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Stock Market Volatility and Learning

Citations

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Cited by:

  1. Ashby, M. & Linton, O. B., 2022. "Do Consumption-based Asset Pricing Models Explain Own-history Predictability in Stock Market Returns?," Cambridge Working Papers in Economics 2259, Faculty of Economics, University of Cambridge.
  2. policy, Work stream on macroprudential & Albertazzi, Ugo & Martin, Alberto & Assouan, Emmanuelle & Tristani, Oreste & Galati, Gabriele & Vlassopoulos, Thomas, 2021. "The role of financial stability considerations in monetary policy and the interaction with macroprudential policy in the euro area," Occasional Paper Series 272, European Central Bank.
  3. Chevillon, Guillaume & Mavroeidis, Sophocles, 2017. "Learning can generate long memory," Journal of Econometrics, Elsevier, vol. 198(1), pages 1-9.
  4. Adam, Klaus & Merkel, Sebastian, 2019. "Stock Price Cycles and Business Cycles," CEPR Discussion Papers 13866, C.E.P.R. Discussion Papers.
  5. Ruzhen Yan & Ding Yue & Xu Wu & Wei Gao, 2023. "Multiscale Multifractal Detrended Fluctuation Analysis and Trend Identification of Liquidity in the China's Stock Markets," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 487-511, February.
  6. Ashby, M. & Linton, O. B., 2022. "Do Consumption-based Asset Pricing Models Explain Own-history Predictability in Stock Market Returns?," Janeway Institute Working Papers 2226, Faculty of Economics, University of Cambridge.
  7. Fredj Jawadi & Georges Prat, 2017. "Equity prices and fundamentals: a DDM–APT mixed approach," Review of Quantitative Finance and Accounting, Springer, vol. 49(3), pages 661-695, October.
  8. Lewis Vivien & Markiewicz Agnieszka, 2009. "Model Misspecification, Learning and the Exchange Rate Disconnect Puzzle," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-24, April.
  9. Michele Berardi, 2018. "Information aggregation and learning in a dynamic asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 241, Economics, The University of Manchester.
  10. Milani, Fabio, 2017. "Learning about the interdependence between the macroeconomy and the stock market," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 223-242.
  11. Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2017. "Noise Bubbles," Economic Journal, Royal Economic Society, vol. 127(604), pages 1940-1976, September.
  12. Lv, Wendai & Qi, Jipeng & Feng, Jing, 2023. "Economic policy uncertainty and environmental governance company volatility: Evidence from China," Research in International Business and Finance, Elsevier, vol. 64(C).
  13. Hanshuang Tong & Jun Li & Ning Wu & Ming Gong & Dongmei Zhang & Qi Zhang, 2024. "Ploutos: Towards interpretable stock movement prediction with financial large language model," Papers 2403.00782, arXiv.org.
  14. Gomes, Orlando, 2009. "Stability under learning: The endogenous growth problem," Economic Modelling, Elsevier, vol. 26(5), pages 807-816, September.
  15. Li, Jinfang, 2022. "The sentiment pricing dynamics with short-term and long-term learning," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
  16. Ziniu Hu & Weiqing Liu & Jiang Bian & Xuanzhe Liu & Tie-Yan Liu, 2017. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction," Papers 1712.02136, arXiv.org, revised Feb 2019.
  17. Feng, Jiabao & Wang, Yudong & Yin, Libo, 2017. "Oil volatility risk and stock market volatility predictability: Evidence from G7 countries," Energy Economics, Elsevier, vol. 68(C), pages 240-254.
  18. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
  19. Eva Carceles-Poveda & Chryssi Giannitsarou, 2008. "Asset Pricing with Adaptive Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 629-651, July.
  20. Francesco Caprioli & Pietro Rizza & Pietro Tommasino, 2011. "Optimal Fiscal Policy when Agents Fear Government Default," Revue économique, Presses de Sciences-Po, vol. 62(6), pages 1031-1043.
  21. Caprioli, Francesco, 2015. "Optimal fiscal policy under learning," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 101-124.
  22. Tortorice, Daniel L., 2018. "Equity return predictability, time varying volatility and learning about the permanence of shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 315-343.
  23. Katsuhiro Oshima, 2021. "Heterogeneous beliefs, monetary policy, and stock price volatility," Annals of Finance, Springer, vol. 17(1), pages 79-125, March.
  24. Pei Kuang, 2013. "Imperfect Knowledge About Asset Prices and Credit Cycles," Discussion Papers 13-02r, Department of Economics, University of Birmingham.
  25. Abdullah Alqahtani, 2019. "Do Global Financial, Oil and Gold Volatility Shocks Affect the GCC Stock Markets?," Emerging Economy Studies, International Management Institute, vol. 5(2), pages 157-175, November.
  26. Nakov, Anton & Nuño, Galo, 2015. "Learning from experience in the stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 224-239.
  27. Branch, William A. & Petrosky-Nadeau, Nicolas & Rocheteau, Guillaume, 2016. "Financial frictions, the housing market, and unemployment," Journal of Economic Theory, Elsevier, vol. 164(C), pages 101-135.
  28. Weiwei Gao & Ting Cao & Zhen Huang, 2021. "Do outsiders listen to insiders? The role of government support in market reactions to earnings announcements," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(4), pages 781-795, June.
  29. Evans, George W. & McGough, Bruce, 2020. "Stable near-rational sunspot equilibria," Journal of Economic Theory, Elsevier, vol. 186(C).
  30. Agnieszka Markiewicz, 2010. "Monetary Policy, Model Uncertainty and Exchange Rate Volatility," CESifo Working Paper Series 2949, CESifo.
  31. Ortiz, Marco, 2014. "Fat-Tailed Shocks and the Central Bank Reaction," Working Papers 2014-002, Banco Central de Reserva del Perú.
  32. Caines, Colin, 2020. "Can learning explain boom-bust cycles in asset prices? An application to the US housing boom," Journal of Macroeconomics, Elsevier, vol. 66(C).
  33. Adam, Klaus & Woodford, Michael, 2021. "Robustly optimal monetary policy in a new Keynesian model with housing," Journal of Economic Theory, Elsevier, vol. 198(C).
  34. Gelain, Paolo & Lansing, Kevin J., 2014. "House prices, expectations, and time-varying fundamentals," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 3-25.
  35. Elena Asparouhova & Peter Bossaerts & Nilanjan Roy & William Zame, 2016. "“Lucas” in the Laboratory," Journal of Finance, American Finance Association, vol. 71(6), pages 2727-2780, December.
  36. Alexander Zimper, 2011. "Do Bayesians Learn Their Way Out of Ambiguity?," Decision Analysis, INFORMS, vol. 8(4), pages 269-285, December.
  37. Pei Kuang, 2013. "Imperfect Knowledge About Asset Prices and Credit Cycles," Discussion Papers 13-02, Department of Economics, University of Birmingham.
  38. KevinX.D. Huang & Zheng Liu & Tao Zha, 2009. "Learning, Adaptive Expectations and Technology Shocks," Economic Journal, Royal Economic Society, vol. 119(536), pages 377-405, March.
  39. King, Daniel & Botha, Ferdi, 2015. "Modelling stock return volatility dynamics in selected African markets," Economic Modelling, Elsevier, vol. 45(C), pages 50-73.
  40. Katsuhiro Oshima, 2019. "Subjective Beliefs, Monetary Policy, and Stock Price Volatility," KIER Working Papers 1012, Kyoto University, Institute of Economic Research.
  41. Klaus Adam & Albert Marcet & Juan Pablo Nicolini, 2016. "Stock Market Volatility and Learning," Journal of Finance, American Finance Association, vol. 71(1), pages 33-82, February.
  42. Radke, Lucas & Wicknig, Florian, 2021. "Experience-Based Heterogeneity in Expectations and Monetary Policy," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242414, Verein für Socialpolitik / German Economic Association.
  43. Sheng Xiang & Dawei Cheng & Chencheng Shang & Ying Zhang & Yuqi Liang, 2023. "Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction," Papers 2305.08740, arXiv.org.
  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. Caines, Colin & Winkler, Fabian, 2021. "Asset price beliefs and optimal monetary policy," Journal of Monetary Economics, Elsevier, vol. 123(C), pages 53-67.
  46. Kubler, Felix & Scheidegger, Simon, 2023. "Uniformly self-justified equilibria," Journal of Economic Theory, Elsevier, vol. 212(C).
  47. Adam, Klaus & Matveev, Dmitry & Nagel, Stefan, 2021. "Do survey expectations of stock returns reflect risk adjustments?," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 723-740.
  48. Marco Airaudo, 2012. "Complex Stock Price Dynamics and Recurrent Bubbles under the Spirit of Capitalism," DEGIT Conference Papers c017_036, DEGIT, Dynamics, Economic Growth, and International Trade.
  49. Ortiz, Marco, 2013. "Learning Through the Yield Curve," Working Papers 2013-018, Banco Central de Reserva del Perú.
  50. Zhang, Tongbin, 2021. "Stock prices and the risk-free rate: An internal rationality approach," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
  51. Oliver de Groot & Alexander W. Richter & Nathaniel A. Throckmorton, 2022. "Valuation risk revalued," Quantitative Economics, Econometric Society, vol. 13(2), pages 723-759, May.
  52. Marquardt, Philipp & Noussair, Charles N & Weber, Martin, 2019. "Rational expectations in an experimental asset market with shocks to market trends," European Economic Review, Elsevier, vol. 114(C), pages 116-140.
  53. Mikhail Anufriev & Cars Hommes, 2012. "Evolutionary Selection of Individual Expectations and Aggregate Outcomes in Asset Pricing Experiments," American Economic Journal: Microeconomics, American Economic Association, vol. 4(4), pages 35-64, November.
  54. Veldkamp, Laura & Kozeniauskas, Nicholas & Orlik, Anna, 2016. "What Are Uncertainty Shocks?," CEPR Discussion Papers 11501, C.E.P.R. Discussion Papers.
  55. Eva Carceles-Poveda & Chryssi Giannitsarou, 2008. "Asset Pricing with Adaptive Learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(3), pages 629-651, July.
  56. Chatterji, Shurojit & Kajii, Atsushi, 2023. "Decentralizability of efficient allocations with heterogeneous forecasts," Journal of Economic Theory, Elsevier, vol. 207(C).
  57. Qinkai Chen & Christian-Yann Robert, 2021. "Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data," Papers 2107.10941, arXiv.org, revised Dec 2021.
  58. repec:ebl:ecbull:v:3:y:2008:i:57:p:1-15 is not listed on IDEAS
  59. Detken, Carsten & Adalid, Ramón, 2007. "Liquidity shocks and asset price boom/bust cycles," Working Paper Series 732, European Central Bank.
  60. Orlando Gomes, 2009. "Stability under learning: the neo-classical growth problem," Economics Bulletin, AccessEcon, vol. 29(4), pages 3186-3193.
  61. 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.
  62. Airaudo, Marco & Cardani, Roberta & Lansing, Kevin J., 2013. "Monetary policy and asset prices with belief-driven fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1453-1478.
  63. Gareth Lui-Evans & Shalini Mitra, 2019. "Informality and Bank Stability," Working Papers 201903, University of Liverpool, Department of Economics.
  64. Marco Airaudo, 2017. "Complex stock price dynamics under Max Weber’s spirit of capitalism hypothesis," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 64(1), pages 47-73, June.
  65. policy, Work stream on macroprudential & Policy, Monetary & Stability, Financial & Albertazzi, Ugo & Martin, Alberto & Assouan, Emmanuelle & Tristani, Oreste & Galati, Gabriele & Vlassopoulos, Thomas , 2023. "The role of financial stability considerations in monetary policy and the interaction with macroprudential policy in the euro area," Occasional Paper Series 272, European Central Bank.
  66. Xiaohong Chen & Lars Peter Hansen & Peter G. Hansen, 2020. "Robust identification of investor beliefs," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(52), pages 33130-33140, December.
  67. Jean-Philippe Bouchaud & Roger E. A. Farmer, 2023. "Self-Fulfilling Prophecies, Quasi Nonergodicity, and Wealth Inequality," Journal of Political Economy, University of Chicago Press, vol. 131(4), pages 947-993.
  68. Beker, Pablo F & Espino, Emilio, 2013. "Too Good to Be True: Asset Pricing Implications of Pessimism," The Warwick Economics Research Paper Series (TWERPS) 1031, University of Warwick, Department of Economics.
  69. Malmendier, Ulrike & Pouzo, Demian & Vanasco, Victoria, 2020. "Investor experiences and financial market dynamics," Journal of Financial Economics, Elsevier, vol. 136(3), pages 597-622.
  70. Berardi, Michele, 2021. "Uncertainty, sentiments and time-varying risk premia," MPRA Paper 106922, University Library of Munich, Germany.
  71. Weber, Martin & Kieren, Pascal & Mueller-Dethard, Jan, 2020. "Why so Negative? Belief Formation and Risk Taking in Boom and Bust Markets," CEPR Discussion Papers 14647, C.E.P.R. Discussion Papers.
  72. Gurdip Bakshi, 2009. "Du subjectiv expectations explain asset pricing puzzles?," 2009 Meeting Papers 1234, Society for Economic Dynamics.
  73. Bakshi, Gurdip & Skoulakis, Georgios, 2010. "Do subjective expectations explain asset pricing puzzles?," Journal of Financial Economics, Elsevier, vol. 98(3), pages 462-477, December.
  74. Shin, Michael, 2021. "Subjective expectations, experiences, and stock market participation: Evidence from the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 672-689.
  75. Zhang, Xuetong & Zhang, Weiguo, 2023. "Information asymmetry, sentiment interactions, and asset price," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
  76. Beker, Pablo F. & Espino, Emilio, 2013. "Too Good to Be True: Asset Pricing Implications of Pessimism," Economic Research Papers 270428, University of Warwick - Department of Economics.
  77. Pauline Gandré, 2020. "Learning, house prices and macro-financial linkages," EconomiX Working Papers 2020-10, University of Paris Nanterre, EconomiX.
  78. Roger Farmer & Jean-Philippe Bouchaud, 2020. "Self-Fulfilling Prophecies, Quasi Non-Ergodicity & Wealth Inequality," NBER Working Papers 28261, National Bureau of Economic Research, Inc.
  79. Zhang, Tongbin, 2014. "Stock Price, Real Riskless Interest Rate and Learning," MPRA Paper 57090, University Library of Munich, Germany.
  80. Michele Berardi, 2015. "Prices, fundamental values and learning," Centre for Growth and Business Cycle Research Discussion Paper Series 214, Economics, The University of Manchester.
  81. Branch, William A., 2016. "Imperfect knowledge, liquidity and bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 17-42.
  82. Zhang, Wei & Zhou, Zhong-Qiang & Xiong, Xiong, 2019. "Behavioral heterogeneity and excess stock price volatility in China," Finance Research Letters, Elsevier, vol. 28(C), pages 348-354.
  83. Homburg, Stefan, 2017. "A Study in Monetary Macroeconomics," OUP Catalogue, Oxford University Press, number 9780198807537.
  84. Adam, Klaus & Beutel, Johannes & Marcet, Albert & Merkel, Sebastian, 2015. "Can a financial transaction tax prevent stock price booms?," Journal of Monetary Economics, Elsevier, vol. 76(S), pages 90-109.
  85. George A. Waters, 2011. "Endogenous Rational Bubbles," Working Paper Series 20111003, Illinois State University, Department of Economics.
  86. Thanh Trung Huynh & Minh Hieu Nguyen & Thanh Tam Nguyen & Phi Le Nguyen & Matthias Weidlich & Quoc Viet Hung Nguyen & Karl Aberer, 2022. "Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction," Papers 2211.07400, arXiv.org, revised Nov 2022.
  87. Isaac Loh & Gregory Phelan, 2019. "Dimensionality And Disagreement: Asymptotic Belief Divergence In Response To Common Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(4), pages 1861-1876, November.
  88. Yan, Ruzhen & Yue, Ding & Chen, Xudong & Wu, Xu, 2020. "Non-linear characterization and trend identification of liquidity in China's new OTC stock market based on multifractal detrended fluctuation analysis," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
  89. Michele Berardi, 2016. "Endogenous time-varying risk aversion and asset returns," Journal of Evolutionary Economics, Springer, vol. 26(3), pages 581-601, July.
  90. Duffy, John & Shin, Michael, 2024. "Heterogeneous experience and constant-gain learning," Journal of Economic Dynamics and Control, Elsevier, vol. 164(C).
  91. Klaus Adam & Oliver Pfäuti & Timo Reinelt, 2020. "Falling Natural Rates, Rising Housing Volatility and the Optimal Inflation Target," CRC TR 224 Discussion Paper Series crctr224_2020_235, University of Bonn and University of Mannheim, Germany.
  92. Winkler, Fabian, 2020. "The role of learning for asset prices and business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 42-58.
  93. Saffet Akdag & Ömer İskenderoglu & Andrew Adewale Alola, 2020. "The volatility spillover effects among risk appetite indexes: insight from the VIX and the rise," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 49-65, April.
  94. Hommes, Cars, 2018. "Behavioral & experimental macroeconomics and policy analysis: a complex systems approach," Working Paper Series 2201, European Central Bank.
  95. Demirer, Riza & Yuksel, Aydin & Yuksel, Asli, 2020. "Oil price uncertainty, global industry returns and active investment strategies," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
  96. Elias, Christopher J., 2016. "Asset pricing with expectation shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 68-82.
  97. Kuang, Pei & Mitra, Kaushik, 2016. "Long-run growth uncertainty," Journal of Monetary Economics, Elsevier, vol. 79(C), pages 67-80.
  98. John Fender, 2020. "Beyond the efficient markets hypothesis: Towards a new paradigm," Bulletin of Economic Research, Wiley Blackwell, vol. 72(3), pages 333-351, July.
  99. Boehl, Gregor, 2022. "Monetary policy and speculative asset markets," European Economic Review, Elsevier, vol. 148(C).
  100. Xiao Yang & Weiqing Liu & Dong Zhou & Jiang Bian & Tie-Yan Liu, 2020. "Qlib: An AI-oriented Quantitative Investment Platform," Papers 2009.11189, arXiv.org.
  101. Ali, Syed Zahid & Anwar, Sajid, 2017. "Exchange rate pass through, cost channel to monetary policy transmission, adaptive learning, and the price puzzle," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 69-82.
  102. Gomes, Orlando, 2009. "Adaptive learning and complex dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 42(2), pages 1206-1213.
  103. Manuel Macera & Albert Marcet & Juan Pablo Nicolini, 2019. "On the Risk of Leaving the Euro," Working Papers 760, Federal Reserve Bank of Minneapolis.
  104. Souropanis, Ioannis & Vivian, Andrew, 2023. "Forecasting realized volatility with wavelet decomposition," Journal of Empirical Finance, Elsevier, vol. 74(C).
  105. Ahmad Hamidi, Hakimah Nur & Khalid, Norlin & Abdul Karim, Zulkefly, 2018. "Revisiting Relationship Between Malaysian Stock Market Index and Selected Macroeconomic Variables Using Asymmetric Cointegration," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(1), pages 311-319.
  106. Sergio Santoro, 2011. "Heterogeneity and learning with complete markets," Temi di discussione (Economic working papers) 806, Bank of Italy, Economic Research and International Relations Area.
  107. Katsuhiro Oshima, 2019. "Heterogeneous Beliefs, Monetary Policy, and Stock Price Volatility," KIER Working Papers 1013, Kyoto University, Institute of Economic Research.
  108. Michele Berardi, 2016. "Herding through learning in an asset pricing model," Centre for Growth and Business Cycle Research Discussion Paper Series 223, Economics, The University of Manchester.
  109. Jia, Fei & Shen, Yao & Ren, Junfan & Xu, Xiangyun, 2021. "The impact of offshore exchange rate expectations on onshore exchange rates: The case of Chinese RMB," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
  110. Feng He & Libo Yin, 2021. "Shocks to the equity capital ratio of financial intermediaries and the predictability of stock return volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 945-962, September.
  111. Nguyen, Quynh Nhu & Waters, George A., 2022. "Detecting periodically collapsing bubbles in the S&P 500," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 83-91.
  112. Zhao, Guihai, 2017. "Confidence, bond risks, and equity returns," Journal of Financial Economics, Elsevier, vol. 126(3), pages 668-688.
  113. Nicholas Kozeniauskas & Anna Orlik & Laura Veldkamp, 2016. "The Common Origin of Uncertainty Shocks," NBER Working Papers 22384, National Bureau of Economic Research, Inc.
  114. Mensi, Walid & Al Rababa'a, Abdel Razzaq & Alomari, Mohammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Dynamic frequency volatility spillovers and connectedness between strategic commodity and stock markets: US-based sectoral analysis," Resources Policy, Elsevier, vol. 79(C).
  115. Ellison, Martin & Scott, Andrew, 2013. "Learning and price volatility in duopoly models of resource depletion," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 806-820.
  116. Shuo Sun & Rundong Wang & Bo An, 2022. "Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach," Papers 2207.07578, arXiv.org.
  117. Pei Kuang & Kaushik Mitra, 2022. "Potential Output Pessimism and Austerity in the European Union," Discussion Papers 22-08, Department of Economics, University of Birmingham.
  118. Torsten Trimborn & Philipp Otte & Simon Cramer & Maximilian Beikirch & Emma Pabich & Martin Frank, 2020. "SABCEMM: A Simulator for Agent-Based Computational Economic Market Models," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 707-744, February.
  119. Sergio Santoro, 2017. "Heterogeneity and learning with complete markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 64(1), pages 183-211, June.
  120. Li, Kai & Liu, Jun, 2023. "Extrapolative asset pricing," Journal of Economic Theory, Elsevier, vol. 210(C).
  121. repec:nbr:nberch:12923 is not listed on IDEAS
  122. von Gaudecker, Hans-Martin & Wogrolly, Axel, 2022. "Heterogeneity in households’ stock market beliefs," Journal of Econometrics, Elsevier, vol. 231(1), pages 232-247.
  123. Miura, Shogo, 2023. "Households’ assets, sentiment shocks and business cycles," Economic Modelling, Elsevier, vol. 118(C).
  124. Pei Kuang & Renbin Zhang & Tongbin Zhang, 2019. "New Tests of Expectation Formation with Applications to Asset Pricing Models," Discussion Papers 19-05, Department of Economics, University of Birmingham.
  125. Wang, Kaiyang & Yang, Haizhen, 2018. "The price-volume relationship caused by asset allocation based on Kelly criterion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1-8.
  126. Alexander Mayer, 2022. "Estimation and inference in adaptive learning models with slowly decreasing gains," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 720-749, September.
  127. Jess Benhabib & Chetan Dave, 2014. "Learning, Large Deviations and Rare Events," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 367-382, July.
  128. Shurojit Chatterji & Atsushi Kajii, 2024. "Rich by Accident: the Second Welfare Theorem with a Redundant Asset Under Imperfect Foresight," Working Papers on Central Bank Communication 048, University of Tokyo, Graduate School of Economics.
  129. Xu, Hai-Chuan & Zhang, Wei & Xiong, Xiong & Wang, Xue & Zhou, Wei-Xing, 2021. "The double-edged role of social learning: Flash crash and lower total volatility," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 405-420.
  130. Anais Maillet, 2015. "Food price volatility and farmers' production decisions under imperfect information," FOODSECURE Technical papers 8, LEI Wageningen UR.
  131. Bask, Mikael, 2009. "Monetary Policy, Stock Price Misalignments and Macroeconomic Instability," Working Papers 540, Hanken School of Economics.
  132. Georges, Christophre, 2008. "Staggered updating in an artificial financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2809-2825, September.
  133. Pascal Kieren & Jan Müller-Dethard & Martin Weber, 2023. "Risk-Taking and Asymmetric Learning in Boom and Bust Markets," Review of Finance, European Finance Association, vol. 27(5), pages 1743-1779.
  134. Anggraini Dewi & Phonwattana Somsathid & Sudawan Somjai & Erlane K. Ghani & Zulfikar Bagus Pambuko, 2019. "Stock Market Trends and Oil Prices: Evidence from a Developing Country," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 13(3), September.
  135. Tolhurst, Tor N., 2018. "A Model-Free Bubble Detection Method: Application to the World Market for Superstar Wines," 2018 Annual Meeting, August 5-7, Washington, D.C. 274387, Agricultural and Applied Economics Association.
  136. Asparouhova, Elena & Bossaerts, Peter & Roy, Nilanjan & Zame, William, 2015. "'Lucas' In The Laboratory (forthcoming in Journal of Finance)," Economics Series 314, Institute for Advanced Studies.
  137. Evans, David & Evans, George W. & McGough, Bruce, 2022. "Bounded rationality and unemployment dynamics," Economics Letters, Elsevier, vol. 210(C).
  138. Michael William Ashby & Oliver Bruce Linton, 2024. "Do Consumption-Based Asset Pricing Models Explain the Dynamics of Stock Market Returns?," JRFM, MDPI, vol. 17(2), pages 1-42, February.
  139. Oesinghaus, Andreas, 2024. "Analysts’ extrapolative expectations in the cross-section," Journal of Economics and Business, Elsevier, vol. 130(C).
  140. Tan, Zhengxun & Tang, Qianqian & Meng, Juan, 2022. "The effect of monetary policy on China’s housing prices before and after 2017: A dynamic analysis in DSGE model," Land Use Policy, Elsevier, vol. 113(C).
  141. Orlando Gomes, 2008. "Local Learning Dynamics," Economics Bulletin, AccessEcon, vol. 3(57), pages 1-15.
  142. Juselius, Katarina & Stillwagon, Josh R., 2018. "Are outcomes driving expectations or the other way around? An I(2) CVAR analysis of interest rate expectations in the dollar/pound market," Journal of International Money and Finance, Elsevier, vol. 83(C), pages 93-105.
  143. Colin C. Caines & Fabian Winkler, 2018. "Asset Price Learning and Optimal Monetary Policy," International Finance Discussion Papers 1236, Board of Governors of the Federal Reserve System (U.S.).
  144. Gandré, Pauline, 2020. "US stock prices and recency-biased learning in the run-up to the Global Financial Crisis and its aftermath," Journal of International Money and Finance, Elsevier, vol. 104(C).
  145. Gandré, Pauline, 2015. "Asset prices and information disclosure under recency-biased learning," CEPREMAP Working Papers (Docweb) 1515, CEPREMAP.
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