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Excess Volatility and Predictability of Stock Prices in Autoregressive Dividend Models with Learning

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Cited by:

  1. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
  2. Gelain, Paolo & Lansing, Kevin J., 2014. "House prices, expectations, and time-varying fundamentals," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 3-25.
  3. In-Koo Cho & Kenneth Kasa, 2017. "Gresham's Law of Model Averaging," American Economic Review, American Economic Association, vol. 107(11), pages 3589-3616, November.
  4. Calvet, Laurent E. & Fisher, Adlai J., 2007. "Multifrequency news and stock returns," Journal of Financial Economics, Elsevier, vol. 86(1), pages 178-212, October.
  5. Adam, Klaus & Marcet, Albert, 2011. "Internal rationality, imperfect market knowledge and asset prices," Journal of Economic Theory, Elsevier, vol. 146(3), pages 1224-1252, May.
  6. Winkler, Fabian, 2020. "The role of learning for asset prices and business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 42-58.
  7. repec:zbw:bofrdp:2004_019 is not listed on IDEAS
  8. Brennan, Michael J. & Xia, Yihong, 2001. "Stock price volatility and equity premium," Journal of Monetary Economics, Elsevier, vol. 47(2), pages 249-283, April.
  9. Snell, Andy & Tonks, Ian & Bulkley, George, 1996. "Excessive stock price dispersion: a regression test of cross-sectional volatility," LSE Research Online Documents on Economics 119165, London School of Economics and Political Science, LSE Library.
  10. Kevin Lansing, 2009. "Time Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 304-326, April.
  11. Calvet, Laurent-Emmanuel & Czellar , Veronika, 2011. "state-observation sampling and the econometrics of learning models," HEC Research Papers Series 947, HEC Paris.
  12. Gandré, Pauline, 2015. "Asset prices and information disclosure under recency-biased learning," CEPREMAP Working Papers (Docweb) 1515, CEPREMAP.
  13. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01011701, HAL.
  14. William A. Branch & George W. Evans, 2011. "Learning about Risk and Return: A Simple Model of Bubbles and Crashes," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(3), pages 159-191, July.
  15. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Post-Print halshs-01215947, HAL.
  16. Goldbaum, David, 2005. "Market efficiency and learning in an endogenously unstable environment," Journal of Economic Dynamics and Control, Elsevier, vol. 29(5), pages 953-978, May.
  17. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.
  18. Kim, Young Se, 2009. "Exchange rates and fundamentals under adaptive learning," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 843-863, April.
  19. Bernales, Alejandro & Chen, Louisa & Valenzuela, Marcela, 2017. "Learning and forecasts about option returns through the volatility risk premium," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 312-330.
  20. Guidolin, Massimo & Timmermann, Allan, 2007. "Properties of equilibrium asset prices under alternative learning schemes," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 161-217, January.
  21. Klaus Adam & Albert Marcet, 2010. "Booms and Busts in Asset Prices," IMES Discussion Paper Series 10-E-02, Institute for Monetary and Economic Studies, Bank of Japan.
  22. Andrea Gaunersdorfer & Cars Hommes, 2007. "A Nonlinear Structural Model for Volatility Clustering," Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 265-288, Springer.
  23. David Goldbaum, 2013. "Learning and Adaptation as a Source of Market Failure," Working Paper Series 14, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  24. Tano Santos & Pietro Veronesi, 2000. "Labor Income and Predictable Stock Returns," CRSP working papers 520, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
  25. Bakshi, Gurdip & Skoulakis, Georgios, 2010. "Do subjective expectations explain asset pricing puzzles?," Journal of Financial Economics, Elsevier, vol. 98(3), pages 462-477, December.
  26. Hommes, Cars & Zhu, Mei, 2014. "Behavioral learning equilibria," Journal of Economic Theory, Elsevier, vol. 150(C), pages 778-814.
  27. Jeffrey R. Gerlach, 2005. "Imperfect Information and Stock Market Volatility," The Financial Review, Eastern Finance Association, vol. 40(2), pages 173-194, May.
  28. Ripamonti, Alexandre, 2013. "Rational Valuation Formula (RVF) and Time Variability in Asset Rates of Return," MPRA Paper 79460, University Library of Munich, Germany.
  29. Dooruj Rambaccussing, 2011. "Do Mean Reverting based trading strategies outperform Buy and Hold?," Working Papers 1113, Department of Applied Economics II, Universidad de Valencia.
  30. Shuo Cao, 2018. "Learning about Term Structure Predictability under Uncertainty," GRU Working Paper Series GRU_2018_006, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
  31. Liu, Yi-Fang & Zhang, Wei & Xu, Chao & Vitting Andersen, Jørgen & Xu, Hai-Chuan, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 204-215.
  32. Malmendier, Ulrike & Pouzo, Demian & Vanasco, Victoria, 2020. "Investor experiences and financial market dynamics," Journal of Financial Economics, Elsevier, vol. 136(3), pages 597-622.
  33. Calvet, Laurent E. & Czellar, Veronika, 2015. "Through the looking glass: Indirect inference via simple equilibria," Journal of Econometrics, Elsevier, vol. 185(2), pages 343-358.
  34. Diks, Cees & Dindo, Pietro, 2008. "Informational differences and learning in an asset market with boundedly rational agents," Journal of Economic Dynamics and Control, Elsevier, vol. 32(5), pages 1432-1465, May.
  35. Cogley, Timothy & Sargent, Thomas J., 2008. "The market price of risk and the equity premium: A legacy of the Great Depression?," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 454-476, April.
  36. Choi, Jae Hoon & Munro, David, 2022. "Market liquidity and excess volatility: Theory and experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
  37. Nonejad, Nima, 2019. "Forecasting aggregate equity return volatility using crude oil price volatility: The role of nonlinearities and asymmetries," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
  38. Brandt, M.W.Michael W. & Zeng, Qi & Zhang, Lu, 2004. "Equilibrium stock return dynamics under alternative rules of learning about hidden states," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 1925-1954, September.
  39. repec:wvu:wpaper:11-01 is not listed on IDEAS
  40. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
  41. Gurdip Bakshi, 2009. "Du subjectiv expectations explain asset pricing puzzles?," 2009 Meeting Papers 1234, Society for Economic Dynamics.
  42. Mejra Festić, 2006. "Procyclicality of Financial and Real Sector in Transition Economies," Prague Economic Papers, Prague University of Economics and Business, vol. 2006(4), pages 315-349.
  43. Paye, Bradley S., 2012. "‘Déjà vol’: Predictive regressions for aggregate stock market volatility using macroeconomic variables," Journal of Financial Economics, Elsevier, vol. 106(3), pages 527-546.
  44. Shwai He & Shi Gu, 2021. "Multi-modal Attention Network for Stock Movements Prediction," Papers 2112.13593, arXiv.org, revised Oct 2022.
  45. Head, Allen C. & Smith, Gregor W., 2003. "The CCAPM meets Euro-interest rate persistence, 1960-2000," Journal of International Economics, Elsevier, vol. 59(2), pages 349-366, March.
  46. Mordecai Kurz & Hehui Jin & Maurizio Motolese, 2005. "Determinants of stock market volatility and risk premia," Annals of Finance, Springer, vol. 1(2), pages 109-147, July.
  47. Goldbaum, David, 2006. "Self-organization and the persistence of noise in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1837-1855.
  48. 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.
  49. Tong, Chen & Huang, Zhuo & Wang, Tianyi & Zhang, Cong, 2023. "The effects of economic uncertainty on financial volatility: A comprehensive investigation," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 369-389.
  50. Adem Atmaz & Suleyman Basak, 2018. "Belief Dispersion in the Stock Market," Journal of Finance, American Finance Association, vol. 73(3), pages 1225-1279, June.
  51. Guse, Eran A., 2004. "Expectational business cycles," Bank of Finland Research Discussion Papers 19/2004, Bank of Finland.
  52. Larry G. Epstein & Martin Schneider, 2008. "Ambiguity, Information Quality, and Asset Pricing," Journal of Finance, American Finance Association, vol. 63(1), pages 197-228, February.
  53. Zhu, Xiaoneng, 2013. "Perpetual learning and stock return predictability," Economics Letters, Elsevier, vol. 121(1), pages 19-22.
  54. Castelnuovo, Efrem & Nisticò, Salvatore, 2010. "Stock market conditions and monetary policy in a DSGE model for the U.S," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1700-1731, September.
  55. Sögner, Leopold, 2015. "Learning, convergence and economic constraints," Mathematical Social Sciences, Elsevier, vol. 75(C), pages 27-43.
  56. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Working Papers 720, Queen Mary University of London, School of Economics and Finance.
  57. repec:zbw:bofrdp:2010_011 is not listed on IDEAS
  58. Jonathan Dark & Xin Gao & Thijs van der Heijden & Federico Nardari, 2022. "Forecasting variance swap payoffs," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2135-2164, December.
  59. 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.
  60. Berrada, Tony & Hugonnier, Julien, 2013. "Incomplete information, idiosyncratic volatility and stock returns," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 448-462.
  61. Sandrine Jacob Leal, 2015. "Fundamentalists, chartists and asset pricing anomalies," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1837-1850, November.
  62. Axioglou Christos & Skouras Spyros, 2015. "Asset pricing with flexible beliefs," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(4), pages 415-443, September.
  63. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Post-Print halshs-00983051, HAL.
  64. Michele Vodret & Bence Tóth & Iacopo Mastromatteo & Michael Benzaquen, 2022. "Do fundamentals shape the price response? A critical assessment of linear impact models," Post-Print hal-03797375, HAL.
  65. Castelnuovo, Efrem & Nisticò, Salvatore, 2010. "Stock market conditions and monetary policy in a DSGE model for the U.S," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1700-1731, September.
  66. Yi-Fang Liu & Wei Zhang & Chao Xu & J{o}rgen Vitting Andersen & Hai-Chuan Xu, 2013. "Impact of information cost and switching of trading strategies in an artificial stock market," Papers 1311.4274, arXiv.org, revised Jul 2014.
  67. Ghaderi, Mohammad & Kilic, Mete & Seo, Sang Byung, 2024. "Why do rational investors like variance at the peak of a crisis? A learning-based explanation," Journal of Monetary Economics, Elsevier, vol. 142(C).
  68. Kedar-Levy, Haim, 2020. "Price discovery in the small and in the large: Momentum and reversal, bubbles, and crashes," Journal of Financial Markets, Elsevier, vol. 48(C).
  69. Eran Guse, 2004. "Expectational Business Cycles," Money Macro and Finance (MMF) Research Group Conference 2004 97, Money Macro and Finance Research Group.
  70. Bullard, James & Duffy, John, 2001. "Learning And Excess Volatility," Macroeconomic Dynamics, Cambridge University Press, vol. 5(02), pages 272-302, April.
  71. Mr. Jacques A Miniane, 2004. "Productivity Shocks, Learning, and Open Economy Dynamics," IMF Working Papers 2004/088, International Monetary Fund.
  72. Michele Vodret & Iacopo Mastromatteo & Bence T'oth & Michael Benzaquen, 2021. "Do fundamentals shape the price response? A critical assessment of linear impact models," Papers 2112.04245, arXiv.org.
  73. Brennan, Michael & Xia, Yihong, 1997. "Stock Price Volatility, Learning, and the Equity Premium," University of California at Los Angeles, Anderson Graduate School of Management qt3zw2w634, Anderson Graduate School of Management, UCLA.
  74. Lubos Pastor & Pietro Veronesi, 2009. "Learning in Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 361-381, November.
  75. Jonathan Lewellen & Jay Shanken, 2000. "Estimation Risk, Market Efficiency, and the Predictability of Returns," NBER Working Papers 7699, National Bureau of Economic Research, Inc.
  76. Nonejad, Nima, 2023. "Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 91-122.
  77. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00983051, HAL.
  78. Uppal, Raman & Dumas, Bernard & Kurshev, Alexander, 2005. "What Can Rational Investors Do About Excessive Volatility and Sentiment Fluctuations?," CEPR Discussion Papers 5367, C.E.P.R. Discussion Papers.
  79. Eran Guse, 2004. "Expectational Business Cycles," Money Macro and Finance (MMF) Research Group Conference 2004 97, Money Macro and Finance Research Group.
  80. Andrea Gaunersdorfer & Cars Hommes & Florian Wagener, 2001. "Adaptive Beliefs and the volatility of asset prices," CeNDEF Workshop Papers, January 2001 5A.1, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  81. Michele Berardi, 2016. "Endogenous time-varying risk aversion and asset returns," Journal of Evolutionary Economics, Springer, vol. 26(3), pages 581-601, July.
  82. Matteo Formenti, 2014. "Can Market Risk Perception Drive Inefficient Prices? Theory and Evidence," Papers 1409.4890, arXiv.org.
  83. Yi-Fang Liu & Wei Zhang & Chao Xu & Jørgen Vitting Andersen & Hai-Chuan Xu, 2014. "Impact of information cost and switching of trading strategies in an artificial stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01215947, HAL.
  84. Sandrine Jacob Leal, 2015. "Fundamentalists, Chartists and Asset pricing anomalies," Post-Print hal-01508002, HAL.
  85. 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.
  86. Asger Lunde & Allan Timmermann, 2005. "Completion time structures of stock price movements," Annals of Finance, Springer, vol. 1(3), pages 293-326, August.
  87. K. Cuthbertson & D. Nitzsche & S. Hyde, 2007. "Monetary Policy And Behavioural Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 935-969, December.
  88. Guse, Eran A., 2014. "Adaptive learning, endogenous uncertainty, and asymmetric dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 355-373.
  89. Du, Kai, 2019. "Investor expectations, earnings management, and asset prices," Journal of Economic Dynamics and Control, Elsevier, vol. 105(C), pages 134-157.
  90. Chen, Qi & Francis, Jennifer & Jiang, Wei, 2005. "Investor learning about analyst predictive ability," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 3-24, February.
  91. Bernard Dumas & Alexander Kurshev & Raman Uppal, 2009. "Equilibrium Portfolio Strategies in the Presence of Sentiment Risk and Excess Volatility," Journal of Finance, American Finance Association, vol. 64(2), pages 579-629, April.
  92. Ortiz, Marco, 2013. "Learning Through the Yield Curve," Working Papers 2013-018, Banco Central de Reserva del Perú.
  93. Jonathan Lewellen & Jay Shanken, 2002. "Learning, Asset‐Pricing Tests, and Market Efficiency," Journal of Finance, American Finance Association, vol. 57(3), pages 1113-1145, June.
  94. Bernales, Alejandro & Guidolin, Massimo, 2015. "Learning to smile: Can rational learning explain predictable dynamics in the implied volatility surface?," Journal of Financial Markets, Elsevier, vol. 26(C), pages 1-37.
  95. Ghaderi, Mohammad & Kilic, Mete & Seo, Sang Byung, 2022. "Learning, slowly unfolding disasters, and asset prices," Journal of Financial Economics, Elsevier, vol. 143(1), pages 527-549.
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  97. David Goldbaum, 2004. "On the Possibility of Informationally Efficient Markets," Computing in Economics and Finance 2004 139, Society for Computational Economics.
  98. Nima Nonejad, 2021. "Bayesian model averaging and the conditional volatility process: an application to predicting aggregate equity returns by conditioning on economic variables," Quantitative Finance, Taylor & Francis Journals, vol. 21(8), pages 1387-1411, August.
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  100. Nonejad, Nima, 2020. "A comprehensive empirical analysis of the predictive impact of the price of crude oil on aggregate equity return volatility," Journal of Commodity Markets, Elsevier, vol. 20(C).
  101. Kevin J. Lansing, 2008. "Speculative growth and overreaction to technology shocks," Working Paper Series 2008-08, Federal Reserve Bank of San Francisco.
  102. Tano Santos & Pietro Veronesi, 2001. "Labor Income and Predictable Stock Returns," NBER Working Papers 8309, National Bureau of Economic Research, Inc.
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