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Blake Lebaron

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. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.

    Mentioned in:

    1. Golden Crosses: The Bible
      by Joshua M Brown in The Reformed Broker on 2012-03-22 20:24:46

Working papers

  1. Blake LeBaron, 2013. "Heterogeneous Agents and Long Horizon Features of Asset Prices," Working Papers 63, Brandeis University, Department of Economics and International Business School, revised Sep 2013.

    Cited by:

    1. 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.

  2. Blake LeBaron, 2010. "Wealth Dynamics and a Bias Toward Momentum Trading," Working Papers 14, Brandeis University, Department of Economics and International Business School.

    Cited by:

    1. Butt, Hilal Anwar & Virk, Nader Shahzad, 2017. "Momentum profits and time varying illiquidity effect," Finance Research Letters, Elsevier, vol. 20(C), pages 253-259.
    2. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.

  3. Blake LeBaron, 2010. "Heterogeneous Gain Learning and the Dynamics of Asset Prices," Working Papers 29, Brandeis University, Department of Economics and International Business School, revised Dec 2010.

    Cited by:

    1. Makarewicz, Tomasz, 2021. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 626-673.
    2. Christoph Aymanns & J. Doyne Farmer, 2014. "The dynamics of the leverage cycle," Papers 1407.5305, arXiv.org, revised Aug 2014.
    3. Saroj Bhattara & Gauti Eggertsson & Raphael Schoenle, 2012. "Is Increased Price Flexibility Stabilizing? Redux," Working Papers 41, Brandeis University, Department of Economics and International Business School.
    4. Pyo, Dong-Jin, 2015. "Animal spirits and stock market dynamics," ISU General Staff Papers 201501010800005596, Iowa State University, Department of Economics.
    5. Andrea Giusto, 2015. "Learning to Agree: A New Perspective on Price Drift," Economics Bulletin, AccessEcon, vol. 35(1), pages 276-282.
    6. Georges, Christophre & Pereira, Javier, 2021. "Market stability with machine learning agents," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
    7. Makarewicz, Tomasz, 2019. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," BERG Working Paper Series 141, Bamberg University, Bamberg Economic Research Group.
    8. 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.
    9. Mark Setterfield & Bill Gibson, 2013. "Real and financial crises: A multi-agent approach," Working Papers 1309, Trinity College, Department of Economics, revised Jul 2014.
    10. 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.
    11. Doris Neuberger & Roger Rissi, 2014. "Macroprudential Banking Regulation: Does One Size Fit All?," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 1(1), pages 5-28, May.
    12. 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.
    13. Schmitt, Noemi & Westerhoff, Frank, 2016. "Heterogeneity, spontaneous coordination and extreme events within large-scale and small-scale agent-based financial market models," BERG Working Paper Series 111, Bamberg University, Bamberg Economic Research Group.
    14. Po-Keng Cheng & Young Shin Kim, 2017. "Speculative bubbles and crashes： Fundamentalists and positive‐feedback trading," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1381370-138, January.
    15. 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.
    16. Philip Kostov & Sophia Davidova, 2023. "Smallholders Are Not the Same: Under the Hood of Kosovo Agriculture," Land, MDPI, vol. 12(1), pages 1-16, January.
    17. Andreas Fuster & Benjamin Hebert & David Laibson, 2012. "Natural Expectations, Macroeconomic Dynamics, and Asset Pricing," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 1-48.
    18. Hai-Chuan Xu & Wei Zhang & Xiong Xiong & Wei-Xing Zhou, 2014. "Wealth share analysis with "fundamentalist/chartist" heterogeneous agents," Papers 1405.5939, arXiv.org.
    19. 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.
    20. Georges, Christophre, 2015. "Risk preference and stability under learning," Economics Letters, Elsevier, vol. 132(C), pages 105-108.
    21. Schmitt, Noemi & Westerhoff, Frank, 2021. "Trend followers, contrarians and fundamentalists: Explaining the dynamics of financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 117-136.
    22. Thomas J Brennan & Andrew W Lo, 2012. "An Evolutionary Model of Bounded Rationality and Intelligence," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    23. 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.
    24. Kalugala Vidanalage Aruna Shantha, 2019. "Individual Investors’ Learning Behavior and Its Impact on Their Herd Bias: An Integrated Analysis in the Context of Stock Trading," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    25. Kostov, Philip & Davidova, Sophia, 2017. "One size does not fit all: an empirical investigation of the Romanian agriculture production function," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258642, Agricultural Economics Society.

  4. Blake LeBaron, 2010. "Heterogeneous Gain Learning and Long Swings in Asset Prices," Working Papers 10, Brandeis University, Department of Economics and International Business School.

    Cited by:

    1. Evans, George & Honkapohja, Seppo, 2011. "Learning as a rational foundation for macroeconomics and finance," Bank of Finland Research Discussion Papers 8/2011, Bank of Finland.
    2. Fischer, Thomas & Riedler, Jesper, 2012. "Prices, Debt and Market Structure in an Agent-Based Model of the Financial Market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 58512, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. George A. Waters, 2011. "Endogenous Rational Bubbles," Working Paper Series 20111003, Illinois State University, Department of Economics.

  5. LeBaron, Blake & Tesfatsion, Leigh S., 2008. "Modeling Macroeconomies As Open-Ended Dynamic Systems of Interacting Agents," Staff General Research Papers Archive 12973, Iowa State University, Department of Economics.

    Cited by:

    1. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2015. "Taming macroeconomic instability: Monetary and macro prudential policy interactions in an agent-based model," Working Papers hal-03459508, HAL.
    2. Behrooz Hassani-Mahmooei, Behrooz & Vahabi, Mehrdad, 2013. "Identity, Authority and Evolution of Order: the trajectory of dueling simulated," MPRA Paper 48219, University Library of Munich, Germany, revised 10 Jul 2013.
    3. Kristoufek, Ladislav & Vošvrda, Miloslav S., 2016. "Herding, minority game, market clearing and efficient markets in a simple spin model framework," FinMaP-Working Papers 68, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    4. J. Silvestre, & T. Araújo & M. St. Aubyn, 2016. "Economic growth and individual satisfaction in an agent-based economy," Working Papers Department of Economics 2016/19, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    5. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2012. "An Agent Based Decentralized Matching Macroeconomic Model," MPRA Paper 42211, University Library of Munich, Germany.
    6. Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Alessandro Sapio & Andrea Roventini & Tomas Balint & Igor Khorenzhenko, 2017. "Taming macroeconomic instability," Post-Print hal-03399574, HAL.
    7. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Economic Policies with Endogenous Innovation and Keynesian Demand Management," Post-Print hal-01410703, HAL.
    8. Gennaro Zezza & Michalis Nikiforos, 2017. "Stock-flow Consistent Macroeconomic Models: A Survey," EcoMod2017 10762, EcoMod.
    9. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.
    10. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2014. "Fiscal and monetary policies in complex evolving economies," Working Papers hal-03460560, HAL.
    11. Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
    12. 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).
    13. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    14. Tommaso Ciarli & Andre Lorentz & Marco Valente & Maria Savona, 2017. "Structural Changes and Growth Regime," Working Papers of BETA 2017-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    15. Borrill, Paul L. & Tesfatsion, Leigh, 2011. "Agent-based modeling: the right mathematics for the social sciences?," ISU General Staff Papers 201106290700001090, Iowa State University, Department of Economics.
    16. Giovanni Dosi & Andrea Roventini, 2019. "La solitudine dell'agente rappresentativo: eterogeneità e interazione per una nuova macroeconomia (The solitude of the representative agant: Heterogeneity and interaction for a new macroeconomics)," Moneta e Credito, Economia civile, vol. 72(287), pages 249-258.
    17. Gualdi, Stanislao & Tarzia, Marco & Zamponi, Francesco & Bouchaud, Jean-Philippe, 2015. "Tipping points in macroeconomic agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 29-61.
    18. Jonathan F. Cogliano and Roberto Veneziani, 2024. "Classical Competition and Equilibrium: An Agent-Based Analysis," Working Papers 2024-01, University of Massachusetts Boston, Economics Department.
    19. Antoine Mandel & Simone Landini & Mauro Gallegati & Herbert Gintis, 2013. "Price Dynamics, financial fragility and aggregate volatility," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00917892, HAL.
    20. Colombier, Carsten, 2011. "Konjunktur und Wachstum [Business cycles fluctuations and long-term growth]," MPRA Paper 104739, University Library of Munich, Germany.
    21. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    22. Billio, Monica & Lo, Andrew W. & Pelizzon, Loriana & Getmansky, Mila & Zareei, Abalfazl, 2021. "Global realignment in financial market dynamics: Evidence from ETF networks," SAFE Working Paper Series 304, Leibniz Institute for Financial Research SAFE.
    23. Marco Mazzoli & Matteo Morini & Pietro Terna, 2017. "Business Cycle in a Macromodel with Oligopoly and Agents’ Heterogeneity: An Agent-Based Approach," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 389-417, November.
    24. G; Dosi & M.C. Pereira & A. Roventini & M.E. Virgillito, 2016. "When more flexiility yields more fragility : the microfoundations of keynesian aggregate unemployment," Documents de Travail de l'OFCE 2016-07, Observatoire Francais des Conjonctures Economiques (OFCE).
    25. Polyzos, Stathis & Samitas, Aristeidis & Kampouris, Ilias, 2021. "Economic stimulus through bank regulation: Government responses to the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    26. Isabelle Salle & Murat Yildizoglu & Martin Zumpe & Marc-Alexandre Sénégas, 2017. "Coordination through social learning in a general equilibrium model," Post-Print hal-01848386, HAL.
    27. Victor Olkhov, 2020. "Business Cycles as Collective Risk Fluctuations," Papers 2012.04506, arXiv.org.
    28. Dosi, Giovanni & Fagiolo, Giorgio & Roventini, Andrea, 2010. "Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1748-1767, September.
    29. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Joseph Stiglitz & Tania Treibich, 2020. "Rational heuristics? Expectations and behaviors in evolving economies with heterogeneous interacting agents," SciencePo Working papers Main halshs-03046977, HAL.
    30. Tommaso Ciarli & Andre' Lorentz & Maria Savona & Marco Valente, 2012. "The role of technology, organisation, and demand in growth and income distribution," LEM Papers Series 2012/06, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    31. Giovanni Dosi & Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2012. "Income Distribution, Credit and Fiscal Policies in an Agent-Based Keynesian Model," EconomiX Working Papers 2012-5, University of Paris Nanterre, EconomiX.
    32. John C. Driscoll & Steinar Holden, 2014. "Behavioral Economics and Macroeconomic Models," Finance and Economics Discussion Series 2014-43, Board of Governors of the Federal Reserve System (U.S.).
    33. Giorgio Fagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth : an agent-based model," SciencePo Working papers Main hal-03455400, HAL.
    34. 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.
    35. Cristiano Cantore & Vasco J. Gabriel & Paul Levine & Joseph Pearlman & Bo Yang, 2013. "The science and art of DSGE modelling: II – model comparisons, model validation, policy analysis and general discussion," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 19, pages 441-463, Edward Elgar Publishing.
    36. Karl Naumann-Woleske & Max Sina Knicker & Michael Benzaquen & Jean-Philippe Bouchaud, 2022. "Exploration of the Parameter Space in Macroeconomic Models," Post-Print hal-03797418, HAL.
    37. INOUE Hiroyasu & MURASE Yohsuke & TODO Yasuyuki, 2021. "Do Economic Effects of the Anti-COVID-19 Lockdowns in Different Regions Interact through Supply Chains?," Discussion papers 21001, Research Institute of Economy, Trade and Industry (RIETI).
    38. Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2016. "No man is an island : the Impact of Heterogeneity and local interactions on Macroeconomic Dynamics," Documents de Travail de l'OFCE 2016-18, Observatoire Francais des Conjonctures Economiques (OFCE).
    39. Vahabi, Mehrdad & Hassani-Mahmooei, Behrooz, 2016. "The role of identity and authority from anarchy to order: Insights from modeling the trajectory of dueling in Europe," Economic Modelling, Elsevier, vol. 55(C), pages 57-72.
    40. Diana Tampu & Carmen Costea, 2013. "Why society is a complex problem? A review of Philip Ball's book: Meeting Twentyfirst Century Challenges with a New Kind of Science," Journal of Economic Development, Environment and People, Alliance of Central-Eastern European Universities, vol. 2(1), pages 80-89, March.
    41. Laliotis, Dimitrios & Buesa, Alejandro & Leber, Miha & Población García, Francisco Javier, 2019. "An agent-based model for the assessment of LTV caps," Working Paper Series 2294, European Central Bank.
    42. Didier Blanchet & Cyrille Hagneré & François Legendre & Florence Thibault, 2015. "Introduction. Microsimulations statique et dynamique appliquées aux politiques fiscales et sociales : modèles et méthodes," Économie et Statistique, Programme National Persée, vol. 481(1), pages 5-30.
    43. Zhang, Jinyu & Zhang, Qiaosen & Li, Yong & Wang, Qianchao, 2023. "Sequential Bayesian inference for agent-based models with application to the Chinese business cycle," Economic Modelling, Elsevier, vol. 126(C).
    44. Ricetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial leverage in an agent based macroeconomic model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-44.
    45. Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Tania Treibich, 2016. "The Short- and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter," International Economic Association Series, in: Joseph E. Stiglitz & Martin Guzman (ed.), Contemporary Issues in Macroeconomics, chapter 8, pages 79-100, Palgrave Macmillan.
    46. Malgorzata Olszak, 2012. "Macroprudential policy - aim, instruments and institutional architecture (Polityka ostroznosciowa w ujêciu makro - cel, instrumenty i architektura instytucjonalna)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 10(39), pages 7-32.
    47. Paul Levine, 2012. "Monetary policy in an uncertain world: probability models and the design of robust monetary rules," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 5(1), pages 70-88, April.
    48. Jonathan F. Cogliano & Roberto Veneziani & Naoki Yoshihara, 2020. "Computational Methods and Classical-Marxian Economics," Working Papers 913, Queen Mary University of London, School of Economics and Finance.
    49. 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.
    50. Lilit Popoyan & Mauro Napoletano & Andrea Roventini, 2020. "Winter is possibly not coming: Mitigating financial instability in an agent-based model with interbank market," Documents de Travail de l'OFCE 2020-14, Observatoire Francais des Conjonctures Economiques (OFCE).
    51. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2017. "Causes and Consequences of Hysteresis: Aggregate Demand, Productivity and Employment," LEM Papers Series 2017/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    52. INOUE Hiroyasu & MURASE Yohsuke & TODO Yasuyuki, 2022. "Lockdowns Require Geographic Coordination because of the Propagation of Economic Effects through Supply Chains," Discussion papers 22076, Research Institute of Economy, Trade and Industry (RIETI).
    53. Mattia Guerini & Alessio Moneta, 2016. "A Method for Agent-Based Models Validation," Working Papers Series 42, Institute for New Economic Thinking.
    54. Stanislao Gualdi & Marco Tarzia & Francesco Zamponi & Jean-Philippe Bouchaud, 2017. "Monetary policy and dark corners in a stylized agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 507-537, October.
    55. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent-based model," Documents de Travail de l'OFCE 2018-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    56. Stein, Julian Alexander Cornelius & Braun, Dieter, 2019. "Stability of a time-homogeneous system of money and antimoney in an agent-based random economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 232-249.
    57. Alberto Cardaci & Francesco Saraceno, 2019. "Between Scylla And Charybdis: Income Distribution, Consumer Credit, And Business Cycles," Economic Inquiry, Western Economic Association International, vol. 57(2), pages 953-971, April.
    58. Paul De Grauwe, 2012. "Lectures on Behavioral Macroeconomics," Economics Books, Princeton University Press, edition 1, volume 1, number 9891.
    59. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    60. Grazzini, Jakob & Richiardi, Matteo, 2015. "Estimation of ergodic agent-based models by simulated minimum distance," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 148-165.
    61. de Area Leão Pereira, Eder Johnson & da Silva, Marcus Fernandes & Pereira, H.B.B., 2017. "Econophysics: Past and present," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 251-261.
    62. Sinitskaya, Ekaterina & Tesfatsion, Leigh, 2015. "Macroeconomies as constructively rational games," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 152-182.
    63. Alexandre Truc & Muriel Dal Pont Legrand, 2024. "Agent-Based Models: Impact and Interdisciplinary Influences in Economics," GREDEG Working Papers 2024-19, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    64. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    65. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    66. Francis Tseng & Fei Liu & Bernardo Alves Furtado, 2017. "Humans of Simulated New York (HOSNY): an exploratory comprehensive model of city life," Papers 1703.05240, arXiv.org, revised Mar 2017.
    67. Dilip M. Nachane, 2016. "Dynamic stochastic general equilibrium (dsge) modelling: Theory and practice," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2016-004, Indira Gandhi Institute of Development Research, Mumbai, India.
    68. Giovanni Dosi & Maria Enrica Virgillito, 2016. "In order to stand up you must keep cycling: change and coordination in complex evolving economies," LEM Papers Series 2016/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    69. Lilit Popoyan, 2020. "Macroprudential Policy: a Blessing or a Curse?," Review of Economics and Institutions, Università di Perugia, vol. 11(1-2).
    70. Mr. Marco Gross & Christoph Siebenbrunner, 2019. "Money Creation in Fiat and Digital Currency Systems," IMF Working Papers 2019/285, International Monetary Fund.
    71. Jakob Grazzini & Matteo G. Richiardi, 2013. "Consistent Estimation of Agent-Based Models by Simulated Minimum Distance," LABORatorio R. Revelli Working Papers Series 130, LABORatorio R. Revelli, Centre for Employment Studies.
    72. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046, January.
    73. Barroso, Ricardo Vieira & Lima, Joaquim Ignacio Alves Vasconcellos & Lucchetti, Alexandre Henrique & Cajueiro, Daniel Oliveira, 2016. "Interbank network and regulation policies: an analysis through agent-based simulations with adaptive learning," MPRA Paper 73308, University Library of Munich, Germany.
    74. Matteo G. Richiardi, 2015. "The future of agent-based modelling," LABORatorio R. Revelli Working Papers Series 141, LABORatorio R. Revelli, Centre for Employment Studies.
    75. Jonathan F. Cogliano & Roberto Veneziani, 2023. "Classical Competition and Equilibrium: An Agent-Based Analysis," Working Papers 977, Queen Mary University of London, School of Economics and Finance.
    76. Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021. "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, vol. 1(7), pages 1-24, July.
    77. Giorgio Ffagiolo & Daniele Giachini & Andrea Roventini, 2017. "Innovation, Finance, and Economic Growth : an agent based approach," Documents de Travail de l'OFCE 2017-28, Observatoire Francais des Conjonctures Economiques (OFCE).
    78. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.
    79. Kazakov, Rossen & Howick, Susan & Morton, Alec, 2021. "Managing complex adaptive systems: A resource/agent qualitative modelling perspective," European Journal of Operational Research, Elsevier, vol. 290(1), pages 386-400.
    80. Teglio, Andrea, 2020. "On the typicality of the representative agent," MPRA Paper 105407, University Library of Munich, Germany.
    81. G. Dosi, 2012. "Economic Coordination and Dynamics: Some Elements of an Alternative “Evolutionary” Paradigm," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 12.
    82. Camille Cornand & Frank Heinemann, 2019. "Experiments in macroeconomics: methods and applications," Post-Print halshs-01809937, HAL.
    83. Steinar Holden, 2012. "Implications of insights from behavioral economics for macroeconomic models," IMK Working Paper 99-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    84. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    85. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," LEM Papers Series 2016/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    86. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Working Papers hal-04141079, HAL.
    87. Bernardo Alves Furtado & Isaque Daniel Rocha Eberhardt, 2015. "A simple agent-based spatial model of the economy: tools for policy," Papers 1510.04967, arXiv.org, revised Oct 2016.
    88. Turnovsky, Stephen J., 2011. "On the role of small models in macrodynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 35(9), pages 1605-1613, September.
    89. Kukacka, Jiri & Kristoufek, Ladislav, 2020. "Do ‘complex’ financial models really lead to complex dynamics? Agent-based models and multifractality," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    90. Marco Amendola & Francesco Lamperti & Andrea Roventini & Alessandro Sapio, 2023. "Energy efficiency policies in an agent-based macroeconomic model," LEM Papers Series 2023/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    91. Tommaso Ciarli, 2012. "Structural interactions and long run growth: An application of Experimental Design to Agent Based Models," Papers on Economics and Evolution 2012-06, Philipps University Marburg, Department of Geography.
    92. Lauretta, Eliana, 2018. "The hidden soul of financial innovation: An agent-based modelling of home mortgage securitization and the finance-growth nexus," Economic Modelling, Elsevier, vol. 68(C), pages 51-73.
    93. Benjamin Patrick Evans & Kirill Glavatskiy & Michael S. Harré & Mikhail Prokopenko, 2023. "The impact of social influence in Australian real estate: market forecasting with a spatial agent-based model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(1), pages 5-57, January.
    94. Edoardo Gaffeo & Mauro Gallegati & Umberto Gostoli, 2015. "An agent-based “proof of principle” for Walrasian macroeconomic theory," Computational and Mathematical Organization Theory, Springer, vol. 21(2), pages 150-183, June.
    95. Tingting Liu & Randall J. F. Bruins & Matthew T. Heberling, 2018. "Factors Influencing Farmers’ Adoption of Best Management Practices: A Review and Synthesis," Sustainability, MDPI, vol. 10(2), pages 1-26, February.
    96. Davide Fiaschi & Cristiano Ricci, 2023. "The spatial evolution of economic activities and the emergence of cities," Papers 2310.07883, arXiv.org.
    97. Thomas J Brennan & Andrew W Lo, 2012. "An Evolutionary Model of Bounded Rationality and Intelligence," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    98. Schoder, Christian, 2017. "Are Dynamic Stochastic Disequilibrium models Keynesian or neoclassical?," Structural Change and Economic Dynamics, Elsevier, vol. 40(C), pages 46-63.
    99. Peter Howitt & Ömer Özak, 2009. "Adaptive Consumption Behavior," NBER Working Papers 15427, National Bureau of Economic Research, Inc.
    100. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    101. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    102. Kukacka, Jiri & Barunik, Jozef, 2016. "Estimation of financial agent-based models with simulated maximum likelihood," FinMaP-Working Papers 63, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    103. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.
    104. Andrea Teglio & Andrea Mazzocchetti & Linda Ponta & Marco Raberto & Silvano Cincotti, 2015. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Working Papers 2015/07, Economics Department, Universitat Jaume I, Castellón (Spain).
    105. Dimitri Kroujiline & Maxim Gusev & Dmitry Ushanov & Sergey V. Sharov & Boris Govorkov, 2018. "An Endogenous Mechanism of Business Cycles," Papers 1803.05002, arXiv.org, revised Sep 2019.
    106. Giovanni Dosi & Andrea Roventini, 2024. "Evolutionary Growth Theory," LEM Papers Series 2024/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    107. Paul De Grauwe, 2010. "Top-Down versus Bottom-Up Macroeconomics," CESifo Working Paper Series 3020, CESifo.
    108. 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.
    109. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    110. Emiliano Brancaccio & Mauro Gallegati & Raffaele Giammetti, 2022. "Neoclassical influences in agent‐based literature: A systematic review," Journal of Economic Surveys, Wiley Blackwell, vol. 36(2), pages 350-385, April.
    111. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    112. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2016. "Financialisation and crisis in an agent based macroeconomic model," Economic Modelling, Elsevier, vol. 52(PA), pages 162-172.
    113. Cars Hommes & Mario He & Sebastian Poledna & Melissa Siqueira & Yang Zhang, 2022. "CANVAS: A Canadian Behavioral Agent-Based Model," Staff Working Papers 22-51, Bank of Canada.
    114. Karl Naumann-Woleske & Max Sina Knicker & Michael Benzaquen & Jean-Philippe Bouchaud, 2021. "Exploration of the Parameter Space in Macroeconomic Agent-Based Models," Papers 2111.08654, arXiv.org, revised Aug 2022.
    115. Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
    116. Karl Naumann-Woleske & Michael Benzaquen & Maxim Gusev & Dimitri Kroujiline, 2021. "Capital Demand Driven Business Cycles: Mechanism and Effects," Papers 2110.00360, arXiv.org, revised Sep 2022.
    117. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    118. Andrea Borsato, 2021. "An Agent-based Model for Secular Stagnation in the USA: Theory and Empirical Evidence," LEM Papers Series 2021/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    119. Bernhard Rengs & Manuel Scholz-Wäckerle, 2019. "Consumption & class in evolutionary macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 229-263, March.
    120. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    121. Giorgio Fagiolo & Andrea Roventini, 2016. "Macroeconomic Policy in DGSE and Agent-Based Models Redux," Working Papers hal-03459348, HAL.
    122. Mario Amendola & Jean-Luc Gaffard & Francesco Saraceno, 2012. "Production process heterogeneity, time to build, and macroeconomic performance," Post-Print hal-01053563, HAL.
    123. João Silvestre & Tanya Araújo & Miguel St. Aubyn, 2019. "Individual Satisfaction and Economic Growth in an Agent-Based Economy," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 893-903, October.
    124. Dawid, H. & Harting, P. & Neugart, M., 2014. "Economic convergence: Policy implications from a heterogeneous agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 54-80.
    125. Bernhard Rengs & Manuel Scholz-Wäckerle & Ardjan Gazheli & Miklós Antal & Jeroen C.J.M. van den Bergh, 2015. "Testing Innovation, Employment and Distributional Impacts of Climate Policy Packages in a Macro-evolutionary Systems Setting. WWWforEurope Working Paper No. 83," WIFO Studies, WIFO, number 57891, March.
    126. Tommaso Ciarli & Marco Valente, 2016. "The Complex Interactions between Economic Growth and Market Concentration in a Model of Structural Change," SPRU Working Paper Series 2016-06, SPRU - Science Policy Research Unit, University of Sussex Business School.
    127. Bauermann, Tom & Roos, Michael W. M. & Schaff, Frederik, 2020. "POSA: Policy implementation sensitivity analysis," Ruhr Economic Papers 854, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    128. Gross, Marco, 2022. "Beautiful cycles: A theory and a model implying a curious role for interest," Economic Modelling, Elsevier, vol. 106(C).
    129. De Grauwe, Paul & Ji, Yuemei, 2017. "Endogenous Asymmetric Shocks in the Eurozone. The Role of Animal Spirits," CEPR Discussion Papers 11887, C.E.P.R. Discussion Papers.
    130. Hosszú, Zsuzsanna & Mérő, Bence, 2017. "Hitelciklusok és anticiklikus tőkepuffer egy ágensalapú keynesi modellben [Credit cycles and the counter-cyclical capital buffer in an agent-based Keynesian model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 457-475.
    131. Wasim ul Rehman & Omur Saltik & Faryal Jalil & Suleyman Degirmen, 2024. "Viral decisions: unmasking the impact of COVID-19 info and behavioral quirks on investment choices," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
    132. Mehdi Montakhabi & Ine Van Zeeland & Pieter Ballon, 2022. "Barriers for Prosumers’ Open Business Models: A Resource-Based View on Assets and Data-Sharing in Electricity Markets," Sustainability, MDPI, vol. 14(9), pages 1-29, May.
    133. Riccetti, Luca & Russo, Alberto & Gallegati, Mauro, 2013. "Unemployment benefits and financial factors in an agent-based macroeconomic model," Economics Discussion Papers 2013-9, Kiel Institute for the World Economy (IfW Kiel).
    134. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    135. Dilip Nachane, 2017. "Dynamic Stochastic General Equilibrium (DSGE) Modelling :Theory And Practice," Working Papers id:11699, eSocialSciences.

  6. Ritirupa Samanta & Blake LeBaron, 2005. "Extreme Value Theory and Fat Tails in Equity Markets," Computing in Economics and Finance 2005 140, Society for Computational Economics.

    Cited by:

    1. Stephen G. Cecchetti, 2006. "Measuring the Macroeconomic Risks Posed by Asset Price Booms," NBER Working Papers 12542, National Bureau of Economic Research, Inc.
    2. Ouandlous, Arav & Barkoulas, John T. & Pantos, Themis D., 2022. "Extremity in bitcoin market activity," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    3. Jianyu Ma & Mingzhai Geng & Yun Chu, 2016. "Model selection for merger and acquisition analysis in Asian emerging markets," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 9(1), pages 40-56.
    4. 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.
    5. Jose Fernandes & Augusto Hasman & Juan Ignacio Pena, 2007. "Risk premium: insights over the threshold," Applied Financial Economics, Taylor & Francis Journals, vol. 18(1), pages 41-59.
    6. 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.
    7. Benjamin Patrick Evans & Mikhail Prokopenko, 2022. "Bounded strategic reasoning explains crisis emergence in multi-agent market games," Papers 2206.05568, arXiv.org.
    8. Cafferata, Alessia & Tramontana, Fabio, 2022. "Disposition Effect and its outcome on endogenous price fluctuations," MPRA Paper 113904, University Library of Munich, Germany.
    9. Gunduz Caginalp, 2020. "Fat tails arise endogenously in asset prices from supply/demand, with or without jump processes," Papers 2011.08275, arXiv.org, revised Mar 2021.
    10. Ouandlous, Arav & Barkoulas, John T. & Alhaj-Yaseen, Yaseen, 2018. "Persistence and discontinuity in the VIX dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 113(C), pages 333-344.
    11. 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.

  7. Blake LeBaron, 1999. "Evolution and Time Horizons in an Agent-Based Stock Market," Computing in Economics and Finance 1999 1342, Society for Computational Economics.

    Cited by:

    1. Thorsten Hens & Klaus Reiner Schenk-Hoppé, 2002. "Markets Do Not Select For a Liquidity Preference as Behavior Towards Risk," Discussion Papers 02-18, University of Copenhagen. Department of Economics.
    2. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    3. Edoardo Gaffeo & Domenico Delli Gatti & Saul Desiderio & Mauro Gallegati, 2008. "Adaptive microfoundations for emergent macroeconomics," Department of Economics Working Papers 0802, Department of Economics, University of Trento, Italia.
    4. Monira Essa Aloud, 2016. "Profitability of Directional Change Based Trading Strategies: The Case of Saudi Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 87-95.
    5. Ryuichi Yamamoto, 2015. "Dynamic predictor selection and order splitting in a limit order market," Working Papers 1514, Waseda University, Faculty of Political Science and Economics.
    6. Pyo, Dong-Jin, 2015. "Animal spirits and stock market dynamics," ISU General Staff Papers 201501010800005596, Iowa State University, Department of Economics.
    7. Diks, Cees & Hommes, Cars & Zeppini, Paolo, 2013. "More memory under evolutionary learning may lead to chaos," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 808-812.
    8. Agliari, Anna & Naimzada, Ahmad & Pecora, Nicolò, 2017. "Dynamic effects of memory in a cobweb model with competing technologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 340-350.
    9. Rianne Duinen & Tatiana Filatova & Wander Jager & Anne Veen, 2016. "Going beyond perfect rationality: drought risk, economic choices and the influence of social networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 335-369, November.
    10. Shu-Heng Chen & Chung-Chih Liao & Pei-Jung Chou, 2008. "On the plausibility of sunspot equilibria," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 3(1), pages 25-41, June.
    11. Diks, Cees & van der Weide, Roy, 2005. "Herding, a-synchronous updating and heterogeneity in memory in a CBS," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 741-763, April.
    12. Michael Brandt, Qi Zeng and Lu Zhang, 2001. "Equilibrium Stock Return Dynamics Under Alternative Rules of Learning About Hidden States," Computing in Economics and Finance 2001 41, Society for Computational Economics.
    13. Kinda Hachem & Jing Cynthia Wu, 2017. "Inflation Announcements and Social Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(8), pages 1673-1713, December.
    14. 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.
    15. Leonardo dos Santos Pinheiro & Flavio Codeco COelho, 2017. "An Agent-based Model of Contagion in Financial Networks," Papers 1703.07513, arXiv.org.
    16. Raquel Almeida Ramos & Federico Bassi & Dany Lang, 2020. "Bet against the trend and cash in profits," FMM Working Paper 60-2020, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    17. 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.
    18. 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.
    19. Ryuichi YAMAMOTO, 2005. "Evolution with Individual and Social Learning in an Agent-Based Stock Market," Computing in Economics and Finance 2005 228, Society for Computational Economics.
    20. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.
    21. Hommes, C.H. & Kiseleva, T. & Kuznetsov, Y. & Verbic, M., 2009. "Is more memory in evolutionary selection (de)stabilizing?," CeNDEF Working Papers 09-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    22. Brian Tivnan & Matthew Koehler & Matthew McMahon & Matthew Olson & Neal Rothleder & Rajani Shenoy, 2011. "Adding to the Regulator's Toolbox: Integration and Extension of Two Leading Market Models," Papers 1105.5439, arXiv.org.
    23. 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.
    24. Harald A. Benink & Jose Luis Gordillo & Juan Pablo Pardo & Christopher R. Stephens, 2004. "A Study of Neo-Austrian Economics using an Artificial Stock Market," Finance 0411038, University Library of Munich, Germany.
    25. Jasmina Hasanhodzic & Andrew Lo & Emanuele Viola, 2011. "A computational view of market efficiency," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 1043-1050.
    26. Georges, Christophre, 2008. "Staggered updating in an artificial financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2809-2825, September.
    27. 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.
    28. 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.
    29. 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.
    30. Gaunersdorfer, A. & Hommes, C.H. & Wagener, F.O.O., 2003. "Bifurcation Routes to Volatility Clustering under Evolutionary Learning," CeNDEF Working Papers 03-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    31. Westerhoff, Frank H., 2004. "Multiasset Market Dynamics," Macroeconomic Dynamics, Cambridge University Press, vol. 8(5), pages 596-616, November.
    32. 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.
    33. Andreea B. Dragut, 2012. "Stock Data Clustering and Multiscale Trend Detection," Methodology and Computing in Applied Probability, Springer, vol. 14(1), pages 87-105, March.
    34. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.
    35. 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.
    36. Chen, Shu-Heng & Gostoli, Umberto, 2013. "Coordination in the El Farol Bar problem: The role of social preferences and social networks," Economics Discussion Papers 2013-20, Kiel Institute for the World Economy (IfW Kiel).
    37. Subbotin, Alexandre, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
    38. 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.
    39. Robert Axtell, 2007. "What economic agents do: How cognition and interaction lead to emergence and complexity," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 20(2), pages 105-122, September.
    40. 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.
    41. Benink, Harald A. & Gordillo, José Luis & Pardo, Juan Pablo & Stephens, Christopher R., 2010. "Market efficiency and learning in an artificial stock market: A perspective from Neo-Austrian economics," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 668-688, September.
    42. Blake LeBaron, 2010. "Heterogeneous Gain Learning and Long Swings in Asset Prices," Working Papers 10, Brandeis University, Department of Economics and International Business School.
    43. 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.
    44. 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.
    45. Ya-Chi Huang & Chueh-Yung Tsao, 2018. "Evolutionary Frequency and Forecasting Accuracy: Simulations Based on an Agent-Based Artificial Stock Market," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 79-104, June.
    46. 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.
    47. 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.
    48. Liu, Li & Pan, Zhiyuan, 2020. "Forecasting stock market volatility: The role of technical variables," Economic Modelling, Elsevier, vol. 84(C), pages 55-65.

  8. Andrew Lo & Nicholas Chan & Blake LeBaron & Tomaso Poggio, 1999. "Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders," Computing in Economics and Finance 1999 653, Society for Computational Economics.

    Cited by:

    1. Shu-Heng Chan & Shu G. Wang, 2010. "Emergent Complexity in Agent-Based Computational Economics," ASSRU Discussion Papers 1017, ASSRU - Algorithmic Social Science Research Unit.
    2. Shu‐Heng Chen & Shu G. Wang, 2011. "Emergent Complexity In Agent‐Based Computational Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(3), pages 527-546, July.

  9. Arthur, W.B. & LeBaron, B. & Palmer, R., 1997. "Time Series Properties of an Artificial Stock Market," Working papers 9725, Wisconsin Madison - Social Systems.

    Cited by:

    1. Thorsten Hens & Klaus Reiner Schenk-Hoppé, 2002. "Markets Do Not Select For a Liquidity Preference as Behavior Towards Risk," Discussion Papers 02-18, University of Copenhagen. Department of Economics.
    2. 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.
    3. Ehrentreich, Norman, 2006. "Technical trading in the Santa Fe Institute Artificial Stock Market revisited," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 599-616, December.
    4. C. H. Hommes, 2001. "Financial markets as nonlinear adaptive evolutionary systems," Quantitative Finance, Taylor & Francis Journals, vol. 1(1), pages 149-167.
    5. Kamaladdin Fataliyev & Aneesh Chivukula & Mukesh Prasad & Wei Liu, 2021. "Stock Market Analysis with Text Data: A Review," Papers 2106.12985, arXiv.org, revised Jul 2021.
    6. 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.
    7. Thorsten Hens & Klaus Reiner Schenk-Hopp� & Martin Stalder, "undated". "An Application of Evolutionary Finance to Firms Listed in the Swiss Market Index," IEW - Working Papers 128, Institute for Empirical Research in Economics - University of Zurich.
    8. Mario A Bertella & Felipe R Pires & Ling Feng & Harry Eugene Stanley, 2014. "Confidence and the Stock Market: An Agent-Based Approach," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
    9. Taisei Kaizoji, 2003. "Speculative bubbles and fat tail phenomena in a heterogeneous agent model," Papers nlin/0312040, arXiv.org.
    10. Goldbaum, David & Mizrach, Bruce, 2008. "Estimating the intensity of choice in a dynamic mutual fund allocation decision," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3866-3876, December.
    11. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    12. Siddiqi, Hammad, 2007. "Rational Interacting Agents and Volatility Clustering: A New Approach," MPRA Paper 2984, University Library of Munich, Germany.
    13. Ulrich Horst & Jan Wezelburger, 2006. "Non-ergodic Behavior in a Financial Market with Interacting Investors," 2006 Meeting Papers 229, Society for Economic Dynamics.
    14. Jan Wenzelburger & Volker Boehm, 2004. "On the performance of efficient portfolios," Computing in Economics and Finance 2004 197, Society for Computational Economics.
    15. 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.
    16. 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.
    17. Hau, Harald, 2000. "Real Exchange Rate Volatility and Economic Openness: Theory and Evidence," CEPR Discussion Papers 2356, C.E.P.R. Discussion Papers.
    18. 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.
    19. Scott C. Linn & Nicholas S. P. Tay, 2007. "Complexity and the Character of Stock Returns: Empirical Evidence and a Model of Asset Prices Based on Complex Investor Learning," Management Science, INFORMS, vol. 53(7), pages 1165-1180, July.
    20. Viktor Manahov & Mona Soufian & Robert Hudson, 2014. "The Implications Of Trader Cognitive Abilities On Stock Market Properties," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(1), pages 1-18, January.
    21. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    22. 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.
    23. Christian Peretti, 2007. "Long Memory and Hysteresis," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 363-389, Springer.
    24. 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.
    25. Daniela Federici & Giancarlo Gandolfo, 2011. "The Euro/Dollar Exchange Rate: Chaotic or Non-Chaotic?," DEGIT Conference Papers c016_035, DEGIT, Dynamics, Economic Growth, and International Trade.
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  14. Blake LeBaron & Andreas S. Weigend, 1994. "Evaluating Neural Network Predictors by Bootstrapping," Finance 9411002, University Library of Munich, Germany.

    Cited by:

    1. Peter Buhlmann, 1998. "Extreme events from the return-volume process: a discretization approach for complexity reduction," Applied Financial Economics, Taylor & Francis Journals, vol. 8(3), pages 267-278.
    2. D. Guegan & L. Mercier, 2005. "Prediction in chaotic time series: methods and comparisons with an application to financial intra-day data," The European Journal of Finance, Taylor & Francis Journals, vol. 11(2), pages 137-150.
    3. Estanislao Arana & Pedro Delicado & Luis Martí, 1999. "Validation procedures in radiological diagnostic models. Neural network and logistic regression," Economics Working Papers 414, Department of Economics and Business, Universitat Pompeu Fabra.

  15. Blake LeBaron, 1994. "Chaos and Nonlinear Forecastability in Economics and Finance," Finance 9411001, University Library of Munich, Germany.

    Cited by:

    1. Sergio Da Silva, 2004. "The Dornbusch Model with Chaos and Foreign Exchange Intervention," International Finance 0405017, University Library of Munich, Germany.
    2. Barkley Rosser, J. Jr., 2001. "Complex ecologic-economic dynamics and environmental policy," Ecological Economics, Elsevier, vol. 37(1), pages 23-37, April.
    3. Ahmed, Ehsan & Barkley Rosser, J. Jr. & Uppal, Jamshed Y., 1999. "Evidence of nonlinear speculative bubbles in pacific-rim stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(1), pages 21-36.
    4. Risso, Wiston Adrián, 2008. "The informational efficiency and the financial crashes," Research in International Business and Finance, Elsevier, vol. 22(3), pages 396-408, September.
    5. Brock, William A. & de Fontnouvelle, Patrick, 2000. "Expectational diversity in monetary economies," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 725-759, June.
    6. Marisa Faggini & Bruna Bruno & Anna Parziale, 2019. "Does Chaos Matter in Financial Time Series Analysis?," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 18-24.
    7. Vitaliy Vandrovych, 2005. "Study of Nonlinearities in the Dynamics of Exchange Rates: Is There Any Evidence of Chaos?," Computing in Economics and Finance 2005 234, Society for Computational Economics.
    8. Leonidov, Andrei & Trainin, Vladimir & Zaitsev, Alexander & Zaitsev, Sergey, 2007. "Market mill dependence pattern in the stock market: Modeling of predictability and asymmetry via multi-component conditional distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(1), pages 240-252.
    9. Brock, W.A. & Hommes, C.H., 1997. "Models of Compelxity in Economics and Finance," Working papers 9706, Wisconsin Madison - Social Systems.
    10. Small Michael & Tse Chi K., 2003. "Determinism in Financial Time Series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(3), pages 1-31, October.
    11. Sergio Da Silva, 2001. "Chaotic Exchange Rate Dynamics Redux," Open Economies Review, Springer, vol. 12(3), pages 281-304, July.
    12. Yu, Wenhua & Yang, Kun & Wei, Yu & Lei, Likun, 2018. "Measuring Value-at-Risk and Expected Shortfall of crude oil portfolio using extreme value theory and vine copula," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1423-1433.
    13. Carolina Castaldi & Giovanni Dosi, 2003. "The Grip of History and the Scope for Novelty: Some Results and Open Questions on Path Dependence in Economic Processes," LEM Papers Series 2003/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    14. Ren, Lujie & Mou, Jun & Banerjee, Santo & Zhang, Yushu, 2023. "A hyperchaotic map with a new discrete memristor model: Design, dynamical analysis, implementation and application," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    15. Djogbenou, Antoine & Inan, Emre & Jasiak, Joann, 2023. "Time-varying coefficient DAR model and stability measures for stablecoin prices: An application to Tether," Journal of International Money and Finance, Elsevier, vol. 139(C).
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    17. Sandubete, Julio E. & Escot, Lorenzo, 2020. "Chaotic signals inside some tick-by-tick financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
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    19. Ruiz Estrada, Mario Arturo & Koutronas, Evangelos, 2016. "Terrorist attack assessment: Paris November 2015 and Brussels March 2016," Journal of Policy Modeling, Elsevier, vol. 38(3), pages 553-571.
    20. Rosser, J. Jr. & Ahmed, Ehsan & Hartmann, Georg C., 2003. "Volatility via social flaring," Journal of Economic Behavior & Organization, Elsevier, vol. 50(1), pages 77-87, January.
    21. Estrada, Mario Arturo Ruiz & Koutronas, Evangelos, 2022. "The impact of the Russian Aggression against Ukraine on the Russia-EU Trade," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 599-616.
    22. Lucía Inglada-Pérez & Pablo Coto-Millán, 2021. "A Chaos Analysis of the Dry Bulk Shipping Market," Mathematics, MDPI, vol. 9(17), pages 1-35, August.
    23. Leopoldo S'anchez-Cant'u & Carlos Arturo Soto-Campos & Andriy Kryvko, 2016. "Evidence of Self-Organization in Time Series of Capital Markets," Papers 1604.03996, arXiv.org, revised Mar 2017.
    24. Jos'e Pedro Gaiv~ao & Benito Pires, 2022. "Chaotic time series in financial processes consisting of savings with piecewise constant monthly contributions," Papers 2206.11933, arXiv.org, revised Feb 2023.
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    29. Barkoulas, John T. & Chakraborty, Atreya & Ouandlous, Arav, 2012. "A metric and topological analysis of determinism in the crude oil spot market," Energy Economics, Elsevier, vol. 34(2), pages 584-591.
    30. Faggini, Marisa, 2010. "Chaos detection in economics. Metric versus topological tools," MPRA Paper 30928, University Library of Munich, Germany.

  16. Blake LeBaron, 1994. "Technical Trading Rule Profitability and Foreign Exchange Intervention," International Finance 9411002, University Library of Munich, Germany.

    Cited by:

    1. Serban, Alina F., 2010. "Combining mean reversion and momentum trading strategies in foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2720-2727, November.
    2. Yamani, Ehab, 2019. "Diversification role of currency momentum for carry trade: Evidence from financial crises," Journal of Multinational Financial Management, Elsevier, vol. 49(C), pages 1-19.
    3. Juan José Echavarría & Luis Fernando Melo Velandia & Santiago Téllez & Mauricio Villamizar, 2013. "The Impact of Pre-announced Day-to-day Interventions on the Colombian Exchange Rate," Borradores de Economia 10767, Banco de la Republica.
    4. Sweeney, R. J., 2000. "Does the Fed beat the foreign-exchange market?," Journal of Banking & Finance, Elsevier, vol. 24(5), pages 665-694, May.
    5. 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.
    6. Jaehun Chung & Yongmiao Hong, 2007. "Model-free evaluation of directional predictability in foreign exchange markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 855-889.
    7. Sergio Da Silva, 2004. "The Dornbusch Model with Chaos and Foreign Exchange Intervention," International Finance 0405017, University Library of Munich, Germany.
    8. Petr Zeman, 2014. "Technical Trading and Testing of Intra-day Market Efficiency in the Foreign Exchange Market," Acta Universitatis Bohemiae Meridionales, University of South Bohemia in Ceske Budejovice, vol. 17(1), pages 3-13.
    9. Christopher J. Neely, 2005. "The case for foreign exchange intervention: the government as an active reserve manager," Working Papers 2004-031, Federal Reserve Bank of St. Louis.
    10. Westerhoff, Frank H., 2003. "Central bank intervention and feedback traders," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(5), pages 419-427, December.
    11. Ahrens, Ralf & Reitz, Stefan, 2003. "Heterogeneous Expectations in the Foreign Exchange Market Evidence from the Daily Dollar/DM Exchange Rate," CFS Working Paper Series 2003/11, Center for Financial Studies (CFS).
    12. Alain P. Chaboud & Owen F. Humpage, 2003. "An analysis of Japanese foreign exchange interventions, 1991-2002," Working Papers (Old Series) 0309, Federal Reserve Bank of Cleveland.
    13. Kim, Suk-Joong & Sheen, Jeffrey, 2004. "Central Bank Interventions in the Yen-Dollar Spot Market," Working Papers 4, University of Sydney, School of Economics.
    14. Iyke, Bernard Njindan & Phan, Dinh Hoang Bach & Narayan, Paresh Kumar, 2022. "Exchange rate return predictability in times of geopolitical risk," International Review of Financial Analysis, Elsevier, vol. 81(C).
    15. Taylor, Mark & Hsu, Po-Hsuan & Wang, Zigan, 2020. "The Out-of-Sample Performance of Carry Trades," CEPR Discussion Papers 15052, C.E.P.R. Discussion Papers.
    16. Saglam, Ismail, 2017. "Non-Sterilized Interventions May Yield Perverse Effects on Spot Foreign Exchange Rates," MPRA Paper 78284, University Library of Munich, Germany.
    17. Wong, Wing-Keung & Du, Jun & Chong, Terence Tai-Leung, 2005. "Do the technical indicators reward chartists? A study on the stock markets of China, Hong Kong and Taiwan," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 1(2), pages 1-23.
    18. Wang, Changyun, 2004. "Futures trading activity and predictable foreign exchange market movements," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1023-1041, May.
    19. Park, Cheol-Ho & Irwin, Scott H., 2005. "The Profitability of Technical Trading Rules in US Futures Markets: A Data Snooping Free Test," AgMAS Project Research Reports 14771, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    20. Neely, Christopher J. & Weller, Paul A., 2001. "Technical analysis and central bank intervention," Journal of International Money and Finance, Elsevier, vol. 20(7), pages 949-970, December.
    21. Stephan Schulmeister, 2005. "The Interaction between Technical Currency Trading and Exchange Rate Fluctuations," Finance 0512033, University Library of Munich, Germany.
    22. Reitz, Stefan, 2006. "On the predictive content of technical analysis," The North American Journal of Economics and Finance, Elsevier, vol. 17(2), pages 121-137, August.
    23. Narayan, Paresh Kumar & Sharma, Susan Sunila & Phan, Dinh Hoang Bach & Liu, Guangqiang, 2020. "Predicting exchange rate returns," Emerging Markets Review, Elsevier, vol. 42(C).
    24. Frömmel, Michael & Lampaert, Kevin, 2016. "Does frequency matter for intraday technical trading?," Finance Research Letters, Elsevier, vol. 18(C), pages 177-183.
    25. Schulmeister, Stephan, 2009. "Profitability of technical stock trading: Has it moved from daily to intraday data?," Review of Financial Economics, Elsevier, vol. 18(4), pages 190-201, October.
    26. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    27. Gardini, Laura & Radi, Davide & Schmitt, Noemi & Sushko, Iryna & Westerhoff, Frank, 2022. "Currency manipulation and currency wars: Analyzing the dynamics of competitive central bank interventions," Journal of Economic Dynamics and Control, Elsevier, vol. 145(C).
    28. Osman Kilic & Joseph M. Marks & Kiseok Nam, 2022. "Predictable asset price dynamics, risk-return tradeoff, and investor behavior," Review of Quantitative Finance and Accounting, Springer, vol. 59(2), pages 749-791, August.
    29. Andres Felipe Garcia-Suaza & Jose Eduardo Gómez, 2011. "A Simple Test of Momentum in Foreign Exchange Markets," Borradores de Economia 8230, Banco de la Republica.
    30. Young-Kyu Moh & Nelson C. Mark, 2004. "Official Interventions and Occasional Violations of Uncovered Interest Parity in the Dollar-DM Market," Econometric Society 2004 Far Eastern Meetings 762, Econometric Society.
    31. Suk-Joong Kim & Jeffrey Sheen, 2018. "The Determinants of Foreign Exchange Intervention by Central Banks: Evidence from Australia," World Scientific Book Chapters, in: Information Spillovers and Market Integration in International Finance Empirical Analyses, chapter 1, pages 3-41, World Scientific Publishing Co. Pte. Ltd..
    32. Ueli Mettler & Markus Thöny & Hansjörg Schmidt, 2010. "Carry and trend strategies in FX markets," Journal of Asset Management, Palgrave Macmillan, vol. 11(5), pages 321-331, December.
    33. Erdemlioglu, Deniz & Petitjean, Mikael & Vargas, Nicolas, 2021. "Market Instability and Technical Trading at High Frequency: Evidence from NASDAQ Stocks," LIDAM Reprints LFIN 2021016, Université catholique de Louvain, Louvain Finance (LFIN).
    34. Dominguez, Kathryn M.E., 2006. "When do central bank interventions influence intra-daily and longer-term exchange rate movements?," Journal of International Money and Finance, Elsevier, vol. 25(7), pages 1051-1071, November.
    35. Dominguez, Kathryn M. E., 2003. "The market microstructure of central bank intervention," Journal of International Economics, Elsevier, vol. 59(1), pages 25-45, January.
    36. Andreas Hadjixenophontos & Christos Christodoulou-Volos, 2017. "Predictability of Foreign Exchange Rates with the AR(1) Model," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(4), pages 1-3.
    37. Smita Roy Trivedi, 2020. "The Moses effect: can central banks really guide foreign exchange markets?," Empirical Economics, Springer, vol. 58(6), pages 2837-2865, June.
    38. Tajaddini, Reza & Crack, Timothy Falcon, 2012. "Do momentum-based trading strategies work in emerging currency markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 521-537.
    39. Bernd Lucke, 2003. "Are technical trading rules profitable? Evidence for head-and-shoulder rules," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 33-40.
    40. Gregory Gagnon, 2019. "Vanishing central bank intervention in stochastic impulse control," Annals of Finance, Springer, vol. 15(1), pages 125-153, March.
    41. Chen, Bin & Hong, Yongmiao, 2012. "Testing For The Markov Property In Time Series," Econometric Theory, Cambridge University Press, vol. 28(1), pages 130-178, February.
    42. Diks, Cees & van der Weide, Roy, 2005. "Herding, a-synchronous updating and heterogeneity in memory in a CBS," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 741-763, April.
    43. Bhattacharya, Utpal & Weller, Paul, 1992. "The Advantage to Hiding One's Hand: Speculation and Central Bank Intervention in the Foreign Exchange Market," CEPR Discussion Papers 737, C.E.P.R. Discussion Papers.
    44. Zhu, Yingzi & Zhou, Guofu, 2009. "Technical analysis: An asset allocation perspective on the use of moving averages," Journal of Financial Economics, Elsevier, vol. 92(3), pages 519-544, June.
    45. Smita Roy Trivedi, 2022. "Technical analysis using Heiken Ashi Stochastic: To catch a trend, use a HASTOC," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1836-1847, April.
    46. Michael D. Bordo & Owen F. Humpage & Anna J. Schwartz, 2009. "A brief empirical history of U.S. foreign-exchange intervention: 1973-1995," Working Papers (Old Series) 0903, Federal Reserve Bank of Cleveland.
    47. Simatele, Munacinga & Sjö, Bo & Sweeny, Richard, 2016. "Do Developing Countries Lose Money on Central Bank Intervention? The Case of Zambia in Copper-Market Boom and Bust," LiU Working Papers in Economics 2, Linköping University, Division of Economics, Department of Management and Engineering.
    48. Sharifkhani, Ali & Simutin, Mikhail, 2021. "Feedback loops in industry trade networks and the term structure of momentum profits," Journal of Financial Economics, Elsevier, vol. 141(3), pages 1171-1187.
    49. Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero & Julián Andrada-Félix, "undated". "Nearest-Neighbour Predictions in Foreign Exchange Markets," Working Papers 2002-05, FEDEA.
    50. Carol L. Osler, 2001. "Currency orders and exchange-rate dynamics: explaining the success of technical analysis," Staff Reports 125, Federal Reserve Bank of New York.
    51. Bertrand Maillet & Thierry Michel, 2005. "Technical analysis profitability when exchange rates are pegged: A note," The European Journal of Finance, Taylor & Francis Journals, vol. 11(6), pages 463-470.
    52. Piti Disyatat & Gabriele Galati, 2005. "The effectiveness of foreign exchange intervention in emerging market countries," BIS Papers chapters, in: Bank for International Settlements (ed.), Foreign exchange market intervention in emerging markets: motives, techniques and implications, volume 24, pages 97-113, Bank for International Settlements.
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    65. Matthew Famiglietti & Yuliya Ivanova & Christopher J. Neely & Paul A. Weller, 2014. "Can risk explain the profitability of technical trading in currency markets?," Working Papers 2014-033, Federal Reserve Bank of St. Louis, revised 12 Jun 2020.
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    19. Fernando Fernández-Rodríguez & Christian González-Martel* & Simón Sosvilla-Rivero, "undated". "On the profitability of technical trading rules based on arifitial neural networks : evidence from the Madrid stock market," Working Papers 99-07, FEDEA.
    20. Michael J. Dueker & Christopher J. Neely, 2006. "Can Markov switching models predict excess foreign exchange returns?," Working Papers 2001-021, Federal Reserve Bank of St. Louis.
    21. Alessandro Beber, 1999. "Il dibattito su dignità ed efficacia dell'analisi tecnica nell'economia finanziaria," Alea Tech Reports 003, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.

  18. LeBaron, B., 1992. "Persistence of the Dow Jones Index on Rising Volume," Working papers 9201, Wisconsin Madison - Social Systems.

    Cited by:

    1. Tut, DANIEL, 2024. "Bitcoin, speculative sentiments and crypto-assets valuation," MPRA Paper 120866, University Library of Munich, Germany.
    2. Wang, Jiang & Grossman, Sanford & Campbell, John, 1993. "Trading Volume and Serial Correlation in Stock Returns," Scholarly Articles 3128710, Harvard University Department of Economics.
    3. Covrig, Vicentiu & Ng, Lilian, 2004. "Volume autocorrelation, information, and investor trading," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2155-2174, September.
    4. Germán G. Creamer & Tal Ben-Zvi, 2021. "Volatility and Risk in the Energy Market: A Trade Network Approach," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    5. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    6. Wang, Jiang, 1959- & He, Hua., 1994. "Differential information and dynamic behavior of stock trading volume," Working papers 3731-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    7. Serge Darolles & Gaëlle Le Fol & Gulten Mero, 2015. "Measuring the Liquidity Part of Volume," Post-Print hal-01632766, HAL.
    8. Po-Hsuan Hsu & Chung-Ming Kuan, 2004. "Re-Examining the Profitability of Technical Analysis with White’s Reality Check," IEAS Working Paper : academic research 04-A003, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    9. Kausik Chaudhuri & Alok Kumar, 2015. "A Markov-Switching Model for Indian Stock Price and Volume," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(3), pages 239-257, December.
    10. Serge Darolles & Gaëlle Le Fol, 2014. "Trading volume and Arbitrage," Post-Print hal-01632841, HAL.
    11. Eric Ghysels & João Pereira, 2003. "On Portfolio Choice, Liquidity, and Short Selling: A Nonparametric Investigation," CIRANO Working Papers 2003s-27, CIRANO.
    12. Thomas Hellström & Kenneth Holmström, 2000. "The relevance of trends for predictions of stock returns," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(1), pages 23-34, March.
    13. Bertrand Maillet & Thierry Michel, 2000. "Further Insights on the Puzzle of Technical Analysis Profitability," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00308986, HAL.
    14. Cetin Ciner, 2003. "Dynamic Linkages Between Trading Volume and Price Movements: Evidence for Small Firm Stocks," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 8(1), pages 87-102, Spring.
    15. Lin, Wen-Ling, 1995. "Market closure and predictability of intradaily stock returns in the United States and Japan," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 19-44, March.
    16. Rashid, Abdul, 2007. "Stock prices and trading volume: An assessment for linear and nonlinear Granger causality," Journal of Asian Economics, Elsevier, vol. 18(4), pages 595-612, August.
    17. Andrew W. Lo & Jiang Wang, 2001. "Trading Volume: Implications of An Intertemporal Capital Asset Pricing Model," NBER Working Papers 8565, National Bureau of Economic Research, Inc.
    18. Jiang Wang, 2002. "Trading Volume and Asset Prices," Annals of Economics and Finance, Society for AEF, vol. 3(2), pages 299-359, November.
    19. Kramer, Charles, 1999. "Noise trading, transaction costs, and the relationship of stock returns and trading volume," International Review of Economics & Finance, Elsevier, vol. 8(4), pages 343-362, November.
    20. Chae, Joon & Kang, Mhin, 2019. "Low-volume return premium in the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    21. Tomasz Wójtowicz, 2017. "High-volume return premium on the stock markets in Warsaw and Vienna," Bank i Kredyt, Narodowy Bank Polski, vol. 48(4), pages 375-402.
    22. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    23. Tauchen, George & Zhang, Harold & Liu, Ming, 1996. "Volume, volatility, and leverage: A dynamic analysis," Journal of Econometrics, Elsevier, vol. 74(1), pages 177-208, September.

  19. LeBaron, B., 1991. "Forecast Improvements Using A Volatility Index," Working papers 9105, Wisconsin Madison - Social Systems.

    Cited by:

    1. Nikolaou, Kleopatra, 2008. "The behaviour of the real exchange rate: Evidence from regression quantiles," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 664-679, May.
    2. Kleopatra Nikolaou, 2007. "The behaviour of the real exchange rate: Evidence from regression quantiles," Money Macro and Finance (MMF) Research Group Conference 2006 46, Money Macro and Finance Research Group.
    3. Dhekra Azouzi & Rohit Vishal Kumar & Chaker Aloui, 2011. "Forward Rate Unbiasedness Hypothesis in the Tunisian Exchange Rate Market," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 1(2), pages 17-44, July.
    4. Preminger, Arie & Franck, Raphael, 2007. "Forecasting exchange rates: A robust regression approach," International Journal of Forecasting, Elsevier, vol. 23(1), pages 71-84.
    5. Sarantis, Nicholas, 2001. "Nonlinearities, cyclical behaviour and predictability in stock markets: international evidence," International Journal of Forecasting, Elsevier, vol. 17(3), pages 459-482.
    6. Sarno, Lucio & Wohar, Mark, 2003. "Monetary Fundamentals and Exchange Rate Dynamics Under Different Nominal Regimes," Computing in Economics and Finance 2003 310, Society for Computational Economics.
    7. Richard Clarida & Lucio Sarno & Mark Taylor & Giorgio Valente, 2001. "The Out-of-Sample Success of Term Structure Models as Exchange Rate Predictors: A Step Beyond," NBER Working Papers 8601, National Bureau of Economic Research, Inc.
    8. Bertrand Maillet & Thierry Michel, 2000. "Further Insights on the Puzzle of Technical Analysis Profitability," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00308986, HAL.
    9. LeBaron, B., 1991. "Technical Trading Rules and Regime Shifts in Foreign Exchange," Working papers 9118, Wisconsin Madison - Social Systems.
    10. Gencay, Ramazan, 1999. "Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules," Journal of International Economics, Elsevier, vol. 47(1), pages 91-107, February.
    11. Sarno, Lucio & Valente, Giorgio, 2005. "Empirical exchange rate models and currency risk: some evidence from density forecasts," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 363-385, March.
    12. Theodore Panagiotidis, 2010. "An out-of-sample test for nonlinearity in financial time series: An empirical application," Discussion Paper Series 2010_08, Department of Economics, University of Macedonia, revised Jun 2010.
    13. Luke Lin & Chun I. Lee, 2016. "Central Bank Intervention, Exchange Rate Regime and the Purchasing Power Parity," The World Economy, Wiley Blackwell, vol. 39(8), pages 1256-1274, August.
    14. Jaditz Ted & Riddick Leigh A., 2000. "Time-Series Near-Neighbor Regression," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(1), pages 1-11, April.
    15. Anatolyev, Stanislav, 2008. "A 10-year retrospective on the determinants of Russian stock returns," Research in International Business and Finance, Elsevier, vol. 22(1), pages 56-67, January.
    16. Nam, Kiseok & Pyun, Chong Soo & Avard, Stephen L., 2001. "Asymmetric reverting behavior of short-horizon stock returns: An evidence of stock market overreaction," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 807-824, April.
    17. Sarno, Lucio & Giorgio Valente, 2002. "Modelling and Forecasting Stock Returns: Exploiting the Futures Market, Regime Shifts and International Spillovers," Royal Economic Society Annual Conference 2002 160, Royal Economic Society.
    18. Sarno, Lucio & Valente, Giorgio, 2006. "Deviations from purchasing power parity under different exchange rate regimes: Do they revert and, if so, how?," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3147-3169, November.
    19. Tauchen, George & Zhang, Harold & Liu, Ming, 1996. "Volume, volatility, and leverage: A dynamic analysis," Journal of Econometrics, Elsevier, vol. 74(1), pages 177-208, September.
    20. Meade, Nigel, 2002. "A comparison of the accuracy of short term foreign exchange forecasting methods," International Journal of Forecasting, Elsevier, vol. 18(1), pages 67-83.
    21. Lucio Sarno, 2003. "Nonlinear Exchange Rate Models: A Selective Overview," Rivista di Politica Economica, SIPI Spa, vol. 93(4), pages 3-46, July-Augu.
    22. Nikolaou, Kleopatra, 2006. "The behaviour of the real exchange rate: evidence from regression quantiles," Working Paper Series 667, European Central Bank.

  20. LeBaron, B., 1991. "Empirical Evidence for Nonlinearities and Chaos in Economic Time Series: A Summary of Recent Results," Working papers 9117, Wisconsin Madison - Social Systems.

    Cited by:

    1. Cecen, A. Aydin & Erkal, Cahit, 1996. "Distinguishing between stochastic and deterministic behavior in high frequency foreign exchange rate returns: Can non-linear dynamics help forecasting?," International Journal of Forecasting, Elsevier, vol. 12(4), pages 465-473, December.
    2. James B. Bullard & Alison Butler, 1992. "Nonlinearity and chaos in economic models: implications for policy decisions," Working Papers 1991-002, Federal Reserve Bank of St. Louis.
    3. Nasir M. Khilji, 1994. "Nonlinear Dynamics and Chaos: Application to Financial Markets in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 33(4), pages 1417-1429.
    4. Aydin Cecen, A. & Erkal, Cahit, 1996. "Distinguishing between stochastic and deterministic behavior in foreign exchange rate returns: Further evidence," Economics Letters, Elsevier, vol. 51(3), pages 323-329, June.

  21. LeBaron, B., 1991. "Transactions Costs and Correlations in a Large Firm Index," Working papers 9126, Wisconsin Madison - Social Systems.

    Cited by:

    1. Kramer, Charles, 1999. "Noise trading, transaction costs, and the relationship of stock returns and trading volume," International Review of Economics & Finance, Elsevier, vol. 8(4), pages 343-362, November.

  22. Brock, W. & Lakonishok, J. & Lebaron, B., 1991. "Simple Technical Trading Rules And The Stochastic Properties Of Stock Returns," Working papers 90-22, Wisconsin Madison - Social Systems.

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    1. Malliaropulos, Dimitrios & Priestley, Richard, 1999. "Mean reversion in Southeast Asian stock markets," Journal of Empirical Finance, Elsevier, vol. 6(4), pages 355-384, October.
    2. Blanchet-Scalliet, Christophette & Diop, Awa & Gibson, Rajna & Talay, Denis & Tanre, Etienne, 2007. "Technical analysis compared to mathematical models based methods under parameters mis-specification," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1351-1373, May.
    3. Plantinga, Andrew J. & Provencher, Bill, 2001. "Internal Consistency In Models Of Optimal Resource Use Under Uncertainty," 2001 Annual meeting, August 5-8, Chicago, IL 20712, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. James J. Kung & Wing‐Keung Wong, 2009. "Efficiency Of The Taiwan Stock Market," The Japanese Economic Review, Japanese Economic Association, vol. 60(3), pages 389-394, September.
    5. Li-Xin Wang, 2014. "Dynamical Models of Stock Prices Based on Technical Trading Rules Part I: The Models," Papers 1401.1888, arXiv.org, revised Feb 2016.
    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. Kaucic, Massimiliano, 2010. "Investment using evolutionary learning methods and technical rules," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1717-1727, December.
    8. Montgomery, William & Raza, Ahmad & Ülkü, Numan, 2019. "Tests of technical trading rules and the 52-week high strategy in the corporate bond market," Global Finance Journal, Elsevier, vol. 40(C), pages 85-103.
    9. Vigfusson, Robert, 1997. "Switching between Chartists and Fundamentalists: A Markov Regime-Switching Approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(4), pages 291-305, October.
    10. Meifen Qian & Bin Yu & Qianyu Zhu, 2018. "Noise traders, firm-specific uncertainty and technical trading effectiveness," Applied Economics Letters, Taylor & Francis Journals, vol. 25(13), pages 918-923, July.
    11. Wang, Jying-Nan & Lee, Yen-Hsien & Liu, Hung-Chun & Lee, Ming-Chih, 2022. "The determinants of positive feedback trading behaviors in Bitcoin markets," Finance Research Letters, Elsevier, vol. 45(C).
    12. Ito, Akitoshi, 1999. "Profits on technical trading rules and time-varying expected returns: evidence from Pacific-Basin equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 7(3-4), pages 283-330, August.
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    16. Chen, Kuan-Hau & Su, Xuan-Qi & Lin, Li-Feng & Shih, Yi-Cheng, 2021. "Profitability of moving-average technical analysis over the firm life cycle: Evidence from Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
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  24. William A. Brock & Blake LeBaron, 1989. "Liquidity Constraints in Production Based Asset Pricing Models," NBER Working Papers 3107, National Bureau of Economic Research, Inc.

    Cited by:

    1. HOSONO Kaoru, 2009. "Financial Crisis, Firm Dynamics and Aggregate Productivity in Japan," Discussion papers 09012, Research Institute of Economy, Trade and Industry (RIETI).
    2. Calomiris, Charles W. & Love, Inessa & Martínez Pería, María Soledad, 2012. "Stock returns’ sensitivities to crisis shocks: Evidence from developed and emerging markets," Journal of International Money and Finance, Elsevier, vol. 31(4), pages 743-765.
    3. Simon van Norden & Huntley Schaller, 2002. "Fads or bubbles?," Empirical Economics, Springer, vol. 27(2), pages 335-362.
    4. Charles W. Calomiris, 1993. "Financial Factors in the Great Depression," Journal of Economic Perspectives, American Economic Association, vol. 7(2), pages 61-85, Spring.
    5. Olson, Lars J., 1995. "Dynamic Economic Models with Uncertainty and Irreversibility: Methods and Applications," Working Papers 197822, University of Maryland, Department of Agricultural and Resource Economics.
    6. Simon van Norden & Huntley Schaller & ), 1995. "Speculative Behaviour, Regime-Switching, and Stock Market Crashes," Econometrics 9502003, University Library of Munich, Germany.
    7. Charles W. Calomiris & Inessa Love & Maria Soledad Martinez Peria, 2010. "Crisis "Shock Factors" and the Cross-Section of Global Equity Returns," NBER Working Papers 16559, National Bureau of Economic Research, Inc.
    8. Alan J. Marcus, 1989. "An Equilibrium Theory of Excess Volatility and Mean Reversion in Stock Market Prices," NBER Working Papers 3106, National Bureau of Economic Research, Inc.

  25. Blake LeBaron, "undated". "The Joint Dynamics and Stability of Stock Prices and Volume," Working papers _004, University of Wisconsin - Madison.

    Cited by:

    1. Blake LeBaron, 1994. "Chaos and Nonlinear Forecastability in Economics and Finance," Finance 9411001, University Library of Munich, Germany.

  26. Blake LeBaron, "undated". "Technical Trading Rules and Regime Shifts in Foreign Exchange," Working papers _007, University of Wisconsin - Madison.

    Cited by:

    1. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    2. Bernd Lucke, 2003. "Are technical trading rules profitable? Evidence for head-and-shoulder rules," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 33-40.
    3. J. Doyne Farmer, 1999. "Market Force, Ecology, and Evolution," Computing in Economics and Finance 1999 651, Society for Computational Economics.
    4. LeBaron, B., 1996. "Technical Trading Rule Profitability and Foreing Exchange Intervention," Working papers 9445r, Wisconsin Madison - Social Systems.
    5. Bill Cai & Charlie Cai & Kevin Keasey, 2005. "Market Efficiency and Returns to Simple Technical Trading Rules: Further Evidence from U.S., U.K., Asian and Chinese Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(1), pages 45-60, March.
    6. Gencay, Ramazan & Dacorogna, Michel & Olsen, Richard & Pictet, Olivier, 2003. "Foreign exchange trading models and market behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 909-935, April.
    7. Ronald J. Balvers & Yangru Wu, 2005. "Optimal Transaction Filters Under Transitory Trading Opportunities: Theory and Empirical Illustration," Working Papers 022005, Hong Kong Institute for Monetary Research.
    8. Spyros Skouras, 1998. "Financial Returns and Efficiency as seen by an Artificial Technical Analyst," Finance 9808001, University Library of Munich, Germany, revised 24 Aug 1998.
    9. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
    10. Kwon, Ki-Yeol & Kish, Richard J., 2002. "A comparative study of technical trading strategies and return predictability: an extension of Brock, Lakonishok, and LeBaron (1992) using NYSE and NASDAQ indices," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(3), pages 611-631.
    11. Bong-Chan, Kho, 1996. "Time-varying risk premia, volatility, and technical trading rule profits: Evidence from foreign currency futures markets," Journal of Financial Economics, Elsevier, vol. 41(2), pages 249-290, June.
    12. LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
    13. Shareen Joshi & Jeffrey Parker & Mark A. Bedau, 1998. "Technical Trading Creates a Prisoner's Dilemma: Results from an Agent-Based Model," Research in Economics 98-12-115e, Santa Fe Institute.
    14. Gencay, Ramazan, 1999. "Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules," Journal of International Economics, Elsevier, vol. 47(1), pages 91-107, February.
    15. Jianqing Fan & Qiwei Yao & Zongwu Cai, 2003. "Adaptive varying‐coefficient linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 57-80, February.
    16. Frenkel Michael & Stadtmann Georg, 2004. "Trading Rule Profitability and Central Bank Interventions in the Dollar-Deutsch mark Market / Der Zusammenhang zwischen der Profitabilität einer technischen Handelsstrategie und Zentralbankinterventio," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(6), pages 653-672, December.
    17. Hans Dewachter, 1997. "Sign predictions of exchange rate changes: Charts as proxies for Bayesian inferences," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 133(1), pages 39-55, March.
    18. Ki-Yeol Kwon & Richard Kish, 2002. "Technical trading strategies and return predictability: NYSE," Applied Financial Economics, Taylor & Francis Journals, vol. 12(9), pages 639-653.
    19. Bokhari, Jawaad & Cai, Charlie & Hudson, Robert & Keasey, Kevin, 2005. "The predictive ability and profitability of technical trading rules: does company size matter?," Economics Letters, Elsevier, vol. 86(1), pages 21-27, January.
    20. Bekiros, Stelios D., 2015. "Heuristic learning in intraday trading under uncertainty," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 34-49.
    21. Saacke, Peter, 2002. "Technical analysis and the effectiveness of central bank intervention," Journal of International Money and Finance, Elsevier, vol. 21(4), pages 459-479, August.
    22. P. Lequeux & E. Acar, 1998. "A dynamic index for managed currencies funds using CME currency contracts," The European Journal of Finance, Taylor & Francis Journals, vol. 4(4), pages 311-330.
    23. Senteney, David L. & Bazaz, Mohammad S. & Senteney, Michael H., 2016. "Cross-market information transfers of ADR firms: An investigation of emerging market economies," Research in International Business and Finance, Elsevier, vol. 37(C), pages 655-677.
    24. Blake LeBaron, 1994. "Chaos and Nonlinear Forecastability in Economics and Finance," Finance 9411001, University Library of Munich, Germany.
    25. Andreea Röthig & Andreas Röthig & Carl Chiarella, 2015. "On Candlestick-based Trading Rules Profitability Analysis via Parametric Bootstraps and Multivariate Pair-Copula based Models," Research Paper Series 362, Quantitative Finance Research Centre, University of Technology, Sydney.
    26. Emmanuel Acar & Stephen Satchell, 1997. "A theoretical analysis of trading rules: an application to the moving average case with Markovian returns," Applied Mathematical Finance, Taylor & Francis Journals, vol. 4(3), pages 165-180.
    27. B. Adrangi & A. Chatrath, 2003. "Non-linear dynamics in futures prices: evidence from the coffee, sugar and cocoa exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 13(4), pages 245-256.
    28. Fernando Fernández-Rodríguez & Christian González-Martel* & Simón Sosvilla-Rivero, "undated". "On the profitability of technical trading rules based on arifitial neural networks : evidence from the Madrid stock market," Working Papers 99-07, FEDEA.
    29. Jing Yang, 1999. "Heterogeneous Beliefs, Intelligent Agents, and Allocative Efficiency in an Artificial Stock Market," Computing in Economics and Finance 1999 612, Society for Computational Economics.
    30. Canova, Fabio & Marrinan, Jane, 1995. "Predicting excess returns in financial markets," European Economic Review, Elsevier, vol. 39(1), pages 35-69, January.
    31. Dockery, Everton & Todorov, Ivan, 2023. "Further evidence on the returns to technical trading rules: Insights from fourteen currencies," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
    32. Alessandro Beber, 1999. "Il dibattito su dignità ed efficacia dell'analisi tecnica nell'economia finanziaria," Alea Tech Reports 003, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    33. Tabak, Benjamin M. & Lima, Eduardo J.A., 2009. "Market efficiency of Brazilian exchange rate: Evidence from variance ratio statistics and technical trading rules," European Journal of Operational Research, Elsevier, vol. 194(3), pages 814-820, May.

  27. Blake LeBaron, "undated". "Experiments in Evolutionary Finance," Working papers _001, University of Wisconsin - Madison.

    Cited by:

    1. Brock, William A. & de Fontnouvelle, Patrick, 2000. "Expectational diversity in monetary economies," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 725-759, June.
    2. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    3. Gaunersdorfer, Andrea, 2000. "Endogenous fluctuations in a simple asset pricing model with heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 799-831, June.
    4. Derveeuw, Julien, 2005. "Market dynamics and agents behaviors: a computational approach," MPRA Paper 4916, University Library of Munich, Germany.

  28. Blake LeBaron, "undated". "Do Moving Average Trading Rule Results Imply Nonlinearities in Foreign Exchange?," Working papers _005, University of Wisconsin - Madison.

    Cited by:

    1. Sam Nasypbek & Scheherazade S Rehman, 2011. "Explaining the returns of active currency managers," BIS Papers chapters, in: Bank for International Settlements (ed.), Portfolio and risk management for central banks and sovereign wealth funds, volume 58, pages 211-256, Bank for International Settlements.
    2. Hans Dewachter & Marco Lyrio, 2002. "The Economic Value of Technical Trading Rules: A Non-parametric Utility-based Approach," International Economics Working Papers Series ces0203, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, International Economics.
    3. Gencay, Ramazan & Dacorogna, Michel & Olsen, Richard & Pictet, Olivier, 2003. "Foreign exchange trading models and market behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 909-935, April.
    4. Ronald J. Balvers & Yangru Wu, 2005. "Optimal Transaction Filters Under Transitory Trading Opportunities: Theory and Empirical Illustration," Working Papers 022005, Hong Kong Institute for Monetary Research.
    5. Spyros Skouras, 1998. "Financial Returns and Efficiency as seen by an Artificial Technical Analyst," Finance 9808001, University Library of Munich, Germany, revised 24 Aug 1998.
    6. Bertrand Maillet & Thierry Michel, 2000. "Further Insights on the Puzzle of Technical Analysis Profitability," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00308986, HAL.
    7. Mark, Nelson C & Wu, Yangru, 1998. "Rethinking Deviations from Uncovered Interest Parity: The Role of Covariance Risk and Noise," Economic Journal, Royal Economic Society, vol. 108(451), pages 1686-1706, November.
    8. Gencay, Ramazan, 1999. "Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules," Journal of International Economics, Elsevier, vol. 47(1), pages 91-107, February.
    9. M. M. Dacorogna & U. A. Muller & C. Jost & O. V. Pictet & J. R. Ward, 1995. "Heterogeneous real-time trading strategies in the foreign exchange market," The European Journal of Finance, Taylor & Francis Journals, vol. 1(4), pages 383-403.
    10. Dewachter, Hans, 2001. "Can Markov switching models replicate chartist profits in the foreign exchange market?," Journal of International Money and Finance, Elsevier, vol. 20(1), pages 25-41, February.
    11. Nelson C. Mark & Yangru Wu, 1997. "Risk, Policy Rules, and Noise: Rethinking Deviations from Uncovered Interest Parity," Tinbergen Institute Discussion Papers 97-041/2, Tinbergen Institute.
    12. P. Lequeux & E. Acar, 1998. "A dynamic index for managed currencies funds using CME currency contracts," The European Journal of Finance, Taylor & Francis Journals, vol. 4(4), pages 311-330.
    13. Emmanuel Acar & Stephen Satchell, 1997. "A theoretical analysis of trading rules: an application to the moving average case with Markovian returns," Applied Mathematical Finance, Taylor & Francis Journals, vol. 4(3), pages 165-180.
    14. Dewachter, H.D.R. & Lyrio, M., 2003. "The Cost of Technical Trading Rules in the Forex Market: A Utility-based Evaluation," ERIM Report Series Research in Management ERS-2003-052-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    15. Michael J. Dueker & Christopher J. Neely, 2006. "Can Markov switching models predict excess foreign exchange returns?," Working Papers 2001-021, Federal Reserve Bank of St. Louis.
    16. Alessandro Beber, 1999. "Il dibattito su dignità ed efficacia dell'analisi tecnica nell'economia finanziaria," Alea Tech Reports 003, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    17. Tabak, Benjamin M. & Lima, Eduardo J.A., 2009. "Market efficiency of Brazilian exchange rate: Evidence from variance ratio statistics and technical trading rules," European Journal of Operational Research, Elsevier, vol. 194(3), pages 814-820, May.

Articles

  1. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.
    See citations under working paper version above.
  2. LeBaron, Blake, 2012. "Wealth dynamics and a bias toward momentum trading," Finance Research Letters, Elsevier, vol. 9(1), pages 21-28.
    See citations under working paper version above.
  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.

    Cited by:

    1. LeBaron, Blake, 2012. "Wealth dynamics and a bias toward momentum trading," Finance Research Letters, Elsevier, vol. 9(1), pages 21-28.
    2. Henry Okwo & Charity Ezenwakwelu & Anthony Igwe & Benedict Imhanrenialena, 2019. "Firm Size and Age mediating the Firm Survival-Hedging Effect: Hayes’ 3-Way Parallel Approach," Sustainability, MDPI, vol. 11(3), pages 1-17, February.
    3. Colin M. Van Oort & Ethan Ratliff-Crain & Brian F. Tivnan & Safwan Wshah, 2023. "Adaptive Agents and Data Quality in Agent-Based Financial Markets," Papers 2311.15974, arXiv.org.
    4. 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.
    5. David Byrd & Sruthi Palaparthi & Maria Hybinette & Tucker Hybinette Balch, 2020. "The Importance of Low Latency to Order Book Imbalance Trading Strategies," Papers 2006.08682, arXiv.org.
    6. LeBaron, Blake, 2012. "Heterogeneous gain learning and the dynamics of asset prices," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 424-445.
    7. Schmitt, Noemi & Westerhoff, Frank, 2021. "Trend followers, contrarians and fundamentalists: Explaining the dynamics of financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 117-136.
    8. 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.
    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. Kalugala Vidanalage Aruna Shantha, 2019. "Individual Investors’ Learning Behavior and Its Impact on Their Herd Bias: An Integrated Analysis in the Context of Stock Trading," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    11. Thomas Holtfort, 2019. "From standard to evolutionary finance: a literature survey," Management Review Quarterly, Springer, vol. 69(2), pages 207-232, June.

  4. 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.

    Cited by:

    1. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    2. Ryuichi Yamamoto, 2015. "Dynamic predictor selection and order splitting in a limit order market," Working Papers 1514, Waseda University, Faculty of Political Science and Economics.
    3. 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.
    4. 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.
    5. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
    6. 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.
    7. Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Ryuichi Yamamoto, 2011. "Volatility clustering and herding agents: does it matter what they observe?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 6(1), pages 41-59, May.

  5. Blake LeBaron & Leigh Tesfatsion, 2008. "Modeling Macroeconomies as Open-Ended Dynamic Systems of Interacting Agents," American Economic Review, American Economic Association, vol. 98(2), pages 246-250, May.
    See citations under working paper version above.
  6. LeBaron Blake & Winker Peter, 2008. "Introduction to the Special Issue on Agent-Based Models for Economic Policy Advice," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 141-148, April.

    Cited by:

    1. Sebastian Poledna & Stefan Thurner & J. Doyne Farmer & John Geanakoplos, 2013. "Leverage-induced systemic risk under Basle II and other credit risk policies," Papers 1301.6114, arXiv.org, revised Jan 2014.
    2. 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.
    3. Callum Rhys Tilbury, 2022. "Reinforcement Learning for Economic Policy: A New Frontier?," Papers 2206.08781, arXiv.org, revised Feb 2023.
    4. 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).
    5. 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.
    6. Gudehus Timm, 2010. "Logik des Marktes Marktordnung, Marktverhalten und Marktergebnisse / Logic of Markets Market Rules, Behaviour of Actors, and Market Outcome," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(5), pages 601-629, October.

  7. 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.

    Cited by:

    1. Gabriele Tedeschi & Stefania Vitali & Mauro Gallegati, 2014. "The dynamic of innovation networks: a switching model on technological change," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 817-834, September.
    2. Paulo M.M. Rodrigues & Marina Balboa, 2021. "Multivariate Fractional Integration Tests allowing for Conditional Heteroskedasticity with an Application to Return Volatility and Trading Volume," Working Papers w202102, Banco de Portugal, Economics and Research Department.
    3. 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.
    4. 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.
    5. Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019. "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 329-346.
    6. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
    7. 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.
    8. 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).
    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.
    10. Ke Xu & Yu‐Lun Chen & Bo Liu & Jian Chen, 2024. "Price discovery and long‐memory property: Simulation and empirical evidence from the bitcoin market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(4), pages 605-618, April.
    11. Stefan, F.M. & Atman, A.P.F., 2023. "Asymmetric rate of returns and wealth distribution influenced by the introduction of technical analysis into a behavioral agent-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    12. Berardi, Simone & Tedeschi, Gabriele, 2017. "From banks' strategies to financial (in)stability," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 255-272.
    13. 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.
    14. Tóth, Bence & Palit, Imon & Lillo, Fabrizio & Farmer, J. Doyne, 2015. "Why is equity order flow so persistent?," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 218-239.
    15. 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.
    16. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    17. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    18. Stefan, F.M. & Atman, A.P.F., 2015. "Is there any connection between the network morphology and the fluctuations of the stock market index?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 630-641.
    19. Yuki Sato & Kiyoshi Kanazawa, 2023. "Exact solution to a generalised Lillo-Mike-Farmer model with heterogeneous order-splitting strategies," Papers 2306.13378, arXiv.org, revised Nov 2023.
    20. 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.
    21. Gabriel Bobeica & Elena Bojesteanu, 2008. "Long Memory in Volatility. An Investigation on the Central and Eastern European Exchange Rates," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 7-18.
    22. Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
    23. Simone Berardi & Gabriele Tedeschi, 2016. "How banks’ strategies influence financial cycles: An approach to identifying micro behavior," Working Papers 2016/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    24. Ryuichi Yamamoto, 2011. "Volatility clustering and herding agents: does it matter what they observe?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 6(1), pages 41-59, May.
    25. 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.
    26. 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.

  8. Jason M Barr & Troy Tassier & Leanne J Ussher & Blake LeBaron & Shu-Heng Chen & Shyam Sunder, 2008. "The Future of Agent-Based Research in Economics: A Panel Discussion, Eastern Economic Association Annual Meetings, Boston, March 7, 20081," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(4), pages 550-565.

    Cited by:

    1. Borrill, Paul L. & Tesfatsion, Leigh, 2011. "Agent-based modeling: the right mathematics for the social sciences?," ISU General Staff Papers 201106290700001090, Iowa State University, Department of Economics.
    2. Leigh Tesfatsion, 2011. "Agent-based Modeling and Institutional Design," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 13-19.
    3. Jason M. Barr, 2019. "Domenico Delli Gatti, Giorgio Fagiolo, Mauro Gallegati, Matteo Richiardi and Alberto Russo (eds): Agent-Based Models in Economics: A Toolkit," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(3), pages 477-480, June.

  9. 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.

    Cited by:

    1. 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.
    2. Fabrizio Pomponio & Frédéric Abergel, 2013. "Multiple-limit trades : empirical facts and application to lead-lag measures," Post-Print hal-00745317, HAL.
    3. Ross M. Miller, 2003. "Don't Let Your Robots Grow Up To Be Traders: Artificial Intelligence, Human Intelligence, and Asset-Market Bubbles," Experimental 0306001, University Library of Munich, Germany.
    4. 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.
    5. 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.
    6. 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.
    7. Bàrbara Llacay & Gilbert Peffer, 2018. "Using realistic trading strategies in an agent-based stock market model," Computational and Mathematical Organization Theory, Springer, vol. 24(3), pages 308-350, September.
    8. Svitlana Vyetrenko & David Byrd & Nick Petosa & Mahmoud Mahfouz & Danial Dervovic & Manuela Veloso & Tucker Hybinette Balch, 2019. "Get Real: Realism Metrics for Robust Limit Order Book Market Simulations," Papers 1912.04941, arXiv.org.
    9. Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
    10. 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.
    11. Bai, Ye & Chow, Darien Yan Pang, 2017. "Shanghai-Hong Kong Stock Connect: An analysis of Chinese partial stock market liberalization impact on the local and foreign markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 182-203.
    12. Onsurang Norrbin & Aaron D. Smallwood, 2011. "Mean Reversion in the Real Interest Rate and the Effects of Calculating Expected Inflation," Southern Economic Journal, John Wiley & Sons, vol. 78(1), pages 107-130, July.
    13. Joshin Murai, 2016. "A model of transaction signs with order splitting and public information," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 469-480, December.
    14. 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.
    15. 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.
    16. Anufriev, M. & Panchenko, V., 2007. "Asset Prices, Traders' Behavior, and Market Design," CeNDEF Working Papers 07-14, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    17. Zaitsev, Sergey & Zaitsev, Alexander & Leonidov, Andrei & Trainin, Vladimir, 2009. "Market mill dependence pattern in the stock market: Multiscale conditional dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4624-4634.
    18. Paolo Barucca & Fabrizio Lillo, 2017. "Behind the price: on the role of agent's reflexivity in financial market microstructure," Papers 1708.07047, arXiv.org.
    19. Jean-Philippe Bouchaud & J. Doyne Farmer & Fabrizio Lillo, 2008. "How markets slowly digest changes in supply and demand," Papers 0809.0822, arXiv.org.
    20. Pirino, Davide, 2009. "Jump detection and long range dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(7), pages 1150-1156.
    21. Tóth, Bence & Palit, Imon & Lillo, Fabrizio & Farmer, J. Doyne, 2015. "Why is equity order flow so persistent?," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 218-239.
    22. Luis Miguel Doncel & Pilar Grau-Carles & Jorge Sainz, 2009. "On the long-term behavior of mutual fund returns," Quantitative Finance, Taylor & Francis Journals, vol. 9(6), pages 653-660.
    23. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    24. Recchioni, Maria Cristina & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "A calibration procedure for analyzing stock price dynamics in an agent-based framework," FinMaP-Working Papers 26, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    25. Yuki Sato & Kiyoshi Kanazawa, 2023. "Exact solution to a generalised Lillo-Mike-Farmer model with heterogeneous order-splitting strategies," Papers 2306.13378, arXiv.org, revised Nov 2023.
    26. Angelo Carollo & Gabriella Vaglica & Fabrizio Lillo & Rosario N. Mantegna, 2012. "Trading activity and price impact in parallel markets: SETS vs. off-book market at the London Stock Exchange," Quantitative Finance, Taylor & Francis Journals, vol. 12(4), pages 517-530, November.
    27. 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.
    28. Ryuichi Yamamoto, 2011. "Volatility clustering and herding agents: does it matter what they observe?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 6(1), pages 41-59, May.
    29. 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.
    30. 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.
    31. Martin D. Gould & Mason A. Porter & Sam D. Howison, 2015. "The Long Memory of Order Flow in the Foreign Exchange Spot Market," Papers 1504.04354, arXiv.org, revised Oct 2015.

  10. B. LeBaron, 2001. "Stochastic volatility as a simple generator of apparent financial power laws and long memory," Quantitative Finance, Taylor & Francis Journals, vol. 1(6), pages 621-631.

    Cited by:

    1. Eric Hillebrand & Gunther Schnabl & Yasemin Ulu, 2006. "Japanese Foreign Exchange Intervention and the Yen/Dollar Exchange Rate: A Simultaneous Equations Approach Using Realized Volatility," CESifo Working Paper Series 1766, CESifo.
    2. Márcio Gomes Pinto Garcia & Marcelo Cunha Medeiros & Francisco Eduardo de Luna e Almeida Santos, 2014. "Economic gains of realized volatility in the Brazilian stock market," Brazilian Review of Finance, Brazilian Society of Finance, vol. 12(3), pages 319-349.
    3. Jean-Philippe Bouchaud & Julien Kockelkoren & Marc Potters, 2006. "Random walks, liquidity molasses and critical response in financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 115-123.
    4. Barunik, Jozef & Krehlik, Tomas & Vacha, Lukas, 2016. "Modeling and forecasting exchange rate volatility in time-frequency domain," European Journal of Operational Research, Elsevier, vol. 251(1), pages 329-340.
    5. Ștefan Ionescu & Ionuț Nica & Nora Chiriță, 2021. "Cybernetics Approach Using Agent-Based Modeling in the Process of Evacuating Educational Institutions in Case of Disasters," Sustainability, MDPI, vol. 13(18), pages 1-29, September.
    6. Stanley, H.Eugene, 2003. "Statistical physics and economic fluctuations: do outliers exist?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 318(1), pages 279-292.
    7. 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.
    8. Shana M. Sundstrom & Craig R. Allen & David G. Angeler, 2020. "Scaling and discontinuities in the global economy," Journal of Evolutionary Economics, Springer, vol. 30(2), pages 319-345, April.
    9. Lux, Thomas & Kaizoji, Taisei, 2007. "Forecasting volatility and volume in the Tokyo Stock Market: Long memory, fractality and regime switching," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1808-1843, June.
    10. Eric Hillebrand, 2003. "Overlaying Time Scales and Persistence Estimation in GARCH(1,1) Models," Econometrics 0301003, University Library of Munich, Germany.
    11. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    12. T. Di Matteo & T. Aste & M. M. Dacorogna, 2003. "Using the Scaling Analysis to Characterize Financial Markets," Papers cond-mat/0302434, arXiv.org.
    13. 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.
    14. Inoua, Sabiou M. & Smith, Vernon L., 2023. "A classical model of speculative asset price dynamics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    15. Tobias Eckernkemper & Bastian Gribisch, 2021. "Intraday conditional value at risk: A periodic mixed‐frequency generalized autoregressive score approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 883-910, August.
    16. Selçuk, Faruk & Gençay, Ramazan, 2006. "Intraday dynamics of stock market returns and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 375-387.
    17. Jaume Masoliver & Josep Perello, 2006. "Multiple time scales and the exponential Ornstein-Uhlenbeck stochastic volatility model," Quantitative Finance, Taylor & Francis Journals, vol. 6(5), pages 423-433.
    18. Martin Tegnér & Rolf Poulsen, 2018. "Volatility Is Log-Normal—But Not for the Reason You Think," Risks, MDPI, vol. 6(2), pages 1-16, April.
    19. Laurent Calvet & Adlai Fisher, 2003. "Regime-Switching and the Estimation of Multifractal Processes," NBER Working Papers 9839, National Bureau of Economic Research, Inc.
    20. Christopher M Wray & Steven R Bishop, 2016. "A Financial Market Model Incorporating Herd Behaviour," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-28, March.
    21. Wyart, Matthieu & Bouchaud, Jean-Philippe, 2007. "Self-referential behaviour, overreaction and conventions in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 63(1), pages 1-24, May.
    22. Zaitsev, Sergey & Zaitsev, Alexander & Leonidov, Andrei & Trainin, Vladimir, 2009. "Market mill dependence pattern in the stock market: Multiscale conditional dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4624-4634.
    23. T. Di Matteo & T. Aste & Michel M. Dacorogna, 2005. "Long-term memories of developed and emerging markets: Using the scaling analysis to characterize their stage of development," Econometrics 0503004, University Library of Munich, Germany.
    24. Alfarano, Simone & Lux, Thomas, 2007. "A Noise Trader Model As A Generator Of Apparent Financial Power Laws And Long Memory," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 80-101, November.
    25. Jean-Pierre Fouque & Matthew Lorig & Ronnie Sircar, 2012. "Second Order Multiscale Stochastic Volatility Asymptotics: Stochastic Terminal Layer Analysis & Calibration," Papers 1208.5802, arXiv.org, revised Sep 2015.
    26. Selçuk, Faruk, 2004. "Financial earthquakes, aftershocks and scaling in emerging stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 306-316.
    27. Alfarano, Simone & Lux, Thomas, 2003. "A minimal noise trader model with realistic time series properties," Economics Working Papers 2003-15, Christian-Albrechts-University of Kiel, Department of Economics.
    28. Matteo Bonato & Massimiliano Caporin & Angelo Ranaldo, 2009. "Forecasting realized (co)variances with a block structure Wishart autoregressive model," Working Papers 2009-03, Swiss National Bank.
    29. 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.
    30. Alfeus, Mesias & Nikitopoulos, Christina Sklibosios, 2022. "Forecasting volatility in commodity markets with long-memory models," Journal of Commodity Markets, Elsevier, vol. 28(C).
    31. Kim, Kyungwon & Jung, Sean S., 2014. "Empirical analysis of structural change in Credit Default Swap volatility," Chaos, Solitons & Fractals, Elsevier, vol. 60(C), pages 56-67.
    32. Pogorelova, Polina & Peresetsky, Anatoly, 2020. "Extracting the global stochastic trend from non-synchronous data on the volatility of financial indices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 53-71.
    33. Cipollini, Fabrizio & Gallo, Giampiero M., 2019. "Modeling Euro STOXX 50 volatility with common and market-specific components," Econometrics and Statistics, Elsevier, vol. 11(C), pages 22-42.
    34. Gao, Xing-Lu & Shao, Ying-Hui & Yang, Yan-Hong & Zhou, Wei-Xing, 2022. "Do the global grain spot markets exhibit multifractal nature?," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    35. Jovanovic, Franck & Schinckus, Christophe, 2017. "Econophysics and Financial Economics: An Emerging Dialogue," OUP Catalogue, Oxford University Press, number 9780190205034.
    36. Martin Magris, 2019. "A Vine-copula extension for the HAR model," Papers 1907.08522, arXiv.org.
    37. Matthieu Wyart & Jean-Philippe Bouchaud, 2003. "Self-referential behaviour, overreaction and conventions in financial markets," Science & Finance (CFM) working paper archive 500020, Science & Finance, Capital Fund Management.
    38. Xu, Zhaoxia & Gençay, Ramazan, 2003. "Scaling, self-similarity and multifractality in FX markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 323(C), pages 578-590.
    39. Marcel Ausloos & Franck Jovanovic & Christophe Schinckus, 2016. "On the “usual” misunderstandings between econophysics and finance: Some clarifications on modelling approaches and efficient market hypothesis," Post-Print hal-03532890, HAL.
    40. Stanley, H.E. & Gabaix, Xavier & Gopikrishnan, Parameswaran & Plerou, Vasiliki, 2007. "Economic fluctuations and statistical physics: Quantifying extremely rare and less rare events in finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 286-301.
    41. Jean-Pierre Fouque & Matthew Lorig & Ronnie Sircar, 2016. "Second order multiscale stochastic volatility asymptotics: stochastic terminal layer analysis and calibration," Finance and Stochastics, Springer, vol. 20(3), pages 543-588, July.
    42. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    43. Morales, Raffaello & Di Matteo, T. & Gramatica, Ruggero & Aste, Tomaso, 2012. "Dynamical generalized Hurst exponent as a tool to monitor unstable periods in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3180-3189.
    44. Matthew Lorig, 2010. "Time-Changed Fast Mean-Reverting Stochastic Volatility Models," Papers 1010.5203, arXiv.org, revised Apr 2012.
    45. Segnon, Mawuli & Lux, Thomas, 2013. "Multifractal models in finance: Their origin, properties, and applications," Kiel Working Papers 1860, Kiel Institute for the World Economy (IfW Kiel).
    46. Subbotin, Alexandre, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
    47. Wong, Hoi Ying & Chan, Chun Man, 2007. "Lookback options and dynamic fund protection under multiscale stochastic volatility," Insurance: Mathematics and Economics, Elsevier, vol. 40(3), pages 357-385, May.
    48. Aït-Sahalia, Yacine & Mancini, Loriano, 2008. "Out of sample forecasts of quadratic variation," Journal of Econometrics, Elsevier, vol. 147(1), pages 17-33, November.
    49. Nils Bertschinger & Oliver Pfante, 2015. "Inferring Volatility in the Heston Model and its Relatives -- an Information Theoretical Approach," Papers 1512.08381, arXiv.org.
    50. Jean-Pierre Fouque & Chuan-Hsiang Han, 2003. "Pricing Asian options with stochastic volatility," Quantitative Finance, Taylor & Francis Journals, vol. 3(5), pages 353-362.
    51. Th'eophile Griveau-Billion & Ben Calderhead, 2019. "A Dynamic Bayesian Model for Interpretable Decompositions of Market Behaviour," Papers 1904.08153, arXiv.org, revised Jan 2020.
    52. Oliver Pfante & Nils Bertschinger, 2019. "Information-Theoretic Analysis Of Stochastic Volatility Models," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-21, February.
    53. Zhao, Dongxu & Li, Kai, 2022. "Bounded rationality, adaptive behaviour, and asset prices," International Review of Financial Analysis, Elsevier, vol. 80(C).
    54. Hillebrand, Eric, 2005. "Neglecting parameter changes in GARCH models," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 121-138.
    55. Aganin, Artem, 2017. "Forecast comparison of volatility models on Russian stock market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 63-84.
    56. Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Kiel Working Papers 1426, Kiel Institute for the World Economy (IfW Kiel).
    57. Steven N. Durlauf, 2012. "Complexity, economics, and public policy," Politics, Philosophy & Economics, , vol. 11(1), pages 45-75, February.
    58. Oliver Pfante & Nils Bertschinger, 2016. "Uncertainty Estimates in the Heston Model via Fisher Information," Papers 1610.04760, arXiv.org, revised Oct 2016.
    59. Raffaello Morales & T. Di Matteo & Ruggero Gramatica & Tomaso Aste, 2011. "Dynamical Hurst exponent as a tool to monitor unstable periods in financial time series," Papers 1109.0465, arXiv.org.
    60. Ioannis P. Antoniades & Giuseppe Brandi & L. G. Magafas & T. Di Matteo, 2020. "The use of scaling properties to detect relevant changes in financial time series: a new visual warning tool," Papers 2010.08890, arXiv.org, revised Dec 2020.
    61. Maheu John, 2005. "Can GARCH Models Capture Long-Range Dependence?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(4), pages 1-43, December.
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    63. Antoniades, I.P. & Brandi, Giuseppe & Magafas, L. & Di Matteo, T., 2021. "The use of scaling properties to detect relevant changes in financial time series: A new visual warning tool," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    64. Oliver Pfante & Nils Bertschinger, 2016. "Volatility Inference and Return Dependencies in Stochastic Volatility Models," Papers 1610.00312, arXiv.org.
    65. 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.
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  11. B. LeBaron, 2001. "A builder's guide to agent-based financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 254-261.

    Cited by:

    1. 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.
    2. McKelvey, Bill & Wycisk, Christine & Hülsmann, Michael, 2009. "Designing an electronic auction market for complex 'smart parts' logistics: Options based on LeBaron's computational stock market," International Journal of Production Economics, Elsevier, vol. 120(2), pages 476-494, August.
    3. Tanya Araújo & Miguel St. Aubyn, 2005. "Education, Neighbourhood Effects and Growth: An Agent Based Model Approach," Working Papers Department of Economics 2005/10, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    4. Stefan Kerbl, 2010. "Regulatory Medicine Against Financial Market Instability: What Helps And What Hurts?," Papers 1011.6284, arXiv.org, revised Nov 2010.
    5. Xue-Zhong He & Youwei Li, 2005. "Long Memory, Heterogeneity and Trend Chasing," Research Paper Series 148, Quantitative Finance Research Centre, University of Technology, Sydney.
    6. Nicolas Audet & Toni Gravelle & Jing Yang, 2002. "Alternative Trading Systems: Does One Shoe Fit All?," Staff Working Papers 02-33, Bank of Canada.
    7. Namun Cho & Tae-Seok Jang, 2019. "Asset Market Volatility and New Keynesian Macroeconomics: A Game-Theoretic Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 245-266, June.
    8. 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.
    9. James Primbs & Muruhan Rathinam, 2009. "Trader Behavior and its Effect on Asset Price Dynamics," Applied Mathematical Finance, Taylor & Francis Journals, vol. 16(2), pages 151-181.
    10. Birte Ewers & Jonathan F. Donges & Jobst Heitzig & Sonja Peterson, 2019. "Divestment may burst the carbon bubble if investors' beliefs tip to anticipating strong future climate policy," Papers 1902.07481, arXiv.org.
    11. Colin M. Van Oort & Ethan Ratliff-Crain & Brian F. Tivnan & Safwan Wshah, 2023. "Adaptive Agents and Data Quality in Agent-Based Financial Markets," Papers 2311.15974, arXiv.org.
    12. 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.
    13. Polyzos, Stathis & Samitas, Aristeidis & Katsaiti, Marina-Selini, 2020. "Who is unhappy for Brexit? A machine-learning, agent-based study on financial instability," International Review of Financial Analysis, Elsevier, vol. 72(C).
    14. Xue-Zhong He & Youwei Li, 2005. "Heterogeneity, Profitability and Autocorrelations," Research Paper Series 147, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Mayo, Robert, 2013. "Can Prospect Theory Explain Market Calendar Effects?," MPRA Paper 96719, University Library of Munich, Germany.
    16. Bas Straatman & Danielle Marceau & Roger White, 2013. "A Generic Framework for a Combined Agent-based Market and Production Model," Computational Economics, Springer;Society for Computational Economics, vol. 41(4), pages 425-445, April.
    17. Mark Paddrik & Roy Hayes & William Scherer & Peter Beling, 2017. "Effects of limit order book information level on market stability metrics," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 221-247, July.
    18. Tolga A. Ozbakan & Serdar Kale & Irem Dikmen, 2019. "Exploring House Price Dynamics: An Agent-Based Simulation with Behavioral Heterogeneity," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 783-807, August.
    19. 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.
    20. Paolo Pellizzari & Arianna Forno, 2007. "A comparison of different trading protocols in an agent-based market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(1), pages 27-43, June.
    21. Wladimir Ostrovsky, 2023. "Dealer Strategies in Agent-Based Models," Papers 2312.05943, arXiv.org.
    22. Kang Gao & Stephen Weston & Perukrishnen Vytelingum & Namid R. Stillman & Wayne Luk & Ce Guo, 2023. "Deeper Hedging: A New Agent-based Model for Effective Deep Hedging," Papers 2310.18755, arXiv.org.
    23. Khraisha, Tamer, 2020. "Complex economic problems and fitness landscapes: Assessment and methodological perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 390-407.
    24. 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.
    25. Willi Semmler, 2011. "Asset Prices, Booms and Recessions," Springer Books, Springer, number 978-3-642-20680-1, December.
    26. Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
    27. Hendri Adriaens & Bas Donkers, 2004. "Extending the CAPM model," Computing in Economics and Finance 2004 204, Society for Computational Economics.
    28. Alexandru Stan, 2015. "A Price Crash Alerting Strategy for Agent-based Artificial Financial Markets," MIC 2015: Managing Sustainable Growth; Proceedings of the Joint International Conference, Portorož, Slovenia, 28–30 May 2015,, University of Primorska, Faculty of Management Koper.
    29. Denis Phan, 2004. "From Agent-Based Computational Economics towards Cognitive Economics," Post-Print halshs-03916500, HAL.
    30. Becker, Till & Illigen, Christoph & McKelvey, Bill & Hülsmann, Michael & Windt, Katja, 2016. "Using an agent-based neural-network computational model to improve product routing in a logistics facility," International Journal of Production Economics, Elsevier, vol. 174(C), pages 156-167.
    31. Lye, Ribin & Tan, James Peng Lung & Cheong, Siew Ann, 2012. "Understanding agent-based models of financial markets: A bottom–up approach based on order parameters and phase diagrams," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5521-5531.
    32. Florian Hauser & Jürgen Huber & Bob Kaempff, 2015. "Costly Information in Markets with Heterogeneous Agents: A Model with Genetic Programming," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 205-229, August.
    33. Denis Phan & Stephane Pajot & Jean-Pierre Nadal, 2003. "The Monopolist's Market with Discrete Choices and Network Externality Revisited: Small-Worlds, Phase Transition and Avalanches in an ACE Framework," Computing in Economics and Finance 2003 150, Society for Computational Economics.
    34. Aleksei Pastushkov, 2024. "Market efficiency, informational asymmetry and pseudo-collusion of adaptively learning agents," Papers 2411.05032, arXiv.org.
    35. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 51-69, August.
    36. Hirshleifer, David & Lo, Andrew W. & Zhang, Ruixun, 2023. "Social contagion and the survival of diverse investment styles," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
    37. Mitoko, Jeremiah, 2021. "Economics of Microcredit-From current crisis to new possibilities," MPRA Paper 108392, University Library of Munich, Germany.
    38. 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.
    39. Wiszniewska-Matyszkiel, Agnieszka, 2005. "Stock market as a dynamic game with continuum of players," MPRA Paper 32982, University Library of Munich, Germany, revised 2006.

  12. 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.
    See citations under working paper version above.
  13. Alain Chaboud & Blake LeBaron, 2001. "Foreign‐Exchange Trading Volume and Federal Reserve Intervention," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(9), pages 851-860, September.

    Cited by:

    1. Igor Kliakhandler, 2007. "Execution edge of pit traders and intraday price ranges of soft commodities," Applied Financial Economics, Taylor & Francis Journals, vol. 17(5), pages 343-350.
    2. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    3. Maxime Charlebois & Stephen Sapp, 2007. "Temporal Patterns in Foreign Exchange Returns and Options," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 443-470, March.
    4. Ying-Sing Liu, 2021. "The Impact of Trading Information Sets on Exchange Rate Change and Volatility: Evidence From Taiwan," SAGE Open, , vol. 11(4), pages 21582440211, November.
    5. Moustafa Abuelfadl, 2017. "Individual Foreign Exchange Investors, Return Predictability And Market Timing," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-28, March.

  14. Rachel McCulloch & Blake LeBaron, 2000. "Floating, Fixed, or Super-Fixed? Dollarization Joins the Menu of Exchange-Rate Options," American Economic Review, American Economic Association, vol. 90(2), pages 32-37, May.

    Cited by:

    1. A. G. Malliaris, 2005. "Global monetary instability: The role of the IMF, the EU and NAFTA," World Scientific Book Chapters, in: Economic Uncertainty, Instabilities And Asset Bubbles Selected Essays, chapter 20, pages 323-343, World Scientific Publishing Co. Pte. Ltd..
    2. Alain Raybaut & Dominique Torre, 2004. "Unions monétaires, caisses d'émission et dollarisation : les fondements analytiques des systèmes de change « ultra-fixes »," Revue d'Économie Financière, Programme National Persée, vol. 75(2), pages 37-54.
    3. Daniel Daianu & Radu Vranceanu, 2001. "Subduing High Inflation in Romania. How to Better Monetary and Exchange Rate Mechanisms?," William Davidson Institute Working Papers Series 402, William Davidson Institute at the University of Michigan.
    4. Merih Uctum & Isamu Kato, 2004. "FIxed, Float or Intermediate? A Cross-COuntry Time Series Analysis Of Exchange Rate Regimes," Econometric Society 2004 North American Winter Meetings 291, Econometric Society.
    5. Pieter van Foreest & Casper de Vries, 2003. "The Forex Regime and EMU Expansion," Open Economies Review, Springer, vol. 14(3), pages 285-298, July.
    6. Kamin, Steven B. & Ericsson, Neil R., 2003. "Dollarization in post-hyperinflationary Argentina," Journal of International Money and Finance, Elsevier, vol. 22(2), pages 185-211, April.
    7. Lange, Carsten & Sauer, Christine, 2005. "Dollarization in Latin America: seigniorage costs and policy implications," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 662-679, September.
    8. João Loureiro & Manuel M. F. Martins & Ana Paula Ribeiro, 2009. "Cape Verde: The Case for Euroization," FEP Working Papers 317, Universidade do Porto, Faculdade de Economia do Porto.
    9. Dellas, Harris & Tavlas, George S., 2001. "Lessons of the euro for dollarization: Analytic and political economy perspectives," Journal of Policy Modeling, Elsevier, vol. 23(3), pages 333-345, April.
    10. Kenneth P. Jameson, 2000. "América Latina y el bloque del dólar en el siglo XXI. ¿Dolarizar o no dolarizar?," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, issue 45, pages 9-60.
    11. Leigh A. Gardner, 2014. "The rise and fall of sterling in Liberia, 1847–1943," Economic History Review, Economic History Society, vol. 67(4), pages 1089-1112, November.
    12. George S. Tavlas, 2003. "The Economics of Exchange‐Rate Regimes: A Review Essay," The World Economy, Wiley Blackwell, vol. 26(8), pages 1215-1246, August.
    13. Davide Furceri & Georgios Karras, 2008. "Is the Middle East an Optimum Currency Area? A Comparison of Costs and Benefits," Open Economies Review, Springer, vol. 19(4), pages 479-491, September.

  15. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.

    Cited by:

    1. C. H. Hommes, 2001. "Financial markets as nonlinear adaptive evolutionary systems," Quantitative Finance, Taylor & Francis Journals, vol. 1(1), pages 149-167.
    2. 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.
    3. Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, University Library of Munich, Germany, revised 15 Aug 2002.
    4. Smith, Peter, 2008. "New perspectives on realism, tractability, and complexity in economics," MPRA Paper 10899, University Library of Munich, Germany.
    5. Emeterio Navarro & Ruben Cantero & Joao Rodrigues & Frank Schweitzer, 2007. "Investments in Random Environments," Papers 0709.3630, arXiv.org, revised Sep 2008.
    6. Cross, Rod & Grinfeld, Michael & Lamba, Harbir & Seaman, Tim, 2005. "A threshold model of investor psychology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 463-478.
    7. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    8. Christopher R. Stephens & Harald A. Benink & José Luís Gordillo & Juan Pablo Pardo-Guerra, 2021. "A New Measure of Market Inefficiency," JRFM, MDPI, vol. 14(6), pages 1-22, June.
    9. 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.
    10. 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.
    11. Lustosa, Bernardo C. & Cajueiro, Daniel O., 2010. "Constrained information minority game: How was the night at El Farol?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(6), pages 1230-1238.
    12. 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.
    13. Xue-Zhong He & Youwei Li, 2005. "Long Memory, Heterogeneity and Trend Chasing," Research Paper Series 148, Quantitative Finance Research Centre, University of Technology, Sydney.
    14. 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.
    15. Wheatley, W. Parker & Buhr, Brian L. & Dipietre, Dennis, 2001. "E-Commerce In Agriculture: Development, Strategy, And Market Implications," Staff Papers 13938, University of Minnesota, Department of Applied Economics.
    16. 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.
    17. Scott C. Linn & Nicholas S. P. Tay, 2007. "Complexity and the Character of Stock Returns: Empirical Evidence and a Model of Asset Prices Based on Complex Investor Learning," Management Science, INFORMS, vol. 53(7), pages 1165-1180, July.
    18. Nicolas Audet & Toni Gravelle & Jing Yang, 2002. "Alternative Trading Systems: Does One Shoe Fit All?," Staff Working Papers 02-33, Bank of Canada.
    19. Ivan Jericevich & Murray McKechnie & Tim Gebbie, 2021. "Calibrating an adaptive Farmer-Joshi agent-based model for financial markets," Papers 2104.09863, arXiv.org.
    20. Christian Peretti, 2007. "Long Memory and Hysteresis," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 363-389, Springer.
    21. 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.
    22. 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).
    23. 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.
    24. 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.
    25. Orlando Gomes, 2004. "A Continuous-Time Asset Pricing Model with Boundedly Rational Heterogeneous Agents," Finance 0409055, University Library of Munich, Germany.
    26. James Primbs & Muruhan Rathinam, 2009. "Trader Behavior and its Effect on Asset Price Dynamics," Applied Mathematical Finance, Taylor & Francis Journals, vol. 16(2), pages 151-181.
    27. Diks, Cees & van der Weide, Roy, 2005. "Herding, a-synchronous updating and heterogeneity in memory in a CBS," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 741-763, April.
    28. Alfarano, Simone & Camacho, Eva & Petrovic, Marko & Provenzano, Giulia, 2014. "The Interplay between Public and Private Information in Asset Markets: Theoretical and Experimental Approaches," FinMaP-Working Papers 9, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    29. 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.
    30. 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.
    31. Hommes, Cars & Sonnemans, Joep & Tuinstra, Jan & van de Velden, Henk, 2005. "A strategy experiment in dynamic asset pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 823-843, April.
    32. Kellermann, Konrad & Sahrbacher, Christoph & Balmann, Alfons, 2008. "Land Markets In Agent Based Models Of Structural Change," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6647, European Association of Agricultural Economists.
    33. Marco Casari, 2002. "Can genetic algorithms explain experimental anomalies? An application to common property resources," UFAE and IAE Working Papers 542.02, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    34. Andrea Morone, 2002. "Financial Market in the Laboratory," Computing in Economics and Finance 2002 151, Society for Computational Economics.
    35. Alexander Ludwig & Alexander Zimper, 2012. "A decision-theoretic model of asset-price underreaction and overreaction to dividend news," Working Papers 296, Economic Research Southern Africa.
    36. Cars Hommes, 2005. "Heterogeneous Agent Models: Two Simple Case Studies," Tinbergen Institute Discussion Papers 05-055/1, Tinbergen Institute.
    37. Carl Chiarella & Xue-Zhong He, 2002. "An Adaptive Model on Asset Pricing and Wealth Dynamics with Heterogeneous Trading Strategies," Research Paper Series 84, Quantitative Finance Research Centre, University of Technology, Sydney.
    38. Dinghai Xu & Jingru Ji & Donghua Wang, 2018. "Modelling the spreading process of extreme risks via a simple agent-based model: Evidence from the China stock market," Working Papers 1806, University of Waterloo, Department of Economics, revised 09 Jan 2018.
    39. Alexandrova-Kabadjova Biliana & Castellanos Pascacio Sara Gabriela & García-Almanza Alma L., 2012. "The Adoption Process of Payment Cards -An Agent- Based Approach," Working Papers 2012-02, Banco de México.
    40. James Paulin & Anisoara Calinescu & Michael Wooldridge, 2018. "Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach," Papers 1805.08454, arXiv.org.
    41. 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.
    42. Ge, Jiaqi, 2014. "Stepping into new territory: Three essays on agent-based computational economics and environmental economics," ISU General Staff Papers 201401010800004899, Iowa State University, Department of Economics.
    43. Thiele, Jan C, 2014. "R Marries NetLogo: Introduction to the RNetLogo Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i02).
    44. Gagliardi, Dimitri & Niglia, Francesco & Battistella, Cinzia, 2014. "Evaluation and design of innovation policies in the agro-food sector: An application of multilevel self-regulating agents," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 40-57.
    45. Didier Sornette & Wei-Xing Zhou, 2005. "Importance of Positive Feedbacks and Over-confidence in a Self-Fulfilling Ising Model of Financial Markets," Papers cond-mat/0503607, arXiv.org, revised Mar 2005.
    46. Diks, C.G.H. & Weide, R. van der, 2003. "Heterogeneity as a natural source of randomness," CeNDEF Working Papers 03-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    47. Annalisa Fabretti, 2013. "On the problem of calibrating an agent based model for financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 277-293, October.
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    1. Erzgräber, Hartmut & Strozzi, Fernanda & Zaldívar, José-Manuel & Touchette, Hugo & Gutiérrez, Eugénio & Arrowsmith, David K., 2008. "Time series analysis and long range correlations of Nordic spot electricity market data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6567-6574.
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Software components

    Sorry, no citations of software components recorded.

Chapters

  1. 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.

    Cited by:

    1. Giuliana Passamani & Roberto Tamborini & Matteo Tomaselli, 2016. "Taxing financial transactions in fundamentally heterogeneous markets," DEM Working Papers 2016/10, Department of Economics and Management.
    2. Reitz, Stefan & Rülke, Jan & Stadtmann, Georg, 2012. "Nonlinear Expectations in Speculative Markets," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62045, Verein für Socialpolitik / German Economic Association.
    3. Reitz, Stefan & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Nonlinear expectations in speculative markets: Evidence from the ECB survey of professional forecasters," Discussion Papers 311, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    4. Ahmet Murat Ozbayoglu & Mehmet Ugur Gudelek & Omer Berat Sezer, 2020. "Deep Learning for Financial Applications : A Survey," Papers 2002.05786, arXiv.org.
    5. 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.
    6. 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.
    7. 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.
    8. Makarewicz, Tomasz, 2021. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 626-673.
    9. 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.
    10. Guy Maugis, Pierre-André, 2019. "Paradigm shifts," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 13, pages 1-9.
    11. 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.
    12. 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.
    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. 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.
    15. Lengnick, Matthias & Wohltmann, Hans-Werner, 2010. "Agent-based financial markets and New Keynesian macroeconomics: A synthesis," Economics Working Papers 2010-10, Christian-Albrechts-University of Kiel, Department of Economics.
    16. Mario A Bertella & Felipe R Pires & Ling Feng & Harry Eugene Stanley, 2014. "Confidence and the Stock Market: An Agent-Based Approach," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
    17. 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.
    18. Vivien Lespagnol & Juliette Rouchier, 2014. "Trading Volume and Market Efficiency: An Agent Based Model with Heterogenous Knowledge about Fundamentals," Working Papers halshs-00997573, HAL.
    19. 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).
    20. Hommes, C.H., 2007. "Bounded Rationality and Learning in Complex Markets," CeNDEF Working Papers 07-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    21. Anufriev, M. & Tuinstra, J., 2013. "The impact of short-selling constraints on financial market stability in a heterogeneous agents model," CeNDEF Working Papers 13-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    22. Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
    23. Peter Winker & Manfred Gilli & Vahidin Jeleskovic, 2007. "An Objective Function for Simulation Based Inference on Exchange Rate Data," Swiss Finance Institute Research Paper Series 07-01, Swiss Finance Institute.
    24. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-32.
    25. Sebastian Poledna & Stefan Thurner & J. Doyne Farmer & John Geanakoplos, 2013. "Leverage-induced systemic risk under Basle II and other credit risk policies," Papers 1301.6114, arXiv.org, revised Jan 2014.
    26. Blume, Andreas & Duffy, John & Temzelides, Ted, 2010. "Self-organized criticality in a dynamic game," Journal of Economic Dynamics and Control, Elsevier, vol. 34(8), pages 1380-1391, August.
    27. 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).
    28. Trichet, J.C., 2011. "Intellectual challenges to financial stability analysis in the era of macroprudential oversight," Financial Stability Review, Banque de France, issue 15, pages 139-149, February.
    29. Stefan Kerbl, 2010. "Regulatory Medicine Against Financial Market Instability: What Helps And What Hurts?," Papers 1011.6284, arXiv.org, revised Nov 2010.
    30. Sonnemans, Joep & Tuinstra, Jan, 2010. "Positive expectations feedback experiments and number guessing games as models of financial markets," Journal of Economic Psychology, Elsevier, vol. 31(6), pages 964-984, December.
    31. Scheffknecht, Lukas & Geiger, Felix, 2011. "A behavioral macroeconomic model with endogenous boom-bust cycles and leverage dynamcis," FZID Discussion Papers 37-2011, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    32. Thierry Chauveau & Alexander Subbotin, 2010. "Price Dynamics in Market with Heterogeneous Investment Horizons and Boundedly Rational Traders," Post-Print halshs-00497427, HAL.
    33. 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.
    34. 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.
    35. Rocco Caferra & Gabriele Tedeschi & Andrea Morone, 2023. "Agents interaction and price dynamics: evidence from the laboratory," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 251-274, April.
    36. Carl Chiarella & Xue-Zhong He & Cars Hommes, 2004. "A Dynamic Analysis of Moving Average Rules," Research Paper Series 133, Quantitative Finance Research Centre, University of Technology, Sydney.
    37. He, Xue-Zhong & Li, Kai, 2012. "Heterogeneous beliefs and adaptive behaviour in a continuous-time asset price model," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 973-987.
    38. Stephan Schulmeister, 2005. "The Interaction between Technical Currency Trading and Exchange Rate Fluctuations," Finance 0512033, University Library of Munich, Germany.
    39. 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.
    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. 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.
    42. 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.
    43. Klein, Achim & Urbig, Diemo, 2008. "Who Drives the Market? Estimating a Heterogeneous Agent-based Financial Market Model Using a Neural Network Approach," MPRA Paper 116175, University Library of Munich, Germany, revised 30 Apr 2011.
    44. Evans, George W. & Hommes, Cars & McGough, Bruce & Salle, Isabelle, 2022. "Are long-horizon expectations (de-)stabilizing? Theory and experiments," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 44-63.
    45. Scott C. Linn & Nicholas S. P. Tay, 2007. "Complexity and the Character of Stock Returns: Empirical Evidence and a Model of Asset Prices Based on Complex Investor Learning," Management Science, INFORMS, vol. 53(7), pages 1165-1180, July.
    46. Kluger, Brian D. & McBride, Mark E., 2011. "Intraday trading patterns in an intelligent autonomous agent-based stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 226-245, August.
    47. Ivan Jericevich & Murray McKechnie & Tim Gebbie, 2021. "Calibrating an adaptive Farmer-Joshi agent-based model for financial markets," Papers 2104.09863, arXiv.org.
    48. 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.
    49. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
    50. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    51. Di Guilmi, Corrado & He, Xue-Zhong & Li, Kai, 2014. "Herding, trend chasing and market volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 349-373.
    52. Olivier Damette, 2016. "Mixture distribution hypothesis and the impact of a Tobin tax on exchange rate volatility : a reassessment," Post-Print hal-01601393, HAL.
    53. 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.
    54. 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.
    55. He, Xue-Zhong & Zheng, Min, 2010. "Dynamics of moving average rules in a continuous-time financial market model," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 615-634, December.
    56. 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.
    57. 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.
    58. Veryzhenko, Iryna & Harb, Etienne & Louhichi, Waël & Oriol, Nathalie, 2017. "The impact of the French financial transaction tax on HFT activities and market quality," Economic Modelling, Elsevier, vol. 67(C), pages 307-315.
    59. Cees Diks & Cars Hommes & Valentyn Panchenko & Roy Weide, 2008. "E&F Chaos: A User Friendly Software Package for Nonlinear Economic Dynamics," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 221-244, September.
    60. Ryuichi Yamamoto, 2015. "Dynamic predictor selection and order splitting in a limit order market," Working Papers 1514, Waseda University, Faculty of Political Science and Economics.
    61. Ryuichi Yamamoto & Hideaki Hirata, "undated". "Strategy Switching in the Japanese Stock Market," Working Paper 164466, Harvard University OpenScholar.
    62. 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.
    63. Pyo, Dong-Jin, 2015. "Animal spirits and stock market dynamics," ISU General Staff Papers 201501010800005596, Iowa State University, Department of Economics.
    64. Luigi Bonatti & Lorenza Lorenzetti, 2016. "The co-evolution of tax evasion, social capital and policy responses: A theoretical approach," DEM Working Papers 2016/08, Department of Economics and Management.
    65. Agliari, Anna & Hommes, Cars H. & Pecora, Nicolò, 2016. "Path dependent coordination of expectations in asset pricing experiments: A behavioral explanation," Journal of Economic Behavior & Organization, Elsevier, vol. 121(C), pages 15-28.
    66. 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).
    67. 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.
    68. Franke, Reiner & Westerhoff, Frank, 2011. "Structural stochastic volatility in asset pricing dynamics: Estimation and model contest," BERG Working Paper Series 78, Bamberg University, Bamberg Economic Research Group.
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    336. 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.

  2. William A. Brock & Blake LeBaron, 1990. "Liquidity Constraints in Production-Based Asset-Pricing Models," NBER Chapters, in: Asymmetric Information, Corporate Finance, and Investment, pages 231-256, National Bureau of Economic Research, Inc.
    See citations under working paper version above.

Books

  1. William A. Brock & David A. Hsieh & Blake LeBaron, 1992. "Nonlinear Dynamics, Chaos, and Instability - Unix version," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262521725, April.

    Cited by:

    1. Francis X. Diebold & Jinyong Hahn & Anthony S. Tay, 1998. "Real-Time Multivariate Density Forecast Evaluation and Calibration: Monitoring the Risk of High-Frequency Returns on Foreign Exchange," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-079, New York University, Leonard N. Stern School of Business-.
    2. Jorge Belaire-Franch & Dulce Contreras, 2002. "How to compute the BDS test: a software comparison," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(6), pages 691-699.
    3. Mishra, Ritesh Kumar & Sehgal, Sanjay & Bhanumurthy, N.R., 2011. "A search for long-range dependence and chaotic structure in Indian stock market," Review of Financial Economics, Elsevier, vol. 20(2), pages 96-104, May.
    4. Brooks, Chris & Hinich, Melvin J., 1999. "Cross-correlations and cross-bicorrelations in Sterling exchange rates," Journal of Empirical Finance, Elsevier, vol. 6(4), pages 385-404, October.
    5. Catherine Kyrtsou & Michel Terraza, 2008. "Seasonal Mackey-Glass-GARCH process and short-term dynamics," Discussion Paper Series 2008_09, Department of Economics, University of Macedonia, revised Sep 2008.

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