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Dynamic Trading When You May Be Wrong

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  • Remorov, Alexander

Abstract

I analyze a model with heterogeneous investors who have incorrect beliefs about fundamentals. Investors think that they are right at first, but over time realize that they are wrong. The speed of the realization depends on investor confidence in own beliefs and arrival of new information. The model provides a tractable and clear link for how changing opinions translate into equilibrium dynamics for price, holdings, and expected profits. I am able to generate a wide range of realistic market behaviors, including momentum and reversals, as well as support and resistance levels in prices due to investors being reluctant to admit they are wrong.

Suggested Citation

  • Remorov, Alexander, 2015. "Dynamic Trading When You May Be Wrong," MPRA Paper 63964, University Library of Munich, Germany, revised 27 Apr 2015.
    • Handle: RePEc:pra:mprapa:63964
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    File URL: https://mpra.ub.uni-muenchen.de/63964/1/MPRA_paper_63964.pdf
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    References listed on IDEAS

    as
    1. Gervais, Simon & Odean, Terrance, 2001. "Learning to be Overconfident," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 1-27.
    2. Harrison Hong & Jeremy C. Stein, 2003. "Differences of Opinion, Short-Sales Constraints, and Market Crashes," The Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 487-525.
    3. Marco Ottaviani & Peter Norman Sørensen, 2015. "Price Reaction to Information with Heterogeneous Beliefs and Wealth Effects: Underreaction, Momentum, and Reversal," American Economic Review, American Economic Association, vol. 105(1), pages 1-34, January.
    4. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
    5. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 919-972.
    6. Snehal Banerjee & Ilan Kremer, 2010. "Disagreement and Learning: Dynamic Patterns of Trade," Journal of Finance, American Finance Association, vol. 65(4), pages 1269-1302, August.
    7. Daniel Andrei & Bruce Carlin & Michael Hasler, 2014. "Model Disagreement and Economic Outlook," NBER Working Papers 20190, National Bureau of Economic Research, Inc.
    8. Carol L. Osler, 2000. "Support for resistance: technical analysis and intraday exchange rates," Economic Policy Review, Federal Reserve Bank of New York, issue Jul, pages 53-68.
    9. Thomas R. Palfrey & Stephanie W. Wang, 2012. "Speculative Overpricing in Asset Markets With Information Flows," Econometrica, Econometric Society, vol. 80(5), pages 1937-1976, September.
    10. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    11. Brad M. Barber & Yi‐Tsung Lee & Yu‐Jane Liu & Terrance Odean, 2007. "Is the Aggregate Investor Reluctant to Realise Losses? Evidence from Taiwan," European Financial Management, European Financial Management Association, vol. 13(3), pages 423-447, June.
    12. Chan, Wesley S., 2003. "Stock price reaction to news and no-news: drift and reversal after headlines," Journal of Financial Economics, Elsevier, vol. 70(2), pages 223-260, November.
    13. Stephanie Wang, 2012. "Speculative Overpricing in Asset Markets with Information Flows," Working Paper 489, Department of Economics, University of Pittsburgh, revised Jan 2012.
    14. Clifford S. Asness & Tobias J. Moskowitz & Lasse Heje Pedersen, 2013. "Value and Momentum Everywhere," Journal of Finance, American Finance Association, vol. 68(3), pages 929-985, June.
    15. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    16. Moskowitz, Tobias J. & Ooi, Yao Hua & Pedersen, Lasse Heje, 2012. "Time series momentum," Journal of Financial Economics, Elsevier, vol. 104(2), pages 228-250.
    17. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    18. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    19. Bremer, Marc & Sweeney, Richard J, 1991. "The Reversal of Large Stock-Price Decreases," Journal of Finance, American Finance Association, vol. 46(2), pages 747-754, June.
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    More about this item

    Keywords

    Asset Pricing; Learning; Being Wrong; Heterogeneous Beliefs; Behavioral Finance;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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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