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Financial Market in the Laboratory

Author

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  • Andrea Morone

Abstract

This paper investigates experimentally a market inspired by two separate strands of economic literature. The first strand is that of herd behaviour in non-market situations and the second that of the aggregation of private information in markets. The first suggests that socially undesirable herd behaviour may result when information is private; the second suggests that in a market context the private information may be aggregated efficiently through the price mechanism. The latter literature therefore suggests that socially undesirable behaviour may be eliminated through the market mechanism. We tested this hypothesis experimentally, in a very simple extension of a herd model into a market context, and found that many of the stylised facts of financial markets (i.e. fat tails of the distribution of returns and autoregressive dependence in volatility) can be reproduced in our experimental market.
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Suggested Citation

  • Andrea Morone, 2002. "Financial Market in the Laboratory," Computing in Economics and Finance 2002 151, Society for Computational Economics.
  • Handle: RePEc:sce:scecf2:151
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    References listed on IDEAS

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    1. Iori, Giulia, 2002. "A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 269-285, October.
    2. 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.
    3. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    4. LeRoy, Stephen F, 1989. "Efficient Capital Markets and Martingales," Journal of Economic Literature, American Economic Association, vol. 27(4), pages 1583-1621, December.
    5. Chen, Shu-Heng & Lux, Thomas & Marchesi, Michele, 2001. "Testing for non-linear structure in an artificial financial market," Journal of Economic Behavior & Organization, Elsevier, vol. 46(3), pages 327-342, November.
    6. Day, Richard H. & Huang, Weihong, 1990. "Bulls, bears and market sheep," Journal of Economic Behavior & Organization, Elsevier, vol. 14(3), pages 299-329, December.
    7. Arifovic, Jasmina & Gencay, Ramazan, 2000. "Statistical properties of genetic learning in a model of exchange rate," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 981-1005, June.
    8. repec:cdl:ucsbec:13-89 is not listed on IDEAS
    9. Longin, Francois M, 1996. "The Asymptotic Distribution of Extreme Stock Market Returns," The Journal of Business, University of Chicago Press, vol. 69(3), pages 383-408, July.
    10. Lux, T. & M. Marchesi, "undated". "Volatility Clustering in Financial Markets: A Micro-Simulation of Interacting Agents," Discussion Paper Serie B 437, University of Bonn, Germany, revised Jul 1998.
    11. Chen, Shu-Heng & Lux, Thomas & Marchesi, Michele, 2001. "Testing for non-linear structure in an artificial financial market," Journal of Economic Behavior & Organization, Elsevier, vol. 46(3), pages 327-342, November.
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    Citations

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    Cited by:

    1. Andrea Morone & Eleni Samanidou, 2008. "A simple note on herd behaviour," Journal of Evolutionary Economics, Springer, pages 639-646.
      • Andrea Morone & Eleni Samanidou, 2007. "A simple note on Herd Behaviour," SERIES 0013, Dipartimento di Economia e Finanza - Universit√† degli Studi di Bari "Aldo Moro", revised Feb 2007.
    2. Fiore, Annamaria & Morone, Andrea, 2008. "A Simple Note on Informational Cascades," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 2, pages 1-21.
    3. Annamaria Fiore & Andrea Morone, 2005. "Is playing alone in the darkness sufficient to prevent informational cascades?," Papers on Strategic Interaction 2005-09, Max Planck Institute of Economics, Strategic Interaction Group.

    More about this item

    Keywords

    herd bhaviour; fat tail volatility clustering;

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • G1 - Financial Economics - - General Financial Markets

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