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Beauty Contests and Fat Tails in Financial Markets

Author

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  • Makoto Nirei

    (Hitotsubashi University)

  • Tsutomu Watanabe

    (The University of Tokyo)

Abstract

Using a simultaneous-move herding model of rational traders who infer other traders' private information on the value of an asset by observing their aggregate actions, this study seeks to explain the emergence of fat-tailed distributions of transaction volumes and asset returns in financial markets. Without making any parametric assumptions on private information, we analytically show that traders' aggregate actions follow a power law distribution. We also provide simulation results to show that our model successfully reproduces the empirical distributions of asset returns. We argue that our model is similar to Keynes's beauty contest in the sense that traders, who are assumed to be homogeneous, have an incentive to mimic the average trader, leading to a situation similar to the indeterminacy of equilibrium. In this situation, a trader's buying action causes a stochastic chain-reaction, resulting in power laws for financial fluctuations.

Suggested Citation

  • Makoto Nirei & Tsutomu Watanabe, 2014. "Beauty Contests and Fat Tails in Financial Markets," CARF F-Series CARF-F-346, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  • Handle: RePEc:cfi:fseres:cf346
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    References listed on IDEAS

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    Cited by:

    1. Makoto Nirei & John Stachurski & Tsutomu Watanabe, 2018. "Trade Clustering and Power Laws in Financial Markets (Published in Theoretical Economics, 15:1365?1398, 2020)," CARF F-Series CARF-F-450, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    2. Koichiro Kamada & Ko Miura, 2014. "Confidence Erosion and Herding Behavior in Bond Markets: An Essay on Central Bank Communication Strategy," Bank of Japan Working Paper Series 14-E-6, Bank of Japan.

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    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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