphane Hallegatte & Michael Ghil & Patrice Dumas & Jean Charles Hourcade, 2008. "Business Cycles, Bifurcations and Chaos in a Neo-Classical Model with Investment Dynamics," Post-Print halshs-00007196, HAL.
    9. Hiroki Murakami, 2016. "Alternative monetary policies and economic stability in a medium-term Keynesian model," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 323-362, December.
    10. Toichiro Asada & Carl Chiarella & Peter Flaschel, 2003. "Keynes-Metzler-Goodwin Model Building: The Closed Economy," Working Paper Series 124, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    11. Gang Gong & Jian Gao, 2006. "The Independent Monetary Policy under the Fixed Exchange Regime," Computing in Economics and Finance 2006 517, Society for Computational Economics.
    12. Gang Gong & Jian Gao, 2008. "Monetary policy under fixed exchange regime: A study on the future monetary policy in China," Psychometrika, Springer;The Psychometric Society, vol. 3(2), pages 169-208, June.
    13. GONG Gang & GAO Jian, 2008. "Monetary policy under fixed exchange regime: A study on the future monetary policy in China," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 3(2), pages 169-208, June.
    14. de Sá, Rodrigo & Portugal, Marcelo S., 2015. "Central bank and asymmetric preferences: An application of sieve estimators to the U.S. and Brazil," Economic Modelling, Elsevier, vol. 51(C), pages 72-83.
    15. Stéphane Hallegatte, 2005. "Interactions d'échelles en économie : Application à l'évaluation intégré des dommages du changement climatique et des événements extrêmes," CIRED Working Papers halshs-00008712, HAL.
    16. Matthieu Charpe & Peter Flaschel, 2011. "Worker debt, default ans diversity of financial fragility," IMK Working Paper 5-2011, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.

  82. Carl Chiarella & Shenhuai Gao, 2002. "Type I Spurious Regression in Econometrics," Working Paper Series 114, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Ai Deng, 2014. "Understanding Spurious Regression in Financial Economics," Journal of Financial Econometrics, Oxford University Press, vol. 12(1), pages 122-150.
    2. Kitov, Oleg & Kitov, Ivan, 2011. "A win-win monetary policy in Canada," MPRA Paper 29975, University Library of Munich, Germany.
    3. Ivan O. Kitov & Oleg I. Kitov & Svetlana A. Dolinskaya, 2008. "Relationship between inflation, unemployment and labor force change rate in France: cointegration test," Papers 0811.0896, arXiv.org.
    4. Stanova, Nadja, 2015. "Effects of fiscal shocks in new EU members estimated from a SVARX model with debt feedback," MPRA Paper 63148, University Library of Munich, Germany.
    5. Ivan Kitov & Oleg Kitov & Svetlana Dolinskaya, 2007. "Modeling Real GDP Per Capita in the USA: Cointegration Test," Mechonomics mechanomics1, Socionet.
    6. de Mendonça, Helder Ferreira & da Silva Veiga, Igor, 2014. "A Note On Openness And Inflation Targeting: Implications For The Unpleasant Fiscal Arithmetic," Macroeconomic Dynamics, Cambridge University Press, vol. 18(5), pages 1187-1207, July.
    7. Ivan Kitov & Oleg Kitov & Svetlana Dolinskaya, 2007. "Linear Lagged Relationship Between Inflation, Unemployment and Labor Force Change Rate in France: Cointegration Test," Mechonomics mechonomics2, Socionet.
    8. Carl Chiarella & Shenhuai Gao, 2002. "Modelling the Value of the S&P 500 - A System Dynamics Perspective," Working Paper Series 115, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    9. Li, Jing, 2012. "Economic segregation and urban growth," MPRA Paper 41050, University Library of Munich, Germany.
    10. Ivan Kitov & Oleg Kitov & Svetlana Dolinskaya, 2007. "Inflation as a Function of Labor Force Change Rate: Cointegration Test for the USA," Mechonomics mechonomics3, Socionet.
    11. Carl Chiarella & Shenhuai Gao, 2002. "Solving the Price-Earnings Puzzle," Working Paper Series 116, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    12. Carl Chiarella & Shenhuai Gao, 2004. "Continuous Time Model Estimation," Working Paper Series 138, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  83. Carl Chiarella & Peter Flaschel & Gang Gong & Willi Semmler, 2002. "Nonlinear Phillips Curves, the Emergence of Complex Dynamics and the Role of Monetary Policy Rules," Computing in Economics and Finance 2002 89, Society for Computational Economics.

    Cited by:

    1. Hallegatte, Stephane & Ghil, Michael, 2007. "Endogenous Business Cycles and the Economic Response to Exogenous Shocks," Economic Theory and Applications Working Papers 10275, Fondazione Eni Enrico Mattei (FEEM).

  84. Giulia Iori & Carl Chiarella, 2002. "A simple microstructure model of double auction markets," Computing in Economics and Finance 2002 44, Society for Computational Economics.

    Cited by:

    1. Jeannin, M. & Iori, G. & Samuel, D., 2006. "Modeling stock pinning," Working Papers 06/04, Department of Economics, City University London.
    2. Carl Chiarella & Giulia Iori, 2005. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Research Paper Series 152, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Iori, G. & Daniels, M.G. & Farmer, J.D. & Gillemot, L. & Krishnamurthy, S. & Smith, E., 2003. "An analysis of price impact function in order-driven markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 146-151.
    4. Krause, Andreas, 2006. "Fat tails and multi-scaling in a simple model of limit order markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(1), pages 183-190.
    5. Lijian Wei & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2013. "Learning and Information Dissemination in Limit Order Markets," Research Paper Series 333, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Arifovic, Jasmina & He, Xue-zhong & Wei, Lijian, 2022. "Machine learning and speed in high-frequency trading," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    7. Yuri Biondi & Pierpaolo Giannoccolo, 2015. "Share price formation, market exuberance and financial stability under alternative accounting regimes," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 333-362, October.
    8. LeBaron, Blake & Yamamoto, Ryuichi, 2007. "Long-memory in an order-driven market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 85-89.

  85. Carl Chiarella & Shenhuai Gao, 2002. "Solving the Price-Earnings Puzzle," Working Paper Series 116, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Sanna, Dario, 2020. "A Fast and Parsimonious Way to Estimate the Implied Rate of Return of Equity," MPRA Paper 102003, University Library of Munich, Germany.
    2. Carl Chiarella & Shenhuai Gao, 2002. "Type I Spurious Regression in Econometrics," Working Paper Series 114, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Shenhuai Gao, 2002. "Modelling the Value of the S&P 500 - A System Dynamics Perspective," Working Paper Series 115, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  86. Carl Chiarella & Tony He, 2002. "An Adaptive Model on Asset Pricing and Wealth Dynamics with Heterogeneous Trading Strategies," Computing in Economics and Finance 2002 135, Society for Computational Economics.

    Cited by:

    1. Anufriev, M. & Dindo, P.D.E., 2007. "Wealth Selection in a Financial Market with Heterogeneous Agents," CeNDEF Working Papers 07-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    2. Orlando Gomes, 2004. "A Continuous-Time Asset Pricing Model with Boundedly Rational Heterogeneous Agents," Finance 0409055, University Library of Munich, Germany.
    3. Mikhail Anufriev, 2008. "Wealth-driven competition in a speculative financial market: examples with maximizing agents," Quantitative Finance, Taylor & Francis Journals, vol. 8(4), pages 363-380.
    4. Jiri Kukacka & Jozef Barunik, 2012. "Behavioural breaks in the heterogeneous agent model: the impact of herding, overconfidence, and market sentiment," Papers 1205.3763, arXiv.org, revised May 2013.
    5. Mikhail Anufriev & Giulio Bottazzi, 2006. "Behavioral Consistent Market Equilibria under Procedural Rationality," Computing in Economics and Finance 2006 225, Society for Computational Economics.
    6. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Mikhail Anufriev & Pietro Dindo, 2006. "Equilibrium Return and Agents’ Survival in a Multiperiod Asset Market: Analytic Support of a Simulation Model," Lecture Notes in Economics and Mathematical Systems, in: Charlotte Bruun (ed.), Advances in Artificial Economics, chapter 19, pages 269-282, Springer.
    8. Amilon, Henrik, 2008. "Estimation of an adaptive stock market model with heterogeneous agents," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 342-362, March.
    9. Mikhail Anufriev & Giulio Bottazzi & Francesca Pancotto, 2004. "Price and Wealth Asymptotic Dynamics with CRRA Technical Trading Strategies," LEM Papers Series 2004/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Anufriev, Mikhail & Bottazzi, Giulio & Pancotto, Francesca, 2006. "Equilibria, stability and asymptotic dominance in a speculative market with heterogeneous traders," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1787-1835.
    11. Demary Markus, 2008. "Who Does a Currency Transaction Tax Harm More: Short-Term Speculators or Long-Term Investors?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 228-250, April.
    12. Carl Chiarella & Roberto Dieci, 2004. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Computing in Economics and Finance 2004 261, Society for Computational Economics.
    13. Ya-Chi Huang & Chueh-Yung Tsao, 2018. "Discovering Traders’ Heterogeneous Behavior in High-Frequency Financial Data," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 821-846, April.
    14. Lux, Thomas & Schornstein, Sascha, 2005. "Genetic learning as an explanation of stylized facts of foreign exchange markets," Journal of Mathematical Economics, Elsevier, vol. 41(1-2), pages 169-196, February.
    15. Mikhail Anufriev & Pietro Dindo, 2007. "Wealth-driven Selection in a Financial Market with Heterogeneous Agents," LEM Papers Series 2007/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Demary, Markus, 2006. "Transaction taxes, traders' behavior and exchange rate risks," Economics Working Papers 2006-14, Christian-Albrechts-University of Kiel, Department of Economics.
    17. Orlando Gomes, 2004. "Heterogeneous Researchers in a Two-Sector Representative Consumer Economy," GE, Growth, Math methods 0409009, University Library of Munich, Germany.
    18. Demary, Markus, 2007. "A Heterogenous Agents Model Usable for the Analysis of Currency Transaction Taxes," Economics Working Papers 2007-27, Christian-Albrechts-University of Kiel, Department of Economics.
    19. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    20. Kukacka, Jiri & Barunik, Jozef, 2017. "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 21-45.
    21. Jörn Dermietzel, 2008. "The Heterogeneous Agents Approach to Financial Markets – Development and Milestones," International Handbooks on Information Systems, in: Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), Handbook on Information Technology in Finance, chapter 19, pages 443-464, Springer.
    22. Blake LeBaron, 2011. "Active and Passive Learning in Agent-based Financial Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 35-43.
    23. Park, Beum-Jo, 2014. "Time-varying, heterogeneous risk aversion and dynamics of asset prices among boundedly rational agents," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 150-159.
    24. Demary, Markus, 2009. "Transaction taxes and traders with heterogeneous investment horizons in an agent-based financial market model," Economics Discussion Papers 2009-47, Kiel Institute for the World Economy (IfW Kiel).
    25. Mikhail Anufriev & Giulio Bottazzi, 2005. "Price and Wealth Dynamics in a Speculative Market with an Arbitrary Number of Generic Technical Traders," LEM Papers Series 2005/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  87. Carl Chiarella & Mauro Gallegati & Roberto Leombruni & Antonio Palestrini, 2002. "Asset Price Dynamics among Heterogeneous Interacting Agents," Computing in Economics and Finance 2002 222, Society for Computational Economics.

    Cited by:

    1. Huang, Weihong & Zheng, Huanhuan & Chia, Wai-Mun, 2010. "Financial crises and interacting heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 34(6), pages 1105-1122, June.
    2. Jiri Kukacka & Jozef Barunik, 2012. "Behavioural breaks in the heterogeneous agent model: the impact of herding, overconfidence, and market sentiment," Papers 1205.3763, arXiv.org, revised May 2013.
    3. Ehsan Ahmed & J. Barkley Rosser, Jr. & Jamshed Y. Uppal, 2016. "A Raging Bull or a Long-term Speculative Bubble? The Puzzling Case of the Karachi Stock Exchange," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(2), pages 79-93.
    4. Andrew Foster & Natasha Kirby, 2011. "Analysis of a Heterogeneous Trader Model for Asset Price Dynamics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2011, pages 1-12, October.
    5. Huang, Weihong & Chen, Zhenxi, 2020. "Modelling contagion of financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    6. Philip Z. Maymin, 2010. "Schizophrenic Representative Investors," Papers 1004.4592, arXiv.org.
    7. Roy Cerqueti & Giulia Rotundo, 2015. "A review of aggregation techniques for agent-based models: understanding the presence of long-term memory," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1693-1717, July.
    8. Zhenxi Chen & Weihong Huang & Huanhuan Zheng, 2018. "Estimating heterogeneous agents behavior in a two-market financial system," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(3), pages 491-510, October.
    9. Chang, Sheng-Kai, 2007. "A simple asset pricing model with social interactions and heterogeneous beliefs," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1300-1325, April.
    10. Chang Sheng-Kai, 2014. "Herd behavior, bubbles and social interactions in financial markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(1), pages 89-101, February.
    11. Weihong HUANG & Wanying Wang, 2012. "Price-Volume Relations in Financial Market," Economic Growth Centre Working Paper Series 1209, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    12. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Orlando Gomes, 2008. "Decentralized Allocation of Human Capital and Nonlinear Growth," Computational Economics, Springer;Society for Computational Economics, vol. 31(1), pages 45-75, February.
    14. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    15. Carl Chiarella & Xue-Zhong He & Weihong Huang & Huanhuan Zheng, 2011. "Estimating Behavioural Heterogeneity Under Regime Switching," Research Paper Series 290, Quantitative Finance Research Centre, University of Technology, Sydney.
    16. V. Alfi & L. Pietronero & A. Zaccaria, 2008. "Minimal Agent Based Model For The Origin And Self-Organization Of Stylized Facts In Financial Markets," Papers 0807.1888, arXiv.org.
    17. Huang, Weihong & Zheng, Huanhuan, 2012. "Financial crises and regime-dependent dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 445-461.
    18. Chen, Zhenxi, 2014. "Estimating heterogeneous agents behavior with different investment horizons in stock markets," FinMaP-Working Papers 5, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    19. Ducha, F.A. & Atman, A.P.F. & Bosco de Magalhães, A.R., 2021. "Information flux in complex networks: Path to stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    20. Gallegati, Mauro & Palestrini, Antonio & Rosser, J. Barkley, 2011. "The Period Of Financial Distress In Speculative Markets: Interacting Heterogeneous Agents And Financial Constraints," Macroeconomic Dynamics, Cambridge University Press, vol. 15(1), pages 60-79, February.
    21. Ehsan Ahmed & J. Barkley Rosser Jr. & Jamshed Y. Uppal, 2010. "Emerging Markets and Stock Market Bubbles: Nonlinear Speculation?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(4), pages 23-40, January.

  88. Ram Bhar & Carl Chiarella & Thuy Duong To, 2002. "A Maximum Likelihood Approach to Estimation of Heath-Jarrow-Morton Models," Research Paper Series 80, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Olivier Feron & Pierre Gruet, 2020. "Estimation of the number of factors in a multi-factorial Heath-Jarrow-Morton model in electricity markets," Working Papers hal-02880824, HAL.
    2. Neil Shephard & Torben G. Andersen, 2008. "Stochastic Volatility: Origins and Overview," OFRC Working Papers Series 2008fe23, Oxford Financial Research Centre.
    3. Lee, Kiseop & Xu, Mingxin, 2007. "Parameter estimation from multinomial trees to jump diffusions with k means clustering," MPRA Paper 3307, University Library of Munich, Germany, revised 26 Apr 2007.
    4. Valeria D’Amato & Emilia Di Lorenzo & Steven Haberman & Maria Russolillo & Marilena Sibillo, 2011. "The Poisson Log-Bilinear Lee-Carter Model," North American Actuarial Journal, Taylor & Francis Journals, vol. 15(2), pages 315-333.
    5. Laurini, Márcio Poletti & Ohashi, Alberto, 2015. "A noisy principal component analysis for forward rate curves," European Journal of Operational Research, Elsevier, vol. 246(1), pages 140-153.
    6. Yassine El Qalli, 2010. "Recursive Bayesian Estimation In Forward Price Models Implied By Fair Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 301-333.

  89. Carl Chiarella & Silvana Musti, 2002. "Numerical Investigations of the Heath Jarrow Morton Model with Forward Rate Dependent Volatility," Computing in Economics and Finance 2002 84, Society for Computational Economics.

    Cited by:

    1. Carl Chiarella & Oh-Kang Kwon, 1999. "Forward Rate Dependent Markovian Transformations of the Heath-Jarrow-Morton Term Structure Model," Research Paper Series 5, Quantitative Finance Research Centre, University of Technology, Sydney.

  90. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2002. "Stability Analysis of a High-Dimensional Macrodynamic Model of Real-Financial Interaction: A Cascade of Matrices Approach," Working Paper Series 123, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Toichiro Asada & Pu Chen & Carl Chiarella & Peter Flaschel, 2004. "Keynesian Dynamics and the Wage Price Spiral. A Baseline Disequilibrium Approach," Macroeconomics 0409001, University Library of Munich, Germany.
    2. Asada, Toichiro & Chen, Pu & Chiarella, Carl & Flaschel, Peter, 2006. "Keynesian dynamics and the wage-price spiral: A baseline disequilibrium model," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 90-130, March.
    3. Carl Chiarella & Peter Flaschel & Willi Semmler, 2003. "Real-Financial Interaction: Implications of Budget Equations and Capital Accumulation," Working Paper Series 127, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Toichiro Asada & Carl Chiarella & Peter Flaschel, 2003. "Keynes-Metzler-Goodwin Model Building: The Closed Economy," Working Paper Series 124, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2003. "Output and the Term Structure of Interest Rates: Ways Out of th Jump-Variable Conundrum," Working Paper Series 125, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Sołtysiak Damian, 2023. "On the stability of a certain Keynes-Metzler-Goodwin monetary growth model," Economics and Business Review, Sciendo, vol. 9(1), pages 26-64, April.

  91. G.I. Bischi, & C. Chiarella & M. Kopel, 2002. "On Market Games with Misspecified Demand Functions : Long Run Outcomes and Global Dynamics," Computing in Economics and Finance 2002 27, Society for Computational Economics.

    Cited by:

    1. Barr, Jason & Saraceno, Francesco, 2005. "Cournot competition, organization and learning," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 277-295, January.
    2. Jan Wenzelburger, 2004. "Learning To Play Best Response In Duopoly Games," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 443-459.

  92. Carl Chiarella & Xue-Zhong He, 2001. "Dynamics of Beliefs and Learning Under aL Processes - The Homogeneous Case," Research Paper Series 53, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Xue-Zhong (Tony) He & Carl Chiarella, 2001. "Asset Price and Wealth Dynamics under Heterogeneous Expectations," CeNDEF Workshop Papers, January 2001 5A.2, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    2. Chiarella, Carl & He, Xue-Zhong, 2003. "Heterogeneous Beliefs, Risk, And Learning In A Simple Asset-Pricing Model With A Market Maker," Macroeconomic Dynamics, Cambridge University Press, vol. 7(4), pages 503-536, September.
    3. Maciej K. Dudek, 2005. "Expectation Formation and Endogenous Fluctuations in Aggregate Demand," Computing in Economics and Finance 2005 263, Society for Computational Economics.
    4. Carl Chiarella & Xue-Zhong He, 2001. "Dynamics of Beliefs and Learning Under aL Processes - The Heterogeneous Case," Research Paper Series 55, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Dufresne, Daniel & Vázquez-Abad, Felisa, 2012. "Cobweb theorems with production lags and price forecasting," Economics Discussion Papers 2012-17, Kiel Institute for the World Economy (IfW Kiel).
    6. Chiarella, Carl & He, Xue-Zhong & Hung, Hing & Zhu, Peiyuan, 2006. "An analysis of the cobweb model with boundedly rational heterogeneous producers," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 750-768, December.
    7. Volker Bohm & Carl Chiarella, 2000. "Mean Variance Preferences, Expectations Formation, and the Dynamics of Random Asset Prices," Research Paper Series 46, Quantitative Finance Research Centre, University of Technology, Sydney.
    8. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.

  93. Ram Bhar & Carl Chiarella & Wolfgang Runggaldier, 2001. "Estimation in Models of the Instantaneous Short Term Interest Rate By Use of a Dynamic Bayesian Algorithm," Research Paper Series 68, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Eckhard Platen & Wolfgang Runggaldier, 2002. "A Benchmark Approach to Filtering in Finance," Research Paper Series 77, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Carl Chiarella & Sara Pasquali & Wolfgang Runggaldier, 2001. "On Filtering in Markovian Term Structure Models (An Approximation Approach)," Research Paper Series 65, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Carl Chiarella & Sara Pasquali & Wolfgang J. Runggaldier, 2001. "On Filtering in Markovian Term Structure Models," World Scientific Book Chapters, in: Jiongmin Yong (ed.), Recent Developments In Mathematical Finance, chapter 12, pages 139-150, World Scientific Publishing Co. Pte. Ltd..
    4. Ram Bhar & Carl Chiarella & Hing Hung & Wolfgang Runggaldier, 2004. "The Volatility of the Instantaneous Spot Interest Rate Implied by Arbitrage Pricing - A Dynamic Bayesian Approach," Finance 0409002, University Library of Munich, Germany.

  94. Carl Chiarella & Sara Pasquali & Wolfgang Runggaldier, 2001. "On Filtering in Markovian Term Structure Models (An Approximation Approach)," Research Paper Series 65, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Eckhard Platen & Wolfgang Runggaldier, 2002. "A Benchmark Approach to Filtering in Finance," Research Paper Series 77, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Robert J. Elliott & John W. Lau & Hong Miao & Tak Kuen Siu, 2012. "Viterbi-Based Estimation for Markov Switching GARCH Model," Applied Mathematical Finance, Taylor & Francis Journals, vol. 19(3), pages 219-231, August.
    3. Gombani, Andrea & Jaschke, Stefan R. & Runggaldier, Wolfgang J., 2005. "A filtered no arbitrage model for term structures from noisy data," Stochastic Processes and their Applications, Elsevier, vol. 115(3), pages 381-400, March.
    4. Yassine El Qalli, 2010. "Recursive Bayesian Estimation In Forward Price Models Implied By Fair Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 301-333.
    5. Kyriakos Chourdakis, 2002. "Continuous Time Regime Switching Models and Applications in Estimating Processes with Stochastic Volatility and Jumps," Working Papers 464, Queen Mary University of London, School of Economics and Finance.
    6. Ram Bhar & Carl Chiarella & Wolfgang Runggaldier, 2001. "Estimation in Models of the Instantaneous Short Term Interest Rate By Use of a Dynamic Bayesian Algorithm," Research Paper Series 68, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Ram Bhar & Carl Chiarella & Hing Hung & Wolfgang Runggaldier, 2004. "The Volatility of the Instantaneous Spot Interest Rate Implied by Arbitrage Pricing - A Dynamic Bayesian Approach," Finance 0409002, University Library of Munich, Germany.

  95. Xue-Zhong (Tony) He & Carl Chiarella, 2001. "Asset Price and Wealth Dynamics under Heterogeneous Expectations," CeNDEF Workshop Papers, January 2001 5A.2, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He, 2001. "Dynamics of Beliefs and Learning Under aL Processes - The Homogeneous Case," Research Paper Series 53, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "Statistical Properties of a Heterogeneous Asset Price Model with Time-Varying Second Moment," Research Paper Series 142, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Anufriev, M. & Dindo, P.D.E., 2007. "Wealth Selection in a Financial Market with Heterogeneous Agents," CeNDEF Working Papers 07-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
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    138. Hammad A. Siddiqi, 2006. "Is it Social Influence on Beliefs Under Ambiguity? A Possible Explanation for Volatility Clustering," Microeconomics Working Papers 22279, East Asian Bureau of Economic Research.
    139. Darong Dai, 2014. "The Long-Run Behavior of Consumption and Wealth Dynamics in Complete Financial Market with Heterogeneous Investors," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-16, July.
    140. Giardina, Irene & Bouchaud, Jean-Philippe, 2003. "Volatility clustering in agent based market models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 6-16.
    141. Darong Dai, 2013. "Wealth Martingale and Neighborhood Turnpike Property In Dynamically Complete Market With Heterogeneous Investors," Economic Research Guardian, Mutascu Publishing, vol. 3(2), pages 86-110, December.
    142. Dieci, Roberto & Westerhoff, Frank, 2010. "Heterogeneous speculators, endogenous fluctuations and interacting markets: A model of stock prices and exchange rates," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 743-764, April.
    143. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
    144. Fu, Jie & Zhang, Xiaoqi & Zhou, Wenyuan & Lyu, Yang, 2024. "A continuous heterogeneous agent model for multi-asset pricing and portfolio construction under market matching friction," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 267-283.
    145. Mikhail Anufriev & Davide Radi & Fabio Tramontana, 2018. "Some reflections on past and future of nonlinear dynamics in economics and finance," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 91-118, November.
    146. Andrea Consiglio & Valerio Lacagnina & Annalisa Russino, 2005. "A simulation analysis of the microstructure of an order driven financial market with multiple securities and portfolio choices," Quantitative Finance, Taylor & Francis Journals, vol. 5(1), pages 71-87.
    147. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.
    148. Mikhail Anufriev & Giulio Bottazzi, 2005. "Price and Wealth Dynamics in a Speculative Market with an Arbitrary Number of Generic Technical Traders," LEM Papers Series 2005/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    149. Ravi Kashyap, 2019. "The Economics of Enlightenment: Time Value of Knowledge and the Net Present Value (NPV) of Knowledge Machines, A Proposed Approach Adapted from Finance," Papers 1908.03233, arXiv.org, revised Jan 2021.
    150. Youwei Li & Xue-Zhong (Tony) He, 2005. "Heterogeneity, Profitability and Autocorrelations," Computing in Economics and Finance 2005 244, Society for Computational Economics.
    151. Tai, Chung-Ching & Chen, Shu-Heng & Yang, Lee-Xieng, 2018. "Cognitive ability and earnings performance: Evidence from double auction market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 409-440.
    152. Siddiqi, Hammad, 2006. "Belief merging and revision under social influence: An explanation for the volatility clustering puzzle," MPRA Paper 657, University Library of Munich, Germany.

  96. Carl Chiarella & Xue-Zhong He, 2001. "Dynamics of Beliefs and Learning Under aL Processes - The Heterogeneous Case," Research Paper Series 55, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He, 2001. "Dynamics of Beliefs and Learning Under aL Processes - The Homogeneous Case," Research Paper Series 53, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Xue-Zhong (Tony) He & Carl Chiarella, 2001. "Asset Price and Wealth Dynamics under Heterogeneous Expectations," CeNDEF Workshop Papers, January 2001 5A.2, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    3. Huang, Weihong & Zheng, Huanhuan & Chia, Wai-Mun, 2010. "Financial crises and interacting heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 34(6), pages 1105-1122, June.
    4. Westerhoff, Frank H. & Dieci, Roberto, 2006. "The effectiveness of Keynes-Tobin transaction taxes when heterogeneous agents can trade in different markets: A behavioral finance approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 293-322, February.
    5. Carl Chiarella & Corrado Di Guilmi, 2011. "Limit Distribution of Evolving Strategies in Financial Markets," Research Paper Series 294, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. He, Xue-Zhong & Westerhoff, Frank H., 2005. "Commodity markets, price limiters and speculative price dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 29(9), pages 1577-1596, September.
    7. Ned Corron & Xue-Zhong He & Frank Westerhoff, 2007. "Butter mountains, milk lakes and optimal price limiters," Applied Economics Letters, Taylor & Francis Journals, vol. 14(15), pages 1131-1136.
    8. Carl Chiarella & Tony He & Cars H. Hommes, 2005. "A Dynamic Analysis of Moving Average Rules," Tinbergen Institute Discussion Papers 05-057/1, Tinbergen Institute.
    9. Chen, Hung-Ju & Li, Ming-Chia & Lin, Yung-Ju, 2008. "Chaotic dynamics in an overlapping generations model with myopic and adaptive expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 67(1), pages 48-56, July.
    10. Li, Y. & Donkers, A.C.D. & Melenberg, B., 2006. "The Non- and Semiparametric Analysis of MS Models : Some Applications," Other publications TiSEM c14adc9f-f490-40d6-81b7-8, Tilburg University, School of Economics and Management.
    11. Hommes, Cars & Li, Kai & Wagener, Florian, 2022. "Production delays and price dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 341-362.
    12. Athanasiou, George & Karafyllis, Iasson & Kotsios, Stelios, 2008. "Price stabilization using buffer stocks," Journal of Economic Dynamics and Control, Elsevier, vol. 32(4), pages 1212-1235, April.
    13. Tuinstra, Jan & Wegener, Michael & Westerhoff, Frank, 2014. "Positive welfare effects of trade barriers in a dynamic partial equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 246-264.
    14. Carl Chiarella & Corrado Di Guilmi, 2010. "The Financial Instability Hypothesis: A Stochastic Microfoundation Framework," Research Paper Series 273, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Xue-Zhong He, 2003. "Asset Pricing, Volatility and Market Behaviour: A Market Fraction Approach," Research Paper Series 95, Quantitative Finance Research Centre, University of Technology, Sydney.
    16. Amilon, Henrik, 2008. "Estimation of an adaptive stock market model with heterogeneous agents," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 342-362, March.
    17. He, Xue-Zhong & Li, Youwei & Zheng, Min, 2019. "Heterogeneous agent models in financial markets: A nonlinear dynamics approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 135-149.
    18. Lux, Thomas & Alfarano, Simone, 2016. "Financial power laws: Empirical evidence, models, and mechanisms," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 3-18.
    19. Michael Wegener & Frank Westerhoff, 2012. "Evolutionary competition between prediction rules and the emergence of business cycles within Metzler’s inventory model," Journal of Evolutionary Economics, Springer, vol. 22(2), pages 251-273, April.
    20. Brandouy, O., 2005. "Stock markets as Minority Games: cognitive heterogeneity and equilibrium emergence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 349(1), pages 302-328.
    21. Fabio Lamantia & Mario Pezzino, 2017. "Dynamic Analysis of Discontinuous Best Response with Innovation," Economics Discussion Paper Series 1708, Economics, The University of Manchester.
    22. Dziubiński, Marcin & Roy, Jaideep, 2012. "Popularity of reinforcement-based and belief-based learning models: An evolutionary approach," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 433-454.
    23. Chen, Hung-Ju & Li, Ming-Chia, 2008. "Productive public expenditures, expectation formations and nonlinear dynamics," Mathematical Social Sciences, Elsevier, vol. 56(1), pages 109-126, July.
    24. Chiarella, Carl & He, Xue-Zhong, 2003. "Heterogeneous Beliefs, Risk, And Learning In A Simple Asset-Pricing Model With A Market Maker," Macroeconomic Dynamics, Cambridge University Press, vol. 7(4), pages 503-536, September.
    25. Maciej K. Dudek, 2005. "Expectation Formation and Endogenous Fluctuations in Aggregate Demand," Computing in Economics and Finance 2005 263, Society for Computational Economics.
    26. Zheng, Huanhuan, 2020. "Coordinated bubbles and crashes," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    27. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    28. Lux, Thomas, 2006. "Financial power laws: Empirical evidence, models, and mechanism," Economics Working Papers 2006-12, Christian-Albrechts-University of Kiel, Department of Economics.
    29. David Goldbaum, 2016. "Divergent behavior in markets with idiosyncratic private information," Working Paper Series 34, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    30. Siddiqi, Hammad, 2007. "Rational Interacting Agents and Volatility Clustering: A New Approach," MPRA Paper 2984, University Library of Munich, Germany.
    31. Xue-Zhong He & Kai Li, 2011. "Heterogeneous Beliefs and Adaptive Behaviour in a Continuous-Time Asset Price Model," Research Paper Series 291, Quantitative Finance Research Centre, University of Technology, Sydney.
    32. Hillebrand, Marten & Wenzelburger, Jan, 2006. "On the dynamics of asset prices and portfolios in a multiperiod CAPM," Chaos, Solitons & Fractals, Elsevier, vol. 29(3), pages 578-594.
    33. Tuinstra, Jan & Wegener, Michael & Westerhoff, Frank, 2013. "Positive welfare effects of trade barriers in a dynamic equilibrium model," BERG Working Paper Series 91, Bamberg University, Bamberg Economic Research Group.
    34. Manzan, Sebastiano & Westerhoff, Frank H., 2007. "Heterogeneous expectations, exchange rate dynamics and predictability," Journal of Economic Behavior & Organization, Elsevier, vol. 64(1), pages 111-128, September.
    35. Xue-Zhong He & Youwei Li, 2015. "Testing of a Market Fraction Model and Power-Law Behaviour in the Dax 30," Research Paper Series 354, Quantitative Finance Research Centre, University of Technology, Sydney.
    36. Li, Y. & Donkers, A.C.D. & Melenberg, B., 2006. "The Econometric Analysis of Microscopic Simulation Models," Discussion Paper 2006-99, Tilburg University, Center for Economic Research.
    37. Dieci, Roberto & Westerhoff, Frank, 2010. "Interacting cobweb markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 461-481, September.
    38. Peiyuan Zhu & Carl Chiarella & Tony He, 2003. "Fading Memory Learning in the Cobweb Model with Risk Averse Heterogeneous Producers," Computing in Economics and Finance 2003 31, Society for Computational Economics.
    39. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    40. Ge Gao & Xinmin Liu & Huijun Sun & Jianjun Wu & Haiqing Liu & Wei (Walker) Wang & Zhen Wang & Tao Wang & Haoming Du, 2019. "Marginal Cost Pricing Analysis on Tradable Credits in Traffic Engineering," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-10, January.
    41. Westerhoff, Frank & Wieland, Cristian, 2010. "A behavioral cobweb-like commodity market model with heterogeneous speculators," Economic Modelling, Elsevier, vol. 27(5), pages 1136-1143, September.
    42. David Goldbaum, 2013. "Learning and Adaptation as a Source of Market Failure," Working Paper Series 14, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    43. Corrado Di Guilmi & Xue-Zhong He & Kai Li, 2013. "Herding, Trend Chasing and Market Volatility," Research Paper Series 337, Quantitative Finance Research Centre, University of Technology, Sydney.
    44. Dercole, Fabio & Radi, Davide, 2020. "Does the “uptick rule” stabilize the stock market? Insights from adaptive rational equilibrium dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    45. Chiarella, Carl & He, Xue-Zhong & Hung, Hing & Zhu, Peiyuan, 2006. "An analysis of the cobweb model with boundedly rational heterogeneous producers," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 750-768, December.
    46. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2018. "A laboratory experiment on the heuristic switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 21-42.
    47. Ke-Hung Lai & Shu-Heng Chen & Ya-Chi Huang, 2005. "Bounded Rationality and the Elasticity Puzzle: What Can We Learn from the Agent-Based Computational Consumption Capital Asset Pricing Model?," Computing in Economics and Finance 2005 207, Society for Computational Economics.
    48. Fabio Dercole & Davide Radi, 2014. "Does the "uptick rule" stabilize the stock market? Insights from Adaptive Rational Equilibrium Dynamics," Papers 1405.7747, arXiv.org.
    49. Volker Bohm & Carl Chiarella, 2000. "Mean Variance Preferences, Expectations Formation, and the Dynamics of Random Asset Prices," Research Paper Series 46, Quantitative Finance Research Centre, University of Technology, Sydney.
    50. Hammad A. Siddiqi, 2006. "Is it Social Influence on Beliefs Under Ambiguity? A Possible Explanation for Volatility Clustering," Microeconomics Working Papers 22279, East Asian Bureau of Economic Research.
    51. Chiarella, Carl & ter Ellen, Saskia & He, Xue-Zhong & Wu, Eliza, 2015. "Fear or fundamentals? Heterogeneous beliefs in the European sovereign CDS market," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 19-34.
    52. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
    53. Youwei Li & Xue-Zhong (Tony) He, 2005. "Heterogeneity, Profitability and Autocorrelations," Computing in Economics and Finance 2005 244, Society for Computational Economics.
    54. Smith, Peter, 2004. "Reworking the Standard Model of Competitive Markets: The Role of Fuzzy Logic and Genetic Algorithms in Modelling Complex Non-Linear Economic System," General Discussion Papers 30569, University of Manchester, Institute for Development Policy and Management (IDPM).
    55. Tai, Chung-Ching & Chen, Shu-Heng & Yang, Lee-Xieng, 2018. "Cognitive ability and earnings performance: Evidence from double auction market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 409-440.
    56. Siddiqi, Hammad, 2006. "Belief merging and revision under social influence: An explanation for the volatility clustering puzzle," MPRA Paper 657, University Library of Munich, Germany.

  97. Peter Flaschel & Carl Chiarella & Reiner Franke & Willi Semmler, 2001. "Output and Interest Rates. Jump Variable and Phase Diagram Switching Methodologies," CeNDEF Workshop Papers, January 2001 1B.1, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2000. "Output, Financial Markets and Growth," Working Paper Series 108, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Semmler, Willi & Zhang, Wenlang, 2007. "Asset price volatility and monetary policy rules: A dynamic model and empirical evidence," Economic Modelling, Elsevier, vol. 24(3), pages 411-430, May.

  98. Ram Bhar & Carl Chiarella & Wolfgang Runggaldier, 2001. "Filtering Equity Risk Premia From Derivative Prices," Research Paper Series 69, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Eckhard Platen & Wolfgang Runggaldier, 2002. "A Benchmark Approach to Filtering in Finance," Research Paper Series 77, Quantitative Finance Research Centre, University of Technology, Sydney.

  99. Carl Chiarella & Roberto Dieci & Laura Gardini, 2001. "Speculative Behaviour and Complex Asset Price Dynamics," Research Paper Series 49, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Stefan Reitz & Frank Westerhoff, 2007. "Commodity price cycles and heterogeneous speculators: a STAR–GARCH model," Empirical Economics, Springer, vol. 33(2), pages 231-244, September.
    2. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-varying economic dominance in financial markets: A bistable dynamics approach," Published Paper Series 2018-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "Statistical Properties of a Heterogeneous Asset Price Model with Time-Varying Second Moment," Research Paper Series 142, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Tramontana, Fabio & Westerhoff, Frank & Gardini, Laura, 2010. "On the complicated price dynamics of a simple one-dimensional discontinuous financial market model with heterogeneous interacting traders," Journal of Economic Behavior & Organization, Elsevier, vol. 74(3), pages 187-205, June.
    5. Roberto Dieci & Ilaria Foroni & Laura Gardini & Xue-Zhong He, 2005. "Market Mood, Adaptive Beliefs and Asset Price Dynamics," Research Paper Series 162, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Paul De Grauwe & Marianna Grimaldi, 2014. "Exchange Rate Puzzles: A Tale of Switching Attractors," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 3, pages 71-117, World Scientific Publishing Co. Pte. Ltd..
    7. Grosche, Stephanie & Heckelei, Thomas, 2014. "Price dynamics and financialization effects in corn futures markets with heterogeneous traders," Discussion Papers 172077, University of Bonn, Institute for Food and Resource Economics.
    8. Westerhoff Frank H. & Reitz Stefan, 2003. "Nonlinearities and Cyclical Behavior: The Role of Chartists and Fundamentalists," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-15, December.
    9. Fabio Tramontana & Laura Gardini & Roberto Dieci & Frank Westerhoff, 2009. "The Emergence of Bull and Bear Dynamics in a Nonlinear Model of Interacting Markets," Discrete Dynamics in Nature and Society, Hindawi, vol. 2009, pages 1-30, July.
    10. Palczewski, Jan & Schenk-Hoppé, Klaus Reiner & Wang, Tongya, 2016. "Itchy feet vs cool heads: Flow of funds in an agent-based financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 63(C), pages 53-68.
    11. He, Xue-Zhong & Westerhoff, Frank H., 2005. "Commodity markets, price limiters and speculative price dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 29(9), pages 1577-1596, September.
    12. Daniele Giachini, 2018. "Rationality and Asset Prices under Belief Heterogeneity," LEM Papers Series 2018/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Catherine Kyrtsou & Michel Terraza, 2003. "Is it Possible to Study Chaotic and ARCH Behaviour Jointly? Application of a Noisy Mackey–Glass Equation with Heteroskedastic Errors to the Paris Stock Exchange Returns Series," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 257-276, June.
    14. Carl Chiarella & Xue-Zhong He & Min Zheng, 2009. "Heterogeneous Expectations and Exchange Rate Dynamics," Research Paper Series 243, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Min Zheng & Duo Wang & Xue-Zhong He, 2009. "Asymmetry of technical analysis and market price volatility," Published Paper Series 2009-6, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    16. Arnold, Lutz G. & Brunner, Stephan, 2015. "The economics of rational speculation in the presence of positive feedback trading," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 161-174.
    17. Orlando Gomes, 2006. "Routes to chaos in macroeconomic theory," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 33(6), pages 437-468, November.
    18. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental, pessimistic and overconfident traders: a piecewise-linear maps approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 707-726, December.
    19. Sansone, Alessandro & Garofalo, Giuseppe, 2007. "Asset price dynamics in a financial market with heterogeneous trading strategies and time delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 247-257.
    20. Catherine Kyrtsou & Michel Terraza, 2010. "Seasonal Mackey–Glass–GARCH process and short-term dynamics," Empirical Economics, Springer, vol. 38(2), pages 325-345, April.
    21. Frank H. Westerhoff, 2009. "Exchange Rate Dynamics: A Nonlinear Survey," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 11, Edward Elgar Publishing.
    22. Dieci, Roberto & Westerhoff, Frank, 2011. "On the inherent instability of international financial markets: Natural nonlinear interactions between stock and foreign exchange markets," BERG Working Paper Series 79, Bamberg University, Bamberg Economic Research Group.
    23. Hau, Harald, 2002. "Real Exchange Rate Volatility and Economic Openness: Theory and Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(3), pages 611-630, August.
    24. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "A Behavioural Asset Pricing Model with a Time-Varying Second Moment," Research Paper Series 141, Quantitative Finance Research Centre, University of Technology, Sydney.
    25. Pan, Huiran & Wang, Chun, 2013. "House prices, bank instability, and economic growth: Evidence from the threshold model," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1720-1732.
    26. Xue-Zhong He, 2003. "Asset Pricing, Volatility and Market Behaviour: A Market Fraction Approach," Research Paper Series 95, Quantitative Finance Research Centre, University of Technology, Sydney.
    27. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
    28. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    29. Roberto Dieci & Frank Westerhoff, 2012. "A simple model of a speculative housing market," Journal of Evolutionary Economics, Springer, vol. 22(2), pages 303-329, April.
    30. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-Varying Economic Dominance Through Bistable Dynamics," Research Paper Series 390, Quantitative Finance Research Centre, University of Technology, Sydney.
    31. He, Xue-Zhong & Li, Youwei & Zheng, Min, 2019. "Heterogeneous agent models in financial markets: A nonlinear dynamics approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 135-149.
    32. Carl Chiarella & Roberto Dieci & Laura Gardini, 2005. "The Dynamic Interaction of Speculation and Diversification," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(1), pages 17-52.
    33. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    34. Andrew Foster & Natasha Kirby, 2011. "Analysis of a Heterogeneous Trader Model for Asset Price Dynamics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2011, pages 1-12, October.
    35. Paul De Grauwe & Marianna Grimaldi, 2014. "Heterogeneity of Agents, Transactions Costs and the Exchange Rate," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 2, pages 33-70, World Scientific Publishing Co. Pte. Ltd..
    36. Heemeijer, Peter & Hommes, Cars & Sonnemans, Joep & Tuinstra, Jan, 2009. "Price stability and volatility in markets with positive and negative expectations feedback: An experimental investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1052-1072, May.
    37. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    38. Frank H. Westerhoff & Cristian Wieland, 2004. "Spillover Dynamics of Central Bank Interventions," German Economic Review, Verein für Socialpolitik, vol. 5(4), pages 435-450, November.
    39. Mikhail Anufriev & Giulio Bottazzi & Francesca Pancotto, 2004. "Price and Wealth Asymptotic Dynamics with CRRA Technical Trading Strategies," LEM Papers Series 2004/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    40. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2005. "Heterogeneous Expectations and Speculative Behaviour in a Dynamic Multi-Asset Framework," Research Paper Series 166, Quantitative Finance Research Centre, University of Technology, Sydney.
    41. De Grauwe, Paul & Grimaldi, Marianna, 2004. "Bubbles and Crashes in a Behavioural Finance Model," Working Paper Series 164, Sveriges Riksbank (Central Bank of Sweden).
    42. Alessio Emanuele Biondo & Domenico Delli Gatti, 2024. "Introduction to the special issue on two editions of the workshop on economic science with heterogeneous interacting agents, $$24.5{\text {th}}$$ 24.5 th Milan, 2021 (wehia 2021) $$25{\text {th}}$$ 25," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(4), pages 579-585, October.
    43. Anufriev, Mikhail & Bottazzi, Giulio & Pancotto, Francesca, 2006. "Equilibria, stability and asymptotic dominance in a speculative market with heterogeneous traders," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1787-1835.
    44. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    45. Simon Cramer & Torsten Trimborn, 2019. "Stylized Facts and Agent-Based Modeling," Papers 1912.02684, arXiv.org.
    46. Carl Chiarella & Roberto Dieci, 2004. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Computing in Economics and Finance 2004 261, Society for Computational Economics.
    47. Zheng, Min & Liu, Ruipeng & Li, Youwei, 2018. "Long memory in financial markets: A heterogeneous agent model perspective," MPRA Paper 84886, University Library of Munich, Germany.
    48. Schmitt, Noemi & Westerhoff, Frank, 2013. "Speculative behavior and the dynamics of interacting stock markets," BERG Working Paper Series 90, Bamberg University, Bamberg Economic Research Group.
    49. Thomas Lux, 2009. "Applications of Statistical Physics in Finance and Economics," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 9, Edward Elgar Publishing.
    50. Taisei Kaizoji, 2003. "Speculative bubbles and fat tail phenomena in a heterogeneous agent model," Papers nlin/0312040, arXiv.org.
    51. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.
    52. Wang, Luxuan & Niu, Ben & Wei, Junjie, 2016. "Dynamical analysis for a model of asset prices with two delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 297-313.
    53. Bischi, Gian-Italo & Gallegati, Mauro & Gardini, Laura & Leombruni, Roberto & Palestrini, Antonio, 2006. "Herd Behavior And Nonfundamental Asset Price Fluctuations In Financial Markets," Macroeconomic Dynamics, Cambridge University Press, vol. 10(4), pages 502-528, September.
    54. Ke, Xiaoling & Shi, Ke, 2009. "Stability and bifurcation in a simple heterogeneous asset pricing model," Economic Modelling, Elsevier, vol. 26(3), pages 680-688, May.
    55. Chia-Hsuan Yeh & Chun-Yi Yang, 2013. "Do price limits hurt the market?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 125-153, April.
    56. Carl Chiarella & Roberto Died & Laura Gardini, 2005. "Asset Price Dynamics and Diversification with Heterogeneous Agents," Lecture Notes in Economics and Mathematical Systems, in: Thomas Lux & Eleni Samanidou & Stefan Reitz (ed.), Nonlinear Dynamics and Heterogeneous Interacting Agents, pages 251-267, Springer.
    57. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    58. Naimzada, Ahmad K. & Ricchiuti, Giorgio, 2009. "Dynamic effects of increasing heterogeneity in financial markets," Chaos, Solitons & Fractals, Elsevier, vol. 41(4), pages 1764-1772.
    59. Xue-Zhong He & Kai Li, 2011. "Heterogeneous Beliefs and Adaptive Behaviour in a Continuous-Time Asset Price Model," Research Paper Series 291, Quantitative Finance Research Centre, University of Technology, Sydney.
    60. Adam Majewski & Stefano Ciliberti & Jean-Philippe Bouchaud, 2018. "Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model," Papers 1807.11751, arXiv.org.
    61. Lines, Marji & Westerhoff, Frank, 2010. "Inflation expectations and macroeconomic dynamics: The case of rational versus extrapolative expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 246-257, February.
    62. Ahmad Naimzada & Giorgio Ricchiuti, 2006. "Heterogeneous Fundamentalists and Imitative Processes," Working Papers 104, University of Milano-Bicocca, Department of Economics, revised Nov 2006.
    63. Ming Pu & Gang-Zhi Fan & Seow Ong, 2012. "Heterogeneous Agents and the Indifference Pricing of Property Index Linked Swaps," The Journal of Real Estate Finance and Economics, Springer, vol. 44(4), pages 543-569, May.
    64. Yankou Diasso, 2014. "Dynamique du prix international du coton : aléas, aversion au risque et chaos," Recherches économiques de Louvain, De Boeck Université, vol. 80(4), pages 53-86.
    65. Kyrtsou, Catherine & Terraza, Michel, 2002. "Stochastic chaos or ARCH effects in stock series?: A comparative study," International Review of Financial Analysis, Elsevier, vol. 11(4), pages 407-431.
    66. Ghassan Dibeh & Haidar Harmanani, 2012. "A Stochastic Chartist–Fundamentalist Model with Time Delays," Computational Economics, Springer;Society for Computational Economics, vol. 40(2), pages 105-113, August.
    67. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    68. Ying Qu & Junjie Wei, 2010. "Global Hopf Bifurcation Analysis for a Time-Delayed Model of Asset Prices," Discrete Dynamics in Nature and Society, Hindawi, vol. 2010, pages 1-17, March.
    69. T. Kaizoji & M. Leiss & A. Saichev & D. Sornette, 2011. "Super-exponential endogenous bubbles in an equilibrium model of rational and noise traders," Papers 1109.4726, arXiv.org, revised Mar 2014.
    70. Yu, Tongkui & Li, Honggang, 2008. "Dynamic Regimes of a Multi-agent Stock Market Model," MPRA Paper 14339, University Library of Munich, Germany.
    71. Ghassan Dibeh & Omar El Deeb, 2024. "Synchronization in a market model with time delays," Papers 2405.00046, arXiv.org.
    72. Fabio Tramontana & Laura Gardini & Frank Westerhoff, 2011. "Heterogeneous Speculators and Asset Price Dynamics: Further Results from a One-Dimensional Discontinuous Piecewise-Linear Map," Computational Economics, Springer;Society for Computational Economics, vol. 38(3), pages 329-347, October.
    73. Hommes, Cars & Huang, Hai & Wang, Duo, 2005. "A robust rational route to randomness in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 29(6), pages 1043-1072, June.
    74. Xue-Zhong He & Youwei Li, 2005. "Long Memory, Heterogeneity and Trend Chasing," Research Paper Series 148, Quantitative Finance Research Centre, University of Technology, Sydney.
    75. Xue-Zhong He & Youwei Li, 2015. "Testing of a Market Fraction Model and Power-Law Behaviour in the Dax 30," Research Paper Series 354, Quantitative Finance Research Centre, University of Technology, Sydney.
    76. Carl Chiarella & Roberto Dieci & Tony He, 2006. "Aggregation of Heterogeneous Beliefs and Asset Pricing: A Mean-Variance Analysis," Computing in Economics and Finance 2006 108, Society for Computational Economics.
    77. Andrasik Ladislav, 2015. "Computational Qualitative Economics – Using Computational Intelligence for Andvanced Learning of Economics in Knowledge Society," Creative and Knowledge Society, Sciendo, vol. 5(2), pages 1-15, December.
    78. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Kiel Working Papers 1426, Kiel Institute for the World Economy (IfW Kiel).
    79. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Economics Working Papers 2008-08, Christian-Albrechts-University of Kiel, Department of Economics.
    80. Majewski, Adam A. & Ciliberti, Stefano & Bouchaud, Jean-Philippe, 2020. "Co-existence of trend and value in financial markets: Estimating an extended Chiarella model," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    81. Westerhoff, Frank & Wieland, Cristian, 2010. "A behavioral cobweb-like commodity market model with heterogeneous speculators," Economic Modelling, Elsevier, vol. 27(5), pages 1136-1143, September.
    82. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    83. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    84. Shi-Nan Cao & Jing Deng & Honggang Li, 2010. "Prospect theory and risk appetite: an application to traders’ strategies in the financial market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(2), pages 249-259, December.
    85. de Jong, Eelke & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2009. "Behavioural heterogeneity and shift-contagion: Evidence from the Asian crisis," Journal of Economic Dynamics and Control, Elsevier, vol. 33(11), pages 1929-1944, November.
    86. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    87. Yuri Yegorov, 2003. "Dynamics of Interest Rate and Spanish Housing Markets," ERES eres2003_301, European Real Estate Society (ERES).
    88. Carl Chiarella & Roberto Dieci & Laura Gardini, 2003. "A Dynamic Analysis of Speculation Across Two Markets," Research Paper Series 89, Quantitative Finance Research Centre, University of Technology, Sydney.
    89. Dibeh, Ghassan & Harmanani, Haidar M., 2007. "Option pricing during post-crash relaxation times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 357-365.
    90. Loretti I. Dobrescu & Mihaela Neamtu & Gabriela Mircea, 2016. "Asset Price Dynamics in a Chartist-Fundamentalist Model with Time Delays: A Bifurcation Analysis," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-15, February.
    91. Dibeh, Ghassan, 2005. "Speculative dynamics in a time-delay model of asset prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 199-208.
    92. Zhu, Mei & Chiarella, Carl & He, Xue-Zhong & Wang, Duo, 2009. "Does the market maker stabilize the market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(15), pages 3164-3180.
    93. Agliari, Anna & Dieci, Roberto & Gardini, Laura, 2007. "Homoclinic tangles in a Kaldor-like business cycle model," Journal of Economic Behavior & Organization, Elsevier, vol. 62(3), pages 324-347, March.
    94. Carl Chiarella & Xue-Zhong He & Paolo Pellizzari, 2009. "A Dynamic Analysis of the Microstructure of Moving Average Rules in a Double Auction Market," Research Paper Series 251, Quantitative Finance Research Centre, University of Technology, Sydney.
    95. Catherine Kyrtsou & Michel Terraza, 2000. "Is It Possible To Study Jointly Chaotic And Arch Behaviour? Application Of A Noisy Mackey-Glass Equation With Heteroskedastic Errors To The Paris Stock Exchange," Computing in Economics and Finance 2000 Z226, Society for Computational Economics.
    96. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585, March.
    97. Catherine Kyrtsou & Walter C. Labys & Michel Terraza, 2004. "Noisy chaotic dynamics in commodity markets," Empirical Economics, Springer, vol. 29(3), pages 489-502, September.
    98. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2020. "Robust Mathematical Formulation And Probabilistic Description Of Agent-Based Computational Economic Market Models," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 23(06), pages 1-41, September.
    99. Frank Westerhoff, 2003. "Multi-Asset Market Dynamics," Computing in Economics and Finance 2003 88, Society for Computational Economics.
    100. Torsten Trimborn & Philipp Otte & Simon Cramer & Max Beikirch & Emma Pabich & Martin Frank, 2018. "SABCEMM-A Simulator for Agent-Based Computational Economic Market Models," Papers 1801.01811, arXiv.org, revised Oct 2018.
    101. Yeh, Chia-Hsuan & Yang, Chun-Yi, 2010. "Examining the effectiveness of price limits in an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2089-2108, October.
    102. Dick, Christian D. & Menkhoff, Lukas, 2012. "Exchange rate expectations of chartists and fundamentalists," ZEW Discussion Papers 12-026, ZEW - Leibniz Centre for European Economic Research.
    103. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
    104. Taisei Kaizoji, 2003. "Intermittent chaos in a model of financial markets with heterogeneous agents," Papers nlin/0312065, arXiv.org.
    105. Giovanni Campisi & Silvia Muzzioli, 2020. "Investor sentiment and trading behavior," Department of Economics 0163, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    106. Grosche, Stephanie, 2012. "Limitations of Granger Causality Analysis to assess the price effects from the financialization of agricultural commodity markets under bounded rationality," Discussion Papers 121868, University of Bonn, Institute for Food and Resource Economics.
    107. Constantinos VORLOW & Antonios ANTONIOU & Catherine KYRTSOU, 2004. "Surrogate Data Analysis and Stochastic Chaotic Modelling: Application to Stock Exchange Returns Series," Computing in Economics and Finance 2004 27, Society for Computational Economics.
    108. Torsten Trimborn & Philipp Otte & Simon Cramer & Maximilian Beikirch & Emma Pabich & Martin Frank, 2020. "SABCEMM: A Simulator for Agent-Based Computational Economic Market Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 707-744, February.
    109. Gian Italo Bischi & Fabio Lamantia & Davide Radi, 2018. "Evolutionary oligopoly games with heterogeneous adaptive players," Chapters, in: Luis C. Corchón & Marco A. Marini (ed.), Handbook of Game Theory and Industrial Organization, Volume I, chapter 12, pages 343-370, Edward Elgar Publishing.
    110. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    111. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental and pessimistic traders: a piecewise-linear maps approach," Department of Economics 0186, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    112. Frank Westerhoff & Cristian Wieland, "undated". "Exchange rate dynamics, central bank interventions and chaos control methods," Modeling, Computing, and Mastering Complexity 2003 22, Society for Computational Economics.
    113. Orlando Gomes, 2010. "Consumer confidence, endogenous growth and endogenous cycles," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(4), pages 377-404, September.
    114. Vinod Cheriyan & Anton J. Kleywegt, 2016. "A dynamical systems model of price bubbles and cycles," Quantitative Finance, Taylor & Francis Journals, vol. 16(2), pages 309-336, February.
    115. Cafferata, Alessia & Tramontana, Fabio, 2019. "A financial market model with confirmation bias," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 252-259.
    116. Westerhoff, Frank, 2003. "Speculative markets and the effectiveness of price limits," Journal of Economic Dynamics and Control, Elsevier, vol. 28(3), pages 493-508, December.
    117. Westerhoff, Frank, 2009. "A simple agent-based financial market model: Direct interactions and comparisons of trading profits," BERG Working Paper Series 61, Bamberg University, Bamberg Economic Research Group.
    118. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.
    119. Dibeh, Ghassan, 2007. "Contagion effects in a chartist–fundamentalist model with time delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 52-57.
    120. Dieci, Roberto & Westerhoff, Frank, 2010. "Heterogeneous speculators, endogenous fluctuations and interacting markets: A model of stock prices and exchange rates," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 743-764, April.
    121. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
    122. Carl Chiarella & Xue-Zhong He & Min Zheng, 2007. "The Stochastic Dynamics of Speculative Prices," Research Paper Series 208, Quantitative Finance Research Centre, University of Technology, Sydney.
    123. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2019. "Robust Mathematical Formulation and Probabilistic Description of Agent-Based Computational Economic Market Models," Papers 1904.04951, arXiv.org, revised Mar 2021.
    124. Marianna Grimaldi & Paul De Grauwe, 2003. "Bubbling and Crashing Exchange Rates," CESifo Working Paper Series 1045, CESifo.
    125. Youwei Li & Xue-Zhong (Tony) He, 2005. "Heterogeneity, Profitability and Autocorrelations," Computing in Economics and Finance 2005 244, Society for Computational Economics.
    126. Hommes, C.H. & Huang, H. & Wang, D., 2002. "A Robust Rational Route to in a Simple Asset Pricing Model," CeNDEF Working Papers 02-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

  100. Carl Chiarella & Peter Flaschel & Willi Semmler, 2001. "Real-Financial Interaction: A Reconsideration of the Blanchard Model with a State-of-Market Dependent Reaction Coefficient," Working Paper Series 111, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2002. "Stability Analysis of a High-Dimensional Macrodynamic Model of Real-Financial Interaction: A Cascade of Matrices Approach," Working Paper Series 123, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Chiarella Carl & Semmler Willi & Mittnik Stefan & Zhu Peiyuan, 2002. "Stock Market, Interest Rate and Output: A Model and Estimation for US Time Series Data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(1), pages 1-39, April.
    3. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2001. "Real-Financial Interaction: Integrating Supply Side Wage-Price Dynamics and the Stock Market," Working Paper Series 112, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Carl Chiarella & Peter Flaschel & Willi Semmler, 2003. "Real-Financial Interaction: Implications of Budget Equations and Capital Accumulation," Working Paper Series 127, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. F. Cavalli & A. Naimzada & N. Pecora, 2022. "A stylized macro-model with interacting real, monetary and stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 225-257, January.
    6. Willi Semmler, 2006. "Asset Prices, Booms and Recessions," Springer Books, Springer, edition 0, number 978-3-540-24696-1, March.
    7. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2003. "Output and the Term Structure of Interest Rates: Ways Out of th Jump-Variable Conundrum," Working Paper Series 125, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  101. Carl Chiarella & Oh-Kang Kwon, 2001. "State Variables and the Affine Nature of Markovian HJM Term Structure Models," Research Paper Series 52, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Falini, Jury, 2010. "Pricing caps with HJM models: The benefits of humped volatility," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1358-1367, December.
    2. Jury Falini, 2009. "Pricing caps with HJM models: the benefits of humped volatility," Department of Economics University of Siena 563, Department of Economics, University of Siena.

  102. Volker Bohm & Carl Chiarella, 2000. "Mean Variance Preferences, Expectations Formation, and the Dynamics of Random Asset Prices," Research Paper Series 46, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Wenzelburger, Jan, 2008. "A Note on the Two-fund Separation Theorem," MPRA Paper 11014, University Library of Munich, Germany, revised 31 Sep 2008.
    2. Enrico De Giorgi, "undated". "Evolutionary Portfolio Selection with Liquidity Shocks," IEW - Working Papers 185, Institute for Empirical Research in Economics - University of Zurich.
    3. Chiarella, Carl & He, Xue-Zhong & Wang, Duo & Zheng, Min, 2008. "The stochastic bifurcation behaviour of speculative financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3837-3846.
    4. Ulrich Horst & Jan Wenzelburger, 2008. "On non-ergodic asset prices," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 34(2), pages 207-234, February.
    5. Marten Hillebrand, 2008. "Pension Systems, Demographic Change, and the Stock Market," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-540-77972-8, December.
    6. Tomoo Kikuchi, 2006. "Risk, Nonconvergence and Cycles: A Two-Country Model," DEGIT Conference Papers c011_016, DEGIT, Dynamics, Economic Growth, and International Trade.
    7. Xue‐Zhong He & Lei Shi, 2012. "Boundedly rational equilibrium and risk premium," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 71-93, March.
    8. Branch, William A. & Evans, George W., 2010. "Learning about Risk and Return: A Simple Model of Bubbles and Crashes," SIRE Discussion Papers 2010-33, Scottish Institute for Research in Economics (SIRE).
    9. Carl Chiarella & Roberto Dieci & Laura Gardini, 2005. "The Dynamic Interaction of Speculation and Diversification," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(1), pages 17-52.
    10. Lei Shi, 2010. "Portfolio Analysis and Equilibrium Asset Pricing with Heterogeneous Beliefs," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2010, January-A.
    11. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2005. "Heterogeneous Expectations and Speculative Behaviour in a Dynamic Multi-Asset Framework," Research Paper Series 166, Quantitative Finance Research Centre, University of Technology, Sydney.
    12. Jan Wenzelburger, 2013. "Risk sharing in a financial market with endogenous option prices," The European Journal of Finance, Taylor & Francis Journals, vol. 19(6), pages 491-517, July.
    13. Chiarella, Carl & He, Xue-Zhong & Zheng, Min, 2011. "An analysis of the effect of noise in a heterogeneous agent financial market model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 148-162, January.
    14. Bernhard Eckwert & Burkhard Drees, 2006. "Implications of Better Information for Technological Development and Welfare," EcoMod2006 272100022, EcoMod.
    15. Cui, Xin & Sensoy, Ahmet & Nguyen, Duc Khuong & Yao, Shouyu & Wu, Yiyao, 2022. "Positive information shocks, investor behavior and stock price crash risk," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 493-518.
    16. Ulrich Horst & Jan Wezelburger, 2006. "Non-ergodic Behavior in a Financial Market with Interacting Investors," 2006 Meeting Papers 229, Society for Economic Dynamics.
    17. Kikuchi, Tomoo, 2008. "International asset market, nonconvergence, and endogenous fluctuations," Journal of Economic Theory, Elsevier, vol. 139(1), pages 310-334, March.
    18. Jan Wenzelburger & Volker Boehm, 2004. "On the performance of efficient portfolios," Computing in Economics and Finance 2004 197, Society for Computational Economics.
    19. Zhu, Mei & Wang, Duo & Guo, Maozheng, 2011. "Stochastic equilibria of an asset pricing model with heterogeneous beliefs and random dividends," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 131-147, January.
    20. Hillebrand, Marten & Wenzelburger, Jan, 2006. "On the dynamics of asset prices and portfolios in a multiperiod CAPM," Chaos, Solitons & Fractals, Elsevier, vol. 29(3), pages 578-594.
    21. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    22. Ivan Jericevich & Patrick Chang & Tim Gebbie, 2021. "Simulation and estimation of an agent-based market-model with a matching engine," Papers 2108.07806, arXiv.org, revised Aug 2021.
    23. Carl Chiarella & Roberto Dieci & Tony He, 2006. "Aggregation of Heterogeneous Beliefs and Asset Pricing: A Mean-Variance Analysis," Computing in Economics and Finance 2006 108, Society for Computational Economics.
    24. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    25. Carl Chiarella & Roberto Dieci & Laura Gardini & Lucia Sbragia, 2008. "A Model of Financial Market Dynamics with Heterogeneous Beliefs and State-Dependent Confidence," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 55-72, September.
    26. Shapiro, Dmitry, 2009. "Evolution of heterogeneous beliefs and asset overvaluation," Journal of Mathematical Economics, Elsevier, vol. 45(3-4), pages 277-292, March.
    27. Hillebrand, Marten & Wenzelburger, Jan, 2006. "The impact of multiperiod planning horizons on portfolios and asset prices in a dynamic CAPM," Journal of Mathematical Economics, Elsevier, vol. 42(4-5), pages 565-593, August.
    28. Carl Chiarella & Xue-Zhong He & Roberto Dieci & University of Technology Sydney, 2006. "A Dynamic Heterogeneous Beliefs CAPM," Computing in Economics and Finance 2006 181, Society for Computational Economics.
    29. Böhm, Volker & Wenzelburger, Jan, 2002. "Perfect Predictions In Economic Dynamical Systems With Random Perturbations," Macroeconomic Dynamics, Cambridge University Press, vol. 6(5), pages 687-712, November.
    30. Jan Wenzelburger, 2010. "The two-fund separation theorem revisited," Annals of Finance, Springer, vol. 6(2), pages 221-239, March.
    31. Xue-Zhong He & Lei Shi, 2010. "Differences in Opinion and Risk Premium," Research Paper Series 271, Quantitative Finance Research Centre, University of Technology, Sydney.
    32. Andreas Pyka & Uwe Cantner & Alfred Greiner & Thomas Kuhn (ed.), 2009. "Recent Advances in Neo-Schumpeterian Economics," Books, Edward Elgar Publishing, number 12982, March.
    33. Erhan Bayraktar & Ulrich Horst & Ronnie Sircar, 2007. "Queueing Theoretic Approaches to Financial Price Fluctuations," Papers math/0703832, arXiv.org.
    34. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    35. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.
    36. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
    37. Carl Chiarella & Xue-Zhong He & Min Zheng, 2007. "The Stochastic Dynamics of Speculative Prices," Research Paper Series 208, Quantitative Finance Research Centre, University of Technology, Sydney.
    38. Youwei Li & Xue-Zhong (Tony) He, 2005. "Heterogeneity, Profitability and Autocorrelations," Computing in Economics and Finance 2005 244, Society for Computational Economics.
    39. Wenzelburger, Jan, 2004. "Learning to predict rationally when beliefs are heterogeneous," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 2075-2104, September.

  103. Carl Chiarella & Xue-Zhong He, 2000. "Stability of Competitive Equilibria with Heterogeneous Beliefs and Learning," Research Paper Series 37, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Gaunersdorfer, A. & Hommes, C.H. & Wagener, F.O.O., 2003. "Nonlocal onset of instability in an asset pricing model with heterogeneous agents," CeNDEF Working Papers 03-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    2. Vivaldo M. Mendes & Diana A. Mendes, 2006. "Active Interest Rate Rules and the Role of Stabilization Policy R&D Tax Credits," Working Papers Series 1 ercwp0208, ISCTE-IUL, Business Research Unit (BRU-IUL).
    3. Orlando Gomes, 2010. "Ordinary Least Squares Learning And Nonlinearities In Macroeconomics," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 52-84, February.
    4. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2001. "Evolutionary Dynamics in Financial Markets With Many Trader Types," CeNDEF Working Papers 01-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    5. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2002. "Evolutionary dynamics in markets with many trader types," CeNDEF Working Papers 02-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    6. Vivaldo M. Mendes & Diana A. Mendes & José Sousa Ramos, 2008. "Symbolic Dynamics and Control in a Matching Labor Market Model," Working Papers Series 1 ercwp1308, ISCTE-IUL, Business Research Unit (BRU-IUL).
    7. Chiarella, Carl & He, Xue-Zhong & Hung, Hing & Zhu, Peiyuan, 2006. "An analysis of the cobweb model with boundedly rational heterogeneous producers," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 750-768, December.
    8. Volker Bohm & Carl Chiarella, 2000. "Mean Variance Preferences, Expectations Formation, and the Dynamics of Random Asset Prices," Research Paper Series 46, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Fabio Tramontana, 2013. "The role of cognitively biased imitators in a small scale agent-based financial market," DEM Working Papers Series 029, University of Pavia, Department of Economics and Management.

  104. Carl Chiarella & Xue-Zhong He, 2000. "Heterogeneous Beliefs, Risk and Learning in a Simple Asset Pricing Model with a Market Maker," Research Paper Series 35, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "Statistical Properties of a Heterogeneous Asset Price Model with Time-Varying Second Moment," Research Paper Series 142, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Christopher Gibbs, 2015. "Forecast Combination, Non-linear Dynamics, and the Macroeconomy," Discussion Papers 2015-05, School of Economics, The University of New South Wales.
    3. Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
    4. Xue-Zhong (Tony) He & Carl Chiarella, 2001. "Asset Price and Wealth Dynamics under Heterogeneous Expectations," CeNDEF Workshop Papers, January 2001 5A.2, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    5. Cars H. Hommes, 2001. "Financial Markets as Nonlinear Adaptive Evolutionary Systems," Tinbergen Institute Discussion Papers 01-014/1, Tinbergen Institute.
    6. Roberto Dieci & Ilaria Foroni & Laura Gardini & Xue-Zhong He, 2005. "Market Mood, Adaptive Beliefs and Asset Price Dynamics," Research Paper Series 162, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Fabio Tramontana & Laura Gardini & Roberto Dieci & Frank Westerhoff, 2009. "The Emergence of Bull and Bear Dynamics in a Nonlinear Model of Interacting Markets," Discrete Dynamics in Nature and Society, Hindawi, vol. 2009, pages 1-30, July.
    8. Dawid, Herbert & Harting, Philipp & Neugart, Michael & Hoog, Sander van der, 2019. "Macroeconomics with heterogeneous agent models: fostering transparency, reproducibility and replication," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 113126, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Raquel Almeida Ramos & Federico Bassi & Dany Lang, 2020. "Bet against the trend and cash in profits," Working Papers halshs-02956879, HAL.
    10. Federico Bassi & Dany Lang & Raquel Almeida Ramos, 2023. "Bet against the trend and cash in profits: An agent‑based model of endogenous fluctuations of exchange rates," Post-Print hal-04428234, HAL.
    11. Mazzarisi, Piero & Lillo, Fabrizio & Marmi, Stefano, 2019. "When panic makes you blind: A chaotic route to systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 176-199.
    12. Carl Chiarella & Tony He & Cars H. Hommes, 2005. "A Dynamic Analysis of Moving Average Rules," Tinbergen Institute Discussion Papers 05-057/1, Tinbergen Institute.
    13. Xue-Zhong He & Min Zheng, 2010. "Dynamics of Moving Average Rules in a Continuous-time Financial Market Model," Research Paper Series 268, Quantitative Finance Research Centre, University of Technology, Sydney.
    14. Sandrine Jacob Leal & Mauro Napoletano, 2019. "Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading," SciencePo Working papers Main hal-03403589, HAL.
    15. Min Zheng & Duo Wang & Xue-Zhong He, 2009. "Asymmetry of technical analysis and market price volatility," Published Paper Series 2009-6, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    16. Orlando Gomes, 2006. "Routes to chaos in macroeconomic theory," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 33(6), pages 437-468, November.
    17. Peter Flaschel & Matthieu Charpe & Giorgos Galanis & Christian R. Proaño & Roberto Veneziani, 2017. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," IMK Working Paper 186-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    18. Sansone, Alessandro & Garofalo, Giuseppe, 2007. "Asset price dynamics in a financial market with heterogeneous trading strategies and time delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 247-257.
    19. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "A Behavioural Asset Pricing Model with a Time-Varying Second Moment," Research Paper Series 141, Quantitative Finance Research Centre, University of Technology, Sydney.
    20. Xue-Zhong He, 2003. "Asset Pricing, Volatility and Market Behaviour: A Market Fraction Approach," Research Paper Series 95, Quantitative Finance Research Centre, University of Technology, Sydney.
    21. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
    22. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    23. He, Xue-Zhong & Li, Youwei & Zheng, Min, 2019. "Heterogeneous agent models in financial markets: A nonlinear dynamics approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 135-149.
    24. Zhang, Qian & Li, Zeguang, 2021. "Time-varying risk attitude and the foreign exchange market behavior," Research in International Business and Finance, Elsevier, vol. 57(C).
    25. Carl Chiarella & Roberto Dieci & Laura Gardini, 2005. "The Dynamic Interaction of Speculation and Diversification," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(1), pages 17-52.
    26. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    27. Andrew Foster & Natasha Kirby, 2011. "Analysis of a Heterogeneous Trader Model for Asset Price Dynamics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2011, pages 1-12, October.
    28. Miloslav Vošvrda & Lukáš Vácha, 2007. "Heterogeneous Agents Model with the Worst Out Algorithm," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 1(1), pages 54-66, March.
    29. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    30. Mikhail Anufriev & Giulio Bottazzi & Francesca Pancotto, 2004. "Price and Wealth Asymptotic Dynamics with CRRA Technical Trading Strategies," LEM Papers Series 2004/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    31. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2005. "Heterogeneous Expectations and Speculative Behaviour in a Dynamic Multi-Asset Framework," Research Paper Series 166, Quantitative Finance Research Centre, University of Technology, Sydney.
    32. Radu T. Pruna & Maria Polukarov & Nicholas R. Jennings, 2020. "Loss aversion in an agent-based asset pricing model," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 275-290, February.
    33. Di Guilmi, Corrado & Galanis, Giorgos & Proaño, Christian R., 2023. "A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 50-67.
    34. Miloslav Vošvrda & Lukáš Vácha, 2003. "Heterogeneous agent model with memory and asset price behaviour," Prague Economic Papers, Prague University of Economics and Business, vol. 2003(2), pages 155-168.
    35. Carl Chiarella & Roberto Dieci, 2004. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Computing in Economics and Finance 2004 261, Society for Computational Economics.
    36. Zheng, Min & Liu, Ruipeng & Li, Youwei, 2018. "Long memory in financial markets: A heterogeneous agent model perspective," MPRA Paper 84886, University Library of Munich, Germany.
    37. Sandrine Jacob Leal, 2013. "Momentum effect in individual stocks and heterogeneous beliefs among fundamentalists," Economics Bulletin, AccessEcon, vol. 33(4), pages 3102-3116.
    38. Chiarella, Carl & He, Xue-Zhong, 2003. "Heterogeneous Beliefs, Risk, And Learning In A Simple Asset-Pricing Model With A Market Maker," Macroeconomic Dynamics, Cambridge University Press, vol. 7(4), pages 503-536, September.
    39. Orlando Gomes, 2010. "Ordinary Least Squares Learning And Nonlinearities In Macroeconomics," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 52-84, February.
    40. Thorsten Lehnert & Bart Frijns & Remco Zwinkels, 2009. "Behavioral Heterogeneity in the Option Market," LSF Research Working Paper Series 09-07, Luxembourg School of Finance, University of Luxembourg.
    41. Zheng, Huanhuan, 2020. "Coordinated bubbles and crashes," Journal of Economic Dynamics and Control, Elsevier, vol. 120(C).
    42. Changtai Li & Weihong Huang & Wei-Siang Wang & Wai-Mun Chia, 2023. "Price Change and Trading Volume: Behavioral Heterogeneity in Stock Market," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 677-713, February.
    43. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    44. Te Bao & Brice Corgnet & Nobuyuki Hanaki & Yohanes E. Riyanto & Jiahua Zhu, 2023. "Predicting the unpredictable : New experimental evidence on forecasting random walks," Post-Print hal-04376053, HAL.
    45. Lukáš Vácha & Miloslav Vošvrda, 2006. "Wavelet Applications to Heterogeneous Agents Model," Working Papers IES 2006/21, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2006.
    46. Ke, Xiaoling & Shi, Ke, 2009. "Stability and bifurcation in a simple heterogeneous asset pricing model," Economic Modelling, Elsevier, vol. 26(3), pages 680-688, May.
    47. Vacha, Lukas & Barunik, Jozef & Vosvrda, Miloslav, 2012. "How do skilled traders change the structure of the market," International Review of Financial Analysis, Elsevier, vol. 23(C), pages 66-71.
    48. Chia-Hsuan Yeh & Chun-Yi Yang, 2013. "Do price limits hurt the market?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 125-153, April.
    49. Carl Chiarella & Roberto Died & Laura Gardini, 2005. "Asset Price Dynamics and Diversification with Heterogeneous Agents," Lecture Notes in Economics and Mathematical Systems, in: Thomas Lux & Eleni Samanidou & Stefan Reitz (ed.), Nonlinear Dynamics and Heterogeneous Interacting Agents, pages 251-267, Springer.
    50. Lukáš Vácha, 2007. "Fractal Properties of the Financial Market [Fraktální vlastnosti finančních trhů]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2007(4), pages 49-55.
    51. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    52. Carl Chiarella & Tony He, 2002. "An Adaptive Model on Asset Pricing and Wealth Dynamics with Heterogeneous Trading Strategies," Computing in Economics and Finance 2002 135, Society for Computational Economics.
    53. Michele Berardi, 2012. "Endogenous time-varying risk aversion and asset return," Centre for Growth and Business Cycle Research Discussion Paper Series 168, Economics, The University of Manchester.
    54. Cars Hommes, 2005. "Heterogeneous Agent Models: Two Simple Case Studies," Tinbergen Institute Discussion Papers 05-055/1, Tinbergen Institute.
    55. Xue-Zhong He & Kai Li, 2011. "Heterogeneous Beliefs and Adaptive Behaviour in a Continuous-Time Asset Price Model," Research Paper Series 291, Quantitative Finance Research Centre, University of Technology, Sydney.
    56. Hommes, C.H., 2005. "Heterogeneous Agents Models: two simple examples, forthcoming In: Lines, M. (ed.) Nonlinear Dynamical Systems in Economics, CISM Courses and Lectures, Springer, 2005, pp.131-164," CeNDEF Working Papers 05-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    57. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heuristic Switching Models," Working Papers 0715, University of Heidelberg, Department of Economics.
    58. Zhu, Mei & Wang, Duo & Guo, Maozheng, 2011. "Stochastic equilibria of an asset pricing model with heterogeneous beliefs and random dividends," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 131-147, January.
    59. Ming Pu & Gang-Zhi Fan & Seow Ong, 2012. "Heterogeneous Agents and the Indifference Pricing of Property Index Linked Swaps," The Journal of Real Estate Finance and Economics, Springer, vol. 44(4), pages 543-569, May.
    60. Hillebrand, Marten & Wenzelburger, Jan, 2006. "On the dynamics of asset prices and portfolios in a multiperiod CAPM," Chaos, Solitons & Fractals, Elsevier, vol. 29(3), pages 578-594.
    61. Lukáš Vácha & Jozef Barunik & Miloslav Vošvrda, 2009. "Smart Agents and Sentiment in the Heterogeneous Agent Model," Prague Economic Papers, Prague University of Economics and Business, vol. 2009(3), pages 209-219.
    62. Thomas Gomez & Giulia Piccillo, 2019. "Diverse Risk Preferences and Heterogeneous Expectations in an Asset Pricing Model," CESifo Working Paper Series 8003, CESifo.
    63. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    64. Xue-Zhong He & Kai Li & Junjie Wei & Min Zheng, 2009. "Market Stability Switches in a Continuous-Time Financial Market with Heterogeneous Beliefs," Research Paper Series 252, Quantitative Finance Research Centre, University of Technology, Sydney.
    65. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heterogeneous Dynamic Heuristic Selection," CRETA Online Discussion Paper Series 73, Centre for Research in Economic Theory and its Applications CRETA.
    66. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    67. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    68. Ying Qu & Junjie Wei, 2010. "Global Hopf Bifurcation Analysis for a Time-Delayed Model of Asset Prices," Discrete Dynamics in Nature and Society, Hindawi, vol. 2010, pages 1-17, March.
    69. Zhu, Jiahua & Bao, Te & Chia, Wai Mun, 2021. "Evolutionary selection of forecasting and quantity decision rules in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 363-404.
    70. Yosra Mefteh Rekik & Younes Boujelbene, 2015. "Price Dynamics and Market Volatility: Behavioral Heterogeneity under Switching Trading Strategies on Artificial Financial Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 6(2), pages 33-43, April.
    71. Hommes, Cars & Huang, Hai & Wang, Duo, 2005. "A robust rational route to randomness in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 29(6), pages 1043-1072, June.
    72. Xue-Zhong He & Youwei Li, 2005. "Long Memory, Heterogeneity and Trend Chasing," Research Paper Series 148, Quantitative Finance Research Centre, University of Technology, Sydney.
    73. Xue-Zhong He & Youwei Li, 2015. "Testing of a Market Fraction Model and Power-Law Behaviour in the Dax 30," Research Paper Series 354, Quantitative Finance Research Centre, University of Technology, Sydney.
    74. Carl Chiarella & Roberto Dieci & Tony He, 2006. "Aggregation of Heterogeneous Beliefs and Asset Pricing: A Mean-Variance Analysis," Computing in Economics and Finance 2006 108, Society for Computational Economics.
    75. David Goldbaum, 2003. "Profitable technical trading rules as a source of price instability," Quantitative Finance, Taylor & Francis Journals, vol. 3(3), pages 220-229.
    76. Xue-Zhong He & Kai Li & Chuncheng Wan, 2015. "Volatility Clustering: A Nonlinear Theoretical Approach," Research Paper Series 365, Quantitative Finance Research Centre, University of Technology, Sydney.
    77. Todd Feldman & Gabriele Lepori, 2016. "Asset price formation and behavioral biases," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 8(2), pages 137-155, November.
    78. Hommes, C.H., 2001. "Modeling the stylized facts in finance through simple nonlinear adaptive systems," CeNDEF Working Papers 01-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    79. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2008. "More hedging instruments may destabilize markets," CeNDEF Working Papers 08-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    80. Carl Chiarella & Roberto Dieci & Laura Gardini & Lucia Sbragia, 2008. "A Model of Financial Market Dynamics with Heterogeneous Beliefs and State-Dependent Confidence," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 55-72, September.
    81. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    82. Xin Guan & Takanobu Mizuta & Isao Yagi, 2024. "Impact of arbitrage trading between an ETF and its underlying assets on market liquidity of their markets using an agent-based simulation," Journal of Computational Social Science, Springer, vol. 7(3), pages 2839-2870, December.
    83. Jörn Dermietzel, 2008. "The Heterogeneous Agents Approach to Financial Markets – Development and Milestones," International Handbooks on Information Systems, in: Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), Handbook on Information Technology in Finance, chapter 19, pages 443-464, Springer.
    84. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    85. Andrea Gaunersdorfer & Cars Hommes & Florian Wagener, 2001. "Adaptive Beliefs and the volatility of asset prices," CeNDEF Workshop Papers, January 2001 5A.1, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    86. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2015, January-A.
    87. Agliari, Anna & Naimzada, Ahmad & Pecora, Nicolò, 2018. "Boom-bust dynamics in a stock market participation model with heterogeneous traders," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 458-468.
    88. Carl Chiarella & Roberto Dieci & Laura Gardini, 2003. "A Dynamic Analysis of Speculation Across Two Markets," Research Paper Series 89, Quantitative Finance Research Centre, University of Technology, Sydney.
    89. Carl Chiarella & Xue-Zhong He & Weihong Huang & Huanhuan Zheng, 2011. "Estimating Behavioural Heterogeneity Under Regime Switching," Research Paper Series 290, Quantitative Finance Research Centre, University of Technology, Sydney.
    90. Lukáš Vácha & Miloslav Vošvrda, 2007. "Wavelet Decomposition of the Financial Market," Prague Economic Papers, Prague University of Economics and Business, vol. 2007(1), pages 38-54.
    91. Park, Beum-Jo, 2014. "Time-varying, heterogeneous risk aversion and dynamics of asset prices among boundedly rational agents," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 150-159.
    92. Loretti I. Dobrescu & Mihaela Neamtu & Gabriela Mircea, 2016. "Asset Price Dynamics in a Chartist-Fundamentalist Model with Time Delays: A Bifurcation Analysis," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-15, February.
    93. Zhu, Mei & Chiarella, Carl & He, Xue-Zhong & Wang, Duo, 2009. "Does the market maker stabilize the market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(15), pages 3164-3180.
    94. Carl Chiarella & Xue-Zhong He & Paolo Pellizzari, 2009. "A Dynamic Analysis of the Microstructure of Moving Average Rules in a Double Auction Market," Research Paper Series 251, Quantitative Finance Research Centre, University of Technology, Sydney.
    95. Lukáš Vácha & Miloslav S. Vošvrda, 2005. "Dynamical Agents' Strategies and the Fractal Market Hypothesis," Prague Economic Papers, Prague University of Economics and Business, vol. 2005(2), pages 163-170.
    96. Isao Yagi & Yuji Masuda & Takanobu Mizuta, 2020. "Analysis of the Impact of High-Frequency Trading on Artificial Market Liquidity," Papers 2010.13038, arXiv.org.
    97. Yeh, Chia-Hsuan & Yang, Chun-Yi, 2010. "Examining the effectiveness of price limits in an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2089-2108, October.
    98. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
    99. Ke-Hung Lai & Shu-Heng Chen & Ya-Chi Huang, 2005. "Bounded Rationality and the Elasticity Puzzle: What Can We Learn from the Agent-Based Computational Consumption Capital Asset Pricing Model?," Computing in Economics and Finance 2005 207, Society for Computational Economics.
    100. Sandrine Jacob Leal, 2015. "Fundamentalists, chartists and asset pricing anomalies," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1837-1850, November.
    101. Carl Chiarella & Xue-Zhong He & Remco C.J. Zwinkels, 2014. "Heterogeneous Expectations in Asset Pricing: Empirical Evidence from the S&P500," Research Paper Series 344, Quantitative Finance Research Centre, University of Technology, Sydney.
    102. Dong, Feng & Jia, Yandong & Wang, Siqing, 2022. "Speculative Bubbles and Talent Misallocation," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    103. Sandrine Jacob Leal, 2015. "Fundamentalists, Chartists and Asset pricing anomalies," Post-Print hal-01508002, HAL.
    104. Jozef Barunik & Lukas Vacha & Miloslav Vosvrda, 2009. "Smart predictors in the heterogeneous agent model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(2), pages 163-172, November.
    105. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    106. Volker Bohm & Carl Chiarella, 2000. "Mean Variance Preferences, Expectations Formation, and the Dynamics of Random Asset Prices," Research Paper Series 46, Quantitative Finance Research Centre, University of Technology, Sydney.
    107. Orlando Gomes, 2010. "Consumer confidence, endogenous growth and endogenous cycles," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(4), pages 377-404, September.
    108. Vinod Cheriyan & Anton J. Kleywegt, 2016. "A dynamical systems model of price bubbles and cycles," Quantitative Finance, Taylor & Francis Journals, vol. 16(2), pages 309-336, February.
    109. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.
    110. Chiarella, Carl & ter Ellen, Saskia & He, Xue-Zhong & Wu, Eliza, 2015. "Fear or fundamentals? Heterogeneous beliefs in the European sovereign CDS market," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 19-34.
    111. Tiziana Assenza & Jakob Grazzini & Domenico Massaro, 2019. "Introduction to the special issue," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 431-436, September.
    112. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
    113. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.
    114. Soumya Datta, 2019. "Exchange rate dynamics under limits of arbitrage and heterogeneous expectations," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 521-550, September.
    115. Youwei Li & Xue-Zhong (Tony) He, 2005. "Heterogeneity, Profitability and Autocorrelations," Computing in Economics and Finance 2005 244, Society for Computational Economics.
    116. Hommes, C.H. & Huang, H. & Wang, D., 2002. "A Robust Rational Route to in a Simple Asset Pricing Model," CeNDEF Working Papers 02-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    117. Jia-Ping Huang & Yang Zhang & Juanxi Wang, 2023. "Dynamic effects of social influence on asset prices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 671-699, July.
    118. Chiarella, Carl & He, Xue-Zhong & Hommes, Cars, 2006. "Moving average rules as a source of market instability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 12-17.
    119. Tai, Chung-Ching & Chen, Shu-Heng & Yang, Lee-Xieng, 2018. "Cognitive ability and earnings performance: Evidence from double auction market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 409-440.

  105. Carl Chiarella & Oh-Kang Kwon, 2000. "A Complete Stochastic Volatility Model in the HJM Framework," Research Paper Series 43, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Foschi, Paolo & Pascucci, Andrea, 2009. "Calibration of a path-dependent volatility model: Empirical tests," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2219-2235, April.
    2. Eusebio Valero & Manuel Torrealba & Lucas Lacasa & Franc{c}ois Fraysse, 2011. "Fast resolution of a single factor Heath-Jarrow-Morton model with stochastic volatility," Papers 1108.1688, arXiv.org.
    3. Robert A. Jarrow, 2009. "The Term Structure of Interest Rates," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 69-96, November.
    4. Pascucci, Andrea & Foschi, Paolo, 2006. "Path dependent volatility," MPRA Paper 973, University Library of Munich, Germany.
    5. Mauro Rosestolato & Tiziano Vargiolu & Giovanna Villani, 2013. "Robustness for path-dependent volatility models," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 36(2), pages 137-167, November.
    6. Andrea Pascucci & Paolo Foschi, 2005. "Calibration of the Hobson&Rogers model: empirical tests," Finance 0509020, University Library of Munich, Germany.

  106. Ram Bhar & Carl Chiarella & Toan Pham, 2000. "Modeling the Currency Forward Risk Premium: Theory and Evidence," Research Paper Series 41, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Sarantis, Nicholas, 2006. "Testing the uncovered interest parity using traded volatility, a time-varying risk premium and heterogeneous expectations," Journal of International Money and Finance, Elsevier, vol. 25(7), pages 1168-1186, November.
    2. Zhiguang Wang & Prasad Bidarkota, 2012. "Risk premia in forward foreign exchange rates: a comparison of signal extraction and regression methods," Empirical Economics, Springer, vol. 42(1), pages 21-51, February.
    3. Kiani, Khurshid M., 2013. "Can signal extraction help predict risk premia in foreign exchange rates," Economic Modelling, Elsevier, vol. 33(C), pages 926-939.

  107. Carl Chiarella & Oh-Kang Kwon, 2000. "A Class of Heath-Jarrow-Morton Term Structure Models with Stochastic Volatility," Research Paper Series 34, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2011. "Credit Derivative Pricing with Stochastic Volatility Models," Research Paper Series 293, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Samuel Chege Maina, 2011. "Credit Risk Modelling in Markovian HJM Term Structure Class of Models with Stochastic Volatility," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2011, January-A.
    3. Carl Chiarella & Oh-Kang Kwon, 1999. "Forward Rate Dependent Markovian Transformations of the Heath-Jarrow-Morton Term Structure Model," Research Paper Series 5, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2010. "Markovian Defaultable HJM Term Structure Models with Unspanned Stochastic Volatility," Research Paper Series 283, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Carl Chiarella & Oh-Kang Kwon, 2000. "A Complete Stochastic Volatility Model in the HJM Framework," Research Paper Series 43, Quantitative Finance Research Centre, University of Technology, Sydney.

  108. Ram Bhar & Carl Chiarella & Nadima El-Hassan & Xiaosu Zheng, 2000. "The Reduction of Forward Rate Dependent Volatility HJM Models to Markovian Form: Pricing European Bond Option," Research Paper Series 36, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Derivative Security Pricing," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-662-45906-5, June.
    2. Carl Chiarella & Sara Pasquali & Wolfgang Runggaldier, 2001. "On Filtering in Markovian Term Structure Models (An Approximation Approach)," Research Paper Series 65, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Fima Klebaner & Truc Le & Robert Liptser, 2006. "On Estimation of Volatility Surface and Prediction of Future Spot Volatility," Applied Mathematical Finance, Taylor & Francis Journals, vol. 13(3), pages 245-263.
    4. Carl Chiarella & Oh-Kang Kwon, 2000. "A Class of Heath-Jarrow-Morton Term Structure Models with Stochastic Volatility," Research Paper Series 34, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Chiarella, Carl & Clewlow, Les & Musti, Silvana, 2005. "A volatility decomposition control variate technique for Monte Carlo simulations of Heath Jarrow Morton models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 325-336, March.
    6. Carl Chiarella & Sara Pasquali & Wolfgang J. Runggaldier, 2001. "On Filtering in Markovian Term Structure Models," World Scientific Book Chapters, in: Jiongmin Yong (ed.), Recent Developments In Mathematical Finance, chapter 12, pages 139-150, World Scientific Publishing Co. Pte. Ltd..
    7. Y. D'Halluin & P. A. Forsyth & K. R. Vetzal & G. Labahn, 2001. "A numerical PDE approach for pricing callable bonds," Applied Mathematical Finance, Taylor & Francis Journals, vol. 8(1), pages 49-77.

  109. Carl Chiarella & Mark Craddock & Nadima El-Hassan, 2000. "The Calibration of Stock Option Pricing Models Using Inverse Problem Methodology," Research Paper Series 39, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Mark Craddock & Nadima El-Hassan, 2003. "An Implementation of Bouchouev's Method for a Short Time Calibration of Option Pricing Models," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 113-138, October.
    2. Yu-Hua Zeng & Shou-Lei Wang & Yu-Fei Yang, 2014. "Calibration of the Volatility in Option Pricing Using the Total Variation Regularization," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-9, March.
    3. Tarik Chakkour & Emmanuel Frénod, 2016. "Inverse problem and concentration method of a continuous-in-time financial model," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 1-20, June.
    4. M. Papi & L. Pontecorvi & C. Donatucci, 2017. "Weighted average price in the Heston stochastic volatility model," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 40(1), pages 351-373, November.
    5. Martin Tegn'er & Stephen Roberts, 2019. "A Probabilistic Approach to Nonparametric Local Volatility," Papers 1901.06021, arXiv.org, revised Jan 2019.
    6. R. Aboulaich & H. Ben Ameur & M. Lamarti Sefian, 2014. "Volatility Estimation via Jump Indicator," Modern Applied Science, Canadian Center of Science and Education, vol. 8(2), pages 1-12, April.
    7. Shou-Lei Wang & Yu-Fei Yang & Yu-Hua Zeng, 2014. "The Adjoint Method for the Inverse Problem of Option Pricing," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, March.
    8. Martin Tegner & Stephen Roberts, 2021. "A Bayesian take on option pricing with Gaussian processes," Papers 2112.03718, arXiv.org.
    9. Andrea De Martino & Edward Manuel Ruiz Crosby & Roberto Stagni, 2017. "A unified framework for pricing credit and equity derivatives," Working Papers 116, Peruvian Economic Association.
    10. Vipul Kumar Singh, 2013. "Effectiveness of volatility models in option pricing: evidence from recent financial upheavals," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 10(3), pages 352-375, October.

  110. Carl Chiarella & Peter Flaschel & Willi Semmler, 2000. "Price Flexibility and Debt Dynamics in a High Order AS-AD Model," Working Paper Series 109, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Asada, Toichiro, 2006. "Stabilization policy in a Keynes-Goodwin model with debt accumulation," Structural Change and Economic Dynamics, Elsevier, vol. 17(4), pages 466-485, December.
    2. Toichiro Asada, 2007. "Significance of the Keynesian Legacy from a Theoretical Viewpoint: A High-Dimensional Macrodynamic Approach," Springer Books, in: Toichiro Asada & Toshiharu Ishikawa (ed.), Time and Space in Economics, chapter 5, pages 81-96, Springer.
    3. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "Towards Applied Disequilibrium Growth Theory: IV Numerical Investigations of the Core 18D Model," Working Paper Series 96, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Toichiro Asada, 2006. "Inflation Targeting Policy in a Dynamic Keynesian Model with Debt Accumulation: A Japanese Perspective," Contributions to Economic Analysis, in: Quantitative and Empirical Analysis of Nonlinear Dynamic Macromodels, pages 517-544, Emerald Group Publishing Limited.
    5. Carl Chiarella & Peter Flaschel, 2003. "Towards Applied Disequilibrium Growth Theory: V Housing Investment Cycles, Private Debt Accumulation and Deflation," Working Paper Series 97, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  111. Xue-Zhong He & Carl Chiarella, 1999. "Heterogeneous Beliefs, Risk and Learning in a Simple Asset-Pricing Model," Computing in Economics and Finance 1999 223, Society for Computational Economics.

    Cited by:

    1. Miroslav Verbic, 2008. "On the Role of Memory in an Asset Pricing Model with Heterogeneous Beliefs," Financial Theory and Practice, Institute of Public Finance, vol. 32(2), pages 195-229.
    2. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "Statistical Properties of a Heterogeneous Asset Price Model with Time-Varying Second Moment," Research Paper Series 142, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Torsten Trimborn, 2018. "A Macroscopic Portfolio Model: From Rational Agents to Bounded Rationality," Papers 1805.11036, arXiv.org, revised Oct 2018.
    4. Xue-Zhong (Tony) He & Carl Chiarella, 2001. "Asset Price and Wealth Dynamics under Heterogeneous Expectations," CeNDEF Workshop Papers, January 2001 5A.2, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    5. Cars H. Hommes, 2001. "Financial Markets as Nonlinear Adaptive Evolutionary Systems," Tinbergen Institute Discussion Papers 01-014/1, Tinbergen Institute.
    6. Roberto Dieci & Ilaria Foroni & Laura Gardini & Xue-Zhong He, 2005. "Market Mood, Adaptive Beliefs and Asset Price Dynamics," Research Paper Series 162, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Orlando Gomes, 2004. "A Continuous-Time Asset Pricing Model with Boundedly Rational Heterogeneous Agents," Finance 0409055, University Library of Munich, Germany.
    8. Raquel Almeida Ramos & Federico Bassi & Dany Lang, 2020. "Bet against the trend and cash in profits," Working Papers halshs-02956879, HAL.
    9. Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.
    10. Roberto Savona & Maxence Soumare & Jørgen Vitting Andersen, 2015. "Financial Symmetry and Moods in the Market," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-21, April.
    11. Federico Bassi & Dany Lang & Raquel Almeida Ramos, 2023. "Bet against the trend and cash in profits: An agent‑based model of endogenous fluctuations of exchange rates," Post-Print hal-04428234, HAL.
    12. Zhenxi, Chen & Lux, Thomas, 2015. "Estimation of sentiment effects in financial markets: A simulated method of moments approach," FinMaP-Working Papers 37, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    13. Alexander Zimper, 2023. "Belief aggregation for representative agent models," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(2), pages 309-342, June.
    14. Gomes, Orlando, 2012. "Attentiveness cycles: Synchronized behavior and aggregate fluctuations," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 66(3), October.
    15. He, Xue-Zhong & Li, Kai & Santi, Caterina & Shi, Lei, 2022. "Social interaction, volatility clustering, and momentum," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 125-149.
    16. Jiri Kukacka & Jozef Barunik, 2012. "Behavioural breaks in the heterogeneous agent model: the impact of herding, overconfidence, and market sentiment," Papers 1205.3763, arXiv.org, revised May 2013.
    17. Carl Chiarella & Tony He & Cars H. Hommes, 2005. "A Dynamic Analysis of Moving Average Rules," Tinbergen Institute Discussion Papers 05-057/1, Tinbergen Institute.
    18. Yang, J-H.S. & Satchell, S.E., 2003. "Endogenous Correlation," Cambridge Working Papers in Economics 0321, Faculty of Economics, University of Cambridge.
    19. Catherine Kyrtsou & Michel Terraza, 2003. "Is it Possible to Study Chaotic and ARCH Behaviour Jointly? Application of a Noisy Mackey–Glass Equation with Heteroskedastic Errors to the Paris Stock Exchange Returns Series," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 257-276, June.
    20. Xue-Zhong He & Min Zheng, 2010. "Dynamics of Moving Average Rules in a Continuous-time Financial Market Model," Research Paper Series 268, Quantitative Finance Research Centre, University of Technology, Sydney.
    21. Carl Chiarella & Xue-Zhong He & Min Zheng, 2009. "Heterogeneous Expectations and Exchange Rate Dynamics," Research Paper Series 243, Quantitative Finance Research Centre, University of Technology, Sydney.
    22. Carl Chiarella & Roberto Dieci & Laura Gardini, 2001. "Speculative Behaviour and Complex Asset Price Dynamics," Research Paper Series 49, Quantitative Finance Research Centre, University of Technology, Sydney.
    23. Min Zheng & Duo Wang & Xue-Zhong He, 2009. "Asymmetry of technical analysis and market price volatility," Published Paper Series 2009-6, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    24. Orlando Gomes, . "Volatility, Heterogeneous Agents and Chaos," The Electronic Journal of Evolutionary Modeling and Economic Dynamics, IFReDE - Université Montesquieu Bordeaux IV.
    25. Dewachter, Hans & Houssa, Romain & Lyrio, Marco & Kaltwasser, Pablo Rovira, 2011. "Dynamic Forecasting Rules and the Complexity of Exchange Rate Dynamics," Insper Working Papers wpe_260, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    26. Jang, Tae-Seok & Sacht, Stephen, 2012. "Identification of animal spirits in a bounded rationality model: An application to the euro area," Kiel Working Papers 1798, Kiel Institute for the World Economy (IfW Kiel).
    27. Sansone, Alessandro & Garofalo, Giuseppe, 2007. "Asset price dynamics in a financial market with heterogeneous trading strategies and time delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 247-257.
    28. Martin, Carolin & Schmitt, Noemi & Westerhoff, Frank, 2019. "Housing markets, expectation formation and interest rates," BERG Working Paper Series 142, Bamberg University, Bamberg Economic Research Group.
    29. David Goldbaum & Bruce Mizrach, 2004. "Estimating the Intensity of Choice in a Dynamic Mutual Fund Allocation Decision," Departmental Working Papers 200414, Rutgers University, Department of Economics.
    30. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "A Behavioural Asset Pricing Model with a Time-Varying Second Moment," Research Paper Series 141, Quantitative Finance Research Centre, University of Technology, Sydney.
    31. Xue-Zhong He, 2003. "Asset Pricing, Volatility and Market Behaviour: A Market Fraction Approach," Research Paper Series 95, Quantitative Finance Research Centre, University of Technology, Sydney.
    32. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
    33. Giulio Bottazzi & Mikhail Anufriev, 2005. "Price and Wealth Dynamics in a Speculative Market with an Arbitrary Number of Generic Technical Trading Strategies," Computing in Economics and Finance 2005 375, Society for Computational Economics.
    34. Lucy F. Ackert & Bryan K. Church & Ping Zhang, 2002. "Asset prices and informed traders' abilities: evidence from experimental asset markets," FRB Atlanta Working Paper 2002-26, Federal Reserve Bank of Atlanta.
    35. Amilon, Henrik, 2008. "Estimation of an adaptive stock market model with heterogeneous agents," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 342-362, March.
    36. He, Xue-Zhong & Li, Youwei & Zheng, Min, 2019. "Heterogeneous agent models in financial markets: A nonlinear dynamics approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 135-149.
    37. Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Heterogeneity and Clustering of Defaults," The Warwick Economics Research Paper Series (TWERPS) 1083, University of Warwick, Department of Economics.
    38. Gaunersdorfer, A. & Hommes, C.H. & Wagener, F.O.O., 2003. "Nonlocal onset of instability in an asset pricing model with heterogeneous agents," CeNDEF Working Papers 03-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    39. Carl Chiarella & Roberto Dieci & Laura Gardini, 2005. "The Dynamic Interaction of Speculation and Diversification," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(1), pages 17-52.
    40. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    41. Anufriev, Mikhail & Kopányi, Dávid, 2018. "Oligopoly game: Price makers meet price takers," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 84-103.
    42. Andrew Foster & Natasha Kirby, 2011. "Analysis of a Heterogeneous Trader Model for Asset Price Dynamics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2011, pages 1-12, October.
    43. Miloslav Vošvrda & Lukáš Vácha, 2007. "Heterogeneous Agents Model with the Worst Out Algorithm," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 1(1), pages 54-66, March.
    44. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    45. Lux, Thomas & Alfarano, Simone, 2016. "Financial power laws: Empirical evidence, models, and mechanisms," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 3-18.
    46. Clark, Andrew, 2012. "Heat baths and computational agent-based models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5512-5520.
    47. He, Xue-Zhong & Li, Kai, 2015. "Profitability of time series momentum," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 140-157.
    48. Brian Sallans & Alexander Pfister & Alexandros Karatzoglou & Georg Dorffner, 2003. "Simulation and Validation of an Integrated Markets Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(4), pages 1-2.
    49. Mikhail Anufriev & Giulio Bottazzi & Francesca Pancotto, 2004. "Price and Wealth Asymptotic Dynamics with CRRA Technical Trading Strategies," LEM Papers Series 2004/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    50. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2005. "Heterogeneous Expectations and Speculative Behaviour in a Dynamic Multi-Asset Framework," Research Paper Series 166, Quantitative Finance Research Centre, University of Technology, Sydney.
    51. Jan Wenzelburger, 2013. "Risk sharing in a financial market with endogenous option prices," The European Journal of Finance, Taylor & Francis Journals, vol. 19(6), pages 491-517, July.
    52. Radu T. Pruna & Maria Polukarov & Nicholas R. Jennings, 2020. "Loss aversion in an agent-based asset pricing model," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 275-290, February.
    53. Anufriev, Mikhail & Bottazzi, Giulio & Pancotto, Francesca, 2006. "Equilibria, stability and asymptotic dominance in a speculative market with heterogeneous traders," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1787-1835.
    54. Di Guilmi, Corrado & Galanis, Giorgos & Proaño, Christian R., 2023. "A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 50-67.
    55. Naimzada, Ahmad & Pireddu, Marina, 2015. "Real and financial interacting markets: A behavioral macro-model," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 111-131.
    56. Roy Cerqueti & Giulia Rotundo, 2015. "A review of aggregation techniques for agent-based models: understanding the presence of long-term memory," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1693-1717, July.
    57. Dong-Jin Pyo, 2017. "A multi-factor model of heterogeneous traders in a dynamic stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1416902-141, January.
    58. Pyo, Dong-Jin, 2014. "A Multi-Factor Model of Heterogeneous Traders in a Dynamic Stock Market," Staff General Research Papers Archive 37358, Iowa State University, Department of Economics.
    59. Carl Chiarella & Roberto Dieci, 2004. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Computing in Economics and Finance 2004 261, Society for Computational Economics.
    60. Friedrich Wagner, 2011. "Market clearing by maximum entropy in agent models of stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 6(2), pages 121-138, November.
    61. Zheng, Min & Liu, Ruipeng & Li, Youwei, 2018. "Long memory in financial markets: A heterogeneous agent model perspective," MPRA Paper 84886, University Library of Munich, Germany.
    62. Sandrine Jacob Leal, 2013. "Momentum effect in individual stocks and heterogeneous beliefs among fundamentalists," Economics Bulletin, AccessEcon, vol. 33(4), pages 3102-3116.
    63. Chiarella, Carl & He, Xue-Zhong, 2003. "Heterogeneous Beliefs, Risk, And Learning In A Simple Asset-Pricing Model With A Market Maker," Macroeconomic Dynamics, Cambridge University Press, vol. 7(4), pages 503-536, September.
    64. Ya-Chi Huang & Chueh-Yung Tsao, 2018. "Discovering Traders’ Heterogeneous Behavior in High-Frequency Financial Data," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 821-846, April.
    65. Taisei Kaizoji, 2003. "Speculative bubbles and fat tail phenomena in a heterogeneous agent model," Papers nlin/0312040, arXiv.org.
    66. Gaunersdorfer, Andrea & Hommes, Cars H. & Wagener, Florian O.O., 2008. "Bifurcation routes to volatility clustering under evolutionary learning," Journal of Economic Behavior & Organization, Elsevier, vol. 67(1), pages 27-47, July.
    67. Pérez-Rodríguez, Jorge V. & Gómez-Déniz, Emilio & Sosvilla-Rivero, Simón, 2021. "Testing unobserved market heterogeneity in financial markets: The case of Banco Popular," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 151-160.
    68. Thorsten Lehnert & Bart Frijns & Remco Zwinkels, 2009. "Behavioral Heterogeneity in the Option Market," LSF Research Working Paper Series 09-07, Luxembourg School of Finance, University of Luxembourg.
    69. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    70. Bischi, Gian-Italo & Gallegati, Mauro & Gardini, Laura & Leombruni, Roberto & Palestrini, Antonio, 2006. "Herd Behavior And Nonfundamental Asset Price Fluctuations In Financial Markets," Macroeconomic Dynamics, Cambridge University Press, vol. 10(4), pages 502-528, September.
    71. Parke, William R. & Waters, George A., 2007. "An evolutionary game theory explanation of ARCH effects," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2234-2262, July.
    72. Lux, Thomas, 2006. "Financial power laws: Empirical evidence, models, and mechanism," Economics Working Papers 2006-12, Christian-Albrechts-University of Kiel, Department of Economics.
    73. Chia-Hsuan Yeh & Chun-Yi Yang, 2013. "Do price limits hurt the market?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 125-153, April.
    74. Alessio Emanuele Biondo & Alessandro Pluchino & Andrea Rapisarda, 2014. "Micro and Macro Benefits of Random Investments in Financial Markets," Papers 1405.5805, arXiv.org.
    75. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    76. Carl Chiarella & Tony He, 2002. "An Adaptive Model on Asset Pricing and Wealth Dynamics with Heterogeneous Trading Strategies," Computing in Economics and Finance 2002 135, Society for Computational Economics.
    77. Siddiqi, Hammad, 2007. "Rational Interacting Agents and Volatility Clustering: A New Approach," MPRA Paper 2984, University Library of Munich, Germany.
    78. Pietro Dindo & Jan Tuinstra, 2011. "A Class of Evolutionary Models for Participation Games with Negative Feedback," Computational Economics, Springer;Society for Computational Economics, vol. 37(3), pages 267-300, March.
    79. Chang Sheng-Kai, 2014. "Herd behavior, bubbles and social interactions in financial markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(1), pages 89-101, February.
    80. Michele Berardi, 2012. "Endogenous time-varying risk aversion and asset return," Centre for Growth and Business Cycle Research Discussion Paper Series 168, Economics, The University of Manchester.
    81. Xue-Zhong He & Kai Li, 2011. "Heterogeneous Beliefs and Adaptive Behaviour in a Continuous-Time Asset Price Model," Research Paper Series 291, Quantitative Finance Research Centre, University of Technology, Sydney.
    82. De Grauwe, Paul & Rovira Kaltwasser, Pablo, 2012. "Animal spirits in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1176-1192.
    83. Iryna Veryzhenko, 2021. "Who gains and who loses on stock markets? Risk preferences and timing matter," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(2), pages 143-155, April.
    84. J.-H. Steffi Yang & Satchell, S.E., 2002. "The Impact of Technical Analysis on Asset Price Dynamics," Cambridge Working Papers in Economics 0219, Faculty of Economics, University of Cambridge.
    85. Hommes, C.H., 2005. "Heterogeneous Agents Models: two simple examples, forthcoming In: Lines, M. (ed.) Nonlinear Dynamical Systems in Economics, CISM Courses and Lectures, Springer, 2005, pp.131-164," CeNDEF Working Papers 05-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    86. Jan Wenzelburger & Volker Boehm, 2004. "On the performance of efficient portfolios," Computing in Economics and Finance 2004 197, Society for Computational Economics.
    87. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heuristic Switching Models," Working Papers 0715, University of Heidelberg, Department of Economics.
    88. Jonathan Cook, 2017. "Estimating the portion of technical analysts in a market," Applied Economics, Taylor & Francis Journals, vol. 49(41), pages 4127-4137, September.
    89. Roberto Savona & Maxence Soumare & Jørgen Vitting Andersen, 2014. "Financial Symmetry and Moods in the Market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00983008, HAL.
    90. Zhu, Mei & Wang, Duo & Guo, Maozheng, 2011. "Stochastic equilibria of an asset pricing model with heterogeneous beliefs and random dividends," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 131-147, January.
    91. Ming Pu & Gang-Zhi Fan & Seow Ong, 2012. "Heterogeneous Agents and the Indifference Pricing of Property Index Linked Swaps," The Journal of Real Estate Finance and Economics, Springer, vol. 44(4), pages 543-569, May.
    92. Ruitao Gu & Qiaoyun Zhang & Wei Zhou & Jianxu Liu, 2022. "Judging the True Health of Finance Institutions Based on Risk Behavior and Operation Performance," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-21, November.
    93. Hillebrand, Marten & Wenzelburger, Jan, 2006. "On the dynamics of asset prices and portfolios in a multiperiod CAPM," Chaos, Solitons & Fractals, Elsevier, vol. 29(3), pages 578-594.
    94. Gomes, Orlando, 2008. "Interaction in organizations: A dynamic choice of codes," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(4), pages 1570-1583, August.
    95. Jang, Tae-Seok & Sacht, Stephen, 2014. "Animal spirits and the business cycle: Empirical evidence from moment matching," Economics Working Papers 2014-06, Christian-Albrechts-University of Kiel, Department of Economics.
    96. Kyrtsou, Catherine & Terraza, Michel, 2002. "Stochastic chaos or ARCH effects in stock series?: A comparative study," International Review of Financial Analysis, Elsevier, vol. 11(4), pages 407-431.
    97. Thomas Gomez & Giulia Piccillo, 2019. "Diverse Risk Preferences and Heterogeneous Expectations in an Asset Pricing Model," CESifo Working Paper Series 8003, CESifo.
    98. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    99. Xue-Zhong He & Kai Li & Junjie Wei & Min Zheng, 2009. "Market Stability Switches in a Continuous-Time Financial Market with Heterogeneous Beliefs," Research Paper Series 252, Quantitative Finance Research Centre, University of Technology, Sydney.
    100. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heterogeneous Dynamic Heuristic Selection," CRETA Online Discussion Paper Series 73, Centre for Research in Economic Theory and its Applications CRETA.
    101. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    102. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    103. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2001. "Evolutionary Dynamics in Financial Markets With Many Trader Types," CeNDEF Working Papers 01-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    104. David Goldbaum, 2000. "Profitability And Market Stability: Fundamentals And Technical Trading Rules," Computing in Economics and Finance 2000 85, Society for Computational Economics.
    105. Zhu, Jiahua & Bao, Te & Chia, Wai Mun, 2021. "Evolutionary selection of forecasting and quantity decision rules in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 363-404.
    106. Filippo Gusella & Giorgio Ricchiuti, 2021. "State Space Model to Detect Cycles in Heterogeneous Agents Models," Working Papers - Economics wp2021_10.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    107. Orlando Gomes, 2008. "Decentralized Allocation of Human Capital and Nonlinear Growth," Computational Economics, Springer;Society for Computational Economics, vol. 31(1), pages 45-75, February.
    108. Mikhail Anufriev & Giulio Bottazzi, 2004. "Asset Pricing Model with Heterogeneous Investment Horizons," LEM Papers Series 2004/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    109. Xue-Zhong He & Youwei Li, 2005. "Long Memory, Heterogeneity and Trend Chasing," Research Paper Series 148, Quantitative Finance Research Centre, University of Technology, Sydney.
    110. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2002. "Evolutionary dynamics in markets with many trader types," CeNDEF Working Papers 02-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    111. Carl Chiarella & Xue-Zhong He, 2000. "Stability of Competitive Equilibria with Heterogeneous Beliefs and Learning," Research Paper Series 37, Quantitative Finance Research Centre, University of Technology, Sydney.
    112. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Post-Print halshs-01215947, HAL.
    113. Xue-Zhong He & Youwei Li, 2015. "Testing of a Market Fraction Model and Power-Law Behaviour in the Dax 30," Research Paper Series 354, Quantitative Finance Research Centre, University of Technology, Sydney.
    114. Carl Chiarella & Xue-Zhong He, 2001. "Dynamics of Beliefs and Learning Under aL Processes - The Heterogeneous Case," Research Paper Series 55, Quantitative Finance Research Centre, University of Technology, Sydney.
    115. Serena Brianzoni & Cristiana Mammana & Elisabetta Michetti, 2010. "Updating Wealth in an Asset Pricing Model with Heterogeneous Agents," Discrete Dynamics in Nature and Society, Hindawi, vol. 2010, pages 1-27, November.
    116. Carl Chiarella & Roberto Dieci & Tony He, 2006. "Aggregation of Heterogeneous Beliefs and Asset Pricing: A Mean-Variance Analysis," Computing in Economics and Finance 2006 108, Society for Computational Economics.
    117. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00983051, HAL.
    118. Karlis, Alexandros & Galanis, Girogos & Terovitis, Spyridon & Turner, Matthew, 2017. "Heterogeneity and Clustering of Defaults," Economic Research Papers 270011, University of Warwick - Department of Economics.
    119. Chen, Zhenxi, 2016. "Regimes dependent speculative trading: Evidence from the United States housing market," FinMaP-Working Papers 66, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    120. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Kiel Working Papers 1426, Kiel Institute for the World Economy (IfW Kiel).
    121. Carl Chiarella & Mauro Gallegati & Roberto Leombruni & Antonio Palestrini, 2002. "Asset Price Dynamics among Heterogeneous Interacting Agents," Computing in Economics and Finance 2002 222, Society for Computational Economics.
    122. Xue-Zhong He & Kai Li & Chuncheng Wan, 2015. "Volatility Clustering: A Nonlinear Theoretical Approach," Research Paper Series 365, Quantitative Finance Research Centre, University of Technology, Sydney.
    123. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Economics Working Papers 2008-08, Christian-Albrechts-University of Kiel, Department of Economics.
    124. Takashi Nishiwaki, "undated". "On the Stability of Equilibrium in the Market with Heterogeneous Investment Horizons," Working Papers 2101, Waseda University, Faculty of Political Science and Economics.
    125. Hommes, Cars & Kiseleva, Tatiana & Kuznetsov, Yuri & Verbic, Miroslav, 2012. "Is More Memory In Evolutionary Selection (De)Stabilizing?," Macroeconomic Dynamics, Cambridge University Press, vol. 16(3), pages 335-357, June.
    126. Hommes, C.H., 2001. "Modeling the stylized facts in finance through simple nonlinear adaptive systems," CeNDEF Working Papers 01-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    127. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    128. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2008. "More hedging instruments may destabilize markets," CeNDEF Working Papers 08-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    129. Carl Chiarella & Roberto Dieci & Laura Gardini & Lucia Sbragia, 2008. "A Model of Financial Market Dynamics with Heterogeneous Beliefs and State-Dependent Confidence," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 55-72, September.
    130. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    131. Lof, Matthijs, 2012. "Heterogeneity in stock prices: A STAR model with multivariate transition function," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1845-1854.
    132. de Jong, Eelke & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2009. "Behavioural heterogeneity and shift-contagion: Evidence from the Asian crisis," Journal of Economic Dynamics and Control, Elsevier, vol. 33(11), pages 1929-1944, November.
    133. Jörn Dermietzel, 2008. "The Heterogeneous Agents Approach to Financial Markets – Development and Milestones," International Handbooks on Information Systems, in: Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), Handbook on Information Technology in Finance, chapter 19, pages 443-464, Springer.
    134. Andrea Gaunersdorfer & Cars Hommes & Florian Wagener, 2001. "Adaptive Beliefs and the volatility of asset prices," CeNDEF Workshop Papers, January 2001 5A.1, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    135. Shapiro, Dmitry, 2009. "Evolution of heterogeneous beliefs and asset overvaluation," Journal of Mathematical Economics, Elsevier, vol. 45(3-4), pages 277-292, March.
    136. Carl Chiarella & Roberto Dieci & Laura Gardini, 2003. "A Dynamic Analysis of Speculation Across Two Markets," Research Paper Series 89, Quantitative Finance Research Centre, University of Technology, Sydney.
    137. Carl Chiarella & Xue-Zhong He & Weihong Huang & Huanhuan Zheng, 2011. "Estimating Behavioural Heterogeneity Under Regime Switching," Research Paper Series 290, Quantitative Finance Research Centre, University of Technology, Sydney.
    138. Xue-Zhong He & Kai Li, 2014. "Time Series Momentum and Market Stability," Research Paper Series 341, Quantitative Finance Research Centre, University of Technology, Sydney.
    139. Park, Beum-Jo, 2014. "Time-varying, heterogeneous risk aversion and dynamics of asset prices among boundedly rational agents," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 150-159.
    140. Zhu, Mei & Chiarella, Carl & He, Xue-Zhong & Wang, Duo, 2009. "Does the market maker stabilize the market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(15), pages 3164-3180.
    141. Carl Chiarella & Xue-Zhong He & Paolo Pellizzari, 2009. "A Dynamic Analysis of the Microstructure of Moving Average Rules in a Double Auction Market," Research Paper Series 251, Quantitative Finance Research Centre, University of Technology, Sydney.
    142. Christian Peretti, 2007. "Long Memory and Hysteresis," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 363-389, Springer.
    143. Carl Chairella & Roberto Dieci & Laura Gardini, 2001. "Asset price dynamics in a financial market with fundamentalists and chartists," Discrete Dynamics in Nature and Society, Hindawi, vol. 6, pages 1-31, January.
    144. Corrado Di Guilmi & Xue-Zhong He & Kai Li, 2013. "Herding, Trend Chasing and Market Volatility," Research Paper Series 337, Quantitative Finance Research Centre, University of Technology, Sydney.
    145. Catherine Kyrtsou & Michel Terraza, 2000. "Is It Possible To Study Jointly Chaotic And Arch Behaviour? Application Of A Noisy Mackey-Glass Equation With Heteroskedastic Errors To The Paris Stock Exchange," Computing in Economics and Finance 2000 Z226, Society for Computational Economics.
    146. Dercole, Fabio & Radi, Davide, 2020. "Does the “uptick rule” stabilize the stock market? Insights from adaptive rational equilibrium dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    147. Verbic, Miroslav, 2006. "Memory and Asset Pricing Models with Heterogeneous Beliefs," MPRA Paper 1261, University Library of Munich, Germany.
    148. Hanchao Liu, 2020. "When one stock share is a biological individual: a stylized simulation of the population dynamics in an order-driven market," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 373-408, June.
    149. Alessio Emanuele Biondo & Alessandro Pluchino & Andrea Rapisarda & Dirk Helbing, 2013. "Are Random Trading Strategies More Successful than Technical Ones?," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-13, July.
    150. Yeh, Chia-Hsuan & Yang, Chun-Yi, 2010. "Examining the effectiveness of price limits in an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2089-2108, October.
    151. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
    152. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2018. "A laboratory experiment on the heuristic switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 21-42.
    153. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2009. "A Framework for CAPM with Heterogenous Beliefs," Research Paper Series 254, Quantitative Finance Research Centre, University of Technology, Sydney.
    154. Ke-Hung Lai & Shu-Heng Chen & Ya-Chi Huang, 2005. "Bounded Rationality and the Elasticity Puzzle: What Can We Learn from the Agent-Based Computational Consumption Capital Asset Pricing Model?," Computing in Economics and Finance 2005 207, Society for Computational Economics.
    155. Sandrine Jacob Leal, 2015. "Fundamentalists, chartists and asset pricing anomalies," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1837-1850, November.
    156. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01215947, HAL.
    157. Fabio Dercole & Davide Radi, 2014. "Does the "uptick rule" stabilize the stock market? Insights from Adaptive Rational Equilibrium Dynamics," Papers 1405.7747, arXiv.org.
    158. Gaies, Brahim & Nakhli, Mohamed Sahbi & Ayadi, Rim & Sahut, Jean-Michel, 2022. "Exploring the causal links between investor sentiment and financial instability: A dynamic macro-financial analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 290-303.
    159. Tae-Seok Jang, 2015. "Identification of Social Interaction Effects in Financial Data," Computational Economics, Springer;Society for Computational Economics, vol. 45(2), pages 207-238, February.
    160. Nishiwaki, Takashi, 2022. "Impact of different investment horizons in heterogeneous agent models: Do long-term traders bring market stability?," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 393-401.
    161. de Jong, Eelke & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2010. "Heterogeneity of agents and exchange rate dynamics: Evidence from the EMS," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1652-1669, December.
    162. Sandrine Jacob Leal, 2015. "Fundamentalists, Chartists and Asset pricing anomalies," Post-Print hal-01508002, HAL.
    163. Andrea Gaunersdorfer & Cars Hommes & Florian O.O. Wagener, 2001. "Bifurcation Routes to Volatility Clustering," Tinbergen Institute Discussion Papers 01-015/1, Tinbergen Institute.
    164. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    165. Volker Bohm & Carl Chiarella, 2000. "Mean Variance Preferences, Expectations Formation, and the Dynamics of Random Asset Prices," Research Paper Series 46, Quantitative Finance Research Centre, University of Technology, Sydney.
    166. Liu, Yi-Fang & Zhang, Wei & Xu, Chao & Vitting Andersen, Jørgen & Xu, Hai-Chuan, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 204-215.
    167. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Post-Print halshs-00983051, HAL.
    168. F. Cavalli & A. Naimzada & N. Pecora & M. Pireddu, 2021. "Market sentiment and heterogeneous agents in an evolutive financial model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1189-1219, September.
    169. Orlando Gomes, 2010. "Consumer confidence, endogenous growth and endogenous cycles," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(4), pages 377-404, September.
    170. Vinod Cheriyan & Anton J. Kleywegt, 2016. "A dynamical systems model of price bubbles and cycles," Quantitative Finance, Taylor & Francis Journals, vol. 16(2), pages 309-336, February.
    171. Georges, Christophre & Wallace, John C., 2009. "Learning Dynamics And Nonlinear Misspecification In An Artificial Financial Market," Macroeconomic Dynamics, Cambridge University Press, vol. 13(5), pages 625-655, November.
    172. Hammad A. Siddiqi, 2006. "Is it Social Influence on Beliefs Under Ambiguity? A Possible Explanation for Volatility Clustering," Microeconomics Working Papers 22279, East Asian Bureau of Economic Research.
    173. Pyo, Dong-Jin, 2015. "Animal spirits and stock market dynamics," ISU General Staff Papers 201501010800005596, Iowa State University, Department of Economics.
    174. A. E. Biondo & A. Pluchino & A. Rapisarda & D. Helbing, 2013. "Are random trading strategies more successful than technical ones?," Papers 1303.4351, arXiv.org, revised Jul 2013.
    175. Gallegati, Mauro & Palestrini, Antonio & Rosser, J. Barkley, 2011. "The Period Of Financial Distress In Speculative Markets: Interacting Heterogeneous Agents And Financial Constraints," Macroeconomic Dynamics, Cambridge University Press, vol. 15(1), pages 60-79, February.
    176. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
    177. Fabio Tramontana, 2013. "The role of cognitively biased imitators in a small scale agent-based financial market," DEM Working Papers Series 029, University of Pavia, Department of Economics and Management.
    178. Yi-Fang Liu & Wei Zhang & Chao Xu & J{o}rgen Vitting Andersen & Hai-Chuan Xu, 2013. "Impact of information cost and switching of trading strategies in an artificial stock market," Papers 1311.4274, arXiv.org, revised Jul 2014.
    179. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.
    180. Soumya Datta, 2019. "Exchange rate dynamics under limits of arbitrage and heterogeneous expectations," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 521-550, September.
    181. Ahmad Naimzada & Marina Pireddu, 2014. "Real and financial interacting oscillators: a behavioral macro-model with animal spirits," Working Papers 268, University of Milano-Bicocca, Department of Economics, revised Feb 2014.
    182. Youwei Li & Xue-Zhong (Tony) He, 2005. "Heterogeneity, Profitability and Autocorrelations," Computing in Economics and Finance 2005 244, Society for Computational Economics.
    183. Hommes, C.H. & Huang, H. & Wang, D., 2002. "A Robust Rational Route to in a Simple Asset Pricing Model," CeNDEF Working Papers 02-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    184. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Documents de travail du Centre d'Economie de la Sorbonne 14031, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    185. Chiarella, Carl & He, Xue-Zhong & Hommes, Cars, 2006. "Moving average rules as a source of market instability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 12-17.
    186. Wenzelburger, Jan, 2004. "Learning to predict rationally when beliefs are heterogeneous," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 2075-2104, September.
    187. Tai, Chung-Ching & Chen, Shu-Heng & Yang, Lee-Xieng, 2018. "Cognitive ability and earnings performance: Evidence from double auction market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 409-440.
    188. Cavalli, Fausto & Naimzada, Ahmad & Pecora, Nicolò & Pireddu, Marina, 2018. "Market sentiment and heterogeneous fundamentalists in an evolutive financial market mode," MPRA Paper 90289, University Library of Munich, Germany.
    189. Siddiqi, Hammad, 2006. "Belief merging and revision under social influence: An explanation for the volatility clustering puzzle," MPRA Paper 657, University Library of Munich, Germany.

  112. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: III Basic Partial Feedback Structures and Stability Issues," Working Paper Series 95, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VII Intensive Form and Steady State Calculation in the Case of Substitution," Working Paper Series 99, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "Towards Applied Disequilibrium Growth Theory: IV Numerical Investigations of the Core 18D Model," Working Paper Series 96, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VI Substitution, Money-Holdings, Wealth-Effects and Further Extensions," Working Paper Series 98, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. Carl Chiarella & Peter Flaschel & Willi Semmler, 1999. "The Macrodynamics of Debt Deflation," SCEPA working paper series. 1999-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    6. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: II Intensive Form and Steady State Analysis of the Model," Working Paper Series 94, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    7. Carl Chiarella & Peter Flaschel, 2003. "Towards Applied Disequilibrium Growth Theory: V Housing Investment Cycles, Private Debt Accumulation and Deflation," Working Paper Series 97, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  113. Carl Chiarella & Oh-Kang Kwon, 1999. "Classes of Interest Rate Models Under the HJM Framework," Research Paper Series 13, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Andrew Matacz & Jean-Philippe Bouchaud, 1999. "An empirical investigation of the forward interest rate term structure," Science & Finance (CFM) working paper archive 500047, Science & Finance, Capital Fund Management.
    2. Chang, Chia-Chien, 2014. "Valuation Of Mortgage Insurance Contracts With Counterparty Default Risk: Reduced-Form Approach," ASTIN Bulletin, Cambridge University Press, vol. 44(2), pages 303-334, May.
    3. Carl Chiarella & Sara Pasquali & Wolfgang Runggaldier, 2001. "On Filtering in Markovian Term Structure Models (An Approximation Approach)," Research Paper Series 65, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Antje Berndt & Peter Ritchken & Zhiqiang Sun, 2010. "On Correlation and Default Clustering in Credit Markets," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2680-2729, July.
    5. Claudio Henrique da Silveira Barbedo & José Valentim Machado Vicente & Octávio Manuel Bessada Lion, 2009. "Pricing Asian Interest Rate Options with a Three-Factor HJM Model," Working Papers Series 188, Central Bank of Brazil, Research Department.
    6. Ballotta, Laura & Haberman, Steven, 2003. "Valuation of guaranteed annuity conversion options," Insurance: Mathematics and Economics, Elsevier, vol. 33(1), pages 87-108, August.
    7. Antje Berndt & Peter Ritchken & Zhiqiang Sun, "undated". "On Correlation Effects and Default Clustering in Credit Models," GSIA Working Papers 2008-E36, Carnegie Mellon University, Tepper School of Business.
    8. Ballotta, Laura & Haberman, Steven, 2006. "The fair valuation problem of guaranteed annuity options: The stochastic mortality environment case," Insurance: Mathematics and Economics, Elsevier, vol. 38(1), pages 195-214, February.
    9. Andrew Matacz & Jean-Philippe Bouchaud, 2000. "An Empirical Investigation Of The Forward Interest Rate Term Structure," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 703-729.
    10. Chiarella, Carl & Clewlow, Les & Musti, Silvana, 2005. "A volatility decomposition control variate technique for Monte Carlo simulations of Heath Jarrow Morton models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 325-336, March.
    11. Falini, Jury, 2010. "Pricing caps with HJM models: The benefits of humped volatility," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1358-1367, December.
    12. Rihab Bedoui & Islem Kedidi, 2018. "Modeling Longevity Risk using Consistent Dynamics Affine Mortality Models," Working Papers hal-01678050, HAL.
    13. Jury Falini, 2009. "Pricing caps with HJM models: the benefits of humped volatility," Department of Economics University of Siena 563, Department of Economics, University of Siena.
    14. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2010. "Markovian Defaultable HJM Term Structure Models with Unspanned Stochastic Volatility," Research Paper Series 283, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Andrew Matacz & Jean-Philippe Bouchaud, 1999. "Explaining the forward interest rate term structure," Science & Finance (CFM) working paper archive 500046, Science & Finance, Capital Fund Management.
    16. Andrew Matacz & Jean-Philippe Bouchaud, 2000. "Explaining The Forward Interest Rate Term Structure," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 381-389.
    17. Blackburn, Craig & Sherris, Michael, 2013. "Consistent dynamic affine mortality models for longevity risk applications," Insurance: Mathematics and Economics, Elsevier, vol. 53(1), pages 64-73.

  114. Carl Chiarella & Ferenz Szidarovszky, 1999. "The Birth of Limit Cycles in Nonlinear Oligopolies with Continuously Distributed Information Lags," Working Paper Series 87, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Chiarella, Carl & Szidarovszky, Ferenc, 2004. "Dynamic oligopolies without full information and with continuously distributed time lags," Journal of Economic Behavior & Organization, Elsevier, vol. 54(4), pages 495-511, August.
    2. Anufriev, Mikhail & Kopányi, Dávid, 2018. "Oligopoly game: Price makers meet price takers," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 84-103.
    3. Matsumoto, Akio & Chiarella, Carl & Szidarovszky, Ferenc, 2013. "Dynamic monopoly with bounded continuously distributed delay," Chaos, Solitons & Fractals, Elsevier, vol. 47(C), pages 66-72.

  115. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VI Substitution, Money-Holdings, Wealth-Effects and Further Extensions," Working Paper Series 98, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VII Intensive Form and Steady State Calculation in the Case of Substitution," Working Paper Series 99, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "Towards Applied Disequilibrium Growth Theory: IV Numerical Investigations of the Core 18D Model," Working Paper Series 96, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Flaschel, Peter & Greiner, Alfred, 2012. "Flexicurity Capitalism: Foundations, Problems, and Perspectives," OUP Catalogue, Oxford University Press, number 9780199751587.
    5. Carl Chiarella & Peter Flaschel & Willi Semmler, 1999. "The Macrodynamics of Debt Deflation," SCEPA working paper series. 1999-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    6. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: II Intensive Form and Steady State Analysis of the Model," Working Paper Series 94, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    7. Carl Chiarella & Peter Flaschel, 2003. "Towards Applied Disequilibrium Growth Theory: V Housing Investment Cycles, Private Debt Accumulation and Deflation," Working Paper Series 97, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  116. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VII Intensive Form and Steady State Calculation in the Case of Substitution," Working Paper Series 99, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "Towards Applied Disequilibrium Growth Theory: IV Numerical Investigations of the Core 18D Model," Working Paper Series 96, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VI Substitution, Money-Holdings, Wealth-Effects and Further Extensions," Working Paper Series 98, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Carl Chiarella & Peter Flaschel & Willi Semmler, 1999. "The Macrodynamics of Debt Deflation," SCEPA working paper series. 1999-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    5. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: II Intensive Form and Steady State Analysis of the Model," Working Paper Series 94, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Carl Chiarella & Peter Flaschel, 2003. "Towards Applied Disequilibrium Growth Theory: V Housing Investment Cycles, Private Debt Accumulation and Deflation," Working Paper Series 97, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  117. Carl Chiarella & Peter Flaschel, 1999. "Disequilibrium Growth Theory: Foundations, Synthesis, Perspectives," Working Paper Series 85, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Piero Manfredi & Luciano Fanti, 2006. "Demography In Macroeconomic Models: When Labour Supply Matters For Economic Cycles," Metroeconomica, Wiley Blackwell, vol. 57(4), pages 536-563, November.
    2. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VI Substitution, Money-Holdings, Wealth-Effects and Further Extensions," Working Paper Series 98, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Willi Semmler, 1999. "The Macrodynamics of Debt Deflation," SCEPA working paper series. 1999-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.

  118. Carl Chiarella & Xue-Zhong He, 1999. "The Dynamics of the Cobweb when Producers are Risk Averse Learners," Working Paper Series 90, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He, 2001. "Dynamics of Beliefs and Learning Under aL Processes - The Homogeneous Case," Research Paper Series 53, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Carl Chiarella & Tony He & Cars H. Hommes, 2005. "A Dynamic Analysis of Moving Average Rules," Tinbergen Institute Discussion Papers 05-057/1, Tinbergen Institute.
    3. Maciej K. Dudek, 2005. "Expectation Formation and Endogenous Fluctuations in Aggregate Demand," Computing in Economics and Finance 2005 263, Society for Computational Economics.
    4. Carl Chiarella & Xue-Zhong He, 2001. "Dynamics of Beliefs and Learning Under aL Processes - The Heterogeneous Case," Research Paper Series 55, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Peiyuan Zhu & Carl Chiarella & Tony He, 2003. "Fading Memory Learning in the Cobweb Model with Risk Averse Heterogeneous Producers," Computing in Economics and Finance 2003 31, Society for Computational Economics.
    6. Chiarella, Carl & He, Xue-Zhong & Hung, Hing & Zhu, Peiyuan, 2006. "An analysis of the cobweb model with boundedly rational heterogeneous producers," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 750-768, December.

  119. Carl Chiarella & Nadima El-Hassan, 1999. "Pricing American Interest Rate Options in a Heath-Jarrow-Morton Framework Using Method of Lines," Research Paper Series 12, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Derivative Security Pricing," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-662-45906-5, June.
    2. Chiarella, Carl & Clewlow, Les & Musti, Silvana, 2005. "A volatility decomposition control variate technique for Monte Carlo simulations of Heath Jarrow Morton models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 325-336, March.
    3. Andrew Ziogas, 2005. "Pricing American Options Using Fourier Analysis," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2005, January-A.
    4. Carl Chiarella & Oh-Kang Kwon, 1999. "Forward Rate Dependent Markovian Transformations of the Heath-Jarrow-Morton Term Structure Model," Research Paper Series 5, Quantitative Finance Research Centre, University of Technology, Sydney.

  120. Carl Chiarella & Peter Flaschel & Willi Semmler, 1999. "The Macrodynamics of Debt Deflation," SCEPA working paper series. 1999-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.

    Cited by:

    1. Gilberto Tadeu Lima & Antonio J. A. Meirelles, 2007. "Macrodynamics of debt regimes, financial instability and growth," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 31(4), pages 563-580, July.
    2. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," Documents de Travail de l'OFCE 2012-06, Observatoire Francais des Conjonctures Economiques (OFCE).
    3. Datta, Soumya, 2014. "Macrodynamics of debt-financed investment-led growth with interest rate rules," MPRA Paper 56713, University Library of Munich, Germany.
    4. Datta, Soumya, 2012. "Cycles and Crises in a Model of Debt-financed Investment-led Growth," MPRA Paper 50200, University Library of Munich, Germany, revised 12 Dec 2012.
    5. Sébastien Charles, 2008. "Teaching Minsky's financial instability hypothesis: a manageable suggestion," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 31(1), pages 125-138, September.
    6. Antonio Meirelles & Gilberto Lima, 2006. "Debt, financial fragility, and economic growth: a Post Keynesian macromodel," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 29(1), pages 93-115.
    7. Piero Ferri & Anna Maria Variato, 2007. "Endogenous Cycles, Debt and Monetary Policy," Working Papers (-2012) 0703, University of Bergamo, Department of Economics.
    8. Carl Chiarella & Peter Flaschel, 2003. "Towards Applied Disequilibrium Growth Theory: V Housing Investment Cycles, Private Debt Accumulation and Deflation," Working Paper Series 97, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    9. Fazzari, Steven & Ferri, Piero & Greenberg, Edward, 2008. "Cash flow, investment, and Keynes-Minsky cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 555-572, March.
    10. Fazzari, Steven M. & Ferri, Piero & Greenberg, Edward, 2010. "Investment and the Taylor rule in a dynamic Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2010-2022, October.

  121. Carl Chiarella & Peter Flaschel, 1999. "Applying Disequilibrium Growth Theory: Debt Effects and Debt Deflation," Computing in Economics and Finance 1999 714, Society for Computational Economics.

    Cited by:

    1. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VI Substitution, Money-Holdings, Wealth-Effects and Further Extensions," Working Paper Series 98, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Willi Semmler, 1999. "The Macrodynamics of Debt Deflation," SCEPA working paper series. 1999-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.

  122. Carl Chiarella & Oh-Kang Kwon, 1999. "Forward Rate Dependent Markovian Transformations of the Heath-Jarrow-Morton Term Structure Model," Research Paper Series 5, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Derivative Security Pricing," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-662-45906-5, June.
    2. Chen, Rui & Du, Ke, 2013. "A generalised arbitrage-free Nelson–Siegel model: The impact of unspanned stochastic volatility," Finance Research Letters, Elsevier, vol. 10(1), pages 41-48.
    3. Björk, Tomas, 2003. "On the Geometry of Interest Rate Models," SSE/EFI Working Paper Series in Economics and Finance 545, Stockholm School of Economics.
    4. Chiarella, Carl & Kang, Boda & Nikitopoulos, Christina Sklibosios & Tô, Thuy-Duong, 2013. "Humps in the volatility structure of the crude oil futures market: New evidence," Energy Economics, Elsevier, vol. 40(C), pages 989-1000.
    5. Boda Kang & Christina Sklibosios Nikitopoulos & Marcel Prokopczuk, 2019. "Economic Determinants of Oil Futures Volatility: A Term Structure Perspective," Research Paper Series 401, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Eckhard Platen & Stefan Tappe, 2011. "Affine Realizations for Levy Driven Interest Rate Models with Real-World Forward Rate Dynamics," Research Paper Series 289, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Björk, Tomas, 2000. "A Geometric View of Interest Rate Theory," SSE/EFI Working Paper Series in Economics and Finance 419, Stockholm School of Economics, revised 21 Dec 2000.
    8. Björk, Tomas & Svensson, Lars, 1999. "On the Existence of Finite Dimensional Realizations for Nonlinear Forward Rate Models," SSE/EFI Working Paper Series in Economics and Finance 338, Stockholm School of Economics.
    9. Damir Filipovi'c & Stefan Tappe, 2019. "Existence of L\'evy term structure models," Papers 1907.03561, arXiv.org.
    10. Carl Chiarella & Sara Pasquali & Wolfgang Runggaldier, 2001. "On Filtering in Markovian Term Structure Models (An Approximation Approach)," Research Paper Series 65, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Baaquie, Belal E. & Pan, Tang, 2011. "Simulation of coupon bond European and barrier options in quantum finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 263-289.
    12. Stefan Tappe, 2019. "An alternative approach on the existence of affine realizations for HJM term structure models," Papers 1907.03256, arXiv.org.
    13. Carl Chiarella & Oh-Kang Kwon, 2000. "A Class of Heath-Jarrow-Morton Term Structure Models with Stochastic Volatility," Research Paper Series 34, Quantitative Finance Research Centre, University of Technology, Sydney.
    14. Hans-Peter Bermin, 2014. "On Dynamic Forward Rate Modeling And Principal Component Analysis," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 17(05), pages 1-20.
    15. Damir Filipović & Stefan Tappe, 2008. "Existence of Lévy term structure models," Finance and Stochastics, Springer, vol. 12(1), pages 83-115, January.
    16. Carl Chiarella & Christina Nikitopoulos-Sklibosios, 2004. "A Class of Jump-Diffusion Bond Pricing Models within the HJM Framework," Research Paper Series 132, Quantitative Finance Research Centre, University of Technology, Sydney.
    17. Mark H. A. Davis & Vicente Mataix-Pastor, 2009. "Arbitrage-Free Interpolation Of The Swap Curve," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(07), pages 969-1005.
    18. Björk, Tomas & Landen, Camilla, 2000. "On the construction of finite dimensional realizations for nonlinear forward rate models," SSE/EFI Working Paper Series in Economics and Finance 420, Stockholm School of Economics.
    19. Ram Bhar & Carl Chiarella & Thuy-Duong To, 2004. "Estimating the Volatility Structure of an Arbitrage-Free Interest Rate Model Via the Futures Markets," Finance 0409003, University Library of Munich, Germany.
    20. Bjork, Tomas, 2009. "Arbitrage Theory in Continuous Time," OUP Catalogue, Oxford University Press, edition 3, number 9780199574742.
    21. Ram Bhar & Carl Chiarella & Nadima El-Hassan & Xiaosu Zheng, 2000. "The Reduction of Forward Rate Dependent Volatility HJM Models to Markovian Form: Pricing European Bond Option," Research Paper Series 36, Quantitative Finance Research Centre, University of Technology, Sydney.
    22. Carl Chiarella & Oh Kwon, 2003. "Finite Dimensional Affine Realisations of HJM Models in Terms of Forward Rates and Yields," Review of Derivatives Research, Springer, vol. 6(2), pages 129-155, May.
    23. Eusebio Valero & Manuel Torrealba & Lucas Lacasa & Franc{c}ois Fraysse, 2011. "Fast resolution of a single factor Heath-Jarrow-Morton model with stochastic volatility," Papers 1108.1688, arXiv.org.
    24. Mikael Elhouar, 2008. "Finite-dimensional Realizations of Regime-switching HJM Models," Applied Mathematical Finance, Taylor & Francis Journals, vol. 15(4), pages 331-354.
    25. Chiarella, Carl & Clewlow, Les & Musti, Silvana, 2005. "A volatility decomposition control variate technique for Monte Carlo simulations of Heath Jarrow Morton models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 325-336, March.
    26. Christina Nikitopoulos-Sklibosios, 2005. "A Class of Markovian Models for the Term Structure of Interest Rates Under Jump-Diffusions," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2005, January-A.
    27. Gapeev, Pavel V. & Küchler, Uwe, 2003. "On Markovian Short Rates in Term Structure Models Driven by Jump-Diffusion Processes," SFB 373 Discussion Papers 2003,44, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    28. Falini, Jury, 2010. "Pricing caps with HJM models: The benefits of humped volatility," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1358-1367, December.
    29. Björk, Tomas & Landén, Camilla & Svensson, Lars, 2002. "Finite dimensional Markovian realizations for stochastic volatility forward rate models," SSE/EFI Working Paper Series in Economics and Finance 498, Stockholm School of Economics, revised 07 May 2002.
    30. Benjamin Cheng & Christina Nikitopoulos-Sklibosios & Erik Schlogl, 2015. "Pricing of Long-dated Commodity Derivatives with Stochastic Volatility and Stochastic Interest Rates," Research Paper Series 366, Quantitative Finance Research Centre, University of Technology, Sydney.
    31. Stefan Tappe, 2019. "Existence of affine realizations for L\'evy term structure models," Papers 1907.02363, arXiv.org.
    32. Carl Chiarella & Sara Pasquali & Wolfgang J. Runggaldier, 2001. "On Filtering in Markovian Term Structure Models," World Scientific Book Chapters, in: Jiongmin Yong (ed.), Recent Developments In Mathematical Finance, chapter 12, pages 139-150, World Scientific Publishing Co. Pte. Ltd..
    33. Benjamin Tin Chun Cheng, 2017. "Pricing and Hedging of Long-Dated Commodity Derivatives," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2017, January-A.
    34. Carl Chiarella & Hing Hung & Thuy-Duong To, 2005. "The Volatility Structure of the Fixed Income Market under the HJM Framework: A Nonlinear Filtering Approach," Research Paper Series 151, Quantitative Finance Research Centre, University of Technology, Sydney.
    35. Ram Bhar & Carl Chiarella & Thuy Duong To, 2002. "A Maximum Likelihood Approach to Estimation of Heath-Jarrow-Morton Models," Research Paper Series 80, Quantitative Finance Research Centre, University of Technology, Sydney.
    36. Jury Falini, 2009. "Pricing caps with HJM models: the benefits of humped volatility," Department of Economics University of Siena 563, Department of Economics, University of Siena.
    37. Carl Chiarella & Oh-Kang Kwon, 2000. "A Complete Stochastic Volatility Model in the HJM Framework," Research Paper Series 43, Quantitative Finance Research Centre, University of Technology, Sydney.
    38. Ram Bhar & Carl Chiarella, 2000. "Approximating Heath-Jarrow-Morton Non-Markovian Term Structure of Interest Rate Models with Markovian Systems," Working Paper Series 76, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    39. Carl Chiarella & Oh-Kang Kwon, 2001. "State Variables and the Affine Nature of Markovian HJM Term Structure Models," Research Paper Series 52, Quantitative Finance Research Centre, University of Technology, Sydney.
    40. Gapeev Pavel V. & Küchler Uwe, 2006. "On Markovian short rates in term structure models driven by jump-diffusion processes," Statistics & Risk Modeling, De Gruyter, vol. 24(2), pages 255-271, December.

  123. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VII Intensive Form and Steady State Calculation in the Case of Substitution," Working Paper Series 99, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "Towards Applied Disequilibrium Growth Theory: IV Numerical Investigations of the Core 18D Model," Working Paper Series 96, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VI Substitution, Money-Holdings, Wealth-Effects and Further Extensions," Working Paper Series 98, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Carl Chiarella & Peter Flaschel & Willi Semmler, 1999. "The Macrodynamics of Debt Deflation," SCEPA working paper series. 1999-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    5. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: II Intensive Form and Steady State Analysis of the Model," Working Paper Series 94, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Carl Chiarella & Peter Flaschel, 2003. "Towards Applied Disequilibrium Growth Theory: V Housing Investment Cycles, Private Debt Accumulation and Deflation," Working Paper Series 97, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  124. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: II Intensive Form and Steady State Analysis of the Model," Working Paper Series 94, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VII Intensive Form and Steady State Calculation in the Case of Substitution," Working Paper Series 99, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "Towards Applied Disequilibrium Growth Theory: IV Numerical Investigations of the Core 18D Model," Working Paper Series 96, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VI Substitution, Money-Holdings, Wealth-Effects and Further Extensions," Working Paper Series 98, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. Carl Chiarella & Peter Flaschel & Willi Semmler, 1999. "The Macrodynamics of Debt Deflation," SCEPA working paper series. 1999-04, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    6. Pu Chen & Carl Chiarella & Peter Flaschel & Willi Semmler, 2006. "The feedback channels in macroeconomics: analytical foundations for structural econometric model building," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(3), pages 261-288, September.
    7. Carl Chiarella & Peter Flaschel, 2003. "Towards Applied Disequilibrium Growth Theory: V Housing Investment Cycles, Private Debt Accumulation and Deflation," Working Paper Series 97, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  125. Carl Chiarella & Nadima El-Hassan, 1997. "Evaluation of Derivative Security Prices in the Heath-Jarrow-Morton Framework as Path Integrals Using Fast Fourier Transform Techniques," Working Paper Series 72, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Belal E. Baaquie, 1998. "Quantum Field Theory of Treasury Bonds," Papers cond-mat/9809199, arXiv.org.
    2. Marco Rosa-Clot & Stefano Taddei, 2002. "A Path Integral Approach To Derivative Security Pricing Ii: Numerical Methods," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 123-146.
    3. Slanina, Frantisek, 2013. "Essentials of Econophysics Modelling," OUP Catalogue, Oxford University Press, number 9780199299683.
    4. Giacomo Bormetti & Sofia Cazzaniga, 2011. "Multiplicative noise, fast convolution, and pricing," Papers 1107.1451, arXiv.org.
    5. Andrew Matacz, 2000. "Path dependent option pricing: the path integral partial averaging method," Science & Finance (CFM) working paper archive 500034, Science & Finance, Capital Fund Management.
    6. Andrew Matacz, 2000. "Path Dependent Option Pricing: the path integral partial averaging method," Papers cond-mat/0005319, arXiv.org.
    7. Belal E. Baaquie & Marakani Srikant & Mitch Warachka, 2002. "A Quantum Field Theory Term Structure Model Applied to Hedging," Papers cond-mat/0206457, arXiv.org.
    8. Ramaprasad Bhar, 2010. "Stochastic Filtering with Applications in Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7736.
    9. Carl Chiarella & Nadima El-Hassan & Adam Kucera, 2004. "Evaluation of Point Barrier Options in a Path Integral Framework Using Fourier-Hermite Expansions," Research Paper Series 126, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Belal E. Baaquie & Marakani Srikant & Mitch C. Warachka, 2003. "A Quantum Field Theory Term Structure Model Applied to Hedging," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 6(05), pages 443-467.
    11. Chiarella, Carl & El-Hassan, Nadima & Kucera, Adam, 1999. "Evaluation of American option prices in a path integral framework using Fourier-Hermite series expansions," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1387-1424, September.
    12. Giacomo Bormetti & Sofia Cazzaniga, 2014. "Multiplicative noise, fast convolution and pricing," Quantitative Finance, Taylor & Francis Journals, vol. 14(3), pages 481-494, March.
    13. Carl Chiarella & Nadima El-Hassan, 1999. "Pricing American Interest Rate Options in a Heath-Jarrow-Morton Framework Using Method of Lines," Research Paper Series 12, Quantitative Finance Research Centre, University of Technology, Sydney.
    14. Sella Lisa, 2008. "Old and New Spectral Techniques for Economic Time Series," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200809, University of Turin.
    15. DECAMPS, Marc & DE SCHEPPER, Ann & GOOVAERTS, Marc, "undated". "Path integrals as a tool for pricing interest rate contingent claims: The case of reflecting and absorbing boundaries," Working Papers 2003027, University of Antwerp, Faculty of Business and Economics.
    16. Ramaprasad Bhar & Carl Chiarella, 1997. "Interest rate futures: estimation of volatility parameters in an arbitrage-free framework," Applied Mathematical Finance, Taylor & Francis Journals, vol. 4(4), pages 181-199.

  126. Carl Chiarella & Nadima El-Hassan, 1996. "A Preference Free Partial Differential Equation for the Term Structure of Interest Rates," Working Paper Series 63, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Nadima El-Hassan, 1997. "Evaluation of Derivative Security Prices in the Heath-Jarrow-Morton Framework as Path Integrals Using Fast Fourier Transform Techniques," Working Paper Series 72, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Derivative Security Pricing," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-662-45906-5, June.
    3. Carl Chiarella & Christina Nikitopoulos-Sklibosios, 2004. "A Class of Jump-Diffusion Bond Pricing Models within the HJM Framework," Research Paper Series 132, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Ramaprasad Bhar, 2010. "Stochastic Filtering with Applications in Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7736.
    5. Christina Nikitopoulos-Sklibosios, 2005. "A Class of Markovian Models for the Term Structure of Interest Rates Under Jump-Diffusions," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2005, January-A.
    6. Carl Chiarella & Nadima El-Hassan, 1999. "Pricing American Interest Rate Options in a Heath-Jarrow-Morton Framework Using Method of Lines," Research Paper Series 12, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Ramaprasad Bhar & Carl Chiarella, 1997. "Interest rate futures: estimation of volatility parameters in an arbitrage-free framework," Applied Mathematical Finance, Taylor & Francis Journals, vol. 4(4), pages 181-199.

  127. Ram Bhar & Carl Chiarella, 1995. "The Estimation of the Heath-Jarrow-Morton Model by Use of Kalman Filtering Techniques," Working Paper Series 54, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Olivier Feron & Pierre Gruet, 2020. "Estimation of the number of factors in a multi-factorial Heath-Jarrow-Morton model in electricity markets," Working Papers hal-02880824, HAL.
    2. Robert J. Elliott & John W. Lau & Hong Miao & Tak Kuen Siu, 2012. "Viterbi-Based Estimation for Markov Switching GARCH Model," Applied Mathematical Finance, Taylor & Francis Journals, vol. 19(3), pages 219-231, August.
    3. Gombani, Andrea & Jaschke, Stefan R. & Runggaldier, Wolfgang J., 2005. "A filtered no arbitrage model for term structures from noisy data," Stochastic Processes and their Applications, Elsevier, vol. 115(3), pages 381-400, March.
    4. Ram Bhar & Carl Chiarella, 1995. "Transformation of Heath-Jarrow-Morton Models to Markovian Systems," Working Paper Series 53, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. Ram Bhar & Carl Chiarella, 1996. "Bootstrap Results From the State Space From Representation of the Heath-Jarrow-Morton Model," Working Paper Series 66, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Ramaprasad Bhar, 2010. "Stochastic Filtering with Applications in Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7736.
    7. Wolfgang Lemke & Deutsche Bundesbank, 2006. "Term Structure Modeling and Estimation in a State Space Framework," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-540-28344-7, December.
    8. Ram Bhar & Carl Chiarella, 1996. "Construction of Zero-Coupon Yield Curve From Coupon Bond Yield Using Australian Data," Working Paper Series 70, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    9. Andrea Gombani & Wolfgang J. Runggaldier, 2001. "A Filtering Approach To Pricing In Multifactor Term Structure Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 303-320.
    10. Valerii Maltsev & Michael Pokojovy, 2021. "Applying Heath-Jarrow-Morton Model to Forecasting the US Treasury Daily Yield Curve Rates," Mathematics, MDPI, vol. 9(2), pages 1-25, January.

  128. Ram Bhar & Carl Chiarella, 1995. "Transformation of Heath-Jarrow-Morton Models to Markovian Systems," Working Paper Series 53, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Haitao Li & Xiaoxia Ye, 2013. "A Type of HJM Based Affine Model: Theory and Empirical Evidence," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    2. Carl Chiarella & Nadima El-Hassan, 1997. "Evaluation of Derivative Security Prices in the Heath-Jarrow-Morton Framework as Path Integrals Using Fast Fourier Transform Techniques," Working Paper Series 72, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Derivative Security Pricing," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-662-45906-5, June.
    4. Ram Bhar & Carl Chiarella, 2000. "Infering Forward Looking Financial Market Risk Premia from Derivatives Prices," Research Paper Series 42, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Ingo Beyna, 2013. "The Cheyette Model Class," Lecture Notes in Economics and Mathematical Systems, in: Interest Rate Derivatives, edition 127, chapter 0, pages 3-15, Springer.
    6. Carl Chiarella & Oh-Kang Kwon, 1999. "Classes of Interest Rate Models Under the HJM Framework," Research Paper Series 13, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Björk, Tomas, 2003. "On the Geometry of Interest Rate Models," SSE/EFI Working Paper Series in Economics and Finance 545, Stockholm School of Economics.
    8. Junwu Gan, 2014. "An almost Markovian LIBOR market model calibrated to caps and swaptions," Quantitative Finance, Taylor & Francis Journals, vol. 14(11), pages 1937-1959, November.
    9. Eckhard Platen & Stefan Tappe, 2011. "Affine Realizations for Levy Driven Interest Rate Models with Real-World Forward Rate Dynamics," Research Paper Series 289, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Li, Haitao & Ye, Xiaoxia & Yu, Fan, 2020. "Unifying Gaussian dynamic term structure models from a Heath–Jarrow–Morton perspective," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1153-1167.
    11. Björk, Tomas, 2000. "A Geometric View of Interest Rate Theory," SSE/EFI Working Paper Series in Economics and Finance 419, Stockholm School of Economics, revised 21 Dec 2000.
    12. Björk, Tomas & Svensson, Lars, 1999. "On the Existence of Finite Dimensional Realizations for Nonlinear Forward Rate Models," SSE/EFI Working Paper Series in Economics and Finance 338, Stockholm School of Economics.
    13. Damir Filipovi'c & Stefan Tappe, 2019. "Existence of L\'evy term structure models," Papers 1907.03561, arXiv.org.
    14. Küchler, Uwe & Naumann, Eva, 2003. "Markovian short rates in a forward rate model with a general class of Lévy processes," SFB 373 Discussion Papers 2003,6, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    15. Carl Chiarella & Erik Schlögl & Christina Nikitopoulos-Sklibosios, 2004. "A Markovian Defaultable Term Structure Model with State Dependent Volatilities," Research Paper Series 135, Quantitative Finance Research Centre, University of Technology, Sydney.
    16. Stefan Tappe, 2019. "An alternative approach on the existence of affine realizations for HJM term structure models," Papers 1907.03256, arXiv.org.
    17. Carl Chiarella & Oh-Kang Kwon, 2000. "A Class of Heath-Jarrow-Morton Term Structure Models with Stochastic Volatility," Research Paper Series 34, Quantitative Finance Research Centre, University of Technology, Sydney.
    18. Carl Chiarella & Nadima El-Hassan, 1996. "A Preference Free Partial Differential Equation for the Term Structure of Interest Rates," Working Paper Series 63, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    19. Antje Berndt & Peter Ritchken & Zhiqiang Sun, 2010. "On Correlation and Default Clustering in Credit Markets," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2680-2729, July.
    20. Damir Filipović & Stefan Tappe, 2008. "Existence of Lévy term structure models," Finance and Stochastics, Springer, vol. 12(1), pages 83-115, January.
    21. Carl Chiarella & Christina Nikitopoulos-Sklibosios, 2004. "A Class of Jump-Diffusion Bond Pricing Models within the HJM Framework," Research Paper Series 132, Quantitative Finance Research Centre, University of Technology, Sydney.
    22. Björk, Tomas & Landen, Camilla, 2000. "On the construction of finite dimensional realizations for nonlinear forward rate models," SSE/EFI Working Paper Series in Economics and Finance 420, Stockholm School of Economics.
    23. Ram Bhar & Carl Chiarella & Thuy-Duong To, 2004. "Estimating the Volatility Structure of an Arbitrage-Free Interest Rate Model Via the Futures Markets," Finance 0409003, University Library of Munich, Germany.
    24. Peter Ritchken & Iyuan Chuang, 2000. "Interest rate option pricing with volatility humps," Review of Derivatives Research, Springer, vol. 3(3), pages 237-262, October.
    25. Bjork, Tomas, 2009. "Arbitrage Theory in Continuous Time," OUP Catalogue, Oxford University Press, edition 3, number 9780199574742.
    26. Ram Bhar & Carl Chiarella & Nadima El-Hassan & Xiaosu Zheng, 2000. "The Reduction of Forward Rate Dependent Volatility HJM Models to Markovian Form: Pricing European Bond Option," Research Paper Series 36, Quantitative Finance Research Centre, University of Technology, Sydney.
    27. Ram Bhar & Carl Chiarella, 1996. "Bootstrap Results From the State Space From Representation of the Heath-Jarrow-Morton Model," Working Paper Series 66, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    28. Carl Chiarella & Oh Kwon, 2003. "Finite Dimensional Affine Realisations of HJM Models in Terms of Forward Rates and Yields," Review of Derivatives Research, Springer, vol. 6(2), pages 129-155, May.
    29. Anders B. Trolle & Eduardo S. Schwartz, 2006. "Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives," NBER Working Papers 12744, National Bureau of Economic Research, Inc.
    30. Gibson, Rajna & Lhabitant, Francois-Serge & Talay, Denis, 2010. "Modeling the Term Structure of Interest Rates: A Review of the Literature," Foundations and Trends(R) in Finance, now publishers, vol. 5(1–2), pages 1-156, December.
    31. Antje Berndt & Peter Ritchken & Zhiqiang Sun, "undated". "On Correlation Effects and Default Clustering in Credit Models," GSIA Working Papers 2008-E36, Carnegie Mellon University, Tepper School of Business.
    32. Mikael Elhouar, 2008. "Finite-dimensional Realizations of Regime-switching HJM Models," Applied Mathematical Finance, Taylor & Francis Journals, vol. 15(4), pages 331-354.
    33. Ingo Beyna & Carl Chiarella & Boda Kang, 2012. "Pricing Interest Rate Derivatives in a Multifactor HJM Model with Time," Research Paper Series 317, Quantitative Finance Research Centre, University of Technology, Sydney.
    34. Chiarella, Carl & Clewlow, Les & Musti, Silvana, 2005. "A volatility decomposition control variate technique for Monte Carlo simulations of Heath Jarrow Morton models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 325-336, March.
    35. Anders B. Trolle & Eduardo S. Schwartz, 2009. "Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives," The Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4423-4461, November.
    36. Ramaprasad Bhar, 2010. "Stochastic Filtering with Applications in Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7736.
    37. Christina Nikitopoulos-Sklibosios, 2005. "A Class of Markovian Models for the Term Structure of Interest Rates Under Jump-Diffusions," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2005, January-A.
    38. Gapeev, Pavel V. & Küchler, Uwe, 2003. "On Markovian Short Rates in Term Structure Models Driven by Jump-Diffusion Processes," SFB 373 Discussion Papers 2003,44, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    39. Anders B. Trolle & Eduardo S. Schwartz, 2009. "A General Stochastic Volatility Model for the Pricing of Interest Rate Derivatives," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 2007-2057, May.
    40. Björk, Tomas & Landén, Camilla & Svensson, Lars, 2002. "Finite dimensional Markovian realizations for stochastic volatility forward rate models," SSE/EFI Working Paper Series in Economics and Finance 498, Stockholm School of Economics, revised 07 May 2002.
    41. Stefan Tappe, 2019. "Existence of affine realizations for L\'evy term structure models," Papers 1907.02363, arXiv.org.
    42. Carl Chiarella & Hing Hung & Thuy-Duong To, 2005. "The Volatility Structure of the Fixed Income Market under the HJM Framework: A Nonlinear Filtering Approach," Research Paper Series 151, Quantitative Finance Research Centre, University of Technology, Sydney.
    43. Ram Bhar & Carl Chiarella, 1995. "The Estimation of the Heath-Jarrow-Morton Model by Use of Kalman Filtering Techniques," Working Paper Series 54, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    44. Ram Bhar & Carl Chiarella & Thuy Duong To, 2002. "A Maximum Likelihood Approach to Estimation of Heath-Jarrow-Morton Models," Research Paper Series 80, Quantitative Finance Research Centre, University of Technology, Sydney.
    45. Gonzalo Cortazar & Simon Gutierrez & Hector Ortega, 2016. "Empirical Performance of Commodity Pricing Models: When is it Worthwhile to Use a Stochastic Volatility Specification?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 457-487, May.
    46. Massimo Costabile & Ivar Massabó & Emilio Russo, 2013. "A Path-Independent Humped Volatility Model for Option Pricing," Applied Mathematical Finance, Taylor & Francis Journals, vol. 20(3), pages 191-210, July.
    47. Dai, Qiang & Singleton, Kenneth J., 2003. "Fixed-income pricing," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 20, pages 1207-1246, Elsevier.
    48. Ingo Beyna, 2013. "Interest Rate Derivatives," Lecture Notes in Economics and Mathematical Systems, Springer, edition 127, number 978-3-642-34925-6, December.
    49. Samuel Chege Maina, 2011. "Credit Risk Modelling in Markovian HJM Term Structure Class of Models with Stochastic Volatility," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2011, January-A.
    50. Carl Chiarella & Oh-Kang Kwon, 1999. "Forward Rate Dependent Markovian Transformations of the Heath-Jarrow-Morton Term Structure Model," Research Paper Series 5, Quantitative Finance Research Centre, University of Technology, Sydney.
    51. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2010. "Markovian Defaultable HJM Term Structure Models with Unspanned Stochastic Volatility," Research Paper Series 283, Quantitative Finance Research Centre, University of Technology, Sydney.
    52. Ben Hunt, 1995. "Fitting Parsimonious Yield Curve Models to Australian Coupon Bond Data," Working Paper Series 51, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    53. Ram Bhar & Carl Chiarella, 1996. "Construction of Zero-Coupon Yield Curve From Coupon Bond Yield Using Australian Data," Working Paper Series 70, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    54. Ram Bhar & Carl Chiarella & Wolfgang Runggaldier, 2001. "Estimation in Models of the Instantaneous Short Term Interest Rate By Use of a Dynamic Bayesian Algorithm," Research Paper Series 68, Quantitative Finance Research Centre, University of Technology, Sydney.
    55. Carl Chiarella & Oh-Kang Kwon, 2000. "A Complete Stochastic Volatility Model in the HJM Framework," Research Paper Series 43, Quantitative Finance Research Centre, University of Technology, Sydney.
    56. Carl Chiarella & Nadima El-Hassan, 1999. "Pricing American Interest Rate Options in a Heath-Jarrow-Morton Framework Using Method of Lines," Research Paper Series 12, Quantitative Finance Research Centre, University of Technology, Sydney.
    57. Ram Bhar & Carl Chiarella, 2000. "Approximating Heath-Jarrow-Morton Non-Markovian Term Structure of Interest Rate Models with Markovian Systems," Working Paper Series 76, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    58. Junwu Gan, 2005. "Analytic Backward Induction Of Option Cash Flows: A New Application Paradigm For The Markovian Interest Rate Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 8(08), pages 1019-1057.
    59. Ramaprasad Bhar & Carl Chiarella, 1997. "Interest rate futures: estimation of volatility parameters in an arbitrage-free framework," Applied Mathematical Finance, Taylor & Francis Journals, vol. 4(4), pages 181-199.
    60. Duffie, Darrell, 2003. "Intertemporal asset pricing theory," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 11, pages 639-742, Elsevier.
    61. Iyuan Chuang & Peter H. Ritchken, 1997. "Interest rate option pricing with volatility humps," Working Papers (Old Series) 9714, Federal Reserve Bank of Cleveland.
    62. Ram Bhar & Carl Chiarella & Hing Hung & Wolfgang Runggaldier, 2004. "The Volatility of the Instantaneous Spot Interest Rate Implied by Arbitrage Pricing - A Dynamic Bayesian Approach," Finance 0409002, University Library of Munich, Germany.
    63. Carl Chiarella & Oh-Kang Kwon, 2001. "State Variables and the Affine Nature of Markovian HJM Term Structure Models," Research Paper Series 52, Quantitative Finance Research Centre, University of Technology, Sydney.
    64. Gapeev Pavel V. & Küchler Uwe, 2006. "On Markovian short rates in term structure models driven by jump-diffusion processes," Statistics & Risk Modeling, De Gruyter, vol. 24(2), pages 255-271, December.

  129. Carl Chiarella & Peter Flaschel, 1995. "Keynesian Monetary Growth Dynamics: The Missing Prototype," Working Paper Series 52, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Peter Flaschel, 1999. "Disequilibrium Growth Theory: Foundations, Synthesis, Perspectives," Working Paper Series 85, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  130. Carl Chiarella & Koji Okuguchi, 1995. "A Dynamic Analysis of Cournot Duopoly in Imperfectly Competitive Product and Factor Markets," Working Paper Series 43, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Bondarev, Anton & Greiner, Alfred, 2017. "Catching-up and falling behind: Effects of learning in an R&D differential game with spillovers," Working papers 2017/02, Faculty of Business and Economics - University of Basel.
    2. Ahmad Naimzada & Marina Pireddu, 2023. "Dynamic approaches for the evaluation of the environmental policy efficacy in a nonlinear Cournot duopoly with differentiated goods and emission charges," Working Papers 517, University of Milano-Bicocca, Department of Economics.

  131. Ram Bhar & Carl Chiarella, 1995. "Estimating the Term Structure of Volatility in Futures Yield - A Maximum Likelihood Approach," Working Paper Series 56, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Ram Bhar & Carl Chiarella, 1996. "Construction of Zero-Coupon Yield Curve From Coupon Bond Yield Using Australian Data," Working Paper Series 70, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  132. Ram Bhar & Carl Chiarella, 1995. "Interest Rate Futures: Estimation of Volatility Parameters in an Arbitrage-Free Framework," Working Paper Series 55, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Derivative Security Pricing," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-662-45906-5, June.
    2. Shin Ichi Aihara & Arunabha Bagchi, 2010. "Identification Of Affine Term Structures From Yield Curve Data," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 259-283.
    3. Ram Bhar & Carl Chiarella & Toan Pham, 2000. "Modeling the Currency Forward Risk Premium: Theory and Evidence," Research Paper Series 41, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Gombani, Andrea & Jaschke, Stefan R. & Runggaldier, Wolfgang J., 2005. "A filtered no arbitrage model for term structures from noisy data," Stochastic Processes and their Applications, Elsevier, vol. 115(3), pages 381-400, March.
    5. Yassine El Qalli, 2010. "Recursive Bayesian Estimation In Forward Price Models Implied By Fair Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 301-333.
    6. Ram Bhar & Carl Chiarella & Thuy Duong To, 2002. "A Maximum Likelihood Approach to Estimation of Heath-Jarrow-Morton Models," Research Paper Series 80, Quantitative Finance Research Centre, University of Technology, Sydney.
    7. Ram Bhar & Carl Chiarella, 1996. "Construction of Zero-Coupon Yield Curve From Coupon Bond Yield Using Australian Data," Working Paper Series 70, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    8. Andrea Gombani & Wolfgang J. Runggaldier, 2001. "A Filtering Approach To Pricing In Multifactor Term Structure Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 303-320.

  133. Carl Chiarella, 1992. "Developments in Nonlinear Economic Dynamics: Past, Present and Future," Working Paper Series 14, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Orlando Gomes, 2006. "Endogenous Business Cycles in the Ramsey Growth Model," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 9(2), pages 13-36, November.
    2. Orlando Gomes, 2006. "Routes to chaos in macroeconomic theory," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 33(6), pages 437-468, November.
    3. Foroni, Ilaria & Agliari, Anna, 2011. "Complex dynamics associated with the appearance/disappearance of invariant closed curves," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(8), pages 1640-1655.
    4. Orlando Gomes, 2007. "Imperfect Demand Expectations and Endogenous Business Cycles," Money Macro and Finance (MMF) Research Group Conference 2006 127, Money Macro and Finance Research Group.
    5. Gomes, Orlando, 2008. "Too much of a good thing: Endogenous business cycles generated by bounded technological progress," Economic Modelling, Elsevier, vol. 25(5), pages 933-945, September.
    6. Christian Lax & Torsten Trimborn, 2019. "From Disequilibrium Markets to Equilibrium," Papers 1912.09679, arXiv.org.

  134. Carl Chiarella, 1992. "The Dynamics of Speculative Behaviour," Working Paper Series 13, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-varying economic dominance in financial markets: A bistable dynamics approach," Published Paper Series 2018-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "Statistical Properties of a Heterogeneous Asset Price Model with Time-Varying Second Moment," Research Paper Series 142, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Schmitt, Noemi & Westerhoff, Frank, 2017. "On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations," BERG Working Paper Series 119, Bamberg University, Bamberg Economic Research Group.
    4. Tramontana, Fabio & Westerhoff, Frank & Gardini, Laura, 2010. "On the complicated price dynamics of a simple one-dimensional discontinuous financial market model with heterogeneous interacting traders," Journal of Economic Behavior & Organization, Elsevier, vol. 74(3), pages 187-205, June.
    5. Torsten Trimborn, 2018. "A Macroscopic Portfolio Model: From Rational Agents to Bounded Rationality," Papers 1805.11036, arXiv.org, revised Oct 2018.
    6. Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
    7. Xue-Zhong (Tony) He & Carl Chiarella, 2001. "Asset Price and Wealth Dynamics under Heterogeneous Expectations," CeNDEF Workshop Papers, January 2001 5A.2, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    8. Serena Sordi & Marwil J. Dávila-Fernández, 2020. "Investment behaviour and “bull & bear” dynamics: modelling real and stock market interactions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 867-897, October.
    9. Cars H. Hommes, 2001. "Financial Markets as Nonlinear Adaptive Evolutionary Systems," Tinbergen Institute Discussion Papers 01-014/1, Tinbergen Institute.
    10. Roberto Dieci & Ilaria Foroni & Laura Gardini & Xue-Zhong He, 2005. "Market Mood, Adaptive Beliefs and Asset Price Dynamics," Research Paper Series 162, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Federico Guglielmo Morelli & Michael Benzaquen & Marco Tarzia & Jean-Philippe Bouchaud, 2020. "Confidence collapse in a multihousehold, self-reflexive DSGE model," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(17), pages 9244-9249, April.
    12. Sandra GØth & Sven Ludwig, 2000. "How helpful is a long memory on financial markets?," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 16(1), pages 107-134.
    13. Grosche, Stephanie & Heckelei, Thomas, 2014. "Price dynamics and financialization effects in corn futures markets with heterogeneous traders," Discussion Papers 172077, University of Bonn, Institute for Food and Resource Economics.
    14. Westerhoff Frank H. & Reitz Stefan, 2003. "Nonlinearities and Cyclical Behavior: The Role of Chartists and Fundamentalists," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-15, December.
    15. Fabio Tramontana & Laura Gardini & Roberto Dieci & Frank Westerhoff, 2009. "The Emergence of Bull and Bear Dynamics in a Nonlinear Model of Interacting Markets," Discrete Dynamics in Nature and Society, Hindawi, vol. 2009, pages 1-30, July.
    16. Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2013. "Asset Price Dynamics with Heterogeneous Beliefs and Local Network Interactions," Discussion Papers 2013-18, School of Economics, The University of New South Wales.
    17. C. Chiarella & P. Khomin, 1999. "Adaptively evolving expectations in models of monetarydynamics‐ The fundamentalists forward looking," Annals of Operations Research, Springer, vol. 89(0), pages 21-34, January.
    18. Rhys ap Gwilym, 2010. "The Monetary Policy Implications of Behavioural Asset Bubbles," Working Papers 10011, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    19. Diks, C.G.H. & Dindo, P.D.E., 2006. "Informational differences and learning in an asset market with boundedly rational agents," CeNDEF Working Papers 06-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    20. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, March.
    21. Westerhoff, Frank & Franke, Reiner, 2012. "Agent-based models for economic policy design: Two illustrative examples," BERG Working Paper Series 88, Bamberg University, Bamberg Economic Research Group.
    22. Mikhail Anufriev, 2008. "Wealth-driven competition in a speculative financial market: examples with maximizing agents," Quantitative Finance, Taylor & Francis Journals, vol. 8(4), pages 363-380.
    23. Westerhoff, Frank H. & Dieci, Roberto, 2006. "The effectiveness of Keynes-Tobin transaction taxes when heterogeneous agents can trade in different markets: A behavioral finance approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 293-322, February.
    24. Chiarella, Carl & He, Xue-Zhong, 2002. "Heterogeneous Beliefs, Risk and Learning in a Simple Asset Pricing Model," Computational Economics, Springer;Society for Computational Economics, vol. 19(1), pages 95-132, February.
    25. Carl Chiarella & Corrado Di Guilmi, 2011. "Limit Distribution of Evolving Strategies in Financial Markets," Research Paper Series 294, Quantitative Finance Research Centre, University of Technology, Sydney.
    26. A. Tedeschi & A. De Martino & I. Giardina, 2005. "Coordination, intermittency and trends in generalized Minority Games," Papers cond-mat/0503762, arXiv.org.
    27. He, Xue-Zhong & Westerhoff, Frank H., 2005. "Commodity markets, price limiters and speculative price dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 29(9), pages 1577-1596, September.
    28. Ling Zhang & Wenlong Bian & Hao Zhang, 2019. "Dissecting the myth of the house price in Chinese metropolises: allowing for behavioral heterogeneity among investors," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 721-740, December.
    29. Chiarella, Carl & He, Xue-Zhong & Wang, Duo & Zheng, Min, 2008. "The stochastic bifurcation behaviour of speculative financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3837-3846.
    30. Christian Bauer & Paul De Grauwe & Stefan Reitz, 2007. "Exchange Rates Dynamics in a Target Zone – A Heterogeneous Expectations Approach," CESifo Working Paper Series 2080, CESifo.
    31. LeBaron, Blake, 2001. "Evolution And Time Horizons In An Agent-Based Stock Market," Macroeconomic Dynamics, Cambridge University Press, vol. 5(02), pages 225-254, April.
    32. Carl Chiarella & Tony He & Cars H. Hommes, 2005. "A Dynamic Analysis of Moving Average Rules," Tinbergen Institute Discussion Papers 05-057/1, Tinbergen Institute.
    33. Brock, W.A., 1995. "A Rational Route to Randomness," Working papers 9530, Wisconsin Madison - Social Systems.
    34. Sethi, Rajiv, 1996. "Endogenous regime switching in speculative markets," Structural Change and Economic Dynamics, Elsevier, vol. 7(1), pages 99-118, March.
    35. Mikhail Anufriev & Giulio Bottazzi, 2006. "Behavioral Consistent Market Equilibria under Procedural Rationality," Computing in Economics and Finance 2006 225, Society for Computational Economics.
    36. Carl Chiarella & Roberto Dieci & Laura Gardini, 2001. "Speculative Behaviour and Complex Asset Price Dynamics," Research Paper Series 49, Quantitative Finance Research Centre, University of Technology, Sydney.
    37. Westerhoff Frank H., 2008. "The Use of Agent-Based Financial Market Models to Test the Effectiveness of Regulatory Policies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 195-227, April.
    38. Min Zheng & Duo Wang & Xue-Zhong He, 2009. "Asymmetry of technical analysis and market price volatility," Published Paper Series 2009-6, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    39. Anufriev, M. & Bao, T. & Tuinstra, J., 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," CeNDEF Working Papers 15-09, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    40. Carl Chiarella, 1992. "Developments in Nonlinear Economic Dynamics: Past, Present and Future," Working Paper Series 14, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    41. Peter Flaschel & Matthieu Charpe & Giorgos Galanis & Christian R. Proaño & Roberto Veneziani, 2017. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," IMK Working Paper 186-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    42. Xing Gao & Daniel Ladley, 2022. "Noise trading and market stability," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1283-1301, October.
    43. Anufriev, M. & Bottazzi, G., 2009. "Market Equilibria under Procedural Rationality," CeNDEF Working Papers 09-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    44. Sansone, Alessandro & Garofalo, Giuseppe, 2007. "Asset price dynamics in a financial market with heterogeneous trading strategies and time delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 247-257.
    45. Hiroshi Takahashi & Takao Terano, 2003. "Agent-Based Approach to Investors? Behavior and Asset Price Fluctuation in Financial Markets," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(3), pages 1-3.
    46. Gao, Xing & Ladley, Daniel, 2022. "Statistical arbitrage and risk contagion," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    47. Paolo Pelizzari & Frank Westerhoff, 2007. "Some Effects of Transaction Taxes Under Different Microstructures," Research Paper Series 212, Quantitative Finance Research Centre, University of Technology, Sydney.
    48. Frank H. Westerhoff, 2009. "Exchange Rate Dynamics: A Nonlinear Survey," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 11, Edward Elgar Publishing.
    49. David G. McMillan, 2010. "Present Value Model, Bubbles and Returns Predictability: Sector‐Level Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5‐6), pages 668-686, June.
    50. Dieci, Roberto & Westerhoff, Frank, 2011. "On the inherent instability of international financial markets: Natural nonlinear interactions between stock and foreign exchange markets," BERG Working Paper Series 79, Bamberg University, Bamberg Economic Research Group.
    51. Foroni, Ilaria & Gardini, Laura & Rosser, J.Barkley, 2003. "Adaptive and statistical expectations in a renewable resource market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(6), pages 541-567.
    52. Thilo A. Schmitt & Rudi Schafer & Michael C. Munnix & Thomas Guhr, 2012. "Microscopic understanding of heavy-tailed return distributions in an agent-based model," Papers 1207.2946, arXiv.org.
    53. He, Xue-Zhong & Li, Kai & Li, Youwei, 2018. "Asset allocation with time series momentum and reversal," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 441-457.
    54. Carl Chiarella & Xue-Zhong He & Duo Wang, 2004. "A Behavioural Asset Pricing Model with a Time-Varying Second Moment," Research Paper Series 141, Quantitative Finance Research Centre, University of Technology, Sydney.
    55. Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Hedging against Risk in a Heterogeneous Leveraged Market," Economic Research Papers 270010, University of Warwick - Department of Economics.
    56. Pan, Huiran & Wang, Chun, 2013. "House prices, bank instability, and economic growth: Evidence from the threshold model," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1720-1732.
    57. Dindo, Pietro & Staccioli, Jacopo, 2018. "Asset prices and wealth dynamics in a financial market with random demand shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 187-210.
    58. Stefanescu, Razvan & Dumitriu, Ramona, 2016. "Particularitǎţi ale evoluţiei variabilelor financiare [Some particularities of the financial variables evolution]," MPRA Paper 73481, University Library of Munich, Germany, revised 02 Sep 2016.
    59. Xue-Zhong He, 2003. "Asset Pricing, Volatility and Market Behaviour: A Market Fraction Approach," Research Paper Series 95, Quantitative Finance Research Centre, University of Technology, Sydney.
    60. Sushko, Iryna & Tramontana, Fabio & Westerhoff, Frank & Avrutin, Viktor, 2015. "Symmetry breaking in a bull and bear financial market model," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 57-72.
    61. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
    62. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    63. Roberto Dieci & Frank Westerhoff, 2012. "A simple model of a speculative housing market," Journal of Evolutionary Economics, Springer, vol. 22(2), pages 303-329, April.
    64. Musciotto, Federico & Marotta, Luca & Miccichè, Salvatore & Piilo, Jyrki & Mantegna, Rosario N., 2016. "Patterns of trading profiles at the Nordic Stock Exchange. A correlation-based approach," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 267-278.
    65. J. Doyne Farmer & Shareen Joshi, 2000. "The price dynamics of common trading strategies," Papers cond-mat/0012419, arXiv.org.
    66. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-Varying Economic Dominance Through Bistable Dynamics," Research Paper Series 390, Quantitative Finance Research Centre, University of Technology, Sydney.
    67. He, Xue-Zhong & Li, Youwei & Zheng, Min, 2019. "Heterogeneous agent models in financial markets: A nonlinear dynamics approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 135-149.
    68. Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Heterogeneity and Clustering of Defaults," The Warwick Economics Research Paper Series (TWERPS) 1083, University of Warwick, Department of Economics.
    69. Carl Chiarella & Roberto Dieci & Laura Gardini, 2005. "The Dynamic Interaction of Speculation and Diversification," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(1), pages 17-52.
    70. Alessio Emanuele Biondo, 2018. "Order book microstructure and policies for financial stability," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 35(1), pages 196-218, March.
    71. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    72. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2021. "(Ir)rational explorers in the financial jungle," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1157-1188, September.
    73. J. Doyne Farmer & John Geanakoplos, 2008. "The Virtues and Vices of Equilibrium and the Future of Financial Economics," Cowles Foundation Discussion Papers 1647, Cowles Foundation for Research in Economics, Yale University.
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    211. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
    212. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
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    216. Taisei Kaizoji, 2003. "Intermittent chaos in a model of financial markets with heterogeneous agents," Papers nlin/0312065, arXiv.org.
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    218. Kang Gao & Perukrishnen Vytelingum & Stephen Weston & Wayne Luk & Ce Guo, 2022. "Understanding intra-day price formation process by agent-based financial market simulation: calibrating the extended chiarella model," Papers 2208.14207, arXiv.org.
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    221. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    222. Carl Chiarella & Xue-Zhong He & Remco C.J. Zwinkels, 2014. "Heterogeneous Expectations in Asset Pricing: Empirical Evidence from the S&P500," Research Paper Series 344, Quantitative Finance Research Centre, University of Technology, Sydney.
    223. Karsten Kohler & Robert Calvert Jump, 2022. "Estimating Nonlinear Business Cycle Mechanisms with Linear Vector Autoregressions: A Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1077-1100, October.
    224. Sandrine Jacob Leal, 2015. "Fundamentalists, Chartists and Asset pricing anomalies," Post-Print hal-01508002, HAL.
    225. Andrea Gaunersdorfer & Cars Hommes & Florian O.O. Wagener, 2001. "Bifurcation Routes to Volatility Clustering," Tinbergen Institute Discussion Papers 01-015/1, Tinbergen Institute.
    226. A. E. Biondo & A. Pluchino & A. Rapisarda, 2015. "Modelling Financial Markets by Self-Organized Criticality," Papers 1507.04298, arXiv.org, revised Oct 2015.
    227. Noemi Schmitt & Frank Westerhoff, 2022. "Speculative housing markets and rent control: insights from nonlinear economic dynamics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 141-163, January.
    228. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    229. Zhang, Hao & Huang, Yuyuan & Yao, Haixiang, 2016. "Heterogeneous expectation, beliefs evolution and house price volatility," Economic Modelling, Elsevier, vol. 53(C), pages 409-418.
    230. Vinod Cheriyan & Anton J. Kleywegt, 2016. "A dynamical systems model of price bubbles and cycles," Quantitative Finance, Taylor & Francis Journals, vol. 16(2), pages 309-336, February.
    231. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.
    232. Westerhoff, Frank, 2009. "A simple agent-based financial market model: Direct interactions and comparisons of trading profits," BERG Working Paper Series 61, Bamberg University, Bamberg Economic Research Group.
    233. Hoffmann, Arvid O.I. & Jager, Wander, 2004. "The effect of different needs, decisionmaking processes and networkstructures on investor behavior and stock market dynamics : a simulation approach," Research Report 04B25, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    234. Demary, Markus, 2009. "Transaction taxes and traders with heterogeneous investment horizons in an agent-based financial market model," Economics Discussion Papers 2009-47, Kiel Institute for the World Economy (IfW Kiel).
    235. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2020. "(Ir)rational explorers in the financial jungle: modelling Minsky with heterogeneous agents," Department of Economics University of Siena 819, Department of Economics, University of Siena.
    236. Chiarella, Carl & ter Ellen, Saskia & He, Xue-Zhong & Wu, Eliza, 2015. "Fear or fundamentals? Heterogeneous beliefs in the European sovereign CDS market," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 19-34.
    237. A. E. Biondo & A. Pluchino & A. Rapisarda & D. Helbing, 2013. "Are random trading strategies more successful than technical ones?," Papers 1303.4351, arXiv.org, revised Jul 2013.
    238. Annalisa Fabretti, 2022. "A Dynamical Model for Financial Market: Among Common Market Strategies Who and How Moves the Price to Fluctuate, Inflate, and Burst?," Mathematics, MDPI, vol. 10(5), pages 1-17, February.
    239. Rhys ap Gwilym, 2013. "The Monetary Policy Implications of Behavioral Asset Bubbles," Southern Economic Journal, John Wiley & Sons, vol. 80(1), pages 252-270, July.
    240. Cerruti, Gianluca & Lombardini, Simone, 2022. "Financial bubbles as a recursive process lead by short-term strategies," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 555-568.
    241. Dieci, Roberto & Westerhoff, Frank, 2010. "Heterogeneous speculators, endogenous fluctuations and interacting markets: A model of stock prices and exchange rates," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 743-764, April.
    242. Gallegati, Mauro & Palestrini, Antonio & Rosser, J. Barkley, 2011. "The Period Of Financial Distress In Speculative Markets: Interacting Heterogeneous Agents And Financial Constraints," Macroeconomic Dynamics, Cambridge University Press, vol. 15(1), pages 60-79, February.
    243. Gilbert Peffer & Barbara Llacay, 2007. "Higher-Order Simulations: Strategic Investment Under Model-Induced Price Patterns," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-6.
    244. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
    245. Charpe, Matthieu & Kühn, Stefan, 2015. "Demand and supply effects of bargaining power shocks," Economic Modelling, Elsevier, vol. 51(C), pages 21-32.
    246. Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2016, January-A.
    247. Soon Ryoo, 2013. "Minsky cycles in Keynesian models of growth and distribution," Review of Keynesian Economics, Edward Elgar Publishing, vol. 1(1), pages 37-60, January.
    248. Carl Chiarella & Xue-Zhong He & Min Zheng, 2007. "The Stochastic Dynamics of Speculative Prices," Research Paper Series 208, Quantitative Finance Research Centre, University of Technology, Sydney.
    249. Mikhail Anufriev & Davide Radi & Fabio Tramontana, 2018. "Some reflections on past and future of nonlinear dynamics in economics and finance," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 91-118, November.
    250. Christian Lax & Torsten Trimborn, 2019. "From Disequilibrium Markets to Equilibrium," Papers 1912.09679, arXiv.org.
    251. En-Guo Gu, 2020. "On the Price Dynamics of a Two-Dimensional Financial Market Model with Entry Levels," Complexity, Hindawi, vol. 2020, pages 1-23, August.
    252. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.
    253. Ahmad Naimzada & Marina Pireddu, 2014. "Real and financial interacting oscillators: a behavioral macro-model with animal spirits," Working Papers 268, University of Milano-Bicocca, Department of Economics, revised Feb 2014.
    254. Youwei Li & Xue-Zhong (Tony) He, 2005. "Heterogeneity, Profitability and Autocorrelations," Computing in Economics and Finance 2005 244, Society for Computational Economics.
    255. Hommes, C.H. & Huang, H. & Wang, D., 2002. "A Robust Rational Route to in a Simple Asset Pricing Model," CeNDEF Working Papers 02-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    256. Michele Tumminello & Fabrizio Lillo & Jyrki Piilo & Rosario N. Mantegna, 2011. "Identification of clusters of investors from their real trading activity in a financial market," Papers 1107.3942, arXiv.org.
    257. Jia-Ping Huang & Yang Zhang & Juanxi Wang, 2023. "Dynamic effects of social influence on asset prices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 671-699, July.
    258. Chiarella, Carl & He, Xue-Zhong & Hommes, Cars, 2006. "Moving average rules as a source of market instability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 12-17.

  135. Carl Chiarella & Toan Pham & Ah Boon Sim & Madeleine Tan, 1991. "Determinants of Corporate Capital Structure: Australian Evidence," Working Paper Series 3, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Nur Ainna Ramli & Hengky Latan & Gilbert V. Nartea, 2018. "Why Should PLS-SEM Be Used Rather Than Regression? Evidence from the Capital Structure Perspective," International Series in Operations Research & Management Science, in: Necmi K. Avkiran & Christian M. Ringle (ed.), Partial Least Squares Structural Equation Modeling, chapter 0, pages 171-209, Springer.
    2. Suchard, Jo-Ann & Singh, Manohar, 2006. "The determinants of the hybrid security issuance decision for Australian firms," Pacific-Basin Finance Journal, Elsevier, vol. 14(3), pages 269-290, June.
    3. Koh, SzeKee & Durand, Robert B. & Watson, Iain, 2011. "Seize the moment: Opportunism in Australian capital markets," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 374-389, September.
    4. Jonathan Batten & Warren Hogan & Francis In, 2002. "Valuing Credit Spreads on Quality Australian Dollar Eurobonds in a Multivariate EGARCH Framework," Australian Economic Papers, Wiley Blackwell, vol. 41(1), pages 115-128, March.
    5. Philip Brown & Andrew Ferguson & Kate Stone, 2008. "Share Purchase Plans in Australia: Issuer Characteristics and Valuation Implications," Australian Journal of Management, Australian School of Business, vol. 33(2), pages 307-332, December.
    6. Sanjiva Prasad & Christopher J. Green & Victor Murinde, 2001. "Company Financing, Captial Structure, and Ownership: A Survey, and Implications for Developing Economies," SUERF Studies, SUERF - The European Money and Finance Forum, number 12 edited by Morten Balling, May.
    7. Hoa Nguyen & Robert Faff, 2010. "Are firms hedging or speculating? The relationship between financial derivatives and firm risk," Applied Financial Economics, Taylor & Francis Journals, vol. 20(10), pages 827-843.
    8. Shahab U Din & Attiya Javid & Muhammad Imran, 2013. "External and Internal Ownership Concentration and Debt Decisions in an Emerging Market: Evidence from Pakistan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(12), pages 1583-1597.
    9. Paulo Mourao, 2020. "Exploring the Likelihood of a Country Being a Tax Haven Using MIMIC Models," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 5(1), pages 17-32, June.
    10. Islam, Silvia Z. & Khandaker, Sarod, 2015. "Firm leverage decisions: Does industry matter?," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 94-107.
    11. Shumi Akhtar, 2005. "The Determinants of Capital Structure for Australian Multinational and Domestic Corporations," Australian Journal of Management, Australian School of Business, vol. 30(2), pages 321-341, December.
    12. Selim Aren & Lutfihak Alpkan & Bulent Sezen & Ziya Alper Guncu, 2011. "Drivers of firms’ debt ratios: evidence from Taiwanese and Turkish firms," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 13(1), pages 53-70, May.
    13. Sebastian Ofumbia Uremadu & Rapuluchukwu Uchenna Efobi, 2012. "The Impact of Capital Structure and Liquidity on Corporate Returns in Nigeria: Evidence from Manufacturing Firms," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 2(3), pages 1-16, July.
    14. Sanjiva Prasad & Christopher J. Green & Victor Murinde, 2005. "Company Financial Structure: A Survey and Implications for Developing Economies," Chapters, in: Christopher J. Green & Colin Kirkpatrick & Victor Murinde (ed.), Finance and Development, chapter 12, Edward Elgar Publishing.
    15. Alves, Paulo F. Pereira & Ferreira, Miguel A., 2011. "Capital structure and law around the world," Journal of Multinational Financial Management, Elsevier, vol. 21(3), pages 119-150, July.
    16. Timothy J. Brailsford & Barry R. Oliver & Sandra L. H. Pua, 2002. "On the relation between ownership structure and capital structure," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 42(1), pages 1-26, March.
    17. Yue Cheng & Christopher J. Green, 2008. "Taxes And Capital Structure: A Study Of European Companies," Manchester School, University of Manchester, vol. 76(s1), pages 85-115, September.
    18. Paul Gatward & Ian G. Sharpe, 1996. "Capital Structure Dynamics with Interrelated Adjustment: Australian Evidence," Australian Journal of Management, Australian School of Business, vol. 21(2), pages 89-112, December.
    19. Ang, James S. & Fatemi, Ali & Tourani-Rad, Alireza, 1997. "Capital structure and dividend policies of Indonesian firms," Pacific-Basin Finance Journal, Elsevier, vol. 5(1), pages 87-103, February.
    20. Vlora Prenaj & Iliriana Miftari & Besnik Krasniqi, 2023. "Determinants of the Capital Structure of Non-Listed Companies in Kosovo," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 36-50.

  136. Carl Chiarella, 1991. "Monetary and Fiscal Policy Under Nonlinear Exchange Rate Dynamics," Working Paper Series 6, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Toichiro Asada & Carl Chiarella & Peter Flaschel & Reiner Franke, 2003. "Interacting Two-Country Business Fluctuations," Working Paper Series 128, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Flaschel, Peter & Sethi, Rajiv, 1999. "Stability in models of money and perfect foresight: implications of non-linearity," Economic Modelling, Elsevier, vol. 16(2), pages 221-233, April.
    3. Carl Chiarella & Alexander Khomin, 2000. "Learning in a Generalized Dornbusch Model of Exchange Rate Dynamics," Working Paper Series 102, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  137. Carl Chiarella, 1991. "The Birth of Limit Cycles in Cournot Oligopoly Models with Time Delays," Working Paper Series 11, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Bondarev, Anton & Greiner, Alfred, 2017. "Catching-up and falling behind: Effects of learning in an R&D differential game with spillovers," Working papers 2017/02, Faculty of Business and Economics - University of Basel.
    2. Bischi, Gian Italo & Merlone, Ugo & Pruscini, Eros, 2018. "Evolutionary dynamics in club goods binary games," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 104-119.

  138. Carl Chiarella & Toan Pham & Ah Boon Sim & Madeleine Tan, 1991. "The Interaction of the Financing and Investment Decisions: Preliminary Results in the Australian Context," Working Paper Series 4, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Quoc Trung Nguyen Kim, 2023. "Does COVID-19 affect small and medium enterprises’ capital structure in vietnam?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(1), pages 2190268-219, December.
    2. P. S. Sanju & P. S. Nirmala & M. Ramachandran, 2011. "Are dividend and investment decisions separable?," Applied Financial Economics, Taylor & Francis Journals, vol. 21(20), pages 1515-1524.

  139. Carl Chiarella & Alexander Khomin, "undated". "Adaptive Rational Expectations in Models of Monetary Dynamics," Computing in Economics and Finance 1997 97, Society for Computational Economics.

    Cited by:

    1. David Goldbaum & Bruce Mizrach, 2004. "Estimating the Intensity of Choice in a Dynamic Mutual Fund Allocation Decision," Departmental Working Papers 200414, Rutgers University, Department of Economics.
    2. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  140. Carl Chiarella, Nadima El-Hassan, & Adam Kucera, "undated". "Option Pricing in a Path Integral Framework Using Fourier-Hermite Series Expansions," Computing in Economics and Finance 1997 132, Society for Computational Economics.

    Cited by:

    1. Adam W. Kolkiewicz & Fangyuan Sally Lin, 2017. "Pricing Surrender Risk in Ratchet Equity-Index Annuities under Regime-Switching Lévy Processes," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(3), pages 433-457, July.
    2. Andrew Matacz, 2000. "Path dependent option pricing: the path integral partial averaging method," Science & Finance (CFM) working paper archive 500034, Science & Finance, Capital Fund Management.
    3. Jun Cheng & Jin Zhang, 2012. "Analytical pricing of American options," Review of Derivatives Research, Springer, vol. 15(2), pages 157-192, July.
    4. Alfredo Ibáñez, 2003. "Robust Pricing of the American Put Option: A Note on Richardson Extrapolation and the Early Exercise Premium," Management Science, INFORMS, vol. 49(9), pages 1210-1228, September.
    5. Nessim Souissi, 2017. "The Implied Risk Neutral Density Dynamics: Evidence from the S&P TSX 60 Index," Journal of Applied Mathematics, Hindawi, vol. 2017, pages 1-10, June.
    6. Antonio Cosma & Stefano Galluccio & Paola Pederzoli & Olivier Scaillet, 2015. "Valuing American options using fast recursive projections," DEM Discussion Paper Series 15-20, Department of Economics at the University of Luxembourg.
    7. Andrew Matacz, 2000. "Path Dependent Option Pricing: the path integral partial averaging method," Papers cond-mat/0005319, arXiv.org.
    8. Tebaldi, Claudio, 2005. "Hedging using simulation: a least squares approach," Journal of Economic Dynamics and Control, Elsevier, vol. 29(8), pages 1287-1312, August.
    9. Arturo Leccadito & Pietro Toscano & Radu S. Tunaru, 2012. "Hermite Binomial Trees: A Novel Technique For Derivatives Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(08), pages 1-36.
    10. Decamps, Marc & De Schepper, Ann & Goovaerts, Marc, 2004. "Applications of δ-function perturbation to the pricing of derivative securities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 342(3), pages 677-692.
    11. Nikola Gradojevic & Dragan Kukolj & Ramazan Gencay, 2011. "Clustering and Classification in Option Pricing," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 3(2), pages 109-128, October.
    12. Carl Chiarella & Adam Kucera & Andrew Ziogas, 2004. "A Survey of the Integral Representation of American Option Prices," Research Paper Series 118, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. DECAMPS, Marc & DE SCHEPPER, Ann & GOOVAERTS, Marc, "undated". "Path integrals as a tool for pricing interest rate contingent claims: The case of reflecting and absorbing boundaries," Working Papers 2003027, University of Antwerp, Faculty of Business and Economics.

  141. Toichiro Asada & Carl Chiarella & Peter Flaschel & Reiner Franke, "undated". "Interacting Two-Country Business Fluctuations," Modeling, Computing, and Mastering Complexity 2003 02, Society for Computational Economics.

    Cited by:

    1. Ioannis Gasteratos & Michael Karamalis & Andreas Koutoupis, 2016. "Shadow Economy Worsens Income distribution," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 80-92.
    2. Karsten Kohler & Engelbert Stockhammer, 2022. "Flexible exchange rates in emerging markets: shock absorbers or drivers of endogenous cycles?," Working Papers PKWP2205, Post Keynesian Economics Society (PKES).
    3. Jean-Baptiste Gossé, 2009. "The Real and Financial Implications of the Global Saving Glut: A Three-Country Model," CEPN Working Papers hal-00380417, HAL.

Articles

  1. Carl Chiarella & Xue-Zhong He & Lei Shi & Lijian Wei, 2017. "A behavioural model of investor sentiment in limit order markets," Quantitative Finance, Taylor & Francis Journals, vol. 17(1), pages 71-86, January.
    See citations under working paper version above.
  2. Chiarella, C. & Di Guilmi, C., 2017. "Monetary Policy And Debt Deflation: Some Computational Experiments," Macroeconomic Dynamics, Cambridge University Press, vol. 21(1), pages 214-242, January.
    See citations under working paper version above.
  3. Chiarella, Carl & Hsiao, Chih-Ying & Tô, Thuy-Duong, 2016. "Stochastic correlation and risk premia in term structure models," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 59-78.
    See citations under working paper version above.
  4. Carl Chiarella & Boda Kang & Christina Sklibosios Nikitopoulos & Thuy‐Duong Tô, 2016. "The Return–Volatility Relation in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(2), pages 127-152, February.
    See citations under working paper version above.
  5. Carl Chiarella & Les Clewlow & Boda Kang, 2016. "The Evaluation Of Multiple Year Gas Sales Agreement With Regime Switching," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-25, February.
    See citations under working paper version above.
  6. Chiarella, Carl & Ladley, Daniel, 2016. "Chasing trends at the micro-level: The effect of technical trading on order book dynamics," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 119-131.

    Cited by:

    1. Ladley, Daniel, 2020. "The high frequency trade off between speed and sophistication," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    2. Schmitt, Noemi & Westerhoff, Frank H., 2019. "Trend followers, contrarians and fundamentalists: Explaining the dynamics of financial markets," BERG Working Paper Series 151, Bamberg University, Bamberg Economic Research Group.
    3. Mazza, Paolo & Petitjean, Mikael, 2019. "Testing the effect of technical analysis on market quality and order book dynamics," LIDAM Reprints LFIN 2019006, Université catholique de Louvain, Louvain Finance (LFIN).
    4. Jackson, Antony & Ladley, Daniel, 2016. "Market ecologies: The effect of information on the interaction and profitability of technical trading strategies," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 270-280.
    5. Bernales, Alejandro & Ladley, Daniel & Litos, Evangelos & Valenzuela, Marcela, 2021. "Dark trading and alternative execution priority rules," LSE Research Online Documents on Economics 118866, London School of Economics and Political Science, LSE Library.
    6. Daniel Ladley, 2019. "The Design and Regulation of High Frequency Traders," Discussion Papers in Economics 19/02, Division of Economics, School of Business, University of Leicester.
    7. Kun Xing & Honggang Li, 2024. "Market Ecology: Trading Strategies and Market Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 64(6), pages 3333-3351, December.

  7. Chiarella, Carl & ter Ellen, Saskia & He, Xue-Zhong & Wu, Eliza, 2015. "Fear or fundamentals? Heterogeneous beliefs in the European sovereign CDS market," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 19-34.

    Cited by:

    1. Wang, Xinjie & Xiao, Yaqing & Yan, Hongjun & Zhang, Jinfan, 2021. "Under-reaction in the sovereign CDS market," Journal of Banking & Finance, Elsevier, vol. 130(C).
    2. Frijns, Bart & Zwinkels, Remco C.J., 2020. "Absence of speculation in the European sovereign debt markets," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 245-265.
    3. Zhong-Qiang Zhou & Jie Li & Wei Zhang & Xiong Xiong, 2022. "Government intervention model based on behavioral heterogeneity for China’s stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
    4. Giuseppe Ambrosini & Francesco Menoncin, 2018. "Optimal Portfolios with Credit Default Swaps," Journal of Financial Services Research, Springer;Western Finance Association, vol. 54(1), pages 81-109, August.
    5. Wang, Jun & Sun, Xiaolei & Li, Jianping, 2020. "How do sovereign credit default swap spreads behave under extreme oil price movements? Evidence from G7 and BRICS countries," Finance Research Letters, Elsevier, vol. 34(C).
    6. Carol Alexander & Xi Chen & Charles Ward, 2021. "Risk-Adjusted Valuation for Real Option Decisions," Papers 2109.04793, arXiv.org.
    7. Dimitris A. Georgoutsos & Petros M. Migiakis, 2018. "Risk perceptions and fundamental effects on sovereign spreads," Working Papers 250, Bank of Greece.
    8. Saskia ter Ellen & Cars H. Hommes & Remco C.J. Zwinkels, 2017. "Comparing behavioural heterogeneity across asset classes," Working Paper 2017/12, Norges Bank.
    9. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Syed Jawad Hussain Shahzad & Elie Bouri & Jose Arreola-Hernandez & David Roubaud & Stelios Bekiros, 2019. "Spillover across Eurozone credit market sectors and determinants," Applied Economics, Taylor & Francis Journals, vol. 51(59), pages 6333-6349, December.
    11. Malliaropulos, Dimitris & Migiakis, Petros, 2018. "The re-pricing of sovereign risks following the Global Financial Crisis," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 39-56.
    12. Chen, Zhenxi & Reitz, Stefan, 2016. "Dynamics of the European sovereign bonds and the identification of crisis periods," FinMaP-Working Papers 57, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    13. Hommes, Cars & in ’t Veld, Daan, 2017. "Booms, busts and behavioural heterogeneity in stock prices," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 101-124.
    14. Wu, Eliza & Erdem, Magdalena & Kalotychou, Elena & Remolona, Eli, 2016. "The anatomy of sovereign risk contagion," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 264-286.
    15. Zheng, Min & Liu, Ruipeng & Li, Youwei, 2018. "Long memory in financial markets: A heterogeneous agent model perspective," MPRA Paper 84886, University Library of Munich, Germany.
    16. Ya-Chi Huang & Chueh-Yung Tsao, 2018. "Discovering Traders’ Heterogeneous Behavior in High-Frequency Financial Data," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 821-846, April.
    17. Fong, Tom Pak Wing & Li, Ka-Fai & Fu, John, 2018. "Accounting for sovereign tail risk in emerging economies: The role of global and domestic risk factors," Emerging Markets Review, Elsevier, vol. 34(C), pages 98-110.
    18. António Afonso & João Tovar Jalles, 2020. "Economic volatility and sovereign yields’ determinants: a time-varying approach," Empirical Economics, Springer, vol. 58(2), pages 427-451, February.
    19. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    20. Kukacka, Jiri & Barunik, Jozef, 2017. "Estimation of financial agent-based models with simulated maximum likelihood," Journal of Economic Dynamics and Control, Elsevier, vol. 85(C), pages 21-45.
    21. Kim, Suk-Joong & Salem, Leith & Wu, Eliza, 2015. "The role of macroeconomic news in sovereign CDS markets: Domestic and spillover news effects from the U.S., the Eurozone and China," Journal of Financial Stability, Elsevier, vol. 18(C), pages 208-224.
    22. Saskia ter Ellen & Willem F. C. Verschoor, 2018. "Heterogeneous Beliefs and Asset Price Dynamics: A Survey of Recent Evidence," Dynamic Modeling and Econometrics in Economics and Finance, in: Fredj Jawadi (ed.), Uncertainty, Expectations and Asset Price Dynamics, pages 53-79, Springer.
    23. Cayon, Edgardo & Thorp, Susan & Wu, Eliza, 2018. "Immunity and infection: Emerging and developed market sovereign spreads over the Global Financial Crisis," Emerging Markets Review, Elsevier, vol. 34(C), pages 162-174.
    24. Huthaifa Sameeh Alqaralleh, 2024. "From volatility to stability: understanding the role of macroeconomic factors in sovereign CDS spreads," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 665-707, September.
    25. Houssam Bouzgarrou & Tarek Chebbi, 2016. "The reaction of sovereign CDS spread volatilities to news announcements," Journal of Asset Management, Palgrave Macmillan, vol. 17(5), pages 347-360, September.
    26. Tai, Chung-Ching & Chen, Shu-Heng & Yang, Lee-Xieng, 2018. "Cognitive ability and earnings performance: Evidence from double auction market experiments," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 409-440.

  8. Karl Friedrich Mina & Gerald H. L. Cheang & Carl Chiarella, 2015. "Approximate Hedging Of Options Under Jump-Diffusion Processes," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-26.
    See citations under working paper version above.
  9. Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.

    Cited by:

    1. Ladley, Daniel, 2020. "The high frequency trade off between speed and sophistication," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    2. Xing Gao & Daniel Ladley, 2022. "Noise trading and market stability," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1283-1301, October.
    3. Mazza, Paolo & Petitjean, Mikael, 2019. "Testing the effect of technical analysis on market quality and order book dynamics," LIDAM Reprints LFIN 2019006, Université catholique de Louvain, Louvain Finance (LFIN).
    4. Qing-Qing Yang & Wai-Ki Ching & Jiawen Gu & Tak-Kuen Siu, 2020. "Trading strategy with stochastic volatility in a limit order book market," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 277-301, June.
    5. Gong, Xu & Lin, Boqiang, 2019. "Modeling stock market volatility using new HAR-type models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 194-211.
    6. He, Xue-Zhong & Lin, Shen, 2022. "Reinforcement Learning Equilibrium in Limit Order Markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    7. Ymir Makinen & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2018. "Forecasting of Jump Arrivals in Stock Prices: New Attention-based Network Architecture using Limit Order Book Data," Papers 1810.10845, arXiv.org.
    8. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Yamamoto, Ryuichi, 2019. "Dynamic Predictor Selection And Order Splitting In A Limit Order Market," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1757-1792, July.
    10. Siu, Chi Chung & Guo, Ivan & Zhu, Song-Ping & Elliott, Robert J., 2019. "Optimal execution with regime-switching market resilience," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 17-40.
    11. Breckenfelder, Johannes, 2024. "Competition among high-frequency traders and market quality," Journal of Economic Dynamics and Control, Elsevier, vol. 166(C).
    12. Yang, Qing-Qing & Ching, Wai-Ki & Gu, Jia-Wen & Siu, Tak-Kuen, 2018. "Market-making strategy with asymmetric information and regime-switching," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 408-433.
    13. Thorsten Hens & Terje Lensberg & Klaus Reiner Schenk‐Hoppé, 2018. "Front‐Running and Market Quality: An Evolutionary Perspective on High Frequency Trading," International Review of Finance, International Review of Finance Ltd., vol. 18(4), pages 727-741, December.
    14. Arifovic, Jasmina & He, Xue-zhong & Wei, Lijian, 2022. "Machine learning and speed in high-frequency trading," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    15. Lijian Wei & Xiong Xiong & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2017. "The effect of genetic algorithm learning with a classifier system in limit order markets," Published Paper Series 2017-3, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    16. Ymir Mäkinen & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2019. "Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data," Quantitative Finance, Taylor & Francis Journals, vol. 19(12), pages 2033-2050, December.

  10. Chiarella Carl & Di Guilmi Corrado, 2015. "The limit distribution of evolving strategies in financial markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(2), pages 137-159, April.
    See citations under working paper version above.
  11. Ruggero Caldana & Gerald H. L. Cheang & Carl Chiarella & Gianluca Fusai, 2015. "Correction: Exchange Option under Jump-diffusion Dynamics," Applied Mathematical Finance, Taylor & Francis Journals, vol. 22(1), pages 99-103, March.

    Cited by:

    1. Wang, Guanying & Wang, Xingchun & Shao, Xinjian, 2022. "Exchange options for catastrophe risk management," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    2. Villamor, Enrique & Olivares, Pablo, 2024. "Pricing exchange options under stochastic correlation," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    3. Enrique Villamor & Pablo Olivares, 2020. "Pricing Exchange Options under Stochastic Correlation," Papers 2001.03967, arXiv.org.
    4. Olivares Pablo & Villamor Enrique, 2017. "Valuing Exchange Options Under an Ornstein-Uhlenbeck Covariance Model," Papers 1711.10013, arXiv.org.
    5. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2021. "A numerical approach to pricing exchange options under stochastic volatility and jump-diffusion dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2025-2054, December.
    6. Li, Zelei & Wang, Xingchun, 2020. "Valuing spread options with counterparty risk and jump risk," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

  12. Carl Chiarella & Jonathan Ziveyi, 2014. "Pricing American options written on two underlying assets," Quantitative Finance, Taylor & Francis Journals, vol. 14(3), pages 409-426, March.

    Cited by:

    1. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2020. "A Put-Call Transformation of the Exchange Option Problem under Stochastic Volatility and Jump Diffusion Dynamics," Papers 2002.10194, arXiv.org.
    2. Shen, Yang & Sherris, Michael & Ziveyi, Jonathan, 2016. "Valuation of guaranteed minimum maturity benefits in variable annuities with surrender options," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 127-137.
    3. Jérôme Detemple, 2014. "Optimal Exercise for Derivative Securities," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 459-487, December.
    4. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2021. "A Numerical Approach to Pricing Exchange Options under Stochastic Volatility and Jump-Diffusion Dynamics," Papers 2106.07362, arXiv.org.
    5. Sha Lin & Song‐Ping Zhu, 2022. "Pricing callable–puttable convertible bonds with an integral equation approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1856-1911, October.

  13. Lian, Guanghua & Chiarella, Carl & Kalev, Petko S., 2014. "Volatility swaps and volatility options on discretely sampled realized variance," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 239-262.

    Cited by:

    1. Dupret, Jean-Loup & Hainaut, Donatien, 2023. "A fractional Hawkes process for illiquidity modeling," LIDAM Discussion Papers ISBA 2023001, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Li, Shaoyu & Huang, Henry H. & Zhang, Teng, 2020. "Generalized affine transform on pricing quanto range accrual note," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    3. Rujivan, Sanae, 2025. "Analytically pricing volatility options and capped/floored volatility swaps with nonlinear payoffs in discrete observation case under the Merton jump-diffusion model driven by a nonhomogeneous Poisson," Applied Mathematics and Computation, Elsevier, vol. 486(C).
    4. Li, Shaoyu & Zhang, Yuanyuan & Zhu, Chunhui, 2021. "A closed-form exact solution for pricing fixed-income variance swaps with affine-jump model," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    5. Napat Rujeerapaiboon & Sanae Rujivan & Hongdan Chen, 2025. "Discounted-likelihood valuation of variance and volatility swaps," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-34, December.
    6. Wendong Zheng & Chi Hung Yuen & Yue Kuen Kwok, 2016. "Recursive Algorithms For Pricing Discrete Variance Options And Volatility Swaps Under Time-Changed Lévy Processes," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 1-29, March.
    7. Anqi Zou & Jiajie Wang & Chiye Wu, 2023. "Pricing Variance Swaps under MRG Model with Regime-Switching: Discrete Observations Case," Mathematics, MDPI, vol. 11(12), pages 1-30, June.
    8. Alexandru Badescu & Zhenyu Cui & Juan-Pablo Ortega, 2019. "Closed-form variance swap prices under general affine GARCH models and their continuous-time limits," Annals of Operations Research, Springer, vol. 282(1), pages 27-57, November.
    9. Wang, Xingchun & Fu, Jianping & Wang, Guanying & Wang, Yongjin, 2015. "Quadratic hedging strategies for volatility swaps," Finance Research Letters, Elsevier, vol. 15(C), pages 125-132.
    10. Cui, Zhenyu & Lars Kirkby, J. & Nguyen, Duy, 2017. "A general framework for discretely sampled realized variance derivatives in stochastic volatility models with jumps," European Journal of Operational Research, Elsevier, vol. 262(1), pages 381-400.

  14. Chiarella, Carl & Da Fonseca, José & Grasselli, Martino, 2014. "Pricing range notes within Wishart affine models," Insurance: Mathematics and Economics, Elsevier, vol. 58(C), pages 193-203.

    Cited by:

    1. Deelstra, Griselda & Grasselli, Martino & Van Weverberg, Christopher, 2016. "The role of the dependence between mortality and interest rates when pricing Guaranteed Annuity Options," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 205-219.
    2. Wang, Hang & Hu, Zhijun, 2020. "Optimal consumption and portfolio decision with stochastic covariance in incomplete markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    3. Da Fonseca, José, 2024. "Pricing guaranteed annuity options in a linear-rational Wishart mortality model," Insurance: Mathematics and Economics, Elsevier, vol. 115(C), pages 122-131.
    4. Denuit, Michel & Lu, Yang, 2020. "Wishart-Gamma mixtures for multiperil experience ratemaking, frequency-severity experience rating and micro-loss reserving," LIDAM Discussion Papers ISBA 2020016, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Michel Denuit & Yang Lu, 2021. "Wishart‐gamma random effects models with applications to nonlife insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(2), pages 443-481, June.
    6. Misha Beek & Michel Mandjes & Peter Spreij & Erik Winands, 2020. "Regime switching affine processes with applications to finance," Finance and Stochastics, Springer, vol. 24(2), pages 309-333, April.
    7. Mayerhofer, Eberhard & Stelzer, Robert & Vestweber, Johanna, 2020. "Geometric ergodicity of affine processes on cones," Stochastic Processes and their Applications, Elsevier, vol. 130(7), pages 4141-4173.

  15. Carl Chiarella & Corrado Di Guilmi, 2014. "Financial instability and debt deflation dynamics in a bottom-up approach," Economics Bulletin, AccessEcon, vol. 34(1), pages 125-132.

    Cited by:

    1. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.

  16. Chiarella, Carl & He, Xue-Zhong & Zwinkels, Remco C.J., 2014. "Heterogeneous expectations in asset pricing: Empirical evidence from the S&P500," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 1-16.
    See citations under working paper version above.
  17. Matsumoto, Akio & Chiarella, Carl & Szidarovszky, Ferenc, 2013. "Dynamic monopoly with bounded continuously distributed delay," Chaos, Solitons & Fractals, Elsevier, vol. 47(C), pages 66-72.

    Cited by:

    1. Matsumoto, Akio & Szidarovszky, Ferenc, 2014. "Complex dynamics of monopolies with gradient adjustment," Economic Modelling, Elsevier, vol. 42(C), pages 220-229.
    2. Deborah Lacitignola, 2021. "Handling Hysteresis in a Referral Marketing Campaign with Self-Information. Hints from Epidemics," Mathematics, MDPI, vol. 9(6), pages 1-17, March.
    3. Cavalli, Fausto & Naimzada, Ahmad, 2015. "Effect of price elasticity of demand in monopolies with gradient adjustment," Chaos, Solitons & Fractals, Elsevier, vol. 76(C), pages 47-55.
    4. Caravaggio, Andrea & Sodini, Mauro, 2020. "Monopoly with differentiated final goods and heterogeneous markets," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    5. Luca Guerrini & Nicolò Pecora & Mauro Sodini, 2018. "Effects of fixed and continuously distributed delays in a monopoly model with constant price elasticity," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 239-257, November.

  18. Gerald H. L. Cheang & Carl Chiarella & Andrew Ziogas, 2013. "The representation of American options prices under stochastic volatility and jump-diffusion dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 13(2), pages 241-253, January.

    Cited by:

    1. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2020. "A Put-Call Transformation of the Exchange Option Problem under Stochastic Volatility and Jump Diffusion Dynamics," Papers 2002.10194, arXiv.org.
    2. Gerald H. L. Cheang & Len Patrick Dominic M. Garces, 2020. "Representation of Exchange Option Prices under Stochastic Volatility Jump-Diffusion Dynamics," Papers 2002.10202, arXiv.org.
    3. Boda Kang & Christina Nikitopoulos Sklibosios & Erik Schlogl & Blessing Taruvinga, 2019. "The Impact of Jumps on American Option Pricing: The S&P 100 Options Case," Research Paper Series 397, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. F. Antonelli & A. Ramponi & S. Scarlatti, 2016. "Random Time Forward-Starting Options," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(08), pages 1-25, December.
    5. Thomas Adolfsson & Carl Chiarella & Andrew Ziogas & Jonathan Ziveyi, 2013. "Representation and Numerical Approximation of American Option Prices under Heston Stochastic Volatility Dynamics," Research Paper Series 327, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Chockalingam, Arun & Feng, Haolin, 2015. "The implication of missing the optimal-exercise time of an American option," European Journal of Operational Research, Elsevier, vol. 243(3), pages 883-896.
    7. Ma, Jingtang & Yang, Wensheng & Cui, Zhenyu, 2021. "CTMC integral equation method for American options under stochastic local volatility models," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
    8. Le, Nhat-Tan & Dang, Duy-Minh, 2017. "Pricing American-style Parisian down-and-out call options," Applied Mathematics and Computation, Elsevier, vol. 305(C), pages 330-347.
    9. Len Patrick Dominic M. Garces & Gerald H. L. Cheang, 2021. "A Numerical Approach to Pricing Exchange Options under Stochastic Volatility and Jump-Diffusion Dynamics," Papers 2106.07362, arXiv.org.
    10. Hsiang-Hsi Liu & Yu-Cheng Lin, 2021. "Relationships among US S&P500 Stock Index, its Futures and NASDAQ Index Futures with Volatility Spillover and Jump Diffusion: Modeling and Hedging Performance," Bulletin of Applied Economics, Risk Market Journals, vol. 8(1), pages 121-148.
    11. Song Bin & Liang Enqi & Liu Bing, 2014. "American Option Pricing Using Particle Filtering Under Stochastic Volatility Correlated Jump Model," Journal of Systems Science and Information, De Gruyter, vol. 2(6), pages 505-519, December.
    12. Zhe Li, 2020. "Equity Option Pricing with Systematic and Idiosyncratic Volatility and Jump Risks," JRFM, MDPI, vol. 13(1), pages 1-18, January.

  19. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2013. "An evolutionary CAPM under heterogeneous beliefs," Annals of Finance, Springer, vol. 9(2), pages 185-215, May.
    See citations under working paper version above.
  20. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos Sklibosios, 2013. "Credit Derivatives Pricing With Stochastic Volatility Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1-28.
    See citations under working paper version above.
  21. Chiarella, Carl & Kang, Boda & Nikitopoulos, Christina Sklibosios & Tô, Thuy-Duong, 2013. "Humps in the volatility structure of the crude oil futures market: New evidence," Energy Economics, Elsevier, vol. 40(C), pages 989-1000.
    See citations under working paper version above.
  22. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2013. "Time-varying beta: a boundedly rational equilibrium approach," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 609-639, July.
    See citations under working paper version above.
  23. Carl Chiarella & Xue-Zhong He & Min Zheng, 2013. "Heterogeneous expectations and exchange rate dynamics," The European Journal of Finance, Taylor & Francis Journals, vol. 19(5), pages 392-419, May.
    See citations under working paper version above.
  24. Chiarella, Carl & Flaschel, Peter & Hartmann, Florian & Proaño, Christian R., 2012. "Stock market booms, endogenous credit creation and the implications of broad and narrow banking for macroeconomic stability," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 410-423.
    See citations under working paper version above.
  25. Chiarella, Carl & He, Xue-Zhong & Huang, Weihong & Zheng, Huanhuan, 2012. "Estimating behavioural heterogeneity under regime switching," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 446-460.
    See citations under working paper version above.
  26. Chiarella, Carl & He, Xue-Zhong & Pellizzari, Paolo, 2012. "A Dynamic Analysis Of The Microstructure Of Moving Average Rules In A Double Auction Market," Macroeconomic Dynamics, Cambridge University Press, vol. 16(4), pages 556-575, September.
    See citations under working paper version above.
  27. Giansante, Simone & Chiarella, Carl & Sordi, Serena & Vercelli, Alessandro, 2012. "Structural contagion and vulnerability to unexpected liquidity shortfalls," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 558-569.

    Cited by:

    1. Geraci, Marco Valerio & Gnabo, Jean-Yves, 2018. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying Vector Autoregressions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1371-1390, June.
    2. Peter Klimek & Sebastian Poledna & J. Doyne Farmer & Stefan Thurner, 2014. "To bail-out or to bail-in? Answers from an agent-based model," Papers 1403.1548, arXiv.org.
    3. Giampaolo Gabbi & Alesia Kalbaska & Alessandro Vercelli, 2014. "Factors generating and transmitting the financial crisis: The role of incentives: securitization and contagion," Working papers wpaper56, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    4. Giansante, Simone & Manfredi, Sabato & Markose, Sheri, 2023. "Fair immunization and network topology of complex financial ecosystems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).
    5. Hałaj, Grzegorz, 2018. "Agent-based model of system-wide implications of funding risk," Working Paper Series 2121, European Central Bank.
    6. Hałaj, Grzegorz, 2018. "System-wide implications of funding risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1151-1181.
    7. Marco Valerio Geraci & Jean-Yves Gnabo, 2015. "Measuring Interconnectedness between Financial Institutions with Bayesian Time-Varying VARS," Working Papers ECARES ECARES 2015-51, ULB -- Universite Libre de Bruxelles.
    8. Passarella, Marco, 2011. "From the village fair to Wall Street. The Italian reception of Minsky’s economic thought," MPRA Paper 49593, University Library of Munich, Germany.
    9. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    10. Bargigli, Leonardo & Gallegati, Mauro & Riccetti, Luca & Russo, Alberto, 2014. "Network analysis and calibration of the “leveraged network-based financial accelerator”," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 109-125.

  28. Chiarella Carl & Di Guilmi Corrado, 2012. "The Fiscal Cost of Financial Instability," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(4), pages 1-29, October.

    Cited by:

    1. Carl Chiarella & Corrado Di Guilmi, 2013. "Monetary Policy and Debt Deflation: Some Computational Experiments," CAMA Working Papers 2013-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Guilmi, Corrado Di & Fujiwara, Yoshi, 2022. "Dual labor market, financial fragility, and deflation in an agent-based model of the Japanese macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 346-371.
    3. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.
    4. Carl Chiarella & Corrado Di Guilmi, 2014. "Financial instability and debt deflation dynamics in a bottom-up approach," Economics Bulletin, AccessEcon, vol. 34(1), pages 125-132.

  29. Chiarella Carl & Flaschel Peter & Köper Carsten & Proaño Christian & Semmler Willi, 2012. "Macroeconomic Stabilization Policies in Intrinsically Unstable Macroeconomies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(2), pages 1-38, April.

    Cited by:

    1. De Grauwe, Paul & Foresti, Pasquale, 2023. "Interactions of fiscal and monetary policies under waves of optimism and pessimism," LSE Research Online Documents on Economics 119452, London School of Economics and Political Science, LSE Library.

  30. Toichiro Asada & Carl Chiarella & Peter Flaschel & Tarik Mouakil & Christian Proaño & Willi Semmler, 2011. "Stock‐Flow Interactions, Disequilibrium Macroeconomics And The Role Of Economic Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 25(3), pages 569-599, July.

    Cited by:

    1. Ogawa, Shogo, 2020. "Monetary Growth with Disequilibrium: a Non-Walrasian baseline model," MPRA Paper 101236, University Library of Munich, Germany.
    2. Ricardo A. Araújo & Marwil J. Dávila-Fernández, 2018. "Some new insights on the empirics of Goodwin’s growth-cycle model," Department of Economics University of Siena 790, Department of Economics, University of Siena.
    3. Orlando Gomes & J. C. Sprott, 2017. "Sentiment-driven limit cycles and chaos," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 729-760, September.
    4. Robert W. Dimand, 2014. "James Tobin and Modern Monetary Theory," Center for the History of Political Economy Working Paper Series 2014-5, Center for the History of Political Economy.
    5. Chiarella Carl & Flaschel Peter & Köper Carsten & Proaño Christian & Semmler Willi, 2012. "Macroeconomic Stabilization Policies in Intrinsically Unstable Macroeconomies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(2), pages 1-38, April.
    6. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2021. "(Ir)rational explorers in the financial jungle," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1157-1188, September.
    7. Carlos Eduardo Iwai Drumond & Cleiton Silva Jesus & João Basilio Pereima & Hiroyuki Yoshida, 2022. "Alternative monetary policy rules and expectational consistency," Evolutionary and Institutional Economics Review, Springer, vol. 19(1), pages 319-341, April.
    8. Ogawa, Shogo & Sasaki, Hiroaki, 2020. "Numerical Analysis of the Disequilibrium Monetary Growth Model: Secular Stagnation, Slow Convergence, and Cyclical Fluctuations," MPRA Paper 103845, University Library of Munich, Germany.
    9. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2020. "(Ir)rational explorers in the financial jungle: modelling Minsky with heterogeneous agents," Department of Economics University of Siena 819, Department of Economics, University of Siena.
    10. Ogawa, Shogo, 2022. "Survey of non-Walrasian disequilibrium economic theory," MPRA Paper 115011, University Library of Munich, Germany.
    11. Sołtysiak Damian, 2023. "On the stability of a certain Keynes-Metzler-Goodwin monetary growth model," Economics and Business Review, Sciendo, vol. 9(1), pages 26-64, April.

  31. Chiarella, Carl & He, Xue-Zhong & Zheng, Min, 2011. "An analysis of the effect of noise in a heterogeneous agent financial market model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 148-162, January.

    Cited by:

    1. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2012. "An Evolutionary CAPM Under Heterogeneous Beliefs," Research Paper Series 315, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Schmitt, Noemi & Westerhoff, Frank, 2017. "On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations," BERG Working Paper Series 119, Bamberg University, Bamberg Economic Research Group.
    3. Fischer, Thomas, 2011. "News Reaction in Financial Markets within a Behavioral Finance Model with Heterogeneous Agents," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 54196, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Qingbin Gong & Xundi Diao, 2022. "Bounded rationality, asymmetric information and mispricing in financial markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(1), pages 235-264, July.
    5. Gao-Feng Gu & Xiong Xiong & Hai-Chuan Xu & Wei Zhang & Yong-Jie Zhang & Wei Chen & Wei-Xing Zhou, 2017. "An empirical behavioural order-driven model with price limit rules," Papers 1704.04354, arXiv.org.
    6. Jochen Jungeilges & Tatyana Ryazanova, 2018. "Output volatility and savings in a stochastic Goodwin economy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 8(3), pages 355-380, December.
    7. Dindo, Pietro & Staccioli, Jacopo, 2018. "Asset prices and wealth dynamics in a financial market with random demand shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 187-210.
    8. Philip Z. Maymin, 2010. "Schizophrenic Representative Investors," Papers 1004.4592, arXiv.org.
    9. Razvan Stefanescu & Ramona Dumitriu, 2016. "Contrarian and Momentum Profits during Periods of High Trading Volume preceded by Stock Prices Shocks," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 378-384.
    10. Zhao, Dongxu & Li, Kai, 2022. "Bounded rationality, adaptive behaviour, and asset prices," International Review of Financial Analysis, Elsevier, vol. 80(C).
    11. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    12. Adam Majewski & Stefano Ciliberti & Jean-Philippe Bouchaud, 2018. "Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model," Papers 1807.11751, arXiv.org.
    13. Pietro Dindo & Jacopo Staccioli, 2017. "Asset prices and wealth dynamics in a financial market with endogenous liquidation risk," Working Papers 2017:31, Department of Economics, University of Venice "Ca' Foscari".
    14. Guo, Bin & Zhang, Wei & Chen, Shu-Heng & Zhang, Yongjie, 2015. "The optimal pricing of a market maker in a heterogeneous agent economy," Finance Research Letters, Elsevier, vol. 14(C), pages 178-187.
    15. Igor V. EVSTIGNEEVY & Thorsten HENS & Klaus Reiner SCHENK-HOPPE, 2010. "An evolutionary financial market model with a risk-free asset," Swiss Finance Institute Research Paper Series 10-36, Swiss Finance Institute.
    16. Majewski, Adam A. & Ciliberti, Stefano & Bouchaud, Jean-Philippe, 2020. "Co-existence of trend and value in financial markets: Estimating an extended Chiarella model," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    17. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    18. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.
    19. Din Prathumwan & Kamonchat Trachoo, 2019. "Application of the Laplace Homotopy Perturbation Method to the Black–Scholes Model Based on a European Put Option with Two Assets," Mathematics, MDPI, vol. 7(4), pages 1-11, March.
    20. Gregory Gagnon, 2012. "Exchange rate bifurcation in a stochastic evolutionary finance model," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 35(1), pages 29-58, May.
    21. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank H., 2018. "Interactions between stock, bond and housing markets," BERG Working Paper Series 133, Bamberg University, Bamberg Economic Research Group.
    22. Gaies, Brahim & Nakhli, Mohamed Sahbi & Ayadi, Rim & Sahut, Jean-Michel, 2022. "Exploring the causal links between investor sentiment and financial instability: A dynamic macro-financial analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 290-303.
    23. Din Prathumwan & Wannika Sawangtong & Panumart Sawangtong, 2017. "An Analysis on the Fractional Asset Flow Differential Equations," Mathematics, MDPI, vol. 5(2), pages 1-17, June.
    24. Xue, Yi & Gençay, Ramazan, 2012. "Hierarchical information and the rate of information diffusion," Journal of Economic Dynamics and Control, Elsevier, vol. 36(9), pages 1372-1401.
    25. Qingbin Gong & Zhe Yang, 2020. "Arbitrage, speculation and futures price fluctuations with boundedly rational and heterogeneous agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 763-791, October.
    26. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    27. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.
    28. Gong, Qingbin & Diao, Xundi, 2023. "The impacts of investor network and herd behavior on market stability: Social learning, network structure, and heterogeneity," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1388-1398.

  32. Gerald Cheang & Carl Chiarella, 2011. "Exchange Options Under Jump-Diffusion Dynamics," Applied Mathematical Finance, Taylor & Francis Journals, vol. 18(3), pages 245-276.
    See citations under working paper version above.
  33. Andreas Röthig & Carl Chiarella, 2011. "Small traders in currency futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(9), pages 898-914, September.
    See citations under working paper version above.
  34. Chiarella, Carl & Di Guilmi, Corrado, 2011. "The financial instability hypothesis: A stochastic microfoundation framework," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1151-1171, August.
    See citations under working paper version above.
  35. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "Do heterogeneous beliefs diversify market risk?," The European Journal of Finance, Taylor & Francis Journals, vol. 17(3), pages 241-258.

    Cited by:

    1. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2012. "An Evolutionary CAPM Under Heterogeneous Beliefs," Research Paper Series 315, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. He, Xue-Zhong & Shi, Lei, 2012. "Disagreement, correlation and asset prices," Economics Letters, Elsevier, vol. 116(3), pages 512-515.
    3. Alexander Zimper, 2023. "Belief aggregation for representative agent models," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(2), pages 309-342, June.
    4. Drabik, Dusan & de Gorter, Harry & Timilsina, Govinda R., 2016. "Producing biodiesel from soybeans in Zambia: An economic analysis," Food Policy, Elsevier, vol. 59(C), pages 103-109.
    5. Chauveau, Th. & Subbotin, A., 2013. "Price dynamics in a market with heterogeneous investment horizons and boundedly rational traders," Journal of Economic Dynamics and Control, Elsevier, vol. 37(5), pages 1040-1065.
    6. Wenzelburger, Jan, 2020. "Mean-variance analysis and the Modified Market Portfolio," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    7. Lei Shi, 2010. "Portfolio Analysis and Equilibrium Asset Pricing with Heterogeneous Beliefs," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2010, January-A.
    8. Xue-Zhong He & Lei Shi, 2012. "Disagreement in a Multi-Asset Market," International Review of Finance, International Review of Finance Ltd., vol. 12(3), pages 357-373, September.
    9. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    10. Xue-Zhong He & Lei Shi, 2016. "A Binomial Model of Asset and Option Pricing with Heterogeneous Beliefs," Published Paper Series 2016-4, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    11. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    12. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2015, January-A.
    14. Xue-Zhong He & Lei Shi, 2010. "Differences in Opinion and Risk Premium," Research Paper Series 271, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
    16. P. Simmons & N. Tantisantiwong, 2014. "Equilibrium moment restrictions on asset returns: normal and crisis periods," The European Journal of Finance, Taylor & Francis Journals, vol. 20(11), pages 1064-1089, November.

  36. Chiarella, Carl & Fanelli, Viviana & Musti, Silvana, 2011. "Modelling the evolution of credit spreads using the Cox process within the HJM framework: A CDS option pricing model," European Journal of Operational Research, Elsevier, vol. 208(2), pages 95-108, January.
    See citations under working paper version above.
  37. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.

    Cited by:

    1. Fredj Jawadi & Wael Louhichi & Abdoulkarim Idi Cheffou & Hachmi Ben Ameur, 2019. "Modeling time-varying beta in a sustainable stock market with a three-regime threshold GARCH model," Annals of Operations Research, Springer, vol. 281(1), pages 275-295, October.
    2. Zhu, Mei & Wang, Duo & Guo, Maozheng, 2011. "Stochastic equilibria of an asset pricing model with heterogeneous beliefs and random dividends," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 131-147, January.
    3. Zhu, Mei & Chiarella, Carl & He, Xue-Zhong & Wang, Duo, 2009. "Does the market maker stabilize the market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(15), pages 3164-3180.
    4. Jan Wenzelburger, 2010. "The two-fund separation theorem revisited," Annals of Finance, Springer, vol. 6(2), pages 221-239, March.
    5. Bart Frijns & Aaron Gilbert & Alireza Tourani-Rad, 2011. "Heterogeneity and sentiment in the stock market," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 140-151.
    6. Torsten Trimborn & Philipp Otte & Simon Cramer & Max Beikirch & Emma Pabich & Martin Frank, 2018. "SABCEMM-A Simulator for Agent-Based Computational Economic Market Models," Papers 1801.01811, arXiv.org, revised Oct 2018.
    7. Torsten Trimborn & Philipp Otte & Simon Cramer & Maximilian Beikirch & Emma Pabich & Martin Frank, 2020. "SABCEMM: A Simulator for Agent-Based Computational Economic Market Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 707-744, February.
    8. Carl Chiarella & Xue-Zhong He & Min Zheng, 2007. "The Stochastic Dynamics of Speculative Prices," Research Paper Series 208, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Christian Lax & Torsten Trimborn, 2019. "From Disequilibrium Markets to Equilibrium," Papers 1912.09679, arXiv.org.

  38. Asada, Toichiro & Chiarella, Carl & Flaschel, Peter & Mouakil, Tarik & Proaño, Christian R., 2010. "Stabilizing an unstable economy: On the choice of proper policy measures," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-43.
    See citations under working paper version above.
  39. Chiarella, Carl & Hung, Hing & T, Thuy-Duong, 2009. "The volatility structure of the fixed income market under the HJM framework: A nonlinear filtering approach," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2075-2088, April.
    See citations under working paper version above.
  40. Carl Chiarella & Boda Kang & Gunter H. Meyer & Andrew Ziogas, 2009. "The Evaluation Of American Option Prices Under Stochastic Volatility And Jump-Diffusion Dynamics Using The Method Of Lines," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 393-425.
    See citations under working paper version above.
  41. Ramaprasad Bhar & Carl Chiarella, 2009. "Inference on forward exchange rate risk premium: reviewing signal extraction methods," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 115-125.

    Cited by:

    1. Aziz Chouikh & Abdelwahed Trabelsi, 2014. "Modeling Risk Premia in Forward Foreign Exchange Rates as Unobserved Components: The Model Identification Problem," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(3), pages 119-135, July.
    2. Chung Y. Peter & Zhou Zhong-guo, 2012. "The Pricing of Time-Varying Exchange Rate Risk in the Stock Market: A Nonparametric Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-33, January.

  42. Carl Chiarella & Andrew Ziogas, 2009. "American Call Options Under Jump-Diffusion Processes - A Fourier Transform Approach," Applied Mathematical Finance, Taylor & Francis Journals, vol. 16(1), pages 37-79.
    See citations under working paper version above.
  43. Chiarella, Carl & Iori, Giulia, 2009. "The impact of heterogeneous trading rules on the limit order book and order flows," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 525-537.
    See citations under working paper version above.
  44. Zhu, Mei & Chiarella, Carl & He, Xue-Zhong & Wang, Duo, 2009. "Does the market maker stabilize the market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(15), pages 3164-3180.

    Cited by:

    1. Ahmad K. Naimzada & Giorgio Ricchiuti, 2014. "Complexity with Heterogeneous Fundamentalists and a Multiplicative Price Mechanism," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 43(3), pages 233-247, November.
    2. Tramontana, Fabio & Westerhoff, Frank & Gardini, Laura, 2010. "On the complicated price dynamics of a simple one-dimensional discontinuous financial market model with heterogeneous interacting traders," Journal of Economic Behavior & Organization, Elsevier, vol. 74(3), pages 187-205, June.
    3. Mignot, Sarah & Westerhoff, Frank H., 2023. "Explaining the stylized facts of foreign exchange markets with a simple agent-based version of Paul de Grauwe's chaotic exchange rate model," BERG Working Paper Series 189, Bamberg University, Bamberg Economic Research Group.
    4. Jiri Kukacka & Jozef Barunik, 2012. "Behavioural breaks in the heterogeneous agent model: the impact of herding, overconfidence, and market sentiment," Papers 1205.3763, arXiv.org, revised May 2013.
    5. Xue-Zhong He & Min Zheng, 2010. "Dynamics of Moving Average Rules in a Continuous-time Financial Market Model," Research Paper Series 268, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Hommes, Cars & Li, Kai & Wagener, Florian, 2022. "Production delays and price dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 341-362.
    7. Huang, Weihong & Chen, Zhenxi, 2014. "Modeling regional linkage of financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 18-31.
    8. Huang, Weihong & Chen, Zhenxi, 2020. "Modelling contagion of financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    9. Fausto Cavalli & Ahmad Naimzada & Nicol`o Pecora & Marina Pireddu, 2018. "Agents' beliefs and economic regimes polarization in interacting markets," Papers 1805.00387, arXiv.org.
    10. Changtai Li & Weihong Huang & Wei-Siang Wang & Wai-Mun Chia, 2023. "Price Change and Trading Volume: Behavioral Heterogeneity in Stock Market," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 677-713, February.
    11. Weihong HUANG & Zhenxi CHEN, 2012. "Regional Financial Markets With Common Currency," Economic Growth Centre Working Paper Series 1210, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    12. Alex Lord & Philip O’Brien, 2017. "What price planning? Reimagining planning as “market maker”," Planning Theory & Practice, Taylor & Francis Journals, vol. 18(2), pages 217-232, April.
    13. Alessandro Carraro & Giorgio Ricchiuti, 2014. "Heterogeneous Fundamentalists and Market Maker Inventories," Working Papers - Economics wp2014_16.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    14. Fausto Cavalli & Ahmad Naimzada & Nicolò Pecora, 2019. "Complex interplay between monetary and fiscal policies in a real economy model," Working Papers 409, University of Milano-Bicocca, Department of Economics, revised May 2019.
    15. Guo, Bin & Zhang, Wei & Chen, Shu-Heng & Zhang, Yongjie, 2015. "The optimal pricing of a market maker in a heterogeneous agent economy," Finance Research Letters, Elsevier, vol. 14(C), pages 178-187.
    16. Leonardo Bargigli, 2021. "A model of market making with heterogeneous speculators," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 1-28, January.
    17. Niu, Xiaojian & Niu, Xiaoli & Wu, Kexing, 2021. "Implicit government guarantees and the externality of portfolio diversification: A complex network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    18. Luis Goncalves de Faria, 2022. "An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation," Papers 2206.09772, arXiv.org.
    19. F. Cavalli & A. Naimzada & M. Pireddu, 2017. "An evolutive financial market model with animal spirits: imitation and endogenous beliefs," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1007-1040, November.
    20. Domenico Delli Gatti & Tommaso Ferraresi & Filippo Gusella & Lilit Popoyan & Giorgio Ricchiuti & Andrea Roventini, 2024. "The complex interplay between exchange rate and real markets: an agent-based model exploration," LEM Papers Series 2024/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    21. Domenico Delli Gatti & Tommaso Ferraresi & Filippo Gusella & Lilit Popoyan & Giorgio Ricchiuti & Andrea Roventini, 2024. "The interplay between real and exchange rate market: an agent-based model approach," Working Papers - Economics wp2024_10.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    22. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    23. F. Cavalli & A. Naimzada & N. Pecora & M. Pireddu, 2021. "Market sentiment and heterogeneous agents in an evolutive financial model," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1189-1219, September.
    24. Dieci, Roberto & Westerhoff, Frank, 2010. "Heterogeneous speculators, endogenous fluctuations and interacting markets: A model of stock prices and exchange rates," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 743-764, April.
    25. Jia-Ping Huang & Yang Zhang & Juanxi Wang, 2023. "Dynamic effects of social influence on asset prices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 671-699, July.
    26. Cavalli, Fausto & Naimzada, Ahmad & Pecora, Nicolò & Pireddu, Marina, 2018. "Market sentiment and heterogeneous fundamentalists in an evolutive financial market mode," MPRA Paper 90289, University Library of Munich, Germany.
    27. Zhang, Ting & Li, Honggang, 2013. "Buying on margin, selling short in an agent-based market model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4075-4082.

  45. Chiarella, Carl & He, Xue-Zhong & Wang, Duo & Zheng, Min, 2008. "The stochastic bifurcation behaviour of speculative financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3837-3846.

    Cited by:

    1. Schmitt, Noemi & Westerhoff, Frank, 2017. "On the bimodality of the distribution of the S&P 500's distortion: Empirical evidence and theoretical explanations," BERG Working Paper Series 119, Bamberg University, Bamberg Economic Research Group.
    2. Xu, Yong & Feng, Jing & Li, JuanJuan & Zhang, Huiqing, 2013. "Stochastic bifurcation for a tumor–immune system with symmetric Lévy noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4739-4748.
    3. Wang, Luxuan & Niu, Ben & Wei, Junjie, 2016. "Dynamical analysis for a model of asset prices with two delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 297-313.
    4. Geoffrey Poitras & John Heaney, 2015. "Classical Ergodicity and Modern Portfolio Theory," Post-Print hal-03680380, HAL.
    5. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    6. Wang, Lei & Gao, Chunjie & Rifhat, Ramziya & Wang, Kai & Teng, Zhidong, 2024. "Stationary distribution and bifurcation analysis for a stochastic SIS model with nonlinear incidence and degenerate diffusion," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    7. Adam Majewski & Stefano Ciliberti & Jean-Philippe Bouchaud, 2018. "Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model," Papers 1807.11751, arXiv.org.
    8. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Poitras, Geoffrey, 2018. "The pre-history of econophysics and the history of economics: Boltzmann versus the marginalists," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 89-98.
    10. Majewski, Adam A. & Ciliberti, Stefano & Bouchaud, Jean-Philippe, 2020. "Co-existence of trend and value in financial markets: Estimating an extended Chiarella model," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    11. Gregory Gagnon, 2012. "Exchange rate bifurcation in a stochastic evolutionary finance model," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 35(1), pages 29-58, May.
    12. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank H., 2018. "Interactions between stock, bond and housing markets," BERG Working Paper Series 133, Bamberg University, Bamberg Economic Research Group.
    13. Zou, Xiaoling & Ma, Pengyu & Zhang, Liren & Lv, Jingliang, 2022. "Dynamic properties for a stochastic food chain model," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).

  46. Carl Chiarella & Roberto Dieci & Laura Gardini & Lucia Sbragia, 2008. "A Model of Financial Market Dynamics with Heterogeneous Beliefs and State-Dependent Confidence," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 55-72, September.

    Cited by:

    1. Peter Flaschel & Florian Hartmann & Chris Malikane & Christian R. Proaño, 2014. "A Behavioral Macroeconomic Model of Exchange Rate Fluctuations with Complex Market Expectations Formation," IEER Working Papers 98, Institute of Empirical Economic Research, Osnabrueck University, revised 29 Jan 2014.

  47. Carl Chiarella & Christina Nikitopoulos Sklibosios & Erik Schlögl, 2007. "A Markovian Defaultable Term Structure Model With State Dependent Volatilities," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 155-202.
    See citations under working paper version above.
  48. Andreas Röthig & Carl Chiarella, 2007. "Investigating nonlinear speculation in cattle, corn, and hog futures markets using logistic smooth transition regression models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(8), pages 719-737, August.
    See citations under working paper version above.
  49. Chiarella, Carl & Dieci, Roberto & He, Xue-Zhong, 2007. "Heterogeneous expectations and speculative behavior in a dynamic multi-asset framework," Journal of Economic Behavior & Organization, Elsevier, vol. 62(3), pages 408-427, March.
    See citations under working paper version above.
  50. Carl Chiarella & Chih-Ying Hsiao & Willi Semmler, 2007. "Intertemporal asset allocation when the underlying factors are unobservable," Computational Economics, Springer;Society for Computational Economics, vol. 29(3), pages 383-418, May.

    Cited by:

    1. Willi Semmler, 2006. "Asset Prices, Booms and Recessions," Springer Books, Springer, edition 0, number 978-3-540-24696-1, March.
    2. Raphaele Chappe & Willi Semmler, 2019. "Financial Market as Driver for Disparity in Wealth Accumulation—A Receding Horizon Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 1231-1261, October.

  51. Agliari, Anna & Chiarella, Carl & Gardini, Laura, 2006. "A re-evaluation of adaptive expectations in light of global nonlinear dynamic analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 60(4), pages 526-552, August.

    Cited by:

    1. Tramontana, Fabio & Gardini, Laura & Puu, Tönu, 2010. "Global bifurcations in a piecewise-smooth Cournot duopoly game," Chaos, Solitons & Fractals, Elsevier, vol. 43(1), pages 15-24.
    2. Gori, Luca & Sodini, Mauro, 2017. "Price competition in a nonlinear differentiated duopoly," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 557-567.
    3. Luciano Fanti & Luca Gori, 2011. "Stability analysis in a Bertrand duopoly with different product quality and heterogeneous expectations," Discussion Papers 2011/122, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    4. Fanti, Luciano & Gori, Luca, 2011. "Stability analysis in a Cournot duopoly with managerial sales delegation and bounded rationality," MPRA Paper 33828, University Library of Munich, Germany.
    5. Fabio Lamantia & Mario Pezzino, 2017. "Dynamic Analysis of Discontinuous Best Response with Innovation," Economics Discussion Paper Series 1708, Economics, The University of Manchester.
    6. Gerunov, Anton, 2014. "Критичен Преглед На Основните Подходи За Моделиране На Икономическите Очаквания [A Critical Review of Major Approaches for Modeling Economic Expectations]," MPRA Paper 68797, University Library of Munich, Germany.
    7. Luca Gori & Nicolò Pecora & Mauro Sodini, 2017. "Market share delegation in a nonlinear duopoly with quantity competition: the role of dynamic entry barriers," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 905-931, November.
    8. Fanti, Luciano & Gori, Luca & Sodini, Mauro, 2012. "Nonlinear dynamics in a Cournot duopoly with relative profit delegation," MPRA Paper 37834, University Library of Munich, Germany.
    9. Bekiros, Stelios & Laarem, Guessas & Mou, Jun & Al-Barakati, Abdullah A. & Jahanshahi, Hadi, 2023. "Heterogeneous agent-based modeling of endogenous boom-bust cycles in financial markets with adaptive expectations and dynamically switching fractions between contrarian and fundamental market entry st," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    10. Luciano Fanti & Luca Gori & Cristiana Mammana & Elisabetta Michetti, 2018. "A model of growth with inherited tastes," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 163-186, November.
    11. Tramontana, Fabio & Gardini, Laura & Puu, Tönu, 2011. "Mathematical properties of a discontinuous Cournot–Stackelberg model," Chaos, Solitons & Fractals, Elsevier, vol. 44(1), pages 58-70.
    12. Westerhoff, Frank & Wieland, Cristian, 2010. "A behavioral cobweb-like commodity market model with heterogeneous speculators," Economic Modelling, Elsevier, vol. 27(5), pages 1136-1143, September.
    13. Agliari, Anna & Naimzada, Ahmad & Pecora, Nicolò, 2018. "Boom-bust dynamics in a stock market participation model with heterogeneous traders," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 458-468.
    14. Agliari, Anna & Dieci, Roberto & Gardini, Laura, 2007. "Homoclinic tangles in a Kaldor-like business cycle model," Journal of Economic Behavior & Organization, Elsevier, vol. 62(3), pages 324-347, March.
    15. T. Scott Findley, 2015. "Hyperbolic Memory Discounting and the Political Business Cycle," CESifo Working Paper Series 5556, CESifo.
    16. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585, March.
    17. Fanti, Luciano & Gori, Luca & Sodini, Mauro, 2015. "Nonlinear dynamics in a Cournot duopoly with isoelastic demand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 108(C), pages 129-143.
    18. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.
    19. Fanti, Luciano & Gori, Luca & Mammana, Cristiana & Michetti, Elisabetta, 2013. "The dynamics of a Bertrand duopoly with differentiated products: Synchronization, intermittency and global dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 52(C), pages 73-86.

  52. Chiarella, Carl & He, Xue-Zhong & Hommes, Cars, 2006. "A dynamic analysis of moving average rules," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1729-1753.
    See citations under working paper version above.
  53. Chiarella, Carl & Dieci, Roberto & Gardini, Laura, 2006. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1755-1786.
    See citations under working paper version above.
  54. Chiarella, Carl & He, Xue-Zhong & Hung, Hing & Zhu, Peiyuan, 2006. "An analysis of the cobweb model with boundedly rational heterogeneous producers," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 750-768, December.

    Cited by:

    1. Colucci, Domenico & Valori, Vincenzo, 2011. "Adaptive expectations and cobweb phenomena: Does heterogeneity matter?," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1307-1321, August.
    2. Xue-Zhong He & Min Zheng, 2010. "Dynamics of Moving Average Rules in a Continuous-time Financial Market Model," Research Paper Series 268, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Hommes, Cars & Li, Kai & Wagener, Florian, 2022. "Production delays and price dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 341-362.
    4. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
    5. Baogui Xin & Tong Chen & Junhai Ma, 2010. "Neimark-Sacker Bifurcation in a Discrete-Time Financial System," Discrete Dynamics in Nature and Society, Hindawi, vol. 2010, pages 1-12, September.
    6. Guo Feng & Liu Chong & Shi Qingling, 2019. "Smart or stupid depends on who is your counterpart: a cobweb model with heterogeneous expectations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(5), pages 1-17, December.
    7. Zaremba, Łukasz, 2018. "Cobweb theorem in relation to the fruit market," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2018(3).
    8. Xue-Zhong He & Youwei Li, 2015. "Testing of a Market Fraction Model and Power-Law Behaviour in the Dax 30," Research Paper Series 354, Quantitative Finance Research Centre, University of Technology, Sydney.
    9. Domenico Colucci & Vincenzo Valori, 2009. "Heterogeneous adaptive expectations and cobweb phenomena," Working Papers - Mathematical Economics 2009-01, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    10. Dieci, Roberto & Westerhoff, Frank, 2010. "Interacting cobweb markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 461-481, September.
    11. Sögner, Leopold, 2015. "Learning, convergence and economic constraints," Mathematical Social Sciences, Elsevier, vol. 75(C), pages 27-43.
    12. Ge Gao & Xinmin Liu & Huijun Sun & Jianjun Wu & Haiqing Liu & Wei (Walker) Wang & Zhen Wang & Tao Wang & Haoming Du, 2019. "Marginal Cost Pricing Analysis on Tradable Credits in Traffic Engineering," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-10, January.
    13. Westerhoff, Frank & Wieland, Cristian, 2010. "A behavioral cobweb-like commodity market model with heterogeneous speculators," Economic Modelling, Elsevier, vol. 27(5), pages 1136-1143, September.
    14. Roberto Dieci & Xue-Zhong He, 2021. "Cross-section instability in financial markets: impatience, extrapolation, and switching," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 727-754, December.
    15. Luca Gori & Luca Guerrini & Mauro Sodini, 2014. "Hopf Bifurcation in a Cobweb Model with Discrete Time Delays," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-8, June.
    16. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
    17. Youwei Li & Xue-Zhong (Tony) He, 2005. "Heterogeneity, Profitability and Autocorrelations," Computing in Economics and Finance 2005 244, Society for Computational Economics.

  55. Chiarella, Carl & He, Xue-Zhong & Wang, Duo, 2006. "A behavioral asset pricing model with a time-varying second moment," Chaos, Solitons & Fractals, Elsevier, vol. 29(3), pages 535-555.
    See citations under working paper version above.
  56. Chiarella, Carl & He, Xue-Zhong & Hommes, Cars, 2006. "Moving average rules as a source of market instability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 12-17.

    Cited by:

    1. Hermsen, Oliver & Witte, Björn-Christopher & Westerhoff, Frank, 2009. "Disclosure requirements, the release of new information and market efficiency: new insights from agent-based models," Economics Discussion Papers 2009-51, Kiel Institute for the World Economy (IfW Kiel).
    2. Ron Bird & Xiaojun Gao & Danny Yeung, 2017. "Time-series and cross-sectional momentum strategies under alternative implementation strategies," Australian Journal of Management, Australian School of Business, vol. 42(2), pages 230-251, May.
    3. Carl Chiarella & Corrado Di Guilmi, 2011. "Limit Distribution of Evolving Strategies in Financial Markets," Research Paper Series 294, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Fabio Della Rossa & Lorenzo Giannini & Pietro DeLellis, 2020. "Herding or wisdom of the crowd? Controlling efficiency in a partially rational financial market," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    5. Marcus Davidsson, 2014. "Tactic Asset Allocation and Conditional Return Expectations," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 3(2), pages 1-1.
    6. Bischi, Gian Italo & Merlone, Ugo & Pruscini, Eros, 2018. "Evolutionary dynamics in club goods binary games," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 104-119.
    7. Peng Chen & Dongyun Yi & Chengli Zhao, 2020. "Trading Strategy for Market Situation Estimation Based on Hidden Markov Model," Mathematics, MDPI, vol. 8(7), pages 1-13, July.
    8. Witte, Björn-Christopher, 2011. "Removing systematic patterns in returns in a financial market model by artificially intelligent traders," BERG Working Paper Series 82, Bamberg University, Bamberg Economic Research Group.
    9. Chiarella, Carl & He, Xue-Zhong & Zheng, Min, 2011. "An analysis of the effect of noise in a heterogeneous agent financial market model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 148-162, January.
    10. Mikhail Anufriev & Pietro Dindo, 2007. "Wealth-driven Selection in a Financial Market with Heterogeneous Agents," LEM Papers Series 2007/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Xue-Zhong He & Youwei Li, 2015. "Testing of a Market Fraction Model and Power-Law Behaviour in the Dax 30," Research Paper Series 354, Quantitative Finance Research Centre, University of Technology, Sydney.
    12. Kantar, Ersin & Deviren, Bayram & Keskin, Mustafa, 2014. "Hierarchical structure of the European countries based on debts as a percentage of GDP during the 2000–2011 period," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 95-107.
    13. Agliari, Anna & Naimzada, Ahmad & Pecora, Nicolò, 2018. "Boom-bust dynamics in a stock market participation model with heterogeneous traders," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 458-468.
    14. Carl Chiarella & Xue-Zhong He & Paolo Pellizzari, 2009. "A Dynamic Analysis of the Microstructure of Moving Average Rules in a Double Auction Market," Research Paper Series 251, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Kyrtsou, Catherine, 2008. "Re-examining the sources of heteroskedasticity: The paradigm of noisy chaotic models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(27), pages 6785-6789.
    16. Christopher D. Clack & Elias Court & Dmitrijs Zaparanuks, 2020. "Dynamic Coupling and Market Instability," Papers 2005.13621, arXiv.org.
    17. Gündüz, Güngör & Gündüz, Yalin, 2010. "Viscoelastic behavior of stock indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5776-5784.
    18. Malliaris, A.G. & Kyrtsou, C., 2009. "Editorial introduction of the special issue: "Energy sector pricing and macroeconomic dynamics"," Energy Economics, Elsevier, vol. 31(6), pages 825-826, November.
    19. Franke, Reiner, 2010. "On the specification of noise in two agent-based asset pricing models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(6), pages 1140-1152, June.
    20. Carl Chiarella & Xue-Zhong He & Min Zheng, 2007. "The Stochastic Dynamics of Speculative Prices," Research Paper Series 208, Quantitative Finance Research Centre, University of Technology, Sydney.

  57. Asada, Toichiro & Chen, Pu & Chiarella, Carl & Flaschel, Peter, 2006. "Keynesian dynamics and the wage-price spiral: A baseline disequilibrium model," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 90-130, March.
    See citations under working paper version above.
  58. Carl Chiarella & Thuy-Duong Tô, 2006. "The Multifactor Nature of the Volatility of Futures Markets," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 163-183, May.

    Cited by:

    1. Giuliano De Rossi, 2004. "Maximum likelihood estimation of the Cox-Ingersoll-Ross model using particle filters," Computing in Economics and Finance 2004 302, Society for Computational Economics.
    2. Alex Huang, 2011. "Volatility Modeling by Asymmetrical Quadratic Effect with Diminishing Marginal Impact," Computational Economics, Springer;Society for Computational Economics, vol. 37(3), pages 301-330, March.
    3. Carl Chiarella & Hing Hung & Thuy-Duong To, 2005. "The Volatility Structure of the Fixed Income Market under the HJM Framework: A Nonlinear Filtering Approach," Research Paper Series 151, Quantitative Finance Research Centre, University of Technology, Sydney.
    4. Giuliano De Rossi, 2010. "Maximum Likelihood Estimation of the Cox–Ingersoll–Ross Model Using Particle Filters," Computational Economics, Springer;Society for Computational Economics, vol. 36(1), pages 1-16, June.

  59. Carl Chiarella & Roberto Dieci & Laura Gardini, 2005. "The Dynamic Interaction of Speculation and Diversification," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(1), pages 17-52.

    Cited by:

    1. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2012. "An Evolutionary CAPM Under Heterogeneous Beliefs," Research Paper Series 315, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-varying economic dominance in financial markets: A bistable dynamics approach," Published Paper Series 2018-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Tramontana, Fabio & Westerhoff, Frank & Gardini, Laura, 2010. "On the complicated price dynamics of a simple one-dimensional discontinuous financial market model with heterogeneous interacting traders," Journal of Economic Behavior & Organization, Elsevier, vol. 74(3), pages 187-205, June.
    4. Grosche, Stephanie & Heckelei, Thomas, 2014. "Price dynamics and financialization effects in corn futures markets with heterogeneous traders," Discussion Papers 172077, University of Bonn, Institute for Food and Resource Economics.
    5. Fabio Tramontana & Laura Gardini & Roberto Dieci & Frank Westerhoff, 2009. "The Emergence of Bull and Bear Dynamics in a Nonlinear Model of Interacting Markets," Discrete Dynamics in Nature and Society, Hindawi, vol. 2009, pages 1-30, July.
    6. Frijns, Bart & Zwinkels, Remco C.J., 2020. "Absence of speculation in the European sovereign debt markets," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 245-265.
    7. Westerhoff, Frank H. & Dieci, Roberto, 2006. "The effectiveness of Keynes-Tobin transaction taxes when heterogeneous agents can trade in different markets: A behavioral finance approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 293-322, February.
    8. Ned Corron & Xue-Zhong He & Frank Westerhoff, 2007. "Butter mountains, milk lakes and optimal price limiters," Applied Economics Letters, Taylor & Francis Journals, vol. 14(15), pages 1131-1136.
    9. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental, pessimistic and overconfident traders: a piecewise-linear maps approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 707-726, December.
    10. Sansone, Alessandro & Garofalo, Giuseppe, 2007. "Asset price dynamics in a financial market with heterogeneous trading strategies and time delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 247-257.
    11. Frank H. Westerhoff, 2009. "Exchange Rate Dynamics: A Nonlinear Survey," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 11, Edward Elgar Publishing.
    12. Dieci, Roberto & Westerhoff, Frank, 2011. "On the inherent instability of international financial markets: Natural nonlinear interactions between stock and foreign exchange markets," BERG Working Paper Series 79, Bamberg University, Bamberg Economic Research Group.
    13. Sushko, Iryna & Tramontana, Fabio & Westerhoff, Frank & Avrutin, Viktor, 2015. "Symmetry breaking in a bull and bear financial market model," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 57-72.
    14. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
    15. Lei Shi, 2010. "Portfolio Analysis and Equilibrium Asset Pricing with Heterogeneous Beliefs," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2010, January-A.
    16. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2005. "Heterogeneous Expectations and Speculative Behaviour in a Dynamic Multi-Asset Framework," Research Paper Series 166, Quantitative Finance Research Centre, University of Technology, Sydney.
    17. Jungeilges, Jochen & Maklakova, Elena & Perevalova, Tatyana, 2021. "Asset price dynamics in a “bull and bear market”," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 117-128.
    18. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    19. Simon Cramer & Torsten Trimborn, 2019. "Stylized Facts and Agent-Based Modeling," Papers 1912.02684, arXiv.org.
    20. Schmitt, Noemi & Westerhoff, Frank, 2013. "Speculative behavior and the dynamics of interacting stock markets," BERG Working Paper Series 90, Bamberg University, Bamberg Economic Research Group.
    21. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    22. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "Do heterogeneous beliefs diversify market risk?," The European Journal of Finance, Taylor & Francis Journals, vol. 17(3), pages 241-258.
    23. S. Reitz & F. Westerhoff & C. Wieland, 2006. "Target Zone Interventions and Coordination of Expectations," Journal of Optimization Theory and Applications, Springer, vol. 128(2), pages 453-467, February.
    24. Xue-Zhong He & Kai Li, 2011. "Heterogeneous Beliefs and Adaptive Behaviour in a Continuous-Time Asset Price Model," Research Paper Series 291, Quantitative Finance Research Centre, University of Technology, Sydney.
    25. Anufriev, Mikhail & Bottazzi, Giulio & Marsili, Matteo & Pin, Paolo, 2012. "Excess covariance and dynamic instability in a multi-asset model," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1142-1161.
    26. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    27. Mignot, Sarah & Tramontana, Fabio & Westerhoff, Frank H., 2021. "Speculative asset price dynamics and wealth taxes," BERG Working Paper Series 169, Bamberg University, Bamberg Economic Research Group.
    28. Xue-Zhong He & Youwei Li, 2015. "Testing of a Market Fraction Model and Power-Law Behaviour in the Dax 30," Research Paper Series 354, Quantitative Finance Research Centre, University of Technology, Sydney.
    29. Li, Y. & Donkers, A.C.D. & Melenberg, B., 2006. "The Econometric Analysis of Microscopic Simulation Models," Discussion Paper 2006-99, Tilburg University, Center for Economic Research.
    30. Mark Bowden, 2015. "A model of information flows and confirmatory bias in financial markets," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 197-215, October.
    31. Jochen Jungeilges & Elena Maklakova & Tatyana Perevalova, 2022. "Stochastic sensitivity of bull and bear states," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 165-190, January.
    32. Hommes, Cars & Vroegop, Joris, 2019. "Contagion between asset markets: A two market heterogeneous agents model with destabilising spillover effects," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 314-333.
    33. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    34. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    35. de Jong, Eelke & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2009. "Behavioural heterogeneity and shift-contagion: Evidence from the Asian crisis," Journal of Economic Dynamics and Control, Elsevier, vol. 33(11), pages 1929-1944, November.
    36. Roberto Dieci & Xue-Zhong He, 2021. "Cross-section instability in financial markets: impatience, extrapolation, and switching," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 727-754, December.
    37. Qi Nan Zhai, 2015. "Asset Pricing Under Ambiguity and Heterogeneity," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2015, January-A.
    38. Loretti I. Dobrescu & Mihaela Neamtu & Gabriela Mircea, 2016. "Asset Price Dynamics in a Chartist-Fundamentalist Model with Time Delays: A Bifurcation Analysis," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-15, February.
    39. Carl Chiarella & Xue-Zhong He & Roberto Dieci & University of Technology Sydney, 2006. "A Dynamic Heterogeneous Beliefs CAPM," Computing in Economics and Finance 2006 181, Society for Computational Economics.
    40. Carl Chiarella & Xue-Zhong He & Paolo Pellizzari, 2009. "A Dynamic Analysis of the Microstructure of Moving Average Rules in a Double Auction Market," Research Paper Series 251, Quantitative Finance Research Centre, University of Technology, Sydney.
    41. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank, 2018. "Steady states, stability and bifurcations in multi-asset market models," BERG Working Paper Series 136, Bamberg University, Bamberg Economic Research Group.
    42. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2020. "Robust Mathematical Formulation And Probabilistic Description Of Agent-Based Computational Economic Market Models," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 23(06), pages 1-41, September.
    43. Dieci, Roberto & Schmitt, Noemi & Westerhoff, Frank H., 2018. "Interactions between stock, bond and housing markets," BERG Working Paper Series 133, Bamberg University, Bamberg Economic Research Group.
    44. Torsten Trimborn & Philipp Otte & Simon Cramer & Max Beikirch & Emma Pabich & Martin Frank, 2018. "SABCEMM-A Simulator for Agent-Based Computational Economic Market Models," Papers 1801.01811, arXiv.org, revised Oct 2018.
    45. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
    46. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2009. "A Framework for CAPM with Heterogenous Beliefs," Research Paper Series 254, Quantitative Finance Research Centre, University of Technology, Sydney.
    47. Brianzoni, Serena & Campisi, Giovanni, 2020. "Dynamical analysis of a financial market with fundamentalists, chartists, and imitators," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    48. Bowden, Mark P., 2012. "Information contagion within small worlds and changes in kurtosis and volatility in financial prices," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 553-566.
    49. Torsten Trimborn & Philipp Otte & Simon Cramer & Maximilian Beikirch & Emma Pabich & Martin Frank, 2020. "SABCEMM: A Simulator for Agent-Based Computational Economic Market Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 707-744, February.
    50. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental and pessimistic traders: a piecewise-linear maps approach," Department of Economics 0186, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    51. Dieci, Roberto & Westerhoff, Frank, 2010. "Heterogeneous speculators, endogenous fluctuations and interacting markets: A model of stock prices and exchange rates," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 743-764, April.
    52. Maximilian Beikirch & Simon Cramer & Martin Frank & Philipp Otte & Emma Pabich & Torsten Trimborn, 2019. "Robust Mathematical Formulation and Probabilistic Description of Agent-Based Computational Economic Market Models," Papers 1904.04951, arXiv.org, revised Mar 2021.

  60. Pu Chen & Carl Chiarella & Peter Flaschel & Willi Semmler, 2005. "Keynesian Dynamics and the Wage-Price Spiral: Analyzing and Estimating a Baseline Disequilibrium Model," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(3), pages 6-49, August.

    Cited by:

    1. Arpaia, Alfonso & Pichelmann, Karl, 2007. "Nominal and real wage flexibility in EMU," MPRA Paper 4364, University Library of Munich, Germany.
    2. Pu Chen & Peter Flaschel, 2005. "Keynesian Dynamics and the Wage–Price Spiral: Identifying Downward Rigidities," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 115-142, February.

  61. Chiarella, Carl & Clewlow, Les & Musti, Silvana, 2005. "A volatility decomposition control variate technique for Monte Carlo simulations of Heath Jarrow Morton models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 325-336, March.

    Cited by:

    1. Silvana Musti & Viviana Fanelli, 2008. "Modelling electricity forward curve dynamics in the Italian market," Quaderni DSEMS 20-2008, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    2. Viviana Fanelli & Silvana Musti, 2007. "Modelling Credit Spreads evolution using the Cox Process within the HJM framework," Quaderni DSEMS 27-2007, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    3. Carl Chiarella & Christina Nikitopoulos Sklibosios & Erik Schlogl, 2007. "A Control Variate Method for Monte Carlo Simulations of Heath-Jarrow-Morton Models with Jumps," Applied Mathematical Finance, Taylor & Francis Journals, vol. 14(5), pages 365-399.
    4. Carl Chiarella & Christina Nikitopoulos-Sklibosios & Erik Schlogl, 2005. "A Control Variate Method for Monte Carlo Simulations of Heath-Jarrow-Morton with Jumps," Research Paper Series 167, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Chiarella, Carl & Fanelli, Viviana & Musti, Silvana, 2011. "Modelling the evolution of credit spreads using the Cox process within the HJM framework: A CDS option pricing model," European Journal of Operational Research, Elsevier, vol. 208(2), pages 95-108, January.
    6. Moreno, Manuel & Platania, Federico, 2015. "A cyclical square-root model for the term structure of interest rates," European Journal of Operational Research, Elsevier, vol. 241(1), pages 109-121.
    7. Viviana Fanelli & Silvana Musti, 2007. "Pricing of CDS Options with the HJM approach: a Numerical Implementation," Quaderni DSEMS 26-2007, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.

  62. Chiarella, Carl & Ziogas, Andrew, 2005. "Evaluation of American strangles," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 31-62, January.
    See citations under working paper version above.
  63. Volker Böhm & Carl Chiarella, 2005. "Mean Variance Preferences, Expectations Formation, And The Dynamics Of Random Asset Prices," Mathematical Finance, Wiley Blackwell, vol. 15(1), pages 61-97, January.
    See citations under working paper version above.
  64. Bhar Ramaprasad & Chiarella Carl & Runggaldier Wolfgang J., 2004. "Inferring the Forward Looking Equity Risk Premium from Derivative Prices," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-26, March.

    Cited by:

    1. Eckhard Platen & Wolfgang Runggaldier, 2002. "A Benchmark Approach to Filtering in Finance," Research Paper Series 77, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Eckhard Platen & Wolfgang Runggaldier, 2007. "A Benchmark Approach to Portfolio Optimization under Partial Information," Research Paper Series 191, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Ren-Her Wang & John Aston & Cheng-Der Fuh, 2010. "The Role of Additional Information in Option Pricing: Estimation Issues for the State Space Model," Computational Economics, Springer;Society for Computational Economics, vol. 36(4), pages 283-307, December.
    4. Bhar, Ramaprasad & Hamori, Shigeyuki, 2007. "Co-movement in the price of risk of aggregate equity markets," Economic Systems, Elsevier, vol. 31(3), pages 256-271, September.
    5. Ramaprasad Bhar, 2010. "Stochastic Filtering with Applications in Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7736.
    6. Bhar, Ramaprasad & Nikolova, Biljana, 2013. "Measuring the interconnectedness of financial institutions," Economic Systems, Elsevier, vol. 37(1), pages 17-29.

  65. Gian-Italo Bischi & Carl Chiarella & Michael Kopel, 2004. "The Long Run Outcomes And Global Dynamics Of A Duopoly Game With Misspecified Demand Functions," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 343-379.

    Cited by:

    1. Torsten J. Gerpott & Jan Berends, 2022. "Competitive pricing on online markets: a literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 596-622, December.
    2. Angelo Antoci & Antonio Gay & Massimiliano Landi & Pier Luigi Sacco, 2007. "Global Analysis of an Expectations Augmented Evolutionary Dynamics," Working Papers 25-2007, Singapore Management University, School of Economics.
    3. Naimzada, Ahmad & Ricchiuti, Giorgio, 2011. "Monopoly with local knowledge of demand function," Economic Modelling, Elsevier, vol. 28(1-2), pages 299-307, January.
    4. Anufriev, Mikhail & Kopányi, Dávid, 2018. "Oligopoly game: Price makers meet price takers," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 84-103.
    5. Fabio Lamantia & Mario Pezzino, 2017. "Dynamic Analysis of Discontinuous Best Response with Innovation," Economics Discussion Paper Series 1708, Economics, The University of Manchester.
    6. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    7. Bischi, Gian Italo & Naimzada, Ahmad K. & Sbragia, Lucia, 2007. "Oligopoly games with Local Monopolistic Approximation," Journal of Economic Behavior & Organization, Elsevier, vol. 62(3), pages 371-388, March.
    8. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    9. Ruben van de Geer & Arnoud V. den Boer & Christopher Bayliss & Christine Currie & Andria Ellina & Malte Esders & Alwin Haensel & Xiao Lei & Kyle D. S. Maclean & Antonio Martinez-Sykora & Asbj{o}rn Nil, 2018. "Dynamic Pricing and Learning with Competition: Insights from the Dynamic Pricing Challenge at the 2017 INFORMS RM & Pricing Conference," Papers 1804.03219, arXiv.org.
    10. Junhai Ma & Lijian Sun & Xueli Zhan, 2017. "Study on Triopoly Dynamic Game Model Based on Different Demand Forecast Methods in the Market," Complexity, Hindawi, vol. 2017, pages 1-12, July.
    11. Ruben Geer & Arnoud V. Boer & Christopher Bayliss & Christine S. M. Currie & Andria Ellina & Malte Esders & Alwin Haensel & Xiao Lei & Kyle D. S. Maclean & Antonio Martinez-Sykora & Asbjørn Nilsen Ris, 2019. "Dynamic pricing and learning with competition: insights from the dynamic pricing challenge at the 2017 INFORMS RM & pricing conference," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(3), pages 185-203, June.

  66. Chiarella, Carl & Szidarovszky, Ferenc, 2004. "Dynamic oligopolies without full information and with continuously distributed time lags," Journal of Economic Behavior & Organization, Elsevier, vol. 54(4), pages 495-511, August.

    Cited by:

    1. Bondarev, Anton & Greiner, Alfred, 2017. "Catching-up and falling behind: Effects of learning in an R&D differential game with spillovers," Working papers 2017/02, Faculty of Business and Economics - University of Basel.
    2. Prietula, Michael J. & Watson, Harry S., 2008. "When behavior matters: Games and computation in A Behavioral Theory of the Firm," Journal of Economic Behavior & Organization, Elsevier, vol. 66(1), pages 74-94, April.
    3. Bischi, Gian Italo & Merlone, Ugo & Pruscini, Eros, 2018. "Evolutionary dynamics in club goods binary games," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 104-119.
    4. Richard Cornes & Luciana C. Fiorini & Wilfredo L. Maldonado, 2017. "Expectational Stability In Aggregative Games," Economics Discussion / Working Papers 17-06, The University of Western Australia, Department of Economics.
    5. Anufriev, Mikhail & Kopányi, Dávid, 2018. "Oligopoly game: Price makers meet price takers," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 84-103.
    6. Fabio Lamantia & Mario Pezzino, 2017. "Dynamic Analysis of Discontinuous Best Response with Innovation," Economics Discussion Paper Series 1708, Economics, The University of Manchester.
    7. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    8. Zhao, Jijun & Szilagyi, Miklos N. & Szidarovszky, Ferenc, 2008. "n-person Battle of sexes games—a simulation study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3678-3688.
    9. Karafyllis, Iasson & Jiang, Zhong-Ping & Athanasiou, George, 2010. "Nash Equilibrium and Robust Stability in Dynamic Games: A Small-Gain Perspective," MPRA Paper 26890, University Library of Munich, Germany, revised 23 Sep 2010.
    10. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.

  67. Chiarella, Carl & Gao, Shenhuai, 2004. "The value of the S&P 500--A macro view of the stock market adjustment process," Global Finance Journal, Elsevier, vol. 15(2), pages 171-196, August.

    Cited by:

    1. Rangan Gupta & Roula Inglesi-Lotz, 2012. "Macro Shocks and Real US Stock Prices with Special Focus on the "Great Recession"," Working Papers 201208, University of Pretoria, Department of Economics.
    2. Filis, George, 2010. "Macro economy, stock market and oil prices: Do meaningful relationships exist among their cyclical fluctuations?," Energy Economics, Elsevier, vol. 32(4), pages 877-886, July.
    3. Laura Cueppers & Dieter Smeets, 2015. "How Do Oil Price Changes Affect German Stock Returns?," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 321-334.
    4. Carl Chiarella & Shenhuai Gao, 2004. "Continuous Time Model Estimation," Working Paper Series 138, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. Nnaemeka Vincent Emodi & Kyung-Jin Boo, 2015. "Sustainable Energy Development in Nigeria: Overcoming Energy Poverty," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 580-597.

  68. Carl Chiarella & Mark Craddock & Nadima El-Hassan, 2003. "An Implementation of Bouchouev's Method for a Short Time Calibration of Option Pricing Models," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 113-138, October.

    Cited by:

    1. Carl Chiarella & Mark Craddock & Nadima El-Hassan, 2000. "The Calibration of Stock Option Pricing Models Using Inverse Problem Methodology," Research Paper Series 39, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Philippe Jacquinot & Nikolay Sukhomlin, 2010. "A direct formulation of implied volatility in the Black-Scholes model," Post-Print hal-02533014, HAL.

  69. Carl Chiarella & Mauro Gallegati & Roberto Leombruni & Antonio Palestrini, 2003. "Asset Price Dynamics among Heterogeneous Interacting Agents," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 213-223, October.
    See citations under working paper version above.
  70. Chiarella, Carl & He, Xue-Zhong, 2003. "Heterogeneous Beliefs, Risk, And Learning In A Simple Asset-Pricing Model With A Market Maker," Macroeconomic Dynamics, Cambridge University Press, vol. 7(4), pages 503-536, September.
    See citations under working paper version above.
  71. Carl Chiarella & Oh Kwon, 2003. "Finite Dimensional Affine Realisations of HJM Models in Terms of Forward Rates and Yields," Review of Derivatives Research, Springer, vol. 6(2), pages 129-155, May.

    Cited by:

    1. Recchioni, M.C. & Sun, Y., 2016. "An explicitly solvable Heston model with stochastic interest rate," European Journal of Operational Research, Elsevier, vol. 249(1), pages 359-377.
    2. Eckhard Platen & Stefan Tappe, 2011. "Affine Realizations for Levy Driven Interest Rate Models with Real-World Forward Rate Dynamics," Research Paper Series 289, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Recchioni, Maria Cristina & Tedeschi, Gabriele, 2017. "From bond yield to macroeconomic instability: A parsimonious affine model," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1116-1135.
    4. Li, Haitao & Ye, Xiaoxia & Yu, Fan, 2020. "Unifying Gaussian dynamic term structure models from a Heath–Jarrow–Morton perspective," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1153-1167.
    5. Chiarolla, Maria B. & De Angelis, Tiziano, 2015. "Analytical pricing of American Put options on a Zero Coupon Bond in the Heath–Jarrow–Morton model," Stochastic Processes and their Applications, Elsevier, vol. 125(2), pages 678-707.
    6. Damir Filipovi'c & Stefan Tappe, 2019. "Existence of L\'evy term structure models," Papers 1907.03561, arXiv.org.
    7. Carl Chiarella & Erik Schlögl & Christina Nikitopoulos-Sklibosios, 2004. "A Markovian Defaultable Term Structure Model with State Dependent Volatilities," Research Paper Series 135, Quantitative Finance Research Centre, University of Technology, Sydney.
    8. Baaquie, Belal E. & Pan, Tang, 2011. "Simulation of coupon bond European and barrier options in quantum finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(2), pages 263-289.
    9. Stefan Tappe, 2019. "An alternative approach on the existence of affine realizations for HJM term structure models," Papers 1907.03256, arXiv.org.
    10. Damir Filipović & Stefan Tappe, 2008. "Existence of Lévy term structure models," Finance and Stochastics, Springer, vol. 12(1), pages 83-115, January.
    11. Carl Chiarella & Christina Nikitopoulos-Sklibosios, 2004. "A Class of Jump-Diffusion Bond Pricing Models within the HJM Framework," Research Paper Series 132, Quantitative Finance Research Centre, University of Technology, Sydney.
    12. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2011. "Credit Derivative Pricing with Stochastic Volatility Models," Research Paper Series 293, Quantitative Finance Research Centre, University of Technology, Sydney.
    13. Andrea Roncoroni & Stefano Galluccio & Paolo Guiotto, 2010. "Shape factors and cross-sectional risk," Post-Print hal-00736733, HAL.
    14. Ram Bhar & Carl Chiarella & Thuy-Duong To, 2004. "Estimating the Volatility Structure of an Arbitrage-Free Interest Rate Model Via the Futures Markets," Finance 0409003, University Library of Munich, Germany.
    15. Eusebio Valero & Manuel Torrealba & Lucas Lacasa & Franc{c}ois Fraysse, 2011. "Fast resolution of a single factor Heath-Jarrow-Morton model with stochastic volatility," Papers 1108.1688, arXiv.org.
    16. Yassine El Qalli, 2010. "Recursive Bayesian Estimation In Forward Price Models Implied By Fair Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 301-333.
    17. Christina Nikitopoulos-Sklibosios, 2005. "A Class of Markovian Models for the Term Structure of Interest Rates Under Jump-Diffusions," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2005, January-A.
    18. Anders B. Trolle & Eduardo S. Schwartz, 2009. "A General Stochastic Volatility Model for the Pricing of Interest Rate Derivatives," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 2007-2057, May.
    19. Falini, Jury, 2010. "Pricing caps with HJM models: The benefits of humped volatility," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1358-1367, December.
    20. Benjamin Cheng & Christina Nikitopoulos-Sklibosios & Erik Schlogl, 2015. "Pricing of Long-dated Commodity Derivatives with Stochastic Volatility and Stochastic Interest Rates," Research Paper Series 366, Quantitative Finance Research Centre, University of Technology, Sydney.
    21. Stefan Tappe, 2019. "Existence of affine realizations for L\'evy term structure models," Papers 1907.02363, arXiv.org.
    22. Benjamin Tin Chun Cheng, 2017. "Pricing and Hedging of Long-Dated Commodity Derivatives," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2017, January-A.
    23. Carl Chiarella & Hing Hung & Thuy-Duong To, 2005. "The Volatility Structure of the Fixed Income Market under the HJM Framework: A Nonlinear Filtering Approach," Research Paper Series 151, Quantitative Finance Research Centre, University of Technology, Sydney.
    24. Maria B. Chiarolla & Tiziano De Angelis, 2012. "Analytical Pricing of American Bond Options in the Heath-Jarrow-Morton Model," Papers 1212.0781, arXiv.org, revised Mar 2014.
    25. Anders B. Trolle & Eduardo S. Schwartz, 2006. "A General Stochastic Volatility Model for the Pricing and Forecasting of Interest Rate Derivatives," NBER Working Papers 12337, National Bureau of Economic Research, Inc.
    26. Samuel Chege Maina, 2011. "Credit Risk Modelling in Markovian HJM Term Structure Class of Models with Stochastic Volatility," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2011, January-A.
    27. Jury Falini, 2009. "Pricing caps with HJM models: the benefits of humped volatility," Department of Economics University of Siena 563, Department of Economics, University of Siena.
    28. Carl Chiarella & Samuel Chege Maina & Christina Nikitopoulos-Sklibosios, 2010. "Markovian Defaultable HJM Term Structure Models with Unspanned Stochastic Volatility," Research Paper Series 283, Quantitative Finance Research Centre, University of Technology, Sydney.
    29. Carl Chiarella & Nadima El-Hassan, 1999. "Pricing American Interest Rate Options in a Heath-Jarrow-Morton Framework Using Method of Lines," Research Paper Series 12, Quantitative Finance Research Centre, University of Technology, Sydney.
    30. Carl Chiarella & Boda Kang & Christina Sklibosios Nikitopoulos & Thuy-Duong To, 2013. "The Return-Volatility Relation in Commodity Futures Markets," Research Paper Series 336, Quantitative Finance Research Centre, University of Technology, Sydney.
    31. Maria Cristina Recchioni & Gabriele Tedeschi, 2016. "From bond yield to macroeconomic instability: The effect of negative interest rates," Working Papers 2016/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    32. Cheng, Benjamin & Nikitopoulos, Christina Sklibosios & Schlögl, Erik, 2018. "Pricing of long-dated commodity derivatives: Do stochastic interest rates matter?," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 148-166.
    33. Ram Bhar & Carl Chiarella & Hing Hung & Wolfgang Runggaldier, 2004. "The Volatility of the Instantaneous Spot Interest Rate Implied by Arbitrage Pricing - A Dynamic Bayesian Approach," Finance 0409002, University Library of Munich, Germany.

  72. Carl Chiarella & Christina Sklibosios, 2003. "A Class of Jump-Diffusion Bond Pricing Models within the HJM Framework," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 10(2), pages 87-127, September.
    See citations under working paper version above.
  73. Carl Chiarella & Thuy‐Duong Tô, 2003. "The jump component of the volatility structure of interest rate futures markets: An international comparison," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(12), pages 1125-1158, December.
    See citations under working paper version above.
  74. Chiarella, Carl & Flaschel, Peter & Wells, Graeme, 2003. "The Dynamics Of Keynesian Monetary Growth," Macroeconomic Dynamics, Cambridge University Press, vol. 7(3), pages 473-475, June.

    Cited by:

    1. Donald A. R., George & Les, Oxley, 2013. "Rational Expectations Dynamics: A Methodological Critique," SIRE Discussion Papers 2013-45, Scottish Institute for Research in Economics (SIRE).
    2. Hiroki Murakami, 2019. "A note on the “unique” business cycle in the Keynesian theory," Metroeconomica, Wiley Blackwell, vol. 70(3), pages 384-404, July.
    3. Peter Flaschel & Giorgos Galanis & Daniele Tavani & Roberto Veneziani, 2021. "Pandemics and aggregate demand: A framework for policy analysis," CAMA Working Papers 2021-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Ogawa, Shogo, 2020. "Monetary Growth with Disequilibrium: a Non-Walrasian baseline model," MPRA Paper 101236, University Library of Munich, Germany.
    5. Christian R. Proaño, 2011. "Gradual wage-price adjustments, labor market frictions and monetary policy rules," Working Papers 1112, New School for Social Research, Department of Economics.
    6. Cordina Rada & Daniele Tavani & Rudiger von Arnim & Luca Zamparelli, 2022. "Classical and Keynesian models of inequality and stagnation," FMM Working Paper 83-2022, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    7. K. Vela Velupillai, 2004. "A Disequilibrium Macrodynamic Model of Fluctuations," Working Papers 0081, National University of Ireland Galway, Department of Economics, revised 2004.
    8. Matthieu Charpe & Carl Chiarella & Peter Flaschel & Christian R. Proaño, 2014. "Business Confidence and Macroeconomic Dynamics in a Nonlinear Two-Country Framework with Aggregate Opinion Dynamics," Working Papers 1401, New School for Social Research, Department of Economics.
    9. K. Vela Velupillai, 2012. ""Dear Professor Mankiw..."- Reflections on Four Decades of Learning and Teaching Macroeconomics," ASSRU Discussion Papers 1206, ASSRU - Algorithmic Social Science Research Unit.
    10. Toichiro Asada & Peter Flaschel & Peter Skott, 2005. "Prosperity and Stagnation in Capitalist Economies," UMASS Amherst Economics Working Papers 2005-12, University of Massachusetts Amherst, Department of Economics.
    11. Carl Chiarella & Peter Flaschel & Hing Hung, 2006. "Interacting Business Cycle Fluctuations: A Two-Country Model," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 51(03), pages 365-394.
    12. Charpe, Matthieu, 2009. "Dette des ménages et instabilité financière," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 5.
    13. Tianhao Zhi, 2016. "The Theory and Models of Keynesian Disequilibrium Macroeconomics," Working Paper Series 185, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    14. Orlando Gomes & J. C. Sprott, 2017. "Sentiment-driven limit cycles and chaos," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 729-760, September.
    15. Robert W. Dimand, 2014. "James Tobin and Modern Monetary Theory," Center for the History of Political Economy Working Paper Series 2014-5, Center for the History of Political Economy.
    16. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2002. "Stability Analysis of a High-Dimensional Macrodynamic Model of Real-Financial Interaction: A Cascade of Matrices Approach," Working Paper Series 123, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    17. Carl Chiarella & Peter Flaschel & Willi Semmler, 2001. "Real-Financial Interaction: A Reconsideration of the Blanchard Model with a State-of-Market Dependent Reaction Coefficient," Working Paper Series 111, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    18. Peter Flaschel & Matthieu Charpe & Giorgos Galanis & Christian R. Proaño & Roberto Veneziani, 2017. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," IMK Working Paper 186-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    19. Jose Barrales-Ruiz, Ivan Mendieta-Muñoz, Codrina Rada, Daniele Tavani, Rudiger von Arnim, 2021. "The distributive cycle: Evidence and current debates," Working Paper Series, Department of Economics, University of Utah 2021-01, University of Utah, Department of Economics.
    20. wei-bin zhang, 2017. "Business Cycles with Progressive Income Taxation," International Journal of Business and Management, International Institute of Social and Economic Sciences, vol. 5(2), pages 78-95, November.
    21. Zhang, Wei-Bin, 2019. "Global Business Cycles in a Neoclassical Growth Model with Spirits of Capitalism," Bulletin of Economic Theory and Analysis, BETA Journals, vol. 4(1), pages 13-33, June.
    22. Amitava Krishna Dutt & Peter Skott, 2006. "Keynesian Theory and the AD-AS Framework: A Reconsideration," Contributions to Economic Analysis, in: Quantitative and Empirical Analysis of Nonlinear Dynamic Macromodels, pages 149-172, Emerald Group Publishing Limited.
    23. Wei-bin ZHANG, 2020. "Business Cycles in a Dynamic General Equilibrium Model with Monopolistic and Perfect Competition," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 4(1), pages 11-33, August.
    24. Hiroki Murakami, 2022. "Keynesian and classical theories: static and dynamic perspectives," Evolutionary and Institutional Economics Review, Springer, vol. 19(1), pages 343-367, April.
    25. Matthieu Charpe & Peter Flaschel & Florian Hartmann & Roberto Veneziani, 2012. "Towards Keynesian DSGD (isequilibrium) Modelling: Real-Financial Market Interactions with Heterogeneous Expectations Dynamics," IMK Working Paper 93-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    26. Schoder, Christian, 2020. "A Keynesian Dynamic Stochastic Disequilibrium model for business cycle analysis," Economic Modelling, Elsevier, vol. 86(C), pages 117-132.
    27. Christian Schoder, 2017. "An estimated Dynamic Stochastic Disequilibrium model of Euro-Area unemployment," Working Papers 1725, New School for Social Research, Department of Economics.
    28. Móczár, József, 2006. "Arrow-Debreu-modell és a Kornai-kritika harminc év után [The Arrow-Debreu Model and Kornai s critique, thirty years after]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 175-194.
    29. Pierre Jacques & Louis Delannoy & Baptiste Andrieu & Devrim Yilmaz & Hervé Jeanmart & Antoine Godin, 2023. "Assessing the economic consequences of an energy transition through a biophysical stock-flow consistent model," Post-Print hal-04087628, HAL.
    30. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "The Structure of Keynesian Macrodynamics: A Framework for Future Research," Working Paper Series 129, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    31. Toichiro Asada & Pu Chen & Carl Chiarella & Peter Flaschel, 2004. "Keynesian Dynamics and the Wage Price Spiral. A Baseline Disequilibrium Approach," Macroeconomics 0409001, University Library of Munich, Germany.
    32. Peter Flaschel & Florian Hartmann & Chris Malikane & Christian R. Proaño, 2014. "A Behavioral Macroeconomic Model of Exchange Rate Fluctuations with Complex Market Expectations Formation," IEER Working Papers 98, Institute of Empirical Economic Research, Osnabrueck University, revised 29 Jan 2014.
    33. Hallegatte, Stephane & Ghil, Michael, 2007. "Endogenous Business Cycles and the Economic Response to Exogenous Shocks," Economic Theory and Applications Working Papers 10275, Fondazione Eni Enrico Mattei (FEEM).
    34. Asada, Toichiro & Chiarella, Carl & Flaschel, Peter & Mouakil, Tarik & Proaño, Christian R., 2010. "Stabilizing an unstable economy: On the choice of proper policy measures," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-43.
    35. Peter Skott & Peter Flaschel, 2004. "Steindlian Models of Growth and Stagnation," UMASS Amherst Economics Working Papers 2004-11, University of Massachusetts Amherst, Department of Economics.
    36. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VII Intensive Form and Steady State Calculation in the Case of Substitution," Working Paper Series 99, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    37. Christian Proaño, 2009. "(De-)Stabilizing two-country macroeconomic interactions in an estimated model of the U.S. and the Euro Area," International Economics and Economic Policy, Springer, vol. 6(4), pages 421-443, December.
    38. Di Guilmi, Corrado & Galanis, Giorgos & Proaño, Christian R., 2023. "A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 50-67.
    39. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    40. Chiarella Carl & Semmler Willi & Mittnik Stefan & Zhu Peiyuan, 2002. "Stock Market, Interest Rate and Output: A Model and Estimation for US Time Series Data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(1), pages 1-39, April.
    41. Peter Flaschel & Reiner Franke & Willi Semmler, 2021. "Kaleckian Investment and Employment Cycles in Postwar Industrialized Economies," Working Papers 2103, New School for Social Research, Department of Economics.
    42. Baogui Xin & Tong Chen & Junhai Ma, 2010. "Neimark-Sacker Bifurcation in a Discrete-Time Financial System," Discrete Dynamics in Nature and Society, Hindawi, vol. 2010, pages 1-12, September.
    43. Carl Chiarella & Peter Flaschel & Gang Gong & Willi Semmler, 2002. "Nonlinear Phillips Curves, Complex Dynamics and Monetary Policy in a Keynesian Macro Model," Working Paper Series 120, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    44. Asada, Toichiro & Chen, Pu & Chiarella, Carl & Flaschel, Peter, 2006. "Keynesian dynamics and the wage-price spiral: A baseline disequilibrium model," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 90-130, March.
    45. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2001. "Real-Financial Interaction: Integrating Supply Side Wage-Price Dynamics and the Stock Market," Working Paper Series 112, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    46. Gang Gong, 2005. "Modeling Stabilization Policies In A Financially Unstable Economy," Metroeconomica, Wiley Blackwell, vol. 56(3), pages 281-304, July.
    47. Toichiro Asada, 2007. "Significance of the Keynesian Legacy from a Theoretical Viewpoint: A High-Dimensional Macrodynamic Approach," Springer Books, in: Toichiro Asada & Toshiharu Ishikawa (ed.), Time and Space in Economics, chapter 5, pages 81-96, Springer.
    48. Skott, Peter, 2023. "Endogenous business cycles and economic policy," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 61-82.
    49. Orlando Gomes, 2010. "Endogenous Growth, Price Stability And Market Disequilibria," Metroeconomica, Wiley Blackwell, vol. 61(1), pages 3-34, February.
    50. Murakami, Hiroki & Asada, Toichiro, 2018. "Inflation-deflation expectations and economic stability in a Kaleckian system," Journal of Economic Dynamics and Control, Elsevier, vol. 92(C), pages 183-201.
    51. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    52. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "Towards Applied Disequilibrium Growth Theory: IV Numerical Investigations of the Core 18D Model," Working Paper Series 96, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    53. Schubert, Stefan F. & Turnovsky, Stephen J., 2018. "Growth and unemployment: Short-run and long-run tradeoffs," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 172-189.
    54. Chen Pu & Flaschel Peter, 2006. "Measuring the Interaction of Wage and Price Phillips Curves for the U.S. Economy," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-35, December.
    55. Piero Ferri, 2011. "Macroeconomics of Growth Cycles and Financial Instability," Books, Edward Elgar Publishing, number 14260, March.
    56. Christian R. Proano, 2009. "Heterogenous Behavioral Expectations, FX Fluctuations and Dynamic Stability in a Stylized Two-Country Macroeconomic Model," IMK Working Paper 03-2009, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    57. Carl Chiarella & Peter Flaschel & Willi Semmler, 2000. "Price Flexibility and Debt Dynamics in a High Order AS-AD Model," Working Paper Series 109, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    58. Andreas Groth & Patrice Dumas & Michael Ghil & Stéphane Hallegatte, 2015. "Impacts of Natural Disasters on a Dynamic Economy," Post-Print hal-01678074, HAL.
    59. Giorgos Galanis & Ashok Kumar, 2021. "A dynamic model of global value network governance," Environment and Planning A, , vol. 53(1), pages 53-72, February.
    60. Amit Bhaduri, 2011. "A contribution to the theory of financial fragility and crisis," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(6), pages 995-1014.
    61. Göran Kauermann, 2006. "Nonparametric models and their estimation," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 137-152, March.
    62. Sordi, Serena & Vercelli, Alessandro, 2014. "Unemployment, income distribution and debt-financed investment in a growth cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 325-348.
    63. Stéphane Hallegatte & Michael Ghil, 2008. "Natural disasters impacting a macroeconomic model with endogenous dynamics," Post-Print hal-00716677, HAL.
    64. Murakami, Hiroki, 2020. "Monetary policy in the unique growth cycle of post Keynesian systems," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 39-49.
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    99. Toichiro Asada, 2006. "Inflation Targeting Policy in a Dynamic Keynesian Model with Debt Accumulation: A Japanese Perspective," Contributions to Economic Analysis, in: Quantitative and Empirical Analysis of Nonlinear Dynamic Macromodels, pages 517-544, Emerald Group Publishing Limited.
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    1. Stefan Reitz & Frank Westerhoff, 2007. "Commodity price cycles and heterogeneous speculators: a STAR–GARCH model," Empirical Economics, Springer, vol. 33(2), pages 231-244, September.
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    3. Ahmed El OUBANI & Mostafa LEKHAL, 2022. "Conception d’un modèle microscopique adapté aux marchés financiers émergents," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 13(1), pages 17-30, June.
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    5. Biondo, Alessio Emanuele & Mazzarino, Laura & Pluchino, Alessandro, 2024. "Trading strategies and Financial Performances: A simulation approach," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    6. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2013. "Limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1709-1742, November.
    7. Eric Smith & J. Doyne Farmer & Laszlo Gillemot & Supriya Krishnamurthy, 2002. "Statistical theory of the continuous double auction," Papers cond-mat/0210475, arXiv.org.
    8. Andrea Coletta & Aymeric Moulin & Svitlana Vyetrenko & Tucker Balch, 2022. "Learning to simulate realistic limit order book markets from data as a World Agent," Papers 2210.09897, arXiv.org.
    9. Efstathios Panayi & Gareth Peters, 2015. "Stochastic simulation framework for the Limit Order Book using liquidity motivated agents," Papers 1501.02447, arXiv.org, revised Jan 2015.
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    36. Carl Chiarella & Roberto Dieci & Laura Gardini, 2005. "The Dynamic Interaction of Speculation and Diversification," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(1), pages 17-52.
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    40. Andrey Shternshis & Stefano Marmi, 2023. "Price predictability at ultra-high frequency: Entropy-based randomness test," Papers 2312.16637, arXiv.org, revised May 2024.
    41. J. Doyne Farmer & John Geanakoplos, 2008. "The Virtues and Vices of Equilibrium and the Future of Financial Economics," Cowles Foundation Discussion Papers 1647, Cowles Foundation for Research in Economics, Yale University.
    42. Roberto Mota Navarro & Hern'an Larralde Ridaura, 2016. "A detailed heterogeneous agent model for a single asset financial market with trading via an order book," Papers 1601.00229, arXiv.org, revised Jul 2016.
    43. Scalas, Enrico & Kaizoji, Taisei & Kirchler, Michael & Huber, Jürgen & Tedeschi, Alessandra, 2006. "Waiting times between orders and trades in double-auction markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 463-471.
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    45. Mark Paddrik & Roy Hayes & William Scherer & Peter Beling, 2014. "Effects of Limit Order Book Information Level on Market Stability Metrics," Working Papers 14-09, Office of Financial Research, US Department of the Treasury.
    46. Chiarella, Carl & Ladley, Daniel, 2016. "Chasing trends at the micro-level: The effect of technical trading on order book dynamics," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 119-131.
    47. Alberto Ciacci & Takumi Sueshige & Hideki Takayasu & Kim Christensen & Misako Takayasu, 2020. "The microscopic relationships between triangular arbitrage and cross-currency correlations in a simple agent based model of foreign exchange markets," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-19, June.
    48. Miller, Ross M., 2008. "Don't let your robots grow up to be traders: Artificial intelligence, human intelligence, and asset-market bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 68(1), pages 153-166, October.
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    50. Mikhail Anufriev & Giulio Bottazzi & Francesca Pancotto, 2004. "Price and Wealth Asymptotic Dynamics with CRRA Technical Trading Strategies," LEM Papers Series 2004/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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    70. Alexandru Mandes & Peter Winker, 2015. "Complexity and Model Comparison in Agent Based Modeling of Financial Markets," MAGKS Papers on Economics 201528, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    71. Georges, Christophre, 2008. "Staggered updating in an artificial financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2809-2825, September.
    72. Yuri Biondi & Simone Righi, 2015. "Much ado about making money:The impact of disclosure, news and rumors over the formation of security market prices over time," Department of Economics 0075, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    73. Masanori Hirano & Kiyoshi Izumi & Takashi Shimada & Hiroyasu Matsushima & Hiroki Sakaji, 2020. "Impact Analysis of Financial Regulation on Multi-Asset Markets Using Artificial Market Simulations," JRFM, MDPI, vol. 13(4), pages 1-20, April.
    74. Alexandru Mandes, 2020. "Impact of Electronic Liquidity Providers Within a High-Frequency Agent-Based Modeling Framework," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 407-450, February.
    75. Robin Nicole & Peter Sollich, 2017. "Dynamical selection of Nash equilibria using Experience Weighted Attraction Learning: emergence of heterogeneous mixed equilibria," Papers 1706.09763, arXiv.org.
    76. Buis, Boyd & Pieterse-Bloem, Mary & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2024. "Gamma positioning and market quality," Journal of Economic Dynamics and Control, Elsevier, vol. 164(C).
    77. Blake LeBaron & Ryuichi Yamamoto, 2008. "The Impact of Imitation on Long Memory in an Order-Driven Market," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 504-517.
    78. Songtao Wu & Jianmin He & Chao Wang, 2017. "Effects of Common Factors on Dynamics of Stocks Traded by Investors with Limited Information Capacity," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-15, September.
    79. Michiel Leur & Mikhail Anufriev, 2018. "Timing under individual evolutionary learning in a continuous double auction," Journal of Evolutionary Economics, Springer, vol. 28(3), pages 609-631, August.
    80. Schmitt, Noemi & Westerhoff, Frank, 2016. "Herding behavior and volatility clustering in financial markets," BERG Working Paper Series 107, Bamberg University, Bamberg Economic Research Group.
    81. Takanobu Mizuta & Shintaro Kosugi & Takuya Kusumoto & Wataru Matsumoto & Kiyoshi Izumi & Isao Yagi & Shinobu Yoshimura, 2016. "Effects of Price Regulations and Dark Pools on Financial Market Stability: An Investigation by Multiagent Simulations," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 97-120, January.
    82. Wladimir Ostrovsky, 2023. "Dealer Strategies in Agent-Based Models," Papers 2312.05943, arXiv.org.
    83. He, Xue-Zhong & Lin, Shen, 2022. "Reinforcement Learning Equilibrium in Limit Order Markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    84. Paulin, James & Calinescu, Anisoara & Wooldridge, Michael, 2019. "Understanding flash crash contagion and systemic risk: A micro–macro agent-based approach," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 200-229.
    85. Breckenfelder, Johannes, 2024. "Competition among high-frequency traders and market quality," Journal of Economic Dynamics and Control, Elsevier, vol. 166(C).
    86. Iris Lucas & Michel Cotsaftis & Cyrille Bertelle, 2018. "Self-Organization, Resilience and Robustness of Complex Systems Through an Application to Financial Market from an Agent-Based Approach," Post-Print hal-02114928, HAL.
    87. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.
    88. Platt, Donovan & Gebbie, Tim, 2018. "Can agent-based models probe market microstructure?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1092-1106.
    89. Kyubin Yim & Gabjin Oh & Seunghwan Kim, 2015. "Understanding Financial Market States Using Artificial Double Auction Market," Papers 1503.00913, arXiv.org.
    90. Kei Nakagawa & Masanori Hirano & Kentaro Minami & Takanobu Mizuta, 2024. "A Multi-agent Market Model Can Explain the Impact of AI Traders in Financial Markets -- A New Microfoundations of GARCH model," Papers 2409.12516, arXiv.org.
    91. Yuri Biondi & Simone Righi, 2020. "Much ado about making money: the impact of disclosure, news and rumors on the formation of security market prices over time," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(2), pages 333-362, April.
    92. Szabolcs Mike & J. Doyne Farmer, 2005. "An empirical behavioral model of price formation," Papers physics/0509194, arXiv.org, revised Oct 2005.
    93. Xiaotao Zhang & Jing Ping & Tao Zhu & Yuelei Li & Xiong Xiong, 2016. "Are Price Limits Effective? An Examination of an Artificial Stock Market," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-21, August.
    94. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    95. Roberto Mota Navarro & Hernán Larralde, 2017. "A detailed heterogeneous agent model for a single asset financial market with trading via an order book," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-27, February.
    96. Yu-Hao Huang & Chang Xu & Yang Liu & Weiqing Liu & Wu-Jun Li & Jiang Bian, 2024. "Controllable Financial Market Generation with Diffusion Guided Meta Agent," Papers 2408.12991, arXiv.org, revised Sep 2024.
    97. Gsell, Markus, 2008. "Assessing the impact of algorithmic trading on markets: A simulation approach," CFS Working Paper Series 2008/49, Center for Financial Studies (CFS).
    98. Lenhard, Gregor, 2024. "Learning from the Past: The Role of Personal Experiences in Artificial Stock Markets," Working papers 2024/01, Faculty of Business and Economics - University of Basel.
    99. Luis Goncalves de Faria, 2022. "An Agent-Based Model With Realistic Financial Time Series: A Method for Agent-Based Models Validation," Papers 2206.09772, arXiv.org.
    100. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frédéric Abergel, 2011. "Econophysics review: II. Agent-based models," Post-Print hal-00621059, HAL.
    101. Alfarano, Simone & Lux, Thomas & Wagner, Friedrich, 2008. "Time variation of higher moments in a financial market with heterogeneous agents: An analytical approach," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 101-136, January.
    102. Carl Chiarella & Xue-Zhong He & Paolo Pellizzari, 2009. "A Dynamic Analysis of the Microstructure of Moving Average Rules in a Double Auction Market," Research Paper Series 251, Quantitative Finance Research Centre, University of Technology, Sydney.
    103. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
    104. Takanobu Mizuta & Isao Yagi, 2023. "Comparing effects of price limit and circuit breaker in stock exchanges by an agent-based model," Papers 2309.10220, arXiv.org.
    105. Yu, Song-min & Fan, Ying & Zhu, Lei & Eichhammer, Wolfgang, 2020. "Modeling the emission trading scheme from an agent-based perspective: System dynamics emerging from firms’ coordination among abatement options," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1113-1128.
    106. Sylvain Mignot & Gabriele Tedeschi & Annick Vignes, 2012. "An Agent Based Model of Switching: The Case of Boulogne S/mer Fish Market," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-3.
    107. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    108. Isao Yagi & Yuji Masuda & Takanobu Mizuta, 2020. "Analysis of the Impact of High-Frequency Trading on Artificial Market Liquidity," Papers 2010.13038, arXiv.org.
    109. Hugh Luckock, 2003. "A steady-state model of the continuous double auction," Quantitative Finance, Taylor & Francis Journals, vol. 3(5), pages 385-404.
    110. Yeh, Chia-Hsuan & Yang, Chun-Yi, 2010. "Examining the effectiveness of price limits in an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 2089-2108, October.
    111. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
    112. Jean-Philippe Bouchaud & J. Doyne Farmer & Fabrizio Lillo, 2008. "How markets slowly digest changes in supply and demand," Papers 0809.0822, arXiv.org.
    113. Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022. "Heterogeneous speculators and stock market dynamics: a simple agent-based computational model," The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
    114. Ramshreyas Rao, 2025. "Agent-Based Simulation of a Perpetual Futures Market," Papers 2501.09404, arXiv.org.
    115. G. Tedeschi & G. Iori & M. Gallegati, 2009. "The role of communication and imitation in limit order markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 489-497, October.
    116. Recchioni, Maria Cristina & Tedeschi, Gabriele & Berardi, Simone, 2014. "Bank's strategies during the financial crisis," FinMaP-Working Papers 25, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    117. Kyubin Yim & Gabjin Oh & Seunghwan Kim, 2016. "Understanding Financial Market States Using an Artificial Double Auction Market," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-15, March.
    118. Iwao Maeda & David deGraw & Michiharu Kitano & Hiroyasu Matsushima & Hiroki Sakaji & Kiyoshi Izumi & Atsuo Kato, 2020. "Deep Reinforcement Learning in Agent Based Financial Market Simulation," JRFM, MDPI, vol. 13(4), pages 1-17, April.
    119. Iris Lucas & Michel Cotsaftis & Cyrille Bertelle, 2017. "Heterogeneity and Self-Organization of Complex Systems Through an Application to Financial Market with Multiagent Systems," Post-Print hal-02114933, HAL.
    120. Xinyue Dong & Honggang Li, 2019. "The Effect of Extremely Small Price Limits: Evidence from the Early Period of the Chinese Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(7), pages 1516-1530, May.
    121. R. Yamamoto & B. LeBaron, 2010. "Order-splitting and long-memory in an order-driven market," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 73(1), pages 51-57, January.
    122. Gil Bazo, Javier & Moreno Muñoz, Jesús David, 2005. "Price dynamics, informational efficiency and wealth distribution in continuous double auction markets," DEE - Working Papers. Business Economics. WB wb057819, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    123. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.
    124. Georges, Christophre & Wallace, John C., 2009. "Learning Dynamics And Nonlinear Misspecification In An Artificial Financial Market," Macroeconomic Dynamics, Cambridge University Press, vol. 13(5), pages 625-655, November.
    125. Steve Phelps & Wing Lon Ng, 2014. "A Simulation Analysis Of Herding And Unifractal Scaling Behaviour," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(1), pages 39-58, January.
    126. Alexandru Mandes, 2015. "Impact of inventory-based electronic liquidity providers within a high-frequency event- and agent-based modeling framework," MAGKS Papers on Economics 201515, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    127. Miyuki Matsumoto & Ryuji Hashimoto & Masahiro Suzuki & Yuri Murayama & Kiyoshi Izumi, 2025. "Impact of information disparity between individual investors on profits of meme stocks using an artificial market simulation approach," Journal of Computational Social Science, Springer, vol. 8(1), pages 1-29, February.
    128. Serena Brianzoni & Giovanni Campisi & Graziella Pacelli, 2023. "Coexisting Attractors in a Heterogeneous Agent Model in Discrete Time," Mathematics, MDPI, vol. 11(10), pages 1-12, May.
    129. Andrea Consiglio & Valerio Lacagnina & Annalisa Russino, 2005. "A simulation analysis of the microstructure of an order driven financial market with multiple securities and portfolio choices," Quantitative Finance, Taylor & Francis Journals, vol. 5(1), pages 71-87.

  77. Chiarella, Carl & Dieci, Roberto & Gardini, Laura, 2002. "Speculative behaviour and complex asset price dynamics: a global analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 173-197, October.
    See citations under working paper version above.
  78. Chiarella, Carl & He, Xue-Zhong, 2002. "Heterogeneous Beliefs, Risk and Learning in a Simple Asset Pricing Model," Computational Economics, Springer;Society for Computational Economics, vol. 19(1), pages 95-132, February.
    See citations under working paper version above.
  79. Chiarella Carl & Semmler Willi & Mittnik Stefan & Zhu Peiyuan, 2002. "Stock Market, Interest Rate and Output: A Model and Estimation for US Time Series Data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(1), pages 1-39, April.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Willi Semmler, 2001. "Real-Financial Interaction: A Reconsideration of the Blanchard Model with a State-of-Market Dependent Reaction Coefficient," Working Paper Series 111, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Lambert, Dayton M. & Lowenberg-DeBoer, James & Malzer, Gary L., 2004. "A Systems Approach For Evaluating On-Farm Site-Specific Management Trials: A Case Study With Variable Rate Manure And Crop Quality Response To Inputs," 2004 Annual meeting, August 1-4, Denver, CO 20091, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2000. "Output, Financial Markets and Growth," Working Paper Series 108, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2006. "A dynamic general disequilibrium model of a sequential monetary production economy," Chaos, Solitons & Fractals, Elsevier, vol. 29(3), pages 566-577.
    5. F. Cavalli & A. Naimzada & N. Pecora, 2022. "A stylized macro-model with interacting real, monetary and stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 225-257, January.
    6. Willi Semmler, 2006. "Asset Prices, Booms and Recessions," Springer Books, Springer, edition 0, number 978-3-540-24696-1, March.
    7. Harper, David C. & Lambert, Dayton M. & Larson, James A. & Gwathmey, C. Owen, 2012. "Potassium carryover dynamics and optimal application policies in cotton production," Agricultural Systems, Elsevier, vol. 106(1), pages 84-93.
    8. Angelos Kanas & Christos Ioannidis, 2010. "Causality from real stock returns to real activity: evidence of regime-dependence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(2), pages 180-197.
    9. Peter Woehrmann, "undated". "A dynamic model of the financial�real interaction as a model selection criterion for nonparametric stock market prediction," IEW - Working Papers 226, Institute for Empirical Research in Economics - University of Zurich.

  80. Carl Chiarella & Oh Kang Kwon, 2001. "Forward rate dependent Markovian transformations of the Heath-Jarrow-Morton term structure model," Finance and Stochastics, Springer, vol. 5(2), pages 237-257.
    See citations under working paper version above.
  81. C. Chiarella & X-Z. He, 2001. "Asset price and wealth dynamics under heterogeneous expectations," Quantitative Finance, Taylor & Francis Journals, vol. 1(5), pages 509-526.
    See citations under working paper version above.
  82. Carl Chairella & Roberto Dieci & Laura Gardini, 2001. "Asset price dynamics in a financial market with fundamentalists and chartists," Discrete Dynamics in Nature and Society, Hindawi, vol. 6, pages 1-31, January.

    Cited by:

    1. Frank H. Westerhoff, 2005. "Heterogeneous traders, price-volume signals, and complex asset price dynamics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2005, pages 1-11, January.

  83. Chiarella, Carl & Flaschel, Peter, 2000. "High order disequilibrium growth dynamics: Theoretical aspects and numerical features," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 935-963, June.

    Cited by:

    1. Anderson, Heather M. & Ramsey, James B., 2002. "U.S. and Canadian industrial production indices as coupled oscillators," Journal of Economic Dynamics and Control, Elsevier, vol. 26(1), pages 33-67, January.
    2. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VII Intensive Form and Steady State Calculation in the Case of Substitution," Working Paper Series 99, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel, 1999. "Towards Applied Disequilibrium Growth Theory: I The Starting Model," Working Paper Series 93, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Malikane, Christopher, 2012. "The Microfoundations of the Keynesian Wage-Price Spiral," MPRA Paper 42923, University Library of Munich, Germany, revised 2012.
    5. Carl Chiarella & Peter Flaschel & Gangolf Groh & Carsten Köper & Willi Semmler, 1999. "Towards Applied Disequilibrium Growth Theory: VI Substitution, Money-Holdings, Wealth-Effects and Further Extensions," Working Paper Series 98, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Ogawa, Shogo & Sasaki, Hiroaki, 2020. "Numerical Analysis of the Disequilibrium Monetary Growth Model: Secular Stagnation, Slow Convergence, and Cyclical Fluctuations," MPRA Paper 103845, University Library of Munich, Germany.

  84. Ramaprasad Bhar & Carl Chiarella, 2000. "Expectations of monetary policy in Australia implied by the probability distribution of interest rate derivatives," The European Journal of Finance, Taylor & Francis Journals, vol. 6(2), pages 113-125.

    Cited by:

    1. Vähämaa, Sami, 2004. "Option-implied asymmetries in bond market expectations around monetary policy actions of the ECB," Working Paper Series 315, European Central Bank.
    2. Roberto Casarin & Fabrizio Leisen & German Molina & Enrique Ter Horst, 2014. "A Bayesian Beta Markov Random Field calibration of the term structure of implied risk neutral densities," Working Papers 2014:22, Department of Economics, University of Venice "Ca' Foscari".
    3. Halil Ibrahim Aydin & Ahmet Degerli & Pinar Ozlu, 2010. "Recovering Risk-Neutral Densities from Exchange Rate Options: Evidence in Turkey (Kur Opsiyonlarindan Riske Duyarsiz Yogunluk Fonksiyonu Cikarimi: Turkiye Ornegi)," Working Papers 1003, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    4. Marins, Jaqueline Terra Moura & Vicente, José Valentim Machado, 2017. "Do the central bank actions reduce interest rate volatility?," Economic Modelling, Elsevier, vol. 65(C), pages 129-137.
    5. Jukka Sihvonen & Sami Vähämaa, 2014. "Forward‐Looking Monetary Policy Rules and Option‐Implied Interest Rate Expectations," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(4), pages 346-373, April.
    6. Schmitz, Jochen & Ledebur, Oliver von, 2012. "The 2007 emerging corn price surge revisited – Was it expected or a large surprise?," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 123971, International Association of Agricultural Economists.

  85. C. Chiarella & P. Flaschel, 1999. "Keynesian monetary growth dynamicsin open economies," Annals of Operations Research, Springer, vol. 89(0), pages 35-59, January.

    Cited by:

    1. Flaschel, Peter & Greiner, Alfred, 2012. "Flexicurity Capitalism: Foundations, Problems, and Perspectives," OUP Catalogue, Oxford University Press, number 9780199751587.

  86. Chiarella, Carl & El-Hassan, Nadima & Kucera, Adam, 1999. "Evaluation of American option prices in a path integral framework using Fourier-Hermite series expansions," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1387-1424, September.

    Cited by:

    1. Zura Kakushadze, 2014. "Path Integral and Asset Pricing," Papers 1410.1611, arXiv.org, revised Aug 2016.
    2. Marco Rosa-Clot & Stefano Taddei, 2002. "A Path Integral Approach To Derivative Security Pricing Ii: Numerical Methods," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 123-146.
    3. Adam W. Kolkiewicz & Fangyuan Sally Lin, 2017. "Pricing Surrender Risk in Ratchet Equity-Index Annuities under Regime-Switching Lévy Processes," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(3), pages 433-457, July.
    4. Andrew Matacz, 2000. "Path dependent option pricing: the path integral partial averaging method," Science & Finance (CFM) working paper archive 500034, Science & Finance, Capital Fund Management.
    5. Simon Scheidegger & Adrien Treccani, 2021. "Pricing American Options under High-Dimensional Models with Recursive Adaptive Sparse Expectations [Telling from Discrete Data Whether the Underlying Continuous-Time Model Is a Diffusion]," Journal of Financial Econometrics, Oxford University Press, vol. 19(2), pages 258-290.
    6. Decamps, Marc & De Schepper, Ann & Goovaerts, Marc, 2006. "A path integral approach to asset-liability management," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 404-416.
    7. Javier de Frutos & Victor Gaton, 2016. "A spectral method for an Optimal Investment problem with Transaction Costs under Potential Utility," Papers 1612.09469, arXiv.org.
    8. Jun Cheng & Jin Zhang, 2012. "Analytical pricing of American options," Review of Derivatives Research, Springer, vol. 15(2), pages 157-192, July.
    9. Antonio Cosma & Stefano Galluccio & Paola Pederzoli & Olivier Scaillet, 2016. "Early exercise decision in American options with dividends, stochastic volatility and jumps," Papers 1612.03031, arXiv.org.
    10. Alfredo Ibáñez, 2003. "Robust Pricing of the American Put Option: A Note on Richardson Extrapolation and the Early Exercise Premium," Management Science, INFORMS, vol. 49(9), pages 1210-1228, September.
    11. Nessim Souissi, 2017. "The Implied Risk Neutral Density Dynamics: Evidence from the S&P TSX 60 Index," Journal of Applied Mathematics, Hindawi, vol. 2017, pages 1-10, June.
    12. Antonio Cosma & Stefano Galluccio & Paola Pederzoli & Olivier Scaillet, 2015. "Valuing American options using fast recursive projections," DEM Discussion Paper Series 15-20, Department of Economics at the University of Luxembourg.
    13. Andrew Matacz, 2000. "Path Dependent Option Pricing: the path integral partial averaging method," Papers cond-mat/0005319, arXiv.org.
    14. Carl Chiarella & Andrew Ziogas, 2005. "Pricing American Options on Jump-Diffusion Processes using Fourier Hermite Series Expansions," Research Paper Series 145, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Tebaldi, Claudio, 2005. "Hedging using simulation: a least squares approach," Journal of Economic Dynamics and Control, Elsevier, vol. 29(8), pages 1287-1312, August.
    16. Arturo Leccadito & Pietro Toscano & Radu S. Tunaru, 2012. "Hermite Binomial Trees: A Novel Technique For Derivatives Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(08), pages 1-36.
    17. Carl Chiarella & Jonathan Ziveyi, 2011. "Two Stochastic Volatility Processes - American Option Pricing," Research Paper Series 292, Quantitative Finance Research Centre, University of Technology, Sydney.
    18. Carl Chiarella & Nadima El-Hassan & Adam Kucera, 2004. "Evaluation of Point Barrier Options in a Path Integral Framework Using Fourier-Hermite Expansions," Research Paper Series 126, Quantitative Finance Research Centre, University of Technology, Sydney.
    19. Decamps, Marc & De Schepper, Ann & Goovaerts, Marc, 2004. "Applications of δ-function perturbation to the pricing of derivative securities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 342(3), pages 677-692.
    20. Zhu, Song-Ping & Chen, Wen-Ting, 2013. "An inverse finite element method for pricing American options," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 231-250.
    21. Muthuraman, Kumar, 2008. "A moving boundary approach to American option pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 32(11), pages 3520-3537, November.
    22. Nikola Gradojevic & Dragan Kukolj & Ramazan Gencay, 2011. "Clustering and Classification in Option Pricing," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 3(2), pages 109-128, October.
    23. Zura Kakushadze, 2015. "Path integral and asset pricing," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1759-1771, November.
    24. Abderrahmen Aloulou & Younes Boujelbene, 2019. "Dynamic analysis of implied risk neutral density," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 12(1), pages 39-58.
    25. Andrew Ziogas, 2005. "Pricing American Options Using Fourier Analysis," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2005, January-A.
    26. Carl Chiarella & Adam Kucera & Andrew Ziogas, 2004. "A Survey of the Integral Representation of American Option Prices," Research Paper Series 118, Quantitative Finance Research Centre, University of Technology, Sydney.
    27. DECAMPS, Marc & DE SCHEPPER, Ann & GOOVAERTS, Marc, "undated". "Path integrals as a tool for pricing interest rate contingent claims: The case of reflecting and absorbing boundaries," Working Papers 2003027, University of Antwerp, Faculty of Business and Economics.
    28. Jonathan Ziveyi, 2011. "The Evaluation of Early Exercise Exotic Options," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2011, January-A.

  87. C. Chiarella & P. Khomin, 1999. "Adaptively evolving expectations in models of monetarydynamics‐ The fundamentalists forward looking," Annals of Operations Research, Springer, vol. 89(0), pages 21-34, January.

    Cited by:

    1. De Grauwe, Paul & Gerba, Eddie, 2018. "The role of cognitive limitations and heterogeneous expectations for aggregate production and credit cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 206-236.
    2. Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    3. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    4. Maurizio Bovi & Roy Cerqueti, 2016. "Forecasting macroeconomic fundamentals in economic crises," Annals of Operations Research, Springer, vol. 247(2), pages 451-469, December.
    5. Brock, William A., 2000. "Whither nonlinear?," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 663-678, June.

  88. Chiarella, Carl & Flaschel, Peter, 1998. "Dynamics Of Natural Rates Of Growth And Employment," Macroeconomic Dynamics, Cambridge University Press, vol. 2(3), pages 345-368, September.

    Cited by:

    1. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "The Structure of Keynesian Macrodynamics: A Framework for Future Research," Working Paper Series 129, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Hiroaki Sasaki, 2011. "Is the Long-run Equilibrium Wage-led or Profit-led? A Kaleckian Approach," Discussion papers e-11-002, Graduate School of Economics Project Center, Kyoto University.
    3. Carl Chiarella & Peter Flaschel, 1999. "Disequilibrium Growth Theory: Foundations, Synthesis, Perspectives," Working Paper Series 85, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Chiarella, Carl & Flaschel, Peter, 2000. "High order disequilibrium growth dynamics: Theoretical aspects and numerical features," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 935-963, June.
    5. Flaschel, Peter, 2000. "Disequilibrium growth theory with insider-outsider effects," Structural Change and Economic Dynamics, Elsevier, vol. 11(3), pages 337-354, September.
    6. Flaschel, Peter & Greiner, Alfred, 2012. "Flexicurity Capitalism: Foundations, Problems, and Perspectives," OUP Catalogue, Oxford University Press, number 9780199751587.
    7. Toichiro Asada & Carl Chiarella & Peter Flaschel & Tarik Mouakil & Christian Proaño & Willi Semmler, 2011. "Stock‐Flow Interactions, Disequilibrium Macroeconomics And The Role Of Economic Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 25(3), pages 569-599, July.

  89. R. Bhar & C. Chiarella, 1997. "Transformation of Heath?Jarrow?Morton models to Markovian systems," The European Journal of Finance, Taylor & Francis Journals, vol. 3(1), pages 1-26, March.
    See citations under working paper version above.
  90. Ramaprasad Bhar & Carl Chiarella, 1997. "Interest rate futures: estimation of volatility parameters in an arbitrage-free framework," Applied Mathematical Finance, Taylor & Francis Journals, vol. 4(4), pages 181-199.
    See citations under working paper version above.
  91. Chiarella, Carl & Flaschel, Peter, 1996. "Real and monetary cycles in models of Keynes-Wicksell type," Journal of Economic Behavior & Organization, Elsevier, vol. 30(3), pages 327-351, September.

    Cited by:

    1. Toichiro Asada & Carl Chiarella & Peter Flaschel & Reiner Franke, 2003. "Interacting Two-Country Business Fluctuations," Working Paper Series 128, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Christian R. Proaño, 2011. "Gradual wage-price adjustments, labor market frictions and monetary policy rules," Working Papers 1112, New School for Social Research, Department of Economics.
    3. C. Chiarella & P. Khomin, 1999. "Adaptively evolving expectations in models of monetarydynamics‐ The fundamentalists forward looking," Annals of Operations Research, Springer, vol. 89(0), pages 21-34, January.
    4. Yoshida, Hiroyuki & Asada, Toichiro, 2007. "Dynamic analysis of policy lag in a Keynes-Goodwin model: Stability, instability, cycles and chaos," Journal of Economic Behavior & Organization, Elsevier, vol. 62(3), pages 441-469, March.
    5. Carl Chiarella & Peter Flaschel, 1995. "Keynesian Monetary Growth Dynamics: The Missing Prototype," Working Paper Series 52, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Toichiro Asada & Pu Chen & Carl Chiarella & Peter Flaschel, 2004. "Keynesian Dynamics and the Wage Price Spiral. A Baseline Disequilibrium Approach," Macroeconomics 0409001, University Library of Munich, Germany.
    7. Mario Sportelli, 2000. "Dynamic complexity in a Keynesian growth-cycle model involving Harrod's instability," Journal of Economics, Springer, vol. 71(2), pages 167-198, June.
    8. Asada, Toichiro & Chen, Pu & Chiarella, Carl & Flaschel, Peter, 2006. "Keynesian dynamics and the wage-price spiral: A baseline disequilibrium model," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 90-130, March.
    9. Roa Maria J & Vazquez Francisco Jose & Saura Dulce, 2008. "Unemployment and Economic Growth Cycles," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(2), pages 1-21, May.
    10. Chen Pu & Flaschel Peter, 2006. "Measuring the Interaction of Wage and Price Phillips Curves for the U.S. Economy," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-35, December.
    11. Chiarella, Carl & Flaschel, Peter, 2000. "High order disequilibrium growth dynamics: Theoretical aspects and numerical features," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 935-963, June.
    12. Carl Chiarella & Hing Hung & Peter Flaschel, 2010. "Keynesian Macrodynamics: Convergence, Roads to Instability and the Emergence of Complex Business Fluctuations," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 4(3), pages 236-262, November.
    13. Roberto Tamborini, 2010. "Monetary Policy With Investment–Saving Imbalances," Metroeconomica, Wiley Blackwell, vol. 61(3), pages 473-509, July.
    14. Peter Flaschel, 2001. "Viability and Corridor Stability in Keynesian Supply-Driven Growth," Metroeconomica, Wiley Blackwell, vol. 52(1), pages 26-48, February.
    15. Mario C. Sportelli, 1998. "Dynamic Complexity in a Keynesian Growth Cycle Model: Harrod's Instability Revised," Working Papers 9706, Business School - Economics, University of Glasgow, revised Jun 1999.
    16. Hiroki Murakami, 2016. "Alternative monetary policies and economic stability in a medium-term Keynesian model," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 323-362, December.
    17. Toichiro Asada & Carl Chiarella & Peter Flaschel & Christian R. Proaño, 2007. "Keynesian AD-AS, Quo Vadis?," Working Paper Series 151, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    18. Pu Chen & Carl Chiarella & Peter Flaschel & Willi Semmler, 2006. "Keynesian Macrodynamics and the Phillips Curve. An Estimated Baseline Macromodel for the U.S. Economy," Working Paper Series 147, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    19. Ogawa, Shogo & Sasaki, Hiroaki, 2020. "Numerical Analysis of the Disequilibrium Monetary Growth Model: Secular Stagnation, Slow Convergence, and Cyclical Fluctuations," MPRA Paper 103845, University Library of Munich, Germany.
    20. Roa, María José & Saura, Dulce & Vázquez, Francisco J., 2011. "Economic growth, labor market and demographic patterns," Structural Change and Economic Dynamics, Elsevier, vol. 22(1), pages 81-91, February.
    21. Peter Flaschel, 2000. "Keynes-Marx and Keynes-Wicksell Models of Monetary Growth: A framework for future analysis," Review of Political Economy, Taylor & Francis Journals, vol. 12(4), pages 453-468.

  92. Chiarella, C., 1991. "The birth of limit cycles in Cournot oligopoly models with time delays," Pure Mathematics and Applications, Department of Mathematics, Corvinus University of Budapest, vol. 2(2-3), pages 81-92.
    See citations under working paper version above.
  93. Chiarella, Carl, 1991. "The bifurcation of probability distributions in a non-linear rational expectations model of monetary economy," European Journal of Political Economy, Elsevier, vol. 7(1), pages 65-78, April.

    Cited by:

    1. Donald A. R., George & Les, Oxley, 2013. "Rational Expectations Dynamics: A Methodological Critique," SIRE Discussion Papers 2013-45, Scottish Institute for Research in Economics (SIRE).
    2. Foroni, Ilaria & Gardini, Laura & Rosser, J.Barkley, 2003. "Adaptive and statistical expectations in a renewable resource market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(6), pages 541-567.
    3. Carl Chiarella & Peter Flaschel, 1999. "Disequilibrium Growth Theory: Foundations, Synthesis, Perspectives," Working Paper Series 85, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  94. Chiarella, Carl, 1990. "Excessive exchange rate variability : A possible explanation using nonlinear economic dynamics," European Journal of Political Economy, Elsevier, vol. 6(3), pages 315-352, December.

    Cited by:

    1. Donald A. R., George & Les, Oxley, 2013. "Rational Expectations Dynamics: A Methodological Critique," SIRE Discussion Papers 2013-45, Scottish Institute for Research in Economics (SIRE).
    2. Toichiro Asada & Carl Chiarella & Peter Flaschel & Reiner Franke, 2003. "Interacting Two-Country Business Fluctuations," Working Paper Series 128, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Carl Chiarella & Peter Flaschel & Willi Semmler, 2001. "Real-Financial Interaction: A Reconsideration of the Blanchard Model with a State-of-Market Dependent Reaction Coefficient," Working Paper Series 111, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Chiarella, Carl, 1991. "The bifurcation of probability distributions in a non-linear rational expectations model of monetary economy," European Journal of Political Economy, Elsevier, vol. 7(1), pages 65-78, April.
    5. Carl Chiarella & Alexander Khomin, 1996. "Learning Dynamics in a Nonlinear Stochastic Model of Exchange Rates," Working Paper Series 64, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Carl Chiarella, 1991. "Monetary and Fiscal Policy Under Nonlinear Exchange Rate Dynamics," Working Paper Series 6, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    7. Carl Chiarella & Peter Flaschel, 1999. "Disequilibrium Growth Theory: Foundations, Synthesis, Perspectives," Working Paper Series 85, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    8. Chin-Chang Lai, 1997. "The Complex Dynamics of Real Exchange Rates with Countercyclical Balance of Trade," Open Economies Review, Springer, vol. 8(4), pages 393-401, October.
    9. Volker Bohm & Carl Chiarella, 2000. "Mean Variance Preferences, Expectations Formation, and the Dynamics of Random Asset Prices," Research Paper Series 46, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Toichiro Asada, 1995. "Kaldorian dynamics in an open economy," Journal of Economics, Springer, vol. 62(3), pages 239-269, October.

  95. Chiarella, Carl & Kemp, Murray C. & van Long, Ngo, 1989. "Innovation and the transfer of technology : A leader-follower model," Economic Modelling, Elsevier, vol. 6(4), pages 452-456, October.

    Cited by:

    1. Bondarev, Anton & Greiner, Alfred, 2017. "Catching-up and falling behind: Effects of learning in an R&D differential game with spillovers," Working papers 2017/02, Faculty of Business and Economics - University of Basel.

  96. Chiarella, Carl, 1989. "The dynamic behaviour of workers' enterprises," European Journal of Political Economy, Elsevier, vol. 5(2-3), pages 317-331.

    Cited by:

    1. Koji Okuguchi, 1992. "Labor-managed Cournot oligopoly with product differentiation," Journal of Economics, Springer, vol. 56(2), pages 197-208, June.

  97. Chiarella, Carl, 1988. "The cobweb model: Its instability and the onset of chaos," Economic Modelling, Elsevier, vol. 5(4), pages 377-384, October.

    Cited by:

    1. Carl Chiarella & Xue-Zhong He, 2001. "Dynamics of Beliefs and Learning Under aL Processes - The Homogeneous Case," Research Paper Series 53, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Hommes, Cars H., 1991. "Adaptive learning and roads to chaos : The case of the cobweb," Economics Letters, Elsevier, vol. 36(2), pages 127-132, June.
    3. Kristian Lindgren & Emma Jonson & Liv Lundberg, 2015. "Projection Of A Heterogenous Agent-Based Production Economy Model To A Closed Dynamics Of Aggregate Variables," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-19, August.
    4. Fausto, Cavalli, 2016. "A cobweb model with alternating demand and supply functions," Working Papers 325, University of Milano-Bicocca, Department of Economics, revised 07 Feb 2016.
    5. Chen, Hung-Ju & Li, Ming-Chia & Lin, Yung-Ju, 2008. "Chaotic dynamics in an overlapping generations model with myopic and adaptive expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 67(1), pages 48-56, July.
    6. Luciano Fanti, 2012. "Prices, productivity and irregular cycles in a walrasian labour market," Discussion Papers 2012/152, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    7. Terri Adams & Larry Stewart, 2015. "Chaos Theory and Organizational Crisis: A Theoretical Analysis of the Challenges Faced by the New Orleans Police Department During Hurricane Katrina," Public Organization Review, Springer, vol. 15(3), pages 415-431, September.
    8. Bunyamin Demir & Nesrin Alptekin & Yilmaz Kilicaslan & Mehmet Ergen & Nilgun Caglairmak Uslu, 2015. "Forecasting Agricultural Production: A Chaotic Dynamic Approach," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 1(1), pages 65-80, June.
    9. Christophe C. Gouel, 2012. "Agricultural price instability: a survey of competing explanations and remedies," Post-Print hal-01001218, HAL.
    10. Hommes, Cars & Sonnemans, Joep & Tuinstra, Jan & Van De Velden, Henk, 2007. "Learning In Cobweb Experiments," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 8-33, November.
    11. Hommes, C.H. & Rosser, B.J., Jr., 2000. "Consistent Expectations Equilibria and Complex Dynamics in Renewable Resource Markets," CeNDEF Working Papers 00-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    12. Hommes, Cars & Li, Kai & Wagener, Florian, 2022. "Production delays and price dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 341-362.
    13. Joe Doak & Nikos Karadimitriou, 2007. "(Re)development, Complexity and Networks: A Framework for Research," Urban Studies, Urban Studies Journal Limited, vol. 44(2), pages 209-229, February.
    14. Tuinstra, Jan & Wegener, Michael & Westerhoff, Frank, 2014. "Positive welfare effects of trade barriers in a dynamic partial equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 246-264.
    15. Anufriev, Mikhail & Kopányi, Dávid, 2018. "Oligopoly game: Price makers meet price takers," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 84-103.
    16. Hommes, Cars H., 1994. "Dynamics of the cobweb model with adaptive expectations and nonlinear supply and demand," Journal of Economic Behavior & Organization, Elsevier, vol. 24(3), pages 315-335, August.
    17. Salahshour, Soheil & Ahmadian, Ali & Allahviranloo, Tofigh, 2021. "A new fractional dynamic cobweb model based on nonsingular kernel derivatives," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    18. Huang, Weihong, 2010. "On the hidden hazards of adaptive behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 34(8), pages 1442-1455, August.
    19. Smith, Peter, 1992. "Policy generating systems: Market forces and agricultural and rural development and research," Agricultural Systems, Elsevier, vol. 40(4), pages 311-332.
    20. Wang, Shoou-Jiun & Batta, Rajan & Rump, Christopher M., 2005. "Stability of a crime level equilibrium," Socio-Economic Planning Sciences, Elsevier, vol. 39(3), pages 229-244, September.
    21. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    22. Zhao, Dongxu & Li, Kai, 2022. "Bounded rationality, adaptive behaviour, and asset prices," International Review of Financial Analysis, Elsevier, vol. 80(C).
    23. Naimzada, Ahmad & Pireddu, Marina, 2020. "Rational expectations (may) lead to complex dynamics in a Muthian cobweb model with heterogeneous agents," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 415-432.
    24. Chen, Hung-Ju & Li, Ming-Chia, 2008. "Productive public expenditures, expectation formations and nonlinear dynamics," Mathematical Social Sciences, Elsevier, vol. 56(1), pages 109-126, July.
    25. Bacsi, Zsuzsanna, 1997. "Modelling chaotic behaviour in agricultural prices using a discrete deterministic nonlinear price model," Agricultural Systems, Elsevier, vol. 55(3), pages 445-459, November.
    26. Maciej K. Dudek, 2005. "Expectation Formation and Endogenous Fluctuations in Aggregate Demand," Computing in Economics and Finance 2005 263, Society for Computational Economics.
    27. Christopher M. Rump & Shaler Stidham, 1998. "Stability and Chaos in Input Pricing for a Service Facility with Adaptive Customer Response to Congestion," Management Science, INFORMS, vol. 44(2), pages 246-261, February.
    28. Cars H. Hommes, 2009. "Bounded Rationality and Learning in Complex Markets," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 5, Edward Elgar Publishing.
    29. Joe Doak & Nikos Karadimitriou, 2004. "Land Re-Use, Complexity And Actor-Networks: A Framework For Research," Real Estate & Planning Working Papers rep-wp2004-09, Henley Business School, University of Reading.
    30. Hommes, Cars & van Eekelen, Arno, 1996. "Partial equilibrium analysis in a noisy chaotic market," Economics Letters, Elsevier, vol. 53(3), pages 275-282, December.
    31. Simon Glöser-Chahoud & Johannes Hartwig & I. David Wheat & Martin Faulstich, 2016. "The cobweb theorem and delays in adjusting supply in metals' markets," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 279-308, July.
    32. Tuinstra, Jan & Wegener, Michael & Westerhoff, Frank, 2013. "Positive welfare effects of trade barriers in a dynamic equilibrium model," BERG Working Paper Series 91, Bamberg University, Bamberg Economic Research Group.
    33. Choudhary, M. Ali & Michael Orszag, J., 2008. "A cobweb model with local externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 32(3), pages 821-847, March.
    34. Holmes, James M. & Manning, Richard, 1988. "Memory and market stability : The case of the cobweb," Economics Letters, Elsevier, vol. 28(1), pages 1-7.
    35. Barkley Rosser, J. Jr., 2001. "Complex ecologic-economic dynamics and environmental policy," Ecological Economics, Elsevier, vol. 37(1), pages 23-37, April.
    36. Huang, Weihong, 1995. "Caution implies profit," Journal of Economic Behavior & Organization, Elsevier, vol. 27(2), pages 257-277, July.
    37. Diks, C.G.H. & Hommes, C.H. & Panchenko, V. & Weide, R. van der, 2006. "E&F Chaos: a user friendly software package for nonlinear economic dynamics," CeNDEF Working Papers 06-15, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    38. Carl Chiarella & Xue-Zhong He, 2000. "Stability of Competitive Equilibria with Heterogeneous Beliefs and Learning," Research Paper Series 37, Quantitative Finance Research Centre, University of Technology, Sydney.
    39. Stéphane Hallegatte & Michael Ghil & Patrice Dumas & Jean Charles Hourcade, 2008. "Business Cycles, Bifurcations and Chaos in a Neo-Classical Model with Investment Dynamics," Post-Print halshs-00007196, HAL.
    40. Robert Kruszewski, 2013. "The Demand-Supply Model with Expectations. Complex Economic Dynamic," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 32, pages 131-141.
    41. P Commendatore & M Currie, 2005. "The Cobweb, Borrowing and Financial Crises," Economics Discussion Paper Series 0503, Economics, The University of Manchester.
    42. Dieci, Roberto & Mignot, Sarah & Westerhoff, Frank, 2022. "Production delays, technology choice and cyclical cobweb dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    43. Nijkamp, P. & Poot, J., 1991. "Lessons from non-linear dynamic economics," Serie Research Memoranda 0105, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    44. Hommes, C.H., 1999. "Cobweb Dynamics under Bounded Rationality," CeNDEF Working Papers 99-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    45. Dieci, Roberto & Westerhoff, Frank, 2010. "Interacting cobweb markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 461-481, September.
    46. Peiyuan Zhu & Carl Chiarella & Tony He, 2003. "Fading Memory Learning in the Cobweb Model with Risk Averse Heterogeneous Producers," Computing in Economics and Finance 2003 31, Society for Computational Economics.
    47. Ge Gao & Xinmin Liu & Huijun Sun & Jianjun Wu & Haiqing Liu & Wei (Walker) Wang & Zhen Wang & Tao Wang & Haoming Du, 2019. "Marginal Cost Pricing Analysis on Tradable Credits in Traffic Engineering," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-10, January.
    48. Westerhoff, Frank & Wieland, Cristian, 2010. "A behavioral cobweb-like commodity market model with heterogeneous speculators," Economic Modelling, Elsevier, vol. 27(5), pages 1136-1143, September.
    49. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    50. Sonnemans, Joep & Hommes, Cars & Tuinstra, Jan & van de Velden, Henk, 2004. "The instability of a heterogeneous cobweb economy: a strategy experiment on expectation formation," Journal of Economic Behavior & Organization, Elsevier, vol. 54(4), pages 453-481, August.
    51. Dufresne, Daniel & Vázquez-Abad, Felisa, 2012. "Cobweb theorems with production lags and price forecasting," Economics Discussion Papers 2012-17, Kiel Institute for the World Economy (IfW Kiel).
    52. Nijkamp, P. & Reggiani, A., 1990. "Spatio-temporal processes in dynamic logit models," Serie Research Memoranda 0063, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    53. Luciano Fanti, 2012. "Returns to labour and chaotic cycles of wage and employment," Discussion Papers 2012/150, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    54. Fausto Cavalli & Ahmad Naimzada & Lucia Parisio, 2021. "Learning in a double-phase cobweb model," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 579-611, December.
    55. John Stachurski, 2009. "Economic Dynamics: Theory and Computation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012774, December.
    56. Hommes, Cars H., 1998. "On the consistency of backward-looking expectations: The case of the cobweb," Journal of Economic Behavior & Organization, Elsevier, vol. 33(3-4), pages 333-362, January.
    57. J. Barkley Rosser, Jr, 2011. "Post Keynesian Perspectives And Complex Ecologic–Economic Dynamics," Metroeconomica, Wiley Blackwell, vol. 62(1), pages 96-121, February.
    58. Chiarella, Carl & He, Xue-Zhong & Hung, Hing & Zhu, Peiyuan, 2006. "An analysis of the cobweb model with boundedly rational heterogeneous producers," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 750-768, December.
    59. Kopel, Michael & Lamantia, Fabio, 2018. "The persistence of social strategies under increasing competitive pressure," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 71-83.
    60. Chaudhry, Muhammad Imran & Miranda, Mario J., 2018. "Complex price dynamics in vertically linked cobweb markets," Economic Modelling, Elsevier, vol. 72(C), pages 363-378.
    61. Dufrfesne, Daniel & Vázquez-Abad, Felisa, 2013. "Cobweb theorems with production lags and price forecasting," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-49.
    62. Volker Bohm & Carl Chiarella, 2000. "Mean Variance Preferences, Expectations Formation, and the Dynamics of Random Asset Prices," Research Paper Series 46, Quantitative Finance Research Centre, University of Technology, Sydney.
    63. Carl Chiarella & Xue-Zhong He, 1999. "The Dynamics of the Cobweb when Producers are Risk Averse Learners," Working Paper Series 90, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    64. Chian, Abraham C.-L. & Rempel, Erico L. & Rogers, Colin, 2006. "Complex economic dynamics: Chaotic saddle, crisis and intermittency," Chaos, Solitons & Fractals, Elsevier, vol. 29(5), pages 1194-1218.
    65. Kőhegyi, Gergely & Stépán, Gábor, 2003. "A versenyzői gazdaság stabilitása késleltetett áralkalmazkodás mellett [The stability of a competitive economy with delayed price adjustment]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 112-135.
    66. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    67. Currie, Martin & Kubin, Ingrid, 1995. "Non-linearities and partial analysis," Economics Letters, Elsevier, vol. 49(1), pages 27-31, July.
    68. Ahmad Naimzada & Nicolò Pecora & Fabio Tramontana, 2019. "A cobweb model with elements from prospect theory," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 763-778, April.
    69. Gallas, Jason A. C. & Nusse, Helena E., 1996. "Periodicity versus chaos in the dynamics of cobweb models," Journal of Economic Behavior & Organization, Elsevier, vol. 29(3), pages 447-464, May.
    70. Boussard, Jean-Marc, 1996. "When risk generates chaos," Journal of Economic Behavior & Organization, Elsevier, vol. 29(3), pages 433-446, May.
    71. Nijkamp, P. & Reggiani, A., 1989. "Logit models and chaotic behaviour," Serie Research Memoranda 0054, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

  98. Chiarella, Carl, 1986. "Perfect foresight models and the dynamic instability problem from a higher viewpoint," Economic Modelling, Elsevier, vol. 3(4), pages 283-292, October.

    Cited by:

    1. Donald A. R., George & Les, Oxley, 2013. "Rational Expectations Dynamics: A Methodological Critique," SIRE Discussion Papers 2013-45, Scottish Institute for Research in Economics (SIRE).
    2. C. Chiarella & P. Khomin, 1999. "Adaptively evolving expectations in models of monetarydynamics‐ The fundamentalists forward looking," Annals of Operations Research, Springer, vol. 89(0), pages 21-34, January.
    3. Luciano Fanti & Luca Gori, 2011. "Stability analysis in a Bertrand duopoly with different product quality and heterogeneous expectations," Discussion Papers 2011/122, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    4. Carl Chiarella & Peter Flaschel & Willi Semmler, 2001. "Real-Financial Interaction: A Reconsideration of the Blanchard Model with a State-of-Market Dependent Reaction Coefficient," Working Paper Series 111, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. Carl Chiarella, 1992. "Developments in Nonlinear Economic Dynamics: Past, Present and Future," Working Paper Series 14, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    6. Chiarella, Carl, 1991. "The bifurcation of probability distributions in a non-linear rational expectations model of monetary economy," European Journal of Political Economy, Elsevier, vol. 7(1), pages 65-78, April.
    7. Foroni, Ilaria & Gardini, Laura & Rosser, J.Barkley, 2003. "Adaptive and statistical expectations in a renewable resource market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 63(6), pages 541-567.
    8. Fanti, Luciano & Gori, Luca, 2011. "Stability analysis in a Cournot duopoly with managerial sales delegation and bounded rationality," MPRA Paper 33828, University Library of Munich, Germany.
    9. Flaschel, Peter & Sethi, Rajiv, 1999. "Stability in models of money and perfect foresight: implications of non-linearity," Economic Modelling, Elsevier, vol. 16(2), pages 221-233, April.
    10. Domenico Colucci, 1999. "Limited Computational Ability and Approximation of Dynamical Systems," Computing in Economics and Finance 1999 1142, Society for Computational Economics.
    11. Carl Chiarella, 1991. "Monetary and Fiscal Policy Under Nonlinear Exchange Rate Dynamics," Working Paper Series 6, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    12. Carl Chiarella & Peter Flaschel, 1999. "Disequilibrium Growth Theory: Foundations, Synthesis, Perspectives," Working Paper Series 85, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    13. Fanti, Luciano & Gori, Luca & Sodini, Mauro, 2012. "Nonlinear dynamics in a Cournot duopoly with relative profit delegation," MPRA Paper 37834, University Library of Munich, Germany.
    14. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Agliari, Anna & Chiarella, Carl & Gardini, Laura, 2006. "A re-evaluation of adaptive expectations in light of global nonlinear dynamic analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 60(4), pages 526-552, August.
    16. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "The dynamic behaviour of asset prices in disequilibrium: a survey," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 2(2), pages 101-139.
    17. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2003. "Output and the Term Structure of Interest Rates: Ways Out of th Jump-Variable Conundrum," Working Paper Series 125, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    18. Christian Lax & Torsten Trimborn, 2019. "From Disequilibrium Markets to Equilibrium," Papers 1912.09679, arXiv.org.

  99. Chiarella, Carl & Sertel, Murat R., 1986. "Competitive capitalism and cooperative labor management in a dynamic nutshell," European Journal of Political Economy, Elsevier, vol. 2(4), pages 499-519.

    Cited by:

    1. Sertel, Murat R., 1991. "Workers' enterprises in imperfect competition," Journal of Comparative Economics, Elsevier, vol. 15(4), pages 698-710, December.

  100. Chiarella, Carl, et al, 1984. "On the Economics of International Fisheries," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 85-92, February.

    Cited by:

    1. AMIR, Rabah & NANNERUP, Niels, 2004. "Information structure and the tragedy of the commons in resource extraction," LIDAM Discussion Papers CORE 2004040, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Hassan Benchekroun & Ngo Van Long, 2001. "Leader and Follower: A Differential Game Model," CIRANO Working Papers 2001s-08, CIRANO.
    3. Karp, Larry, 1992. "Efficiency Inducing Tax for a Common Property Oligopoly," Economic Journal, Royal Economic Society, vol. 102(411), pages 321-332, March.
    4. Dockner, Engelbert J. & Nishimura, Kazuo, 2005. "Capital accumulation games with a non-concave production function," Journal of Economic Behavior & Organization, Elsevier, vol. 57(4), pages 408-420, August.
    5. Geoffrey Fishburn & Murray C. Kemp, 2014. "The Gain from International Trade in Pool Goods and Private Goods," Review of International Economics, Wiley Blackwell, vol. 22(1), pages 167-169, February.
    6. Javier Frutos & Guiomar Martín-Herrán, 2018. "Selection of a Markov Perfect Nash Equilibrium in a Class of Differential Games," Dynamic Games and Applications, Springer, vol. 8(3), pages 620-636, September.
    7. Mohr, Ernst U, 1988. "Appropriation of Common Access Natural Resources through Exploration: The Relevance of the Open-Loop Concept," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 29(2), pages 307-319, May.
    8. Tasneem, Dina & Engle-Warnick, Jim & Benchekroun, Hassan, 2017. "An experimental study of a common property renewable resource game in continuous time," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 91-119.
    9. Mason, Charles F. & Sandler, Todd & Cornes, Richard, 1988. "Expectations, the commons, and optimal group size," Journal of Environmental Economics and Management, Elsevier, vol. 15(1), pages 99-110, March.
    10. K. Hori & A. Shibata, 2010. "Dynamic Game Model of Endogenous Growth with Consumption Externalities," Journal of Optimization Theory and Applications, Springer, vol. 145(1), pages 93-107, April.
    11. Javier Frutos & Guiomar Martín-Herrán, 2015. "Does Flexibility Facilitate Sustainability of Cooperation Over Time? A Case Study from Environmental Economics," Journal of Optimization Theory and Applications, Springer, vol. 165(2), pages 657-677, May.
    12. Luca Grilli, 2008. "Resource extraction activity: an intergenerational approach with asymmetric players," Quaderni DSEMS lg_gta_2008, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    13. Seierstad, Atle, 2011. "Pareto improvements of Nash equilibria in differential games," Memorandum 19/2011, Oslo University, Department of Economics.
    14. Atle Seierstad, 2014. "Pareto Improvements of Nash Equilibria in Differential Games," Dynamic Games and Applications, Springer, vol. 4(3), pages 363-375, September.
    15. Engwerda, Jacob, 2017. "Stabilization of an Uncertain Simple Fishery Management Game," Discussion Paper 2017-031, Tilburg University, Center for Economic Research.
    16. Luca Grilli, 2004. "A Stackelberg Differential Game with Overlapping Generations," Quaderni DSEMS lg_elx_2004, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    17. Luca Grilli & Pasquale Marcello Falcone, 2010. "Quantitative Analysis of the Fishing Activity in the Gulf of Manfredonia (Gargano, South-Italy)," Quaderni DSEMS lg_jep_2010, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    18. Luca Grilli, 2004. "A Differential Game for Renewable Resource Extraction Asymmetric Players and Asynchronous Horizons," Quaderni DSEMS lg_cart_2004, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    19. Karp, Larry, 1992. "Social Welfare in a Common Property Oligopoly," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(2), pages 353-372, May.
    20. Martin-Herran, G. & Rincon-Zapatero, J.P., 2005. "Efficient Markov perfect Nash equilibria: theory and application to dynamic fishery games," Journal of Economic Dynamics and Control, Elsevier, vol. 29(6), pages 1073-1096, June.
    21. Dockner, Engelbert J. & Kaitala, Veijo, 1989. "On efficient equilibrium solutions in dynamic games of resource management," Resources and Energy, Elsevier, vol. 11(1), pages 23-34, March.
    22. Jorgensen, Steffen & Zaccour, Georges, 2003. "Channel coordination over time: incentive equilibria and credibility," Journal of Economic Dynamics and Control, Elsevier, vol. 27(5), pages 801-822, March.
    23. Luca Grilli, 2003. "Resource extraction activity: an intergenerational approach," Quaderni DSEMS 01-2003, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    24. Ngo Long, 2011. "Dynamic Games in the Economics of Natural Resources: A Survey," Dynamic Games and Applications, Springer, vol. 1(1), pages 115-148, March.
    25. Marta Biancardi & Lucia Maddalena & Giovanni Villani, 2020. "Groundwater extraction among overlapping generations: a differential game approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 539-556, December.
    26. Crabbé, Philippe, 1990. "Les économistes doivent-ils se mettre au vert?," L'Actualité Economique, Société Canadienne de Science Economique, vol. 66(3), pages 285-304, septembre.

Chapters

  1. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Modelling Interest Rate Dynamics," Dynamic Modeling and Econometrics in Economics and Finance, in: Derivative Security Pricing, edition 127, chapter 0, pages 439-467, Springer.

    Cited by:

    1. Emel Siklar & Ilyas Siklar, 2021. "Time Series Dynamics of Short Term Interest Rates in Turkey," Business and Economic Research, Macrothink Institute, vol. 11(1), pages 92-108, March.

  2. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Pricing the American Feature," Dynamic Modeling and Econometrics in Economics and Finance, in: Derivative Security Pricing, edition 127, chapter 0, pages 349-369, Springer.

    Cited by:

    1. Stacie F. Waites & Adam Farmer & Carol L. Esmark Jones, 2021. "Building toward a solid foundation: The effect of thinking concretely about the future," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(1), pages 254-273, March.

  3. Carl Chiarella & Nadima El-Hassan & Adam Kucera, 2008. "The Evaluation of Discrete Barrier Options in a Path Integral Framework," Springer Books, in: Erricos J. Kontoghiorghes & Berç Rustem & Peter Winker (ed.), Computational Methods in Financial Engineering, pages 117-144, Springer.

    Cited by:

    1. Zura Kakushadze, 2014. "Path Integral and Asset Pricing," Papers 1410.1611, arXiv.org, revised Aug 2016.

  4. Carl Chiarella & Xue-Zhong He, 2008. "An Adaptive Model of Asset Price and Wealth Dynamics in a Market with Heterogeneous Trading Strategies," International Handbooks on Information Systems, in: Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), Handbook on Information Technology in Finance, chapter 20, pages 465-499, Springer.

    Cited by:

    1. Zhao, Zhijun & Zhang, Xiaoqi, 2022. "A continuous heterogeneous-agent model for the co-evolution of asset price and wealth distribution in financial market," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    2. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. Blake LeBaron, 2011. "Active and Passive Learning in Agent-based Financial Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 35-43.

  5. Carl Chiarella & Xue-Zhong He & Duo Wang, 2006. "Statistical Properties of a Heterogeneous Asset Pricing Model with Time-varying Second Moment," Lecture Notes in Economics and Mathematical Systems, in: Akira Namatame & Taisei Kaizouji & Yuuji Aruka (ed.), The Complex Networks of Economic Interactions, pages 109-123, Springer.

    Cited by:

    1. Park, Beum-Jo, 2014. "Time-varying, heterogeneous risk aversion and dynamics of asset prices among boundedly rational agents," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 150-159.
    2. Giovanni Campisi & Silvia Muzzioli, 2020. "Fundamentalists heterogeneity and the role of the sentiment indicator," Department of Economics 0167, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".

  6. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2006. "Introduction," Contributions to Economic Analysis, in: Quantitative and Empirical Analysis of Nonlinear Dynamic Macromodels, pages 1-3, Emerald Group Publishing Limited.

    Cited by:

    1. Cabrera, Derek & Colosi, Laura & Lobdell, Claire, 2008. "Systems thinking," Evaluation and Program Planning, Elsevier, vol. 31(3), pages 299-310, August.
    2. Hang Le & Chris Brewster & Mehmet Demirbag & Geoffrey Wood, 2013. "Management Compensation Systems in MNCs and Domestic Firms," Management International Review, Springer, vol. 53(5), pages 741-762, October.
    3. Levin-Rozalis, Miri, 2010. "Cybernetics: A possible solution for the "knowledge gap" between "external" and "internal" in evaluation processes," Evaluation and Program Planning, Elsevier, vol. 33(4), pages 333-342, November.

  7. Carl Chiarella & Peter Flaschel & Reiner Franke & Willi Semmler, 2006. "A High-Dimensional Model of Real-Financial Market Interaction: The Cascade of Stable Matrices Approach," Contributions to Economic Analysis, in: Quantitative and Empirical Analysis of Nonlinear Dynamic Macromodels, pages 359-384, Emerald Group Publishing Limited.

    Cited by:

    1. Yanovski, Boyan & Tahri, Ibrahim & Lessmann, Kai, 2024. "Green transition and macroeconomic stabilization," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 586-601.

  8. Carl Chiarella & Xue-Zhong He, 2005. "An Asset Pricing Model with Adaptive Heterogeneous Agents and Wealth Effects," Lecture Notes in Economics and Mathematical Systems, in: Thomas Lux & Eleni Samanidou & Stefan Reitz (ed.), Nonlinear Dynamics and Heterogeneous Interacting Agents, pages 269-285, Springer.

    Cited by:

    1. Frank H. Westerhoff, 2009. "Exchange Rate Dynamics: A Nonlinear Survey," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 11, Edward Elgar Publishing.
    2. Yu Zhang & Weihong Huang, 2018. "Impact of strategy switching on wealth accumulation," Journal of Evolutionary Economics, Springer, vol. 28(4), pages 961-983, September.
    3. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    4. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Serena Brianzoni & Cristiana Mammana & Elisabetta Michetti, 2010. "Updating Wealth in an Asset Pricing Model with Heterogeneous Agents," Discrete Dynamics in Nature and Society, Hindawi, vol. 2010, pages 1-27, November.
    6. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    7. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, September.

  9. Carl Chiarella & Ferenc Szidarovszky, 2002. "The Birth of Limit Cycles in Nonlinear Oligopolies with Continuously Distributed Information Lags," International Series in Operations Research & Management Science, in: Moshe Dror & Pierre L’Ecuyer & Ferenc Szidarovszky (ed.), Modeling Uncertainty, chapter 0, pages 249-268, Springer.
    See citations under working paper version above.
  10. Carl Chiarella & Peter Flaschel & Willi Semmler, 2001. "The macrodynamics of debt deflation," Chapters, in: Riccardo Bellofiore & Piero Ferri (ed.), Financial Fragility and Investment in the Capitalist Economy, chapter 7, Edward Elgar Publishing.
    See citations under working paper version above.
  11. Carl Chiarella & Sara Pasquali & Wolfgang J. Runggaldier, 2001. "On Filtering in Markovian Term Structure Models," World Scientific Book Chapters, in: Jiongmin Yong (ed.), Recent Developments In Mathematical Finance, chapter 12, pages 139-150, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Eckhard Platen & Wolfgang Runggaldier, 2002. "A Benchmark Approach to Filtering in Finance," Research Paper Series 77, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Gombani, Andrea & Jaschke, Stefan R. & Runggaldier, Wolfgang J., 2005. "A filtered no arbitrage model for term structures from noisy data," Stochastic Processes and their Applications, Elsevier, vol. 115(3), pages 381-400, March.
    3. Yassine El Qalli, 2010. "Recursive Bayesian Estimation In Forward Price Models Implied By Fair Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 301-333.
    4. Ram Bhar & Carl Chiarella & Wolfgang Runggaldier, 2001. "Estimation in Models of the Instantaneous Short Term Interest Rate By Use of a Dynamic Bayesian Algorithm," Research Paper Series 68, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Ram Bhar & Carl Chiarella & Hing Hung & Wolfgang Runggaldier, 2004. "The Volatility of the Instantaneous Spot Interest Rate Implied by Arbitrage Pricing - A Dynamic Bayesian Approach," Finance 0409002, University Library of Munich, Germany.

Books

  1. Carl Chiarella & Willi Semmler & Chih-Ying Hsiao & Lebogang Mateane, 2016. "Sustainable Asset Accumulation and Dynamic Portfolio Decisions," Dynamic Modeling and Econometrics in Economics and Finance, Springer, number 978-3-662-49229-1, June.

    Cited by:

    1. Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Philippe Bertrand & Jean-Luc Prigent, 2019. "Mixed-asset portfolio allocation under mean-reverting asset returns," Annals of Operations Research, Springer, vol. 281(1), pages 65-98, October.
    2. Andreas Lichtenberger & Joao Paulo Braga & Willi Semmler, 2022. "Green Bonds for the Transition to a Low-Carbon Economy," Econometrics, MDPI, vol. 10(1), pages 1-31, March.
    3. Braga, Joao Paulo & Semmler, Willi & Grass, Dieter, 2021. "De-risking of green investments through a green bond market – Empirics and a dynamic model," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    4. Raphaele Chappe & Willi Semmler, 2019. "Financial Market as Driver for Disparity in Wealth Accumulation—A Receding Horizon Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 1231-1261, October.
    5. Willi Semmler & Brigitte Young, 2024. "Threats of sovereign debt overhang in the EU, the new fiscal rules and the perils of policy drift," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 41(2), pages 565-595, July.

  2. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Derivative Security Pricing," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-662-45906-5, June.

    Cited by:

    1. Carl Chiarella & Willi Semmler & Chih-Ying Hsiao & Lebogang Mateane, 2016. "Asset Accumulation and Portfolio Decisions Under Inflation Risk," Dynamic Modeling and Econometrics in Economics and Finance, in: Sustainable Asset Accumulation and Dynamic Portfolio Decisions, chapter 0, pages 139-177, Springer.
    2. Kenné, Jean-Pierre & Gharbi, Ali, 2018. "Production and replacement policies for a deteriorating manufacturing system under random demand and qualityAuthor-Name: Ouaret, Samir," European Journal of Operational Research, Elsevier, vol. 264(2), pages 623-636.
    3. Emel Siklar & Ilyas Siklar, 2021. "Time Series Dynamics of Short Term Interest Rates in Turkey," Business and Economic Research, Macrothink Institute, vol. 11(1), pages 92-108, March.

  3. Carl Chiarella & Boda Kang & Gunter H Meyer, 2014. "The Numerical Solution of the American Option Pricing Problem:Finite Difference and Transform Approaches," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8736.

    Cited by:

    1. Zhiqiang Zhou & Hongying Wu & Yuezhang Li & Caijuan Kang & You Wu, 2024. "Three-Layer Artificial Neural Network for Pricing Multi-Asset European Option," Mathematics, MDPI, vol. 12(17), pages 1-22, September.
    2. Elisa Alos & Fabio Antonelli & Alessandro Ramponi & Sergio Scarlatti, 2019. "CVA and vulnerable options in stochastic volatility models," Papers 1907.12922, arXiv.org.

  4. Gian Italo Bischi & Carl Chiarella & Iryna Sushko (ed.), 2013. "Global Analysis of Dynamic Models in Economics and Finance," Springer Books, Springer, edition 127, number 978-3-642-29503-4, March.

    Cited by:

    1. Wilko Bolt & Maria Demertzis & Cees Diks & Cars Hommes & Marco van der Leij, 2014. "Identifying Booms and Busts in House Prices under Heterogeneous Expectations," European Economy - Economic Papers 2008 - 2015 540, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-varying economic dominance in financial markets: A bistable dynamics approach," Published Paper Series 2018-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Mai, Fengxia & Zhang, Jianxiong & Sun, Xiaojie, 2021. "Dynamic analysis of pricing model in a book supply chain," International Journal of Production Economics, Elsevier, vol. 233(C).
    4. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, March.
    5. Ling Zhang & Wenlong Bian & Hao Zhang, 2019. "Dissecting the myth of the house price in Chinese metropolises: allowing for behavioral heterogeneity among investors," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 721-740, December.
    6. Tarasova, Valentina V. & Tarasov, Vasily E., 2017. "Logistic map with memory from economic model," Chaos, Solitons & Fractals, Elsevier, vol. 95(C), pages 84-91.
    7. Hommes, C.H. & Zhu, M., 2016. "Behavioral Learning Equilibria, Persistence Amplification & Monetary Policy," CeNDEF Working Papers 16-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    8. Jixiang Zhang & Chen Zhu, 2020. "Research on the Dynamic Pricing and Service Decisions in the Reverse Supply Chain considering Consumers’ Service Sensitivity," Sustainability, MDPI, vol. 12(22), pages 1-21, November.
    9. Commendatore, Pasquale & Kubin, Ingrid & Petraglia, Carmelo & Sushko, Iryna, 2014. "Regional integration, international liberalisation and the dynamics of industrial agglomeration," Department of Economics Working Paper Series 164, WU Vienna University of Economics and Business.
    10. Xue-Zhong He & Kai Li & Chuncheng Wang, 2018. "Time-Varying Economic Dominance Through Bistable Dynamics," Research Paper Series 390, Quantitative Finance Research Centre, University of Technology, Sydney.
    11. Commendatore, Pasquale & Kubin, Ingrid & Mossay, Pascal & Sushko, Iryna, 2015. "Dynamic agglomeration patterns in a two-country new economic geography model with four regions," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 2-17.
    12. Tramontana, Fabio & Westerhoff, Frank & Gardini, Laura, 2012. "The bull and bear market model of Huang and Day : Some extensions and new results," BERG Working Paper Series 89, Bamberg University, Bamberg Economic Research Group.
    13. Marcel Ausloos & Herbert Dawid & Ugo Merlone, 2015. "Spatial Interactions in Agent-Based Modeling," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 353-377, Springer.
    14. Hommes, Cars & Zhu, Mei, 2014. "Behavioral learning equilibria," Journal of Economic Theory, Elsevier, vol. 150(C), pages 778-814.
    15. Cars Hommes, 2017. "From Self-Fulfilling Mistakes to Behavioral Learning Equilibria," Studies in Economic Theory, in: Kazuo Nishimura & Alain Venditti & Nicholas C. Yannelis (ed.), Sunspots and Non-Linear Dynamics, chapter 0, pages 97-123, Springer.
    16. Zhenxi Chen & Cuntong Wang, 2020. "Speculative trading in Chinese housing market: a panel regression method," Applied Economics, Taylor & Francis Journals, vol. 52(38), pages 4186-4195, July.
    17. Sushko, Iryna & Gardini, Laura & Matsuyama, Kiminori, 2019. "Dynamics of a generalized fashion cycle model," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 135-147.
    18. Lo Schiavo, Mauro & Prinari, Barbara & Saito, Ikuko & Shoji, Kotaro & Benight, Charles C., 2019. "A dynamical systems approach to triadic reciprocal determinism of social cognitive theory," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 159(C), pages 18-38.
    19. Tramontana, Fabio & Sushko, Iryna & Avrutin, Viktor, 2015. "Period adding structure in a 2D discontinuous model of economic growth," Applied Mathematics and Computation, Elsevier, vol. 253(C), pages 262-273.
    20. Pasquale Commendatore & Ingrid Kubin & Pascal Mossay & Iryna Sushko, 2015. "Dynamic agglomeration patterns in a 2-country NEG model with 4 regions," Gecomplexity Discussion Paper Series 10, Action IS1104 "The EU in the new complex geography of economic systems: models, tools and policy evaluation", revised Feb 2015.
    21. L. Garrido-da-Silva & Sofia B.S.D. Castro & Paulo B. Vasconcelos, 2014. "Discrete dynamics for the core-periphery model," FEP Working Papers 528, Universidade do Porto, Faculdade de Economia do Porto.
    22. Fabio Dercole & Davide Radi, 2014. "Does the "uptick rule" stabilize the stock market? Insights from Adaptive Rational Equilibrium Dynamics," Papers 1405.7747, arXiv.org.
    23. Valentina V. Tarasova & Vasily E. Tarasov, 2017. "Logistic map with memory from economic model," Papers 1712.09092, arXiv.org.
    24. Dudek, Maciej K., 2014. "Living in an imaginary world that looks real," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 209-223.
    25. Commendatore, Pasquale & Kubin, Ingrid & Sushko, Iryna, 2015. "Typical bifurcation scenario in a three region identical New Economic Geography model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 108(C), pages 63-80.

  5. Chiarella,Carl & Flaschel,Peter & Franke,Reiner, 2011. "Foundations for a Disequilibrium Theory of the Business Cycle," Cambridge Books, Cambridge University Press, number 9780521369923, January.

    Cited by:

    1. Peter Flaschel & Giorgos Galanis & Daniele Tavani & Roberto Veneziani, 2021. "Pandemics and aggregate demand: A framework for policy analysis," CAMA Working Papers 2021-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Ogawa, Shogo, 2020. "Monetary Growth with Disequilibrium: a Non-Walrasian baseline model," MPRA Paper 101236, University Library of Munich, Germany.
    3. Christian R. Proaño, 2011. "Gradual wage-price adjustments, labor market frictions and monetary policy rules," Working Papers 1112, New School for Social Research, Department of Economics.
    4. Franke, Reiner & Sacht, Stephen, 2010. "Some observations in the high-frequency versions of a standard new-keynesian model," Economics Working Papers 2010-01, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Matthieu Charpe & Carl Chiarella & Peter Flaschel & Christian R. Proaño, 2014. "Business Confidence and Macroeconomic Dynamics in a Nonlinear Two-Country Framework with Aggregate Opinion Dynamics," Working Papers 1401, New School for Social Research, Department of Economics.
    6. Toichiro Asada & Peter Flaschel & Peter Skott, 2005. "Prosperity and Stagnation in Capitalist Economies," UMASS Amherst Economics Working Papers 2005-12, University of Massachusetts Amherst, Department of Economics.
    7. Charpe, Matthieu, 2009. "Dette des ménages et instabilité financière," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 5.
    8. Ricardo A. Araújo & Marwil J. Dávila-Fernández, 2018. "Some new insights on the empirics of Goodwin’s growth-cycle model," Department of Economics University of Siena 790, Department of Economics, University of Siena.
    9. Lisa Sella & Gianna Vivaldo & Andreas Groth & Michael Ghil, 2016. "Economic Cycles and Their Synchronization: A Comparison of Cyclic Modes in Three European Countries," Post-Print hal-01701122, HAL.
    10. Andreas Groth & Michael Ghil & Stéphane Hallegatte & Patrice Dumas, 2015. "The role of oscillatory modes in US business cycles," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(1), pages 63-81.
    11. Tianhao Zhi, 2016. "The Theory and Models of Keynesian Disequilibrium Macroeconomics," Working Paper Series 185, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    12. Punzo, Lionello F., 2006. "Towards a disequilibrium theory of structural dynamics: Goodwin's contribution," Structural Change and Economic Dynamics, Elsevier, vol. 17(4), pages 382-399, December.
    13. Orlando Gomes & J. C. Sprott, 2017. "Sentiment-driven limit cycles and chaos," Journal of Evolutionary Economics, Springer, vol. 27(4), pages 729-760, September.
    14. Christian Schoder & Remzi Baris Tercioglu, 2024. "A climate-fiscal policy mix to achieve Türkiye’s net-zero ambition under feasibility constraints," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 21(2), pages 331-359, April.
    15. Peter Flaschel & Matthieu Charpe & Giorgos Galanis & Christian R. Proaño & Roberto Veneziani, 2017. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," IMK Working Paper 186-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    16. Chiarella Carl & Flaschel Peter & Köper Carsten & Proaño Christian & Semmler Willi, 2012. "Macroeconomic Stabilization Policies in Intrinsically Unstable Macroeconomies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(2), pages 1-38, April.
    17. Salim Chahine & Adam Chahine, 2024. "COVID-19 Crisis and the Association Between Inequality and Economic Growth," Journal of Interdisciplinary Economics, , vol. 36(2), pages 246-261, July.
    18. Roxana Maria Grecu, 2011. "Comparative Perspectives In Economic Crises Geography. Economic Strategies In Eu Countries," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 3(2), pages 237-256, June.
    19. Day, Richard H. & Yang, Chengyu, 2009. "From Keynes to Solow to optimal growth: An encompassing model of monetary and fiscal policy," Journal of Economic Behavior & Organization, Elsevier, vol. 72(2), pages 780-795, November.
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    68. Ogawa, Shogo, 2022. "Capital and inventory investments under quantity constraints: A microfounded Metzlerian model," MPRA Paper 111906, University Library of Munich, Germany.
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    71. Göran Kauermann & Timo Teuber & Peter Flaschel, 2012. "Exploring US Business Cycles with Bivariate Loops Using Penalized Spline Regression," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 409-427, April.
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    74. Peter Flaschel & Sigrid Luchtenberg, 2012. "Roads to Social Capitalism," Books, Edward Elgar Publishing, number 14812, March.
    75. Giorgos Galanis & Ashok Kumar, 2018. "A dynamic spatial model of global governance structures," Working Papers PKWP1804, Post Keynesian Economics Society (PKES).
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    81. Gang Gong & Jian Gao, 2008. "Monetary policy under fixed exchange regime: A study on the future monetary policy in China," Psychometrika, Springer;The Psychometric Society, vol. 3(2), pages 169-208, June.
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    84. Pu Chen & Carl Chiarella & Peter Flaschel & Willi Semmler, 2006. "The feedback channels in macroeconomics: analytical foundations for structural econometric model building," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(3), pages 261-288, September.
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    89. Matthieu Charpe & Peter Flaschel, 2011. "Worker debt, default ans diversity of financial fragility," IMK Working Paper 5-2011, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    90. Roberto Tamborini, 2008. "The macroeconomics of imperfect capital markets. Whither saving-investment imbalances?," Department of Economics Working Papers 0815, Department of Economics, University of Trento, Italia.
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    92. Tianhao Zhi, 2016. "Animal Spirits and Financial Instability - A Disequilibrium Macroeconomic Perspective," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2016, January-A.
    93. Ogawa, Shogo, 2022. "Survey of non-Walrasian disequilibrium economic theory," MPRA Paper 115011, University Library of Munich, Germany.
    94. Matthieu Charpe & Peter Flaschel & Christian R. Proaño, 2012. "Income Distribution, Credit Rationing And Households' Debt," Metroeconomica, Wiley Blackwell, vol. 63(3), pages 458-492, July.
    95. Lisa Sella & Gianna Vivaldo & Andreas Groth & Michael Ghil, 2016. "Economic Cycles and Their Synchronization: A Comparison of Cyclic Modes in Three European Countries," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 25-48, September.
    96. Lance Taylor, 2008. "A foxy hedgehog: Wynne Godley and macroeconomic modelling," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 32(4), pages 639-663, July.
    97. Sołtysiak Damian, 2023. "On the stability of a certain Keynes-Metzler-Goodwin monetary growth model," Economics and Business Review, Sciendo, vol. 9(1), pages 26-64, April.
    98. Greg Hannsgen, 2013. "Heterodox Shocks," Economics Working Paper Archive wp_766, Levy Economics Institute.

  6. Chiarella,Carl & Flaschel,Peter, 2011. "The Dynamics of Keynesian Monetary Growth," Cambridge Books, Cambridge University Press, number 9780521180184, January.
    See citations under working paper version above.
  7. Charpe,Matthieu & Chiarella,Carl & Flaschel,Peter & Semmler,Willi, 2011. "Financial Assets, Debt and Liquidity Crises," Cambridge Books, Cambridge University Press, number 9781107004931, January.

    Cited by:

    1. Greg Philip Hannsgen & Tai Young-Taft, 2021. "Expectational and Portfolio-Demand Shifts in a Keynesian Model of Monetary Growth Fluctuations," Working Papers PKWP2112, Post Keynesian Economics Society (PKES).
    2. Kohler, Karsten, 2019. "Exchange rate dynamics, balance sheet effects, and capital flows. A Minskyan model of emerging market boom-bust cycles," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 270-283.
    3. Charpe, Matthieu, 2009. "Dette des ménages et instabilité financière," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 5.
    4. Robert W. Dimand, 2014. "James Tobin and Modern Monetary Theory," Center for the History of Political Economy Working Paper Series 2014-5, Center for the History of Political Economy.
    5. Peter Flaschel & Matthieu Charpe & Giorgos Galanis & Christian R. Proaño & Roberto Veneziani, 2017. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," IMK Working Paper 186-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    6. Toichiro Asada, 2012. "Modeling financial instability," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 9(2), pages 215-232.
    7. Kohler, Karsten & Tippet, Ben & Stockhammer, Engelbert, 2022. "House price cycles, housing systems, and growth models," IPE Working Papers 194/2022, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    8. Nikolaidi, Maria, 2014. "Margins of safety and instability in a macrodynamic model with Minskyan insights," Structural Change and Economic Dynamics, Elsevier, vol. 31(C), pages 1-16.
    9. Pierre Jacques & Louis Delannoy & Baptiste Andrieu & Devrim Yilmaz & Hervé Jeanmart & Antoine Godin, 2023. "Assessing the economic consequences of an energy transition through a biophysical stock-flow consistent model," Post-Print hal-04087628, HAL.
    10. Yannis Dafermos, 2015. "Debt cycles, instability and fiscal rules: a Godley-Minsky model," Working Papers 20151509, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    11. Charpe, Matthieu & Flaschel, Peter, 2013. "Workers’ debt, default and the diversity of financial fragilities," Structural Change and Economic Dynamics, Elsevier, vol. 27(C), pages 48-65.
    12. Yannis Dafermos, 2018. "Debt cycles, instability and fiscal rules: a Godley–Minsky synthesis," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(5), pages 1277-1313.
    13. Reiner Franke, 2017. "What output-capital ratio to adopt for macroeconomic calibrations?," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(2), pages 208-224, March.
    14. Reissl, Severin, 2020. "Minsky from the bottom up – Formalising the two-price model of investment in a simple agent-based framework," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 109-142.
    15. Chen, Pu & Semmler, Willi, 2018. "Financial stress, regime switching and spillover effects: Evidence from a multi-regime global VAR model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 318-348.
    16. Matthieu Charpe & Peter Flaschel & Hans-Martin Krolzig & Christian Proaño & Willi Semmler & Daniele Tavani, 2013. "Credit-Driven Investment, Heterogeneous Labor Markets and Macroeconomic Dynamics," Working Papers 1301, New School for Social Research, Department of Economics.
    17. Gallegati, Marco & Delli Gatti, Domenico, 2018. "Macrofinancial imbalances in historical perspective: A global crisis index," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 190-205.
    18. Ernst, Ekkehard & Semmler, Willi & Haider, Alexander, 2017. "Debt-deflation, financial market stress and regime change – Evidence from Europe using MRVAR," Journal of Economic Dynamics and Control, Elsevier, vol. 81(C), pages 115-139.
    19. Florian Hartmann & Matthieu Charpe & Peter Flaschel & Roberto Veneziani, 2016. "A Basic Model of Real-Financial Market Interactions with Heterogeneous Opinion Dynamics," IEER Working Papers 104, Institute of Empirical Economic Research, Osnabrueck University, revised 26 May 2016.
    20. Toichiro Asada & Carl Chiarella & Peter Flaschel & Tarik Mouakil & Christian Proaño & Willi Semmler, 2011. "Stock‐Flow Interactions, Disequilibrium Macroeconomics And The Role Of Economic Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 25(3), pages 569-599, July.
    21. Greg Hannsgen & Tai Young-Taft, 2015. "Inside Money in a Kaldor-Kalecki-Steindl Fiscal Policy Model: The Unit of Account, Inflation, Leverage, and Financial Fragility," Economics Working Paper Archive wp_839, Levy Economics Institute.
    22. Greg Philip Hannsgen, 2021. "A Minimal Probabilistic Minsky Model: 3D Continuous-Jump Dynamics," Working Papers PKWP2102, Post Keynesian Economics Society (PKES).
    23. Antoine GODIN & Devrim YILMAZ & Jhan ANDRADE & Santiago BARBOSA & Diego GUEVARA & Gustavo HERNANDEZ & Leonardo ROJAS, 2023. "Can Colombia cope with a Global Low Carbon transition?," Working Paper 433ec0f8-625e-434c-bf44-3, Agence française de développement.
    24. Antoine GODIN & Sakir-Devrim YILMAZ, 2020. "Modelling Small Open Developing Economies in a Financialized World: A Stock-Flow Consistent Prototype Growth Model," Working Paper 5eb7e0e8-560f-4ce6-91a5-5, Agence française de développement.
    25. Peter Flaschel & Sigrid Luchtenberg, 2012. "Roads to Social Capitalism," Books, Edward Elgar Publishing, number 14812, March.
    26. Matthieu Charpe & Peter Flaschel, 2011. "Worker debt, default ans diversity of financial fragility," IMK Working Paper 5-2011, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    27. Kato, Mika & Proaño, Christian R. & Semmler, Willi, 2018. "Does international-reserves targeting decrease the vulnerability to capital flights?," Research in International Business and Finance, Elsevier, vol. 44(C), pages 64-75.
    28. Matthieu Charpe & Peter Flaschel & Christian R. Proaño, 2012. "Income Distribution, Credit Rationing And Households' Debt," Metroeconomica, Wiley Blackwell, vol. 63(3), pages 458-492, July.
    29. Sołtysiak Damian, 2023. "On the stability of a certain Keynes-Metzler-Goodwin monetary growth model," Economics and Business Review, Sciendo, vol. 9(1), pages 26-64, April.

  8. Gian Italo Bischi & Carl Chiarella & Michael Kopel & Ferenc Szidarovszky, 2010. "Nonlinear Oligopolies," Springer Books, Springer, number 978-3-642-02106-0, March.

    Cited by:

    1. Andaluz, J. & Elsadany, A.A. & Jarne, G., 2023. "Dynamic behavior in a Cournot duopoly with social responsibility," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    2. Ishtiaq Ali & Sami Ullah Khan, 2022. "Asymptotic Behavior of Three Connected Stochastic Delay Neoclassical Growth Systems Using Spectral Technique," Mathematics, MDPI, vol. 10(19), pages 1-15, October.
    3. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental, pessimistic and overconfident traders: a piecewise-linear maps approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 707-726, December.
    4. Julide Yazar, 2024. "Bayesian Fictitious Play in Oligopoly: The Case of Risk-Averse Agents," Games, MDPI, vol. 15(6), pages 1-15, November.
    5. Andrea Caravaggio & Lorenzo Cerboni Baiardi & Mauro Sodini, 2021. "A note on symmetry breaking in a non linear marketing model," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 507-531, December.
    6. Bacchiocchi, Andrea & Bischi, Gian Italo & Giombini, Germana, 2022. "Non-performing loans, expectations and banking stability: A dynamic model," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    7. Giovanni Campisi & Silvia Muzzioli & Fabio Tramontana, 2021. "Uncertainty about fundamental and pessimistic traders: a piecewise-linear maps approach," Department of Economics 0186, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    8. Fanti, Luciano & Gori, Luca & Mammana, Cristiana & Michetti, Elisabetta, 2013. "The dynamics of a Bertrand duopoly with differentiated products: Synchronization, intermittency and global dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 52(C), pages 73-86.

  9. Gian Italo Bischi & Carl Chiarella & Laura Gardini (ed.), 2010. "Nonlinear Dynamics in Economics, Finance and Social Sciences," Springer Books, Springer, number 978-3-642-04023-8, March.

    Cited by:

    1. Carl Chiarella & Roberto Dieci & Xue-Zhong He & Kai Li, 2012. "An Evolutionary CAPM Under Heterogeneous Beliefs," Research Paper Series 315, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Antoci, Angelo & Galeotti, Marcello & Russu, Paolo, 2011. "Poverty trap and global indeterminacy in a growth model with open-access natural resources," Journal of Economic Theory, Elsevier, vol. 146(2), pages 569-591, March.
    3. Effrosyni Diamantoudi & Eftichios Sartzetakis & Stefania Strantza, 2018. "International Environmental Agreements - Stability with Transfers among Countries," Working Papers 2018.20, Fondazione Eni Enrico Mattei.
    4. Antoci, Angelo & Russu, Paolo & Sordi, Serena & Ticci, Elisa, 2014. "Industrialization and environmental externalities in a Solow-type model," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 211-224.
    5. Marchese, Carla & Marsiglio, Simone & Privileggi, Fabio & Ramello, Giovanni, 2014. "Endogenous Recombinant Growth through Market Production of Knowledge and Intellectual Property Rights," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201413, University of Turin.
    6. Antoci, Angelo & Borghesi, Simone & Russu, Paolo, 2012. "Environmental protection mechanisms and technological dynamics," Economic Modelling, Elsevier, vol. 29(3), pages 840-847.
    7. Orsolya Hau-Horváth & Tamás Mellár & Tamás Sebestyén, 2012. "Láthatóvá tehető-e a láthatatlan kéz? Egy ágens-alapú piaci modell tapasztalatai," UPFBE Working Paper Series 2012/4, Faculty of Business and Economics, University Pécs.
    8. Bischi, Gian Italo & Merlone, Ugo & Pruscini, Eros, 2018. "Evolutionary dynamics in club goods binary games," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 104-119.
    9. Angelo Antoci & Marcello Galeotti & Davide Radi, 2011. "Financial tools for the abatement of traffic congestion: a dynamical analysis," Working Papers - Mathematical Economics 2011-01, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    10. Laura Gardini & Noemi Schmitt & Iryna Sushko & Fabio Tramontana & Frank Westerhoff, 2019. "Necessary and sufficient conditions for the roots of a cubic polynomial and bifurcations of codimension-1, -2, -3 for 3D maps," Working Papers 1908, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2019.
    11. Matthias Raddant & Friedrich Wagner, 2013. "Phase Transition in the S&P Stock Market," Papers 1306.2508, arXiv.org, revised Jun 2015.
    12. Travaglini, Giuseppe, 2012. "Note sulla teoria del consumo [Notes on consumption theory]," MPRA Paper 36146, University Library of Munich, Germany.
    13. Privileggi, Fabio & Marsiglio, Simone, 2014. "Dynamics and Welfare in Recombinant Growth Models with Intellectual Property Rights: a Computational Method," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201414, University of Turin.
    14. Antoci, Angelo & Borghesi, Simone, 2010. "Preserving or escaping? On the welfare effects of environmental self-protective choices," MPRA Paper 22580, University Library of Munich, Germany.
    15. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014, January-A.
    16. Pierdzioch Christian & Stadtmann Georg, 2010. "Herdenverhalten von Wechselkursprognostikern? / Herd Behavior of Exchange Rate Forecasters?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(4), pages 436-453, August.
    17. Alexandru Mandes & Peter Winker, 2015. "Complexity and Model Comparison in Agent Based Modeling of Financial Markets," MAGKS Papers on Economics 201528, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    18. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    19. Calvo, Emilio & Rubio, Santiago J., 2013. "Dynamic Models of International Environmental Agreements: A Differential Game Approach," International Review of Environmental and Resource Economics, now publishers, vol. 6(4), pages 289-339, April.
    20. Giovanni Villani & Marta Biancardi, 2019. "An Evolutionary Game Approach in International Environmental Agreements with R&D Investments," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 1027-1042, October.
    21. Fabio Privileggi, 2011. "Transition Dynamics in Endogenous Recombinant Growth Models by Means of Projection Methods," Computational Economics, Springer;Society for Computational Economics, vol. 38(3), pages 367-387, October.
    22. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2010. "Time-Varying Beta: A Boundedly Rational Equilibrium Approach," Research Paper Series 275, Quantitative Finance Research Centre, University of Technology, Sydney.
    23. Antoci, Angelo & Galeotti, Marcello & Iannucci, Gianluca & Russu, Paolo, 2015. "Structural change and inter-sectoral mobility in a two-sector economy," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 18-29.
    24. Huang, Weihong, 2010. "On the complexity of strategy-switching dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 445-460, September.
    25. Xue-Zhong He & Lei Shi, 2010. "Differences in Opinion and Risk Premium," Research Paper Series 271, Quantitative Finance Research Centre, University of Technology, Sydney.
    26. Váry, Miklós, 2015. "Piaci alkalmazkodás ragadós árak mellett - Calvo-típusú ármerevség egy ágensalapú modellben [Market adjustment under sticky prices: the price rigidity of a Calvo type in an agent-based model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 48-77.
    27. Xue-Zhong He, 2012. "Recent Developments on Heterogeneous Beliefs and Adaptive Behaviour of Financial Markets," Research Paper Series 316, Quantitative Finance Research Centre, University of Technology, Sydney.
    28. Jawadi, Fredj & Namouri, Hela & Ftiti, Zied, 2018. "An analysis of the effect of investor sentiment in a heterogeneous switching transition model for G7 stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 469-484.
    29. Fabio Lamantia, 2011. "A Nonlinear Duopoly with Efficient Production-Capacity Levels," Computational Economics, Springer;Society for Computational Economics, vol. 38(3), pages 295-309, October.
    30. Angelo Antoci & Paolo Russu & Serena Sordi & Elisa Ticci, 2012. "The interaction between natural resources- and physical capital-intensive sectors in a behavioral model of economic growth," Department of Economics University of Siena 661, Department of Economics, University of Siena.
    31. Anna Agliari & Pasquale Commendatore & Ilaria Foroni & Ingrid Kubin, 2011. "Border Collision Bifurcations in a Footloose Capital Model with First Nature Firms," Computational Economics, Springer;Society for Computational Economics, vol. 38(3), pages 349-366, October.
    32. Antoci, Angelo & Russu, Paolo & Ticci, Elisa, 2012. "Environmental externalities and immiserizing structural changes in an economy with heterogeneous agents," Ecological Economics, Elsevier, vol. 81(C), pages 80-91.

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    Cited by:

    1. Asada, Toichiro, 2006. "Stabilization policy in a Keynes-Goodwin model with debt accumulation," Structural Change and Economic Dynamics, Elsevier, vol. 17(4), pages 466-485, December.
    2. Chen, Siyan & Wang, Yougui & Li, Keqiang & Wu, Jinshan, 2014. "Money creation process in a random redistribution model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 217-225.
    3. Sánchez, Julián, 2004. "The Basic Dynamics of the Stock of Money and Capital," Working Papers in Economic Theory 2004/01, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    4. Toichiro Asada, 2012. "Modeling financial instability," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 9(2), pages 215-232.
    5. Barrett, Adam B., 2018. "Stability of Zero-growth Economics Analysed with a Minskyan Model," Ecological Economics, Elsevier, vol. 146(C), pages 228-239.
    6. Denise Dollimore & Geoffrey Hodgson, 2014. "Four essays on economic evolution: an introduction," Journal of Evolutionary Economics, Springer, vol. 24(1), pages 1-10, January.
    7. Keen, Steve, 2003. "Standing on the toes of pygmies:," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 108-116.
    8. Hodgson, Geoffrey M., 2010. "Darwinian coevolution of organizations and the environment," Ecological Economics, Elsevier, vol. 69(4), pages 700-706, February.
    9. Binner, Jane & Elger, Thomas, 2002. "The UK Personal Sector Demand for Risky Money," Working Papers 2002:9, Lund University, Department of Economics.
    10. Carl Chiarella & Peter Flaschel & Willi Semmler, 2000. "Price Flexibility and Debt Dynamics in a High Order AS-AD Model," Working Paper Series 109, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    11. Binner, Jane M. & Chaudhry, Sajid & Kelly, Logan & Swofford, James L., 2018. "“Risky” monetary aggregates for the UK and US," Journal of International Money and Finance, Elsevier, vol. 89(C), pages 127-138.
    12. Steve Keen, 2013. "Predicting the ‘Global Financial Crisis’: Post-Keynesian Macroeconomics," The Economic Record, The Economic Society of Australia, vol. 89(285), pages 228-254, June.
    13. Steve Keen, 2009. "Household Debt: The Final Stage in an Artificially Extended Ponzi Bubble," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 42(3), pages 347-357, September.
    14. Keen, Steve, 2013. "A monetary Minsky model of the Great Moderation and the Great Recession," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 221-235.
    15. Steve Keen, 2010. "The Coming Depression and the End of Economic Delusion," Chapters, in: Steven Kates (ed.), Macroeconomic Theory and its Failings, chapter 8, Edward Elgar Publishing.
    16. Mochon, A. & Saez, Y. & Gomez-Barroso, J.L. & Isasi, P., 2012. "Exploring pricing rules in combinatorial sealed-bid auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 462-478.
    17. Greg Hannsgen & Tai Young-Taft, 2015. "Inside Money in a Kaldor-Kalecki-Steindl Fiscal Policy Model: The Unit of Account, Inflation, Leverage, and Financial Fragility," Economics Working Paper Archive wp_839, Levy Economics Institute.
    18. Binner, Jane & Elger, Thomas & de Peretti, Philipe, 2002. "Is UK Risky Money Weakly Separable? A Stochastic Approach," Working Papers 2002:13, Lund University, Department of Economics.
    19. Steve Keen, 2019. "Economics: What to Do About an Unreformable Discipline? الاقتصاد: ماذا نفعل لعلم غير قابل للإصلاح؟," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 32(2), pages 109-117, January.
    20. Iancu, Aurel, 2011. "Models of Financial System Fragility," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 230-256, March.
    21. Iancu, Aurel, 2011. "Financial System Fragility Models," Working Papers of National Institute for Economic Research 110211, Institutul National de Cercetari Economice (INCE).

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