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Risk attitude, beliefs updating and the information content of trades : an experiment

Author

Listed:
  • 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)

  • Christophe Bisière

  • Jean-Paul Decamps

Abstract

We conduct a series of experiments that simulate trading in financial markets and which allows us to identify the different effects that subjects¿ risk attitudes and belief updating rules have on the information content of the order flow. We find that there are very few risk-neutral subjects and that subjects displaying risk aversion or risk-loving tend to ignore private information when their prior beliefs on the asset fundamentals are strong. Consequently, private information struggles penetra

Suggested Citation

  • Stefano Lovo & Christophe Bisière & Jean-Paul Decamps, 2009. "Risk attitude, beliefs updating and the information content of trades : an experiment," Working Papers hal-00489272, HAL.
    • Handle: RePEc:hal:wpaper:hal-00489272
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    2. Choijil, Enkhbayar & Méndez, Christian Espinosa & Wong, Wing-Keung & Vieito, João Paulo & Batmunkh, Munkh-Ulzii, 2022. "Thirty years of herd behavior in financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    3. le Roux, Sara & Bopp, Fabian, 2025. "Social learning under ambiguity—An experimental study," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 114(C).
    4. Charness, Gary & Dave, Chetan, 2017. "Confirmation bias with motivated beliefs," Games and Economic Behavior, Elsevier, vol. 104(C), pages 1-23.

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    Keywords

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    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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