IDEAS home Printed from https://ideas.repec.org/a/oup/revfin/v20y2016i2p823-853..html
   My bibliography  Save this article

Information Processing and Non-Bayesian Learning in Financial Markets

Author

Listed:
  • 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.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rof/rfv002
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. John H. Cochrane, 2017. "Macro-Finance," Review of Finance, European Finance Association, vol. 21(3), pages 945-985.
    2. Malmendier, Ulrike & Pouzo, Demian & Vanasco, Victoria, 2020. "Investor experiences and financial market dynamics," Journal of Financial Economics, Elsevier, vol. 136(3), pages 597-622.
    3. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2022. "Overreaction and Diagnostic Expectations in Macroeconomics," Journal of Economic Perspectives, American Economic Association, vol. 36(3), pages 223-244, Summer.
    4. Adam, Klaus & Merkel, Sebastian, 2019. "Stock price cycles and business cycles," Working Paper Series 2316, European Central Bank.
    5. Malmendier, Ulrike & Pouzo, Demian & Vanasco, Victoria, 2020. "Investor experiences and international capital flows," Journal of International Economics, Elsevier, vol. 124(C).
    6. Roger Farmer, 2014. "Asset Prices in a Lifecycle Economy," NBER Working Papers 19958, National Bureau of Economic Research, Inc.
    7. Valentin Haddad & Serhiy Kozak & Shrihari Santosh & Stijn Van Nieuwerburgh, 2020. "Factor Timing," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 1980-2018.
    8. Leland Farmer & Roger Farmer, 2022. "Zoomers and Boomers: Asset Prices and Intergenerational Inequality," NBER Working Papers 30419, National Bureau of Economic Research, Inc.
    9. Schmitt, Noemi & Westerhoff, Frank, 2014. "Speculative behavior and the dynamics of interacting stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 262-288.
    10. Stefano Giglio & Matteo Maggiori & Johannes Stroebel & Stephen Utkus, 2021. "Five Facts about Beliefs and Portfolios," American Economic Review, American Economic Association, vol. 111(5), pages 1481-1522, May.
    11. Stefano Giglio & Bryan Kelly, 2018. "Excess Volatility: Beyond Discount Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 71-127.
    12. Stefan Nagel & Zhengyang Xu, 2022. "Asset Pricing with Fading Memory," The Review of Financial Studies, Society for Financial Studies, vol. 35(5), pages 2190-2245.
    13. 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.
    14. Jessica A. Wachter, 2020. "Comment on "Imperfect Expectations: Theory and Evidence"," NBER Chapters, in: NBER Macroeconomics Annual 2020, volume 35, pages 87-98, National Bureau of Economic Research, Inc.
    15. Calvet, Laurent-Emmanuel & Grandmont, Jean-Michel & Lemaire, Isabelle, 2018. "Aggregation of heterogenous beliefs, asset pricing, and risk sharing in complete financial markets," Research in Economics, Elsevier, vol. 72(1), pages 117-146.
    16. Christian Heyerdahl-Larsen & Philipp Illeditsch, 2018. "Demand Disagreement," 2018 Meeting Papers 607, Society for Economic Dynamics.
    17. Heinke, Steve & Olschewski, Sebastian & Rieskamp, Jörg, 2022. "Experiences and Asset Price Dynamics," VfS Annual Conference 2022 (Basel): Big Data in Economics 264017, Verein für Socialpolitik / German Economic Association.
    18. Rojo Suárez, Javier & Alonso Conde, Ana Belén & Ferrero Pozo, Ricardo, 2020. "European equity markets: Who is the truly representative investor?," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 325-346.
    19. 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.
    20. Tyler Muir, 2017. "Financial Crises and Risk Premia," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 765-809.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:revfin:v:20:y:2016:i:2:p:823-853.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eufaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.