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Informational cascades with endogenous prices: The role of risk aversion

Author

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  • Stefano Lovo

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • J. P. Décamps

Abstract

In this paper, we show that long run market informational inefficiency and informational cascades can easily happen when trades occur at market clearing prices. We consider a sequential trade model where: (i) the investors' set of actions is discrete; (ii) dealers and investors differ in risk aversion; (iii) investors' information is bounded. We show that informational cascade occurs as soon as traders' beliefs do not differ too sharply. Thus, prices cannot fully incorporate the private information dispersed in the economy

Suggested Citation

  • Stefano Lovo & J. P. Décamps, 2006. "Informational cascades with endogenous prices: The role of risk aversion," Post-Print halshs-00009853, HAL.
  • Handle: RePEc:hal:journl:halshs-00009853
    DOI: 10.1016/j.jmateco.2005.03.002
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    References listed on IDEAS

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    1. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, vol. 95(5), pages 1427-1443, December.
    2. Cipriani Marco & Guarino Antonio, 2008. "Herd Behavior and Contagion in Financial Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-56, October.
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    10. In Ho Lee, 1998. "Market Crashes and Informational Avalanches," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(4), pages 741-759.
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    Cited by:

    1. Olivier Loisel & Aude Pommeret & Franck Portier, 2012. "Monetary Policy and Herd Behavior : Leaning Against Bubbles," Working Papers 2012-25, Center for Research in Economics and Statistics.
    2. Cipriani Marco & Guarino Antonio, 2008. "Herd Behavior and Contagion in Financial Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-56, October.
    3. Christophe Bisière & Jean-Paul Décamps & Stefano Lovo, 2015. "Risk Attitude, Beliefs Updating, and the Information Content of Trades: An Experiment," Management Science, INFORMS, vol. 61(6), pages 1378-1397, June.
    4. Hong Liu & Jingyuan Wu & Qingshan Yang, 2017. "Inside Trading when the Market Deviates from the Semi-strong Efficient Condition," Annals of Economics and Finance, Society for AEF, vol. 18(1), pages 111-128, May.
    5. Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2021. "Information Cascades and Social Learning," Papers 2105.11044, arXiv.org.
    6. Dieter Nautz, "undated". "Herding in financial markets: Bridging the gap between theory and evidence," BDPEMS Working Papers 2013002, Berlin School of Economics.
    7. Liu, Hong & Zhang, Zhixiang, 2011. "Insider trading with public and shared information," Economic Modelling, Elsevier, vol. 28(4), pages 1756-1762, July.
    8. Simon Jurkatis & Stephanie Kremer & Dieter Nautz, 2012. "Correlated Trades and Herd Behavior in the Stock Market," SFB 649 Discussion Papers SFB649DP2012-035, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    9. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9164, University Library of Munich, Germany.
    10. Christopher Boortz, 2016. "Irrational Exuberance and Herding in Financial Markets," SFB 649 Discussion Papers SFB649DP2016-016, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    11. Irene Comeig & Ernesto Mesa-Vázquez & Pau Sendra-Pons & Amparo Urbano, 2020. "Rational Herding in Reward-Based Crowdfunding: An MTurk Experiment," Sustainability, MDPI, vol. 12(23), pages 1-21, November.
    12. Rüdiger, Jesper & Vigier, Adrien, 2019. "Learning about analysts," Journal of Economic Theory, Elsevier, vol. 180(C), pages 304-335.

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