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Information Aggregation with Heterogeneous Traders

Author

Listed:
  • Cary Deck

    (Department of Economics, Finance and Legal Studies, University of Alabama and Economic Science Institute, Chapman University)

  • Tae In Jun

    (Department of Economics, Finance and Legal Studies, University of Alabama)

  • Laura Razzolini

    (Department of Economics, Finance and Legal Studies, University of Alabama)

  • Tavoy Reid

    (Department of Economics, Finance and Legal Studies, University of Alabama)

Abstract

The efficient market hypothesis predicts that asset prices reflect all available information. A seminal experiment reported that contingent claim markets could yield market outcomes consistent with information aggregation when traders hold heterogeneous state-contingent values. However, a recent experiment found the rational expectation model outperformed the prior information and maxi-min models in contingent claim markets when traders hold homogeneous values despite the no trade equilibrium in that setting. But that same study failed to replicate the original result calling into question when, if ever, prices reliably reflect the aggregate information of traders with heterogeneous values. In this paper, we show contingent claim markets can robustly yield prices consistent with the efficient market hypothesis when traders hold heterogeneous values in certain circumstances. The key distinction between our environment and that of the previous studies is that we consider trader values that are correlated and not too dissimilar.

Suggested Citation

  • Cary Deck & Tae In Jun & Laura Razzolini & Tavoy Reid, 2022. "Information Aggregation with Heterogeneous Traders," Working Papers 22-13, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:22-13
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    File URL: https://digitalcommons.chapman.edu/esi_working_papers/374/
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    More about this item

    Keywords

    Information Aggregation; Rational Expectations; Laboratory Experiments;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • G1 - Financial Economics - - General Financial Markets

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