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Herding in a Laboratory Asset Market with a Rich Action Set

Author

Listed:
  • Lora R. Todorova

    () (Faculty of Economics and Management, Otto-von-Guericke University Magdeburg)

  • Bodo Vogt

    () (Faculty of Economics and Management, Otto-von-Guericke University Magdeburg)

Abstract

This paper experimentally examines the efficiency of information aggregation in a simple asset market. Traders decide how to allocate an endowment of 1000 eurocent between two assets. Only one asset will be successful and that will pay back the amount invested in it. The experiment carried out here is original in that it considered a very rich action set. We find that when the action set is sufficiently rich, traders' actions, most of the time, perfectly reveal their private information. Further, the participants in the experiment performed probability matching and took such actions, which were broadly consistent with Bayesian learning.

Suggested Citation

  • Lora R. Todorova & Bodo Vogt, 2012. "Herding in a Laboratory Asset Market with a Rich Action Set," FEMM Working Papers 120022, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
  • Handle: RePEc:mag:wpaper:120022
    as

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    File URL: http://www.fww.ovgu.de/fww_media/femm/femm_2012/2012_22.pdf
    File Function: First version, 2011
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    References listed on IDEAS

    as
    1. Forsythe, Robert & Forrest Nelson & George R. Neumann & Jack Wright, 1992. "Anatomy of an Experimental Political Stock Market," American Economic Review, American Economic Association, vol. 82(5), pages 1142-1161, December.
    2. Mathias Drehmann & Jörg Oechssler & Andreas Roider, 2005. "Herding and Contrarian Behavior in Financial Markets: An Internet Experiment," American Economic Review, American Economic Association, pages 1403-1426.
    3. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    4. Bondarenko, Oleg & Bossaerts, Peter, 2000. "Expectations and learning in Iowa," Journal of Banking & Finance, Elsevier, vol. 24(9), pages 1535-1555, September.
    5. Marco Cipriani & Antonio Guarino, 2005. "Herd Behavior in a Laboratory Financial Market," American Economic Review, American Economic Association, pages 1427-1443.
    6. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    7. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    8. Russ Wermers, 1999. "Mutual Fund Herding and the Impact on Stock Prices," Journal of Finance, American Finance Association, vol. 54(2), pages 581-622, April.
    9. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    10. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
    11. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, Oxford University Press, vol. 107(3), pages 797-817.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    information cascade; information aggregation; herding; probability matching; Bayes' rule;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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