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Market evidence against widespread point shaving in college basketball

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  • Berkowitz, Jason P.
  • Depken II, Craig A.
  • Gandar, John M.

Abstract

This paper proposes using market-based information to investigate the likelihood of widespread point shaving in college basketball games with strong favorites. Information embodied in pre-game money lines facilitates the calculation of the market's expectation that the game will end with a strong favorite winning but not covering the point spread, a result deemed suspicious in previous studies. Additional market-based information embodied in second-half lines reveal how the market's expectation about second-half play differs from pre-game expectations. Applying our methodology to college basketball reduces previous estimates of the percentage of games thought to be consistent with potential point shaving to insignificant levels. Our approach can apply to other sports in which strong favorites are common.

Suggested Citation

  • Berkowitz, Jason P. & Depken II, Craig A. & Gandar, John M., 2018. "Market evidence against widespread point shaving in college basketball," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 283-292.
  • Handle: RePEc:eee:jeborg:v:153:y:2018:i:c:p:283-292
    DOI: 10.1016/j.jebo.2018.06.018
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    References listed on IDEAS

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    1. Richard Borghesi, 2008. "Widespread Corruption in Sports Gambling: Fact Or Fiction," Southern Economic Journal, John Wiley & Sons, vol. 74(4), pages 1063-1069, April.
    2. George Diemer, 2012. "Comment on “Investigating Allegations of Point-shaving in NCAA Basketball Using Actual Sportsbook Betting Percentagesâ€," Journal of Sports Economics, , vol. 13(2), pages 207-210, April.
    3. Jullien, Bruno & Salanie, Bernard, 1994. "Measuring the Incidence of Insider Trading: A Comment on Shin," Economic Journal, Royal Economic Society, vol. 104(427), pages 1418-1419, November.
    4. Smith, Michael A. & Paton, David & Williams, Leighton Vaughan, 2009. "Do bookmakers possess superior skills to bettors in predicting outcomes?," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 539-549, August.
    5. Borghesi, Richard & Dare, William, 2009. "A test of the widespread-point-shaving theory," Finance Research Letters, Elsevier, vol. 6(3), pages 115-121, September.
    6. Jason P. Berkowitz & Craig A. Depken II & John M. Gandar, 2018. "The Conversion of Money Lines Into Win Probabilities," Journal of Sports Economics, , vol. 19(7), pages 990-1015, October.
    7. Shin, Hyun Song, 1993. "Measuring the Incidence of Insider Trading in a Market for State-Contingent Claims," Economic Journal, Royal Economic Society, vol. 103(420), pages 1141-1153, September.
    8. Rodney J. Paul & Andrew P. Weinbach, 2011. "Investigating Allegations of Pointshaving in NCAA Basketball Using Actual Sportsbook Betting Percentages," Journal of Sports Economics, , vol. 12(4), pages 432-447, August.
    9. Erik Å trumbelj, 2016. "A Comment on the Bias of Probabilities Derived From Betting Odds and Their Use in Measuring Outcome Uncertainty," Journal of Sports Economics, , vol. 17(1), pages 12-26, January.
    10. Andrew P. Weinbach & Rodney J. Paul, 2008. "The Link Between Information and the Favorite-longshot Bias in Pari-mutuel Wagering Markets," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 2(1), pages 30-44, May.
    11. 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..
    12. Rodney J. Paul & Andrew P. Weinbach, 2012. "Response to Comment on “Investigating Allegations of Pointshaving in NCAA Basketball Using Actual Sportsbook Betting Percentagesâ€," Journal of Sports Economics, , vol. 13(2), pages 211-217, April.
    13. Dan Bernhardt & Steven Heston, 2010. "Point Shaving In College Basketball: A Cautionary Tale For Forensic Economics," Economic Inquiry, Western Economic Association International, vol. 48(1), pages 14-25, January.
    14. Jesse Gregory, 2018. "Do basketball scoring patterns reflect illegal point shaving or optimal in‐game adjustments?," Quantitative Economics, Econometric Society, vol. 9(2), pages 1053-1085, July.
    15. Michael Cain & David Law & David Peel, 2002. "Is one price enough to value a state-contingent asset correctly? Evidence from a gambling market," Applied Financial Economics, Taylor & Francis Journals, vol. 12(1), pages 33-38.
    16. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    17. Richard Borghesi & Rodney J. Paul & Andrew P. Weinbach, 2010. "Totals Markets as Evidence Against Widespread Point Shaving," Journal of Prediction Markets, University of Buckingham Press, vol. 4(2), pages 15-22, September.
    18. Neal Johnson, 2009. "NCAA ``Point Shaving'' as an Artifact of the Regression Effect and the Lack of Tie Games," Journal of Sports Economics, , vol. 10(1), pages 59-67, February.
    19. Justin Wolfers, 2006. "Point Shaving: Corruption in NCAA Basketball," American Economic Review, American Economic Association, vol. 96(2), pages 279-283, May.
    20. Michael Cain & David Law & David Peel, 2003. "The Favourite‐Longshot Bias, Bookmaker Margins and Insider Trading in a Variety of Betting Markets," Bulletin of Economic Research, Wiley Blackwell, vol. 55(3), pages 263-273, July.
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    1. Borghesi, Richard & Paul, Rodney & Weinbach, Andrew, 2024. "Point shaving? A novel experiment and new insights," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).

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    More about this item

    Keywords

    Corruption; Cheating; College sports; Betting markets;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z22 - Other Special Topics - - Sports Economics - - - Labor Issues

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