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What Can Rational Investors Do About Excessive Volatility and Sentiment Fluctuations?

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Listed:
  • Bernard Dumas

    (INSEAD, University of Pennsylvania (The Wharton School), CEPR and NBER)

  • Alexander Kurshev

    (London Business School)

  • Raman Uppal

    (London Business School and CEPR)

Abstract

Our objective is to understand the trading strategy that would allow an investor to take advantage of “excessive” stock price volatility and “sentiment” fluctuations. We construct a general equilibrium model of sentiment. In it, there are two classes of agents and stock prices are excessively volatile because one class is overconfident about a public signal. As a result, this class of irrational agents changes its expectations too often, sometimes being excessively optimistic, sometimes being excessively pessimistic. We determine and analyze the trading strategy of the rational investors who are not overconfident about the signal. We find that because irrational traders introduce an additional source of risk, rational investors reduce the proportion of wealth invested into equity except when they are extremely optimistic about future growth. Moreover, their optimal portfolio strategy is based not just on a current price divergence but also on a model of irrational behavior and a prediction concerning the speed of convergence. Thus, the portfolio strategy includes a protection in case there is a deviation from that prediction. We find that long maturity bonds are an essential accompaniment of equity investment, as they serve to hedge this “sentiment risk.” Even though rational investors find it beneficial to trade on their belief that the market is excessively volatile, the answer to the question posed in the title is: “There is little that rational investors can do optimally to exploit, and hence, eliminate excessive volatility, except in the very long run.”

Suggested Citation

  • Bernard Dumas & Alexander Kurshev & Raman Uppal, 2006. "What Can Rational Investors Do About Excessive Volatility and Sentiment Fluctuations?," Swiss Finance Institute Research Paper Series 06-19, Swiss Finance Institute.
  • Handle: RePEc:chf:rpseri:rp0619
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    Cited by:

    1. Pouget, Sébastien & Villeneuve, Stéphane, 2012. "A Mind is a Terrible Thing to Change: Confirmation Bias in Financial Markets," IDEI Working Papers 720, Institut d'Économie Industrielle (IDEI), Toulouse, revised Aug 2016.
    2. Tarek A. Hassan & Thomas M. Mertens, 2017. "The Social Cost of Near-Rational Investment," American Economic Review, American Economic Association, vol. 107(4), pages 1059-1103, April.
    3. 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.
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    6. Crystal Lin & Hamid Rahman & Kenneth Yung, 2009. "Investor Sentiment and REIT Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 39(4), pages 450-471, November.
    7. Han, Bing & Hirshleifer, David & Wang, Tracy Yue, 2005. "Investor Overconfidence and the Forward Discount Puzzle," Working Paper Series 2005-21, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    8. Kenneth J. Singleton, 2014. "Investor Flows and the 2008 Boom/Bust in Oil Prices," Management Science, INFORMS, vol. 60(2), pages 300-318, February.
    9. A. A. Brown, 2009. "Heterogeneous Beliefs with Partial Observations," Papers 0907.4950, arXiv.org.
    10. Bertrand BLANCHETON & Yves JEGOUREL, 2009. "Sovereign wealth funds: toward a new state capitalism? (In French)," Cahiers du GREThA (2007-2019) 2009-04, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
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    More about this item

    Keywords

    Bayesian behavior; irrational behavior; financial-market equilibrium; excess volatility; risk premia; noise traders; survival.;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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