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Anyone for Tennis (Betting)?

Author

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  • David Forrest
  • Ian Mchale

Abstract

The most robust anomaly noted in the literature on wagering markets is (positive) longshot bias: over a period of 50 years, it has been well documented in horse betting that higher expected returns accrue to short- than to long-odds bets. However, a few examples of betting markets with zero or negative bias have been found, for example in certain American sports. The understanding of longshot bias is likely to be informed by comparing and contrasting conditions in markets displaying positive, zero, and negative bias but, to date, relatively few markets have been examined. This paper employs a large data set on professional men's tennis matches and a new econometric approach to the estimation of the relationship between returns and odds. It finds positive bias throughout the range of odds. It discusses this finding in the context of the debate on why biases exist and persist in wagering markets, focusing particularly on bettors' attitudes towards risk and skewness.

Suggested Citation

  • David Forrest & Ian Mchale, 2007. "Anyone for Tennis (Betting)?," The European Journal of Finance, Taylor & Francis Journals, vol. 13(8), pages 751-768.
  • Handle: RePEc:taf:eurjfi:v:13:y:2007:i:8:p:751-768
    DOI: 10.1080/13518470701705736
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    1. Linda M. Woodland & Bill M. Woodland, 2001. "Market Efficiency and Profitable Wagering in the National Hockey League: Can Bettors Score on Longshots?," Southern Economic Journal, John Wiley & Sons, vol. 67(4), pages 983-995, April.
    2. Woodland, Linda M & Woodland, Bill M, 1994. "Market Efficiency and the Favorite-Longshot Bias: The Baseball Betting Market," Journal of Finance, American Finance Association, vol. 49(1), pages 269-279, March.
    3. Linda M. Woodland & Bill M. Woodland, 2003. "The Reverse Favourite–longshot Bias and Market Efficiency in Major League Baseball: An Update," Bulletin of Economic Research, Wiley Blackwell, vol. 55(2), pages 113-123, April.
    4. Busche, Kelly & Hall, Christopher D, 1988. "An Exception to the Risk Preference Anomaly," The Journal of Business, University of Chicago Press, vol. 61(3), pages 337-346, July.
    5. Terrell, Dek & Farmer, Amy, 1996. "Optimal Betting and Efficiency in Parimutuel Betting Markets with Information Costs," Economic Journal, Royal Economic Society, vol. 106(437), pages 846-868, July.
    6. Forrest, David & Goddard, John & Simmons, Robert, 2005. "Odds-setters as forecasters: The case of English football," International Journal of Forecasting, Elsevier, vol. 21(3), pages 551-564.
    7. Vaughan Williams, Leighton, 1999. "Information Efficiency in Betting Markets: A Survey," Bulletin of Economic Research, Wiley Blackwell, vol. 51(1), pages 1-30, January.
    8. Hyun Song Shin, 2008. "Prices Of State Contingent Claims With Insider Traders, And The Favourite-Longshot Bias," World Scientific Book Chapters, in: Donald B Hausch & Victor SY Lo & William T Ziemba (ed.), Efficiency Of Racetrack Betting Markets, chapter 34, pages 343-352, World Scientific Publishing Co. Pte. Ltd..
    9. Linda M. Woodland & Bill M. Woodland, 2001. "Market Efficiency and Profitable Wagering in the National Hockey League: Can Bettors Score on Longshots?," Southern Economic Journal, John Wiley & Sons, vol. 67(4), pages 983-995, April.
    10. Stephen Shmanske, 2005. "Odds-setting efficiency in gambling markets: Evidence from the PGA TOUR," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 391-402, September.
    11. Leighton Vaughan Williams & David Paton, 1998. "Why are some favourite-longshot biases positive and others negative?," Applied Economics, Taylor & Francis Journals, vol. 30(11), pages 1505-1510.
    12. Michael Cain & David Law & David Peel, 2000. "The Favourite‐Longshot Bias and Market Efficiency in UK Football betting," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(1), pages 25-36, February.
    13. Joseph Golec & Maurry Tamarkin, 1998. "Bettors Love Skewness, Not Risk, at the Horse Track," Journal of Political Economy, University of Chicago Press, vol. 106(1), pages 205-225, February.
    14. Bill Woodland & Linda Woodland, 1999. "Expected utility, skewness, and the baseball betting market," Applied Economics, Taylor & Francis Journals, vol. 31(3), pages 337-345.
    15. Milton Friedman & L. J. Savage, 1948. "The Utility Analysis of Choices Involving Risk," Journal of Political Economy, University of Chicago Press, vol. 56, pages 279-279.
    16. Steven D. Levitt, 2004. "Why are gambling markets organised so differently from financial markets?," Economic Journal, Royal Economic Society, vol. 114(495), pages 223-246, April.
    17. Avery, Christopher & Chevalier, Judith, 1999. "Identifying Investor Sentiment from Price Paths: The Case of Football Betting," The Journal of Business, University of Chicago Press, vol. 72(4), pages 493-521, October.
    18. Michael Cain & David Peel, 2004. "The utility of gambling and the favourite-longshot bias," The European Journal of Finance, Taylor & Francis Journals, vol. 10(5), pages 379-390.
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    4. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
      • Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    5. Norton, Hugh & Gray, Steve & Faff, Robert, 2015. "Yes, one-day international cricket ‘in-play’ trading strategies can be profitable!," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 164-176.
    6. Julio del Corral, 2009. "Competitive Balance and Match Uncertainty in Grand-Slam Tennis," Journal of Sports Economics, , vol. 10(6), pages 563-581, December.
    7. Karl Whelan, 2024. "Risk aversion and favourite–longshot bias in a competitive fixed‐odds betting market," Economica, London School of Economics and Political Science, vol. 91(361), pages 188-209, January.
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    10. Jennifer Brown & Dylan B. Minor, 2014. "Selecting the Best? Spillover and Shadows in Elimination Tournaments," Management Science, INFORMS, vol. 60(12), pages 3087-3102, December.
    11. Whelan, Karl & Hegarty, Tadgh, 2023. "Calculating The Bookmaker's Margin: Why Bets Lose More On Average Than You Are Warned," MPRA Paper 116924, University Library of Munich, Germany.
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    13. Angelini, Giovanni & Candila, Vincenzo & De Angelis, Luca, 2022. "Weighted Elo rating for tennis match predictions," European Journal of Operational Research, Elsevier, vol. 297(1), pages 120-132.
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    15. Lahvicka, Jiri, 2013. "What Causes the Favorite-Longshot Bias? Further Evidence from Tennis," MPRA Paper 47905, University Library of Munich, Germany.
    16. Philip W. S. Newall & Dominic Cortis, 2021. "Are Sports Bettors Biased toward Longshots, Favorites, or Both? A Literature Review," Risks, MDPI, vol. 9(1), pages 1-9, January.
    17. McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630, April.
    18. del Corral, Julio & Prieto-Rodríguez, Juan, 2010. "Are differences in ranks good predictors for Grand Slam tennis matches?," International Journal of Forecasting, Elsevier, vol. 26(3), pages 551-563, July.
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    21. 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.

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