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Risk aversion in prediction markets: A framed-field experiment

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  • Béatrice Boulu-Reshef

    (UP1 - Université Paris 1 Panthéon-Sorbonne)

  • Irene Comeig
  • Robert Donze
  • Gregory Weiss

Abstract

To make better decisions today, companies and other economic agents are interested in getting accurate predictions of future events. Prediction markets can, at least potentially, give those accurate forecasts for the probability of the event by aggregating information from traders. However, formal studies highlight that the risk attitudes of market participants may bias the market equilibrium prices, and consequently make the prediction unreliable. This research examines the effect of participants' risk attitudes on prediction market prices, through a framed field experiment on the two semifinals at the 2015 NCAA Men's Division Basketball Tournament. The results of the experiment show a significant price difference between the risk-averse group and the less risk-averse group. The large price discrepancy between markets with participants with varying risk aversion suggests that risk aversion deserves a critical consideration in future prediction-market research and implementation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Béatrice Boulu-Reshef & Irene Comeig & Robert Donze & Gregory Weiss, 2016. "Risk aversion in prediction markets: A framed-field experiment," Post-Print hal-03533155, HAL.
    • Handle: RePEc:hal:journl:hal-03533155
    DOI: 10.1016/j.jbusres.2016.04.082
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    5. Cécile Bourreau-Dubois & Myriam Doriat-Duban & Bruno Jeandidier & Jean Claude Ray, 2020. "Do sentencing guidelines result in lower inter-judge disparity? Evidence from framed field experiment," Working Papers of BETA 2020-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    6. Cécile Bourreau-Dubois & Myriam Doriat-Duban & Bruno Jeandidier & Jean Claude Ray, 2020. "Do sentencing guidelines result in lower inter-judge disparity? Evidence from framed field experiment," Working Papers of BETA 2020-28, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

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