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Behavioral Biases Never Walk Alone

Author

Listed:
  • Isabel Abinzano
  • Luis Muga
  • Rafael Santamaria

Abstract

This article presents evidence of the impact of overconfidence bias in asset prices drawn from a study based on data from tennis betting exchanges. A series of betting strategies in tournaments with a clear-cut favorite are shown to yield significant economic returns. The impact of overconfidence bias on betting odds increases with trading volume, media coverage, and levels of disagreement between overconfident and cumulative prospect theory bettors. Just as in traditional financial markets, arbitrage limits are shown to be a necessary condition for the impact of behavioral biases on prices.

Suggested Citation

  • Isabel Abinzano & Luis Muga & Rafael Santamaria, 2017. "Behavioral Biases Never Walk Alone," Journal of Sports Economics, , vol. 18(2), pages 99-125, February.
    • Handle: RePEc:sae:jospec:v:18:y:2017:i:2:p:99-125
    DOI: 10.1177/1527002514560575
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    References listed on IDEAS

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    Cited by:

    1. Isabel Abinzano & Luis Muga & Rafael Santamaria, 2019. "Hidden Power of Trading Activity: The FLB in Tennis Betting Exchanges," Journal of Sports Economics, , vol. 20(2), pages 261-285, February.
    2. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2023. "Gambling on Momentum in Contests," Economics Discussion Papers em-dp2023-08, Department of Economics, University of Reading.
    3. Jinook Jeong & Jee Young Kim & Yoon Jae Ro, 2019. "On the efficiency of racetrack betting market: a new test for the favourite-longshot bias," Applied Economics, Taylor & Francis Journals, vol. 51(54), pages 5817-5828, November.

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