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Market Efficiency and Censoring Bias in College Football Gambling

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  • Robert Arscott

Abstract

The team totals and point spread betting lines jointly predict team scores in college football games. The gambling market’s score predictions are shown to be biased due to censoring at zero points. This presents arbitrage opportunities for gamblers who place wagers on the team totals line in cases for which expected bias is high. A naïve betting strategy that exploits this bias using only information contained within the two betting lines themselves yields a win percentage of over 55 percent over the past two decades. This significantly exceeds the typical transaction costs associated with wagers, indicating the market is semi-strong inefficient.

Suggested Citation

  • Robert Arscott, 2023. "Market Efficiency and Censoring Bias in College Football Gambling," Journal of Sports Economics, , vol. 24(5), pages 664-689, June.
    • Handle: RePEc:sae:jospec:v:24:y:2023:i:5:p:664-689
    DOI: 10.1177/15270025221148991
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    References listed on IDEAS

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    1. Sauer, Raymond D & Brajer, Vic & Ferris, Stephen P & Marr, M Wayne, 1988. "Hold Your Bets: Another Look at the Efficiency of the Gambling Market for National Football League Games: Comment," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 206-213, February.
    2. Roger C. Vergin & Michael Scriabin, 1978. "Winning Strategies for Wagering on National Football League Games," Management Science, INFORMS, vol. 24(8), pages 809-818, April.
    3. Rodney Paul & Andrew Weinbach, 2005. "Bettor preferences and market efficiency in football totals markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 409-415, September.
    4. Roll, Richard, 1977. "A critique of the asset pricing theory's tests Part I: On past and potential testability of the theory," Journal of Financial Economics, Elsevier, vol. 4(2), pages 129-176, March.
    5. Kyle J. Kain & Trevon D. Logan, 2014. "Are Sports Betting Markets Prediction Markets?," Journal of Sports Economics, , vol. 15(1), pages 45-63, February.
    6. Arscott, Robert, 2022. "Risk management in the shadow economy: Evidence from the sport betting market," Journal of Corporate Finance, Elsevier, vol. 77(C).
    7. Dare, William H. & MacDonald, S. Scott, 1996. "A generalized model for testing the home and favorite team advantage in point spread markets," Journal of Financial Economics, Elsevier, vol. 40(2), pages 295-318, February.
    8. Borghesi, Richard & Dare, William, 2009. "A test of the widespread-point-shaving theory," Finance Research Letters, Elsevier, vol. 6(3), pages 115-121, September.
    9. Gray, Philip K & Gray, Stephen F, 1997. "Testing Market Efficiency: Evidence from the NFL Sports Betting Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1725-1737, September.
    10. James Francisco & Evan Moore, 2019. "Betting with house money: reverse line movement based strategies in college football totals markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(4), pages 813-827, October.
    11. Lyn D. Pankoff, 1968. "Market Efficiency and Football Betting," The Journal of Business, University of Chicago Press, vol. 41, pages 203-203.
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    13. repec:bla:jfinan:v:43:y:1988:i:4:p:995-1008 is not listed on IDEAS
    14. Sivan Aldor-Noiman & Lawrence D. Brown & Andreas Buja & Wolfgang Rolke & Robert A. Stine, 2013. "The Power to See: A New Graphical Test of Normality," The American Statistician, Taylor & Francis Journals, vol. 67(4), pages 249-260, November.
    15. 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.
    16. James Francisco & Evan Moore, 2018. "A comment on Paul and Weinbach’s (2005) “Bettor preferences and efficient markets in totals markets”," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(4), pages 836-840, October.
    17. Zuber, Richard A & Gandar, John M & Bowers, Benny D, 1985. "Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games," Journal of Political Economy, University of Chicago Press, vol. 93(4), pages 800-806, August.
    18. William H. Dare & Steven A. Dennis, 2011. "A Test for Bias of Inherent Characteristics in Betting Markets," Journal of Sports Economics, , vol. 12(6), pages 660-665, December.
    19. Golec, Joseph & Tamarkin, Maurry, 1991. "The degree of inefficiency in the football betting market : Statistical tests," Journal of Financial Economics, Elsevier, vol. 30(2), pages 311-323, December.
    20. P. Tryfos & S. Casey & S. Cook & G. Leger & B. Pylypiak, 1984. "The Profitability of Wagering on NFL Games," Management Science, INFORMS, vol. 30(1), pages 123-132, January.
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