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Disagreement and Market Structure in Betting Markets: Theory and Evidence from European Soccer

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  • Whelan, Karl
  • Hegarty, Tadgh

Abstract

Online sports betting is growing rapidly around the world. We describe how the competitive structure of the bookmaking market affects odds when bettors disagree about the probabilities of the outcomes of sporting events but are on average correct. We show that the demand for bets on longshots is less sensitive to the odds than bets on favorites. This means monopolistic bookmakers will set odds exhibiting favorite-longshot bias while competitive bookmaking markets will not have this feature. We develop a version of the model for soccer matches and use these results to explain empirical findings on odds for over 80,000 European soccer games from two different bookmaking markets.

Suggested Citation

  • Whelan, Karl & Hegarty, Tadgh, 2023. "Disagreement and Market Structure in Betting Markets: Theory and Evidence from European Soccer," CEPR Discussion Papers 18144, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:18144
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    1. Richard E. Quandt, 1986. "Betting and Equilibrium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(1), pages 201-207.
    2. David Forrest & Ian Mchale, 2007. "Anyone for Tennis (Betting)?," The European Journal of Finance, Taylor & Francis Journals, vol. 13(8), pages 751-768.
    3. Buhagiar, Ranier & Cortis, Dominic & Newall, Philip W.S., 2018. "Why do some soccer bettors lose more money than others?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 18(C), pages 85-93.
    4. Layard, R. & Mayraz, G. & Nickell, S., 2008. "The marginal utility of income," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1846-1857, August.
    5. Raymond D. Sauer, 1998. "The Economics of Wagering Markets," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2021-2064, December.
    6. Angelini, Giovanni & De Angelis, Luca, 2019. "Efficiency of online football betting markets," International Journal of Forecasting, Elsevier, vol. 35(2), pages 712-721.
    7. Matthew Rabin, 2000. "Risk Aversion and Expected-Utility Theory: A Calibration Theorem," Econometrica, Econometric Society, vol. 68(5), pages 1281-1292, September.
    8. Gabriel, Paul E & Marsden, James R, 1990. "An Examination of Market Efficiency in British Racetrack Betting," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 874-885, August.
    9. Whelan, Karl & Hegarty, Tadgh, 2023. "Forecasting Soccer Matches With Betting Odds: A Tale of Two Markets," MPRA Paper 116925, University Library of Munich, Germany.
    10. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    11. Montone, Maurizio, 2021. "Optimal pricing in the online betting market," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 344-363.
    12. Ali, Mukhtar M, 1977. "Probability and Utility Estimates for Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 85(4), pages 803-815, August.
    13. Berkowitz, Jason P. & Depken, Craig A. & Gandar, John M., 2017. "A favorite-longshot bias in fixed-odds betting markets: Evidence from college basketball and college football," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 233-239.
    14. Hurley, William & McDonough, Lawrence, 1995. "A Note on the Hayek Hypothesis and the Favorite-Longshot Bias in Parimutuel Betting," American Economic Review, American Economic Association, vol. 85(4), pages 949-955, September.
    15. Pope, Peter F & Peel, David A, 1989. "Information, Prices and Efficiency in a Fixed-Odds Betting Market," Economica, London School of Economics and Political Science, vol. 56(223), pages 323-341, August.
    16. Shin, Hyun Song, 1991. "Optimal Betting Odds against Insider Traders," Economic Journal, Royal Economic Society, vol. 101(408), pages 1179-1185, September.
    17. Thaler, Richard H & Ziemba, William T, 1988. "Parimutuel Betting Markets: Racetracks and Lotteries," Journal of Economic Perspectives, American Economic Association, vol. 2(2), pages 161-174, Spring.
    18. Naomi Muggleton & Paula Parpart & Philip Newall & David Leake & John Gathergood & Neil Stewart, 2021. "The association between gambling and financial, social and health outcomes in big financial data," Nature Human Behaviour, Nature, vol. 5(3), pages 319-326, March.
    19. Amit Gandhi & Ricardo Serrano-Padial, 2015. "Does Belief Heterogeneity Explain Asset Prices: The Case of the Longshot Bias," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(1), pages 156-186.
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    More about this item

    Keywords

    Monopoly;

    JEL classification:

    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies

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