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Beliefs Aggregation and Return Predictability

Author

Listed:
  • Albert S. Kyle

    (Robert H. Smith School of Business, University of Maryland)

  • Anna Obizhaeva

    (New Economic School)

  • Yajun Wang

    (Robert H. Smith School of Business, University of Maryland)

Abstract

We study return predictability using a dynamic model of speculative trading among relatively overconfident competitive traders who agree to disagree about the precision of their private information. The return process depends on both parameter values used by traders and empirically correct parameter values. Although traders apply Bayes Law consistently, equilibrium returns are predictable based on current and past dividends and prices. We derive specific conditions under which excess returns exhibit realistic patterns of short-run momentum and long-run mean-reversion. We clarify the concepts of rational expectations and market efficiency in a setting with differences in beliefs.

Suggested Citation

  • Albert S. Kyle & Anna Obizhaeva & Yajun Wang, 2016. "Beliefs Aggregation and Return Predictability," Working Papers w0231, New Economic School (NES).
    • Handle: RePEc:abo:neswpt:w0231
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    File URL: https://www.nes.ru/files/Preprints-resh/WP231.pdf
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    References listed on IDEAS

    as
    1. Grossman, Sanford J, 1976. "On the Efficiency of Competitive Stock Markets Where Trades Have Diverse Information," Journal of Finance, American Finance Association, vol. 31(2), pages 573-585, May.
    2. Oleg Rytchkov, 2012. "Filtering Out Expected Dividends and Expected Returns," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-56.
    3. Tirole, Jean, 1982. "On the Possibility of Speculation under Rational Expectations," Econometrica, Econometric Society, vol. 50(5), pages 1163-1181, September.
    4. Detemple Jerome & Murthy Shashidhar, 1994. "Intertemporal Asset Pricing with Heterogeneous Beliefs," Journal of Economic Theory, Elsevier, vol. 62(2), pages 294-320, April.
    5. JULES H. Van BINSBERGEN & RALPH S. J. KOIJEN, 2010. "Predictive Regressions: A Present‐Value Approach," Journal of Finance, American Finance Association, vol. 65(4), pages 1439-1471, August.
    6. Anna, Petrenko, . "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(01).
    7. Laurent Calvet & Jean-Michel Grandmont & Isabelle Lemaire, 2001. "Aggregation of Heterogenous Beliefs and Asset Pricing in Complete Financial Markets," Working Papers 2001-01, Center for Research in Economics and Statistics.
    8. 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.
    9. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," The Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    10. Andrew Ang & Geert Bekaert, 2007. "Stock Return Predictability: Is it There?," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 651-707.
    11. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    12. Elyès Jouini & Clotilde Napp, 2007. "Consensus Consumer and Intertemporal Asset Pricing with Heterogeneous Beliefs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(4), pages 1149-1174.
    13. repec:dau:papers:123456789/78 is not listed on IDEAS
    14. Albert S. Kyle & Anna Obizhaeva & Yajun Wang, 2016. "Smooth Trading with Overconfidence and Market Power," Working Papers w0226, New Economic School (NES).
    15. Basak, Suleyman, 2005. "Asset pricing with heterogeneous beliefs," Journal of Banking & Finance, Elsevier, vol. 29(11), pages 2849-2881, November.
    16. Hirshleifer, Jack, 1977. "The Theory of Speculation under Alternative Regimes of Markets," Journal of Finance, American Finance Association, vol. 32(4), pages 975-999, September.
    17. Dong Lou, 2012. "A Flow-Based Explanation for Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 25(12), pages 3457-3489.
    18. Albert S Kyle & Anna A Obizhaeva & Yajun Wang, 2018. "Smooth Trading with Overconfidence and Market Power," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 611-662.
    19. Martijn Cremers & Ankur Pareek, 2015. "Short-Term Trading and Stock Return Anomalies: Momentum, Reversal, and Share Issuance," Review of Finance, European Finance Association, vol. 19(4), pages 1649-1701.
    20. LeRoy, Stephen F, 1973. "Risk Aversion and the Martingale Property of Stock Prices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(2), pages 436-446, June.
    21. John H. Cochrane, 2008. "The Dog That Did Not Bark: A Defense of Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1533-1575, July.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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