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Information Processing and Non-Bayesian Learning in Financial Markets

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  • Stefanie Schraeder

Abstract

Ample empirical and experimental evidence documents that individuals place greater weight on information gained through personal experience—a phenomenon that Tversky and Kahneman call availability bias. I embed this bias in an overlapping generations equilibrium model in which the period that investors first enter the market establishes the starting point of their experience history. The difference in the individuals’ experience leads to heterogeneity among agents and perceived noise trading. The model captures several empirical findings. It explains why returns on high-volume trading days tend to revert. Furthermore, it provides explanations for a high trading volume, a connection between trading volume and volatility, excess volatility, and overreaction and reversal patterns. Consistent with empirical evidence, young investors buy high and sell low, trade frequently, and obtain lower returns. For intraday trading, it predicts a high trading volume around the opening hours, especially for cross-listed stocks.

Suggested Citation

  • Stefanie Schraeder, 2016. "Information Processing and Non-Bayesian Learning in Financial Markets," Review of Finance, European Finance Association, vol. 20(2), pages 823-853.
    • Handle: RePEc:oup:revfin:v:20:y:2016:i:2:p:823-853.
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    References listed on IDEAS

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    1. Felix KUBLER & Karl SCHMEDDERS, 2010. "Life-Cycle Portfolio Choice, the Wealth Distribution and Asset Prices," Swiss Finance Institute Research Paper Series 10-21, Swiss Finance Institute.
    2. Paul Ehling & Alessandro Graniero & Christian Heyerdahl-Larsen, 2018. "Asset Prices and Portfolio Choice with Learning from Experience," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1752-1780.
    3. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2015. "X-CAPM: An extrapolative capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 115(1), pages 1-24.
    4. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    5. Lobato, Ignacio N & Velasco, Carlos, 2000. "Long Memory in Stock-Market Trading Volume," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(4), pages 410-427, October.
    6. Nicolae Gârleanu & Stavros Panageas, 2015. "Young, Old, Conservative, and Bold: The Implications of Heterogeneity and Finite Lives for Asset Pricing," Journal of Political Economy, University of Chicago Press, vol. 123(3), pages 670-685.
    7. John R. Graham & Campbell R. Harvey, 2001. "Expectations of Equity Risk Premia, Volatility and Asymmetry from a Corporate Finance Perspective," NBER Working Papers 8678, National Bureau of Economic Research, Inc.
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