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The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games

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  • Justin Cox
  • Adam L. Schwartz
  • Bonnie F. Van Ness
  • Robert A. Van Ness

Abstract

This paper compares the predictive accuracy and efficiency of college football point spreads for regular and bowl games. We find that the betting line spread is more accurate as a predictor of the eventual winner for college football games during the regular season than for the bowl games. Although the betting market is mostly efficient with regard to the favorite covering the spread, we do find several inefficiencies in the betting market for regular and bowl games within transaction costs. Specifically, we find the betting market to be an inefficient processor of momentum effects, particularly negative momentum.

Suggested Citation

  • Justin Cox & Adam L. Schwartz & Bonnie F. Van Ness & Robert A. Van Ness, 2021. "The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games," Journal of Sports Economics, , vol. 22(3), pages 251-273, April.
    • Handle: RePEc:sae:jospec:v:22:y:2021:i:3:p:251-273
    DOI: 10.1177/1527002520975837
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    1. L. Lee Colquitt & Norman H. Godwin & Steven B. Caudill, 2001. "Testing Efficiency Across Markets: Evidence from the NCAA Basketball Betting Market," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(1‐2), pages 231-248, January.
    2. Grossman, Sanford J & Miller, Merton H & Cone, Kenneth R & Fischel, Daniel R & Ross, David J, 1997. "Clustering and Competition in Asset Markets," Journal of Law and Economics, University of Chicago Press, vol. 40(1), pages 23-60, April.
    3. Steven Salaga & Katie M Brown, 2018. "Momentum and betting market perceptions of momentum in college football," Applied Economics Letters, Taylor & Francis Journals, vol. 25(19), pages 1383-1388, November.
    4. Michael Sinkey & Trevon Logan, 2014. "Does the Hot Hand Drive the Market? Evidence from College Football Betting Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 40(4), pages 583-603, September.
    5. Yoon Tae Sung & Scott Tainsky, 2014. "The National Football League Wagering Market," Journal of Sports Economics, , vol. 15(4), pages 365-384, August.
    6. Randall W. Bennett, 2019. "Holdover Bias in the College Football Betting Market," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(1), pages 103-110, March.
    7. Kevin Krieger & Clay Girdner & Andy Fodor & David Kirch, 2013. "The Power Of Wagering On Power Conferences," Journal of Prediction Markets, University of Buckingham Press, vol. 7(1), pages 13-26.
    8. Boulier, Bryan L. & Stekler, H. O., 2003. "Predicting the outcomes of National Football League games," International Journal of Forecasting, Elsevier, vol. 19(2), pages 257-270.
    9. Clifford A. Ball & Walter N. Torous & Adrian E. Tschoegl, 1985. "The degree of price resolution: The case of the gold market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 5(1), pages 29-43, March.
    10. Vergin, Roger C. & Sosik, John J., 1999. "No place like home: an examination of the home field advantage in gambling strategies in NFL football," Journal of Economics and Business, Elsevier, vol. 51(1), pages 21-31, January.
    11. Corey A. Shank, 2018. "Is the NFL betting market still inefficient?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(4), pages 818-827, October.
    12. Borghesi, Richard, 2007. "The home team weather advantage and biases in the NFL betting market," Journal of Economics and Business, Elsevier, vol. 59(4), pages 340-354.
    13. Carlson, Kurt A. & Shu, Suzanne B., 2007. "The rule of three: How the third event signals the emergence of a streak," Organizational Behavior and Human Decision Processes, Elsevier, vol. 104(1), pages 113-121, September.
    14. Jared Quenzel & Paul Shea, 2016. "Predicting the Winner of Tied National Football League Games," Journal of Sports Economics, , vol. 17(7), pages 661-671, October.
    15. William Dare & A. Steven Holland, 2004. "Efficiency in the NFL betting market: modifying and consolidating research methods," Applied Economics, Taylor & Francis Journals, vol. 36(1), pages 9-15.
    16. Vaughan Williams, Leighton, 1999. "Information Efficiency in Betting Markets: A Survey," Bulletin of Economic Research, Wiley Blackwell, vol. 51(1), pages 1-30, January.
    17. 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.
    18. L. Lee Colquitt & Norman H. Godwin & Steven B. Caudill, 2001. "Testing Efficiency Across Markets: Evidence from the NCAA Basketball Betting Market," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(1-2), pages 231-248.
    19. 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.
    20. Bryan Boulier & H. O. Stekler & Sarah Amundson, 2006. "Testing the efficiency of the National Football League betting market," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 279-284.
    21. Brown, Alasdair & Yang, Fuyu, 2016. "Limited cognition and clustered asset prices: Evidence from betting markets," Journal of Financial Markets, Elsevier, vol. 29(C), pages 27-46.
    22. Andy Fodor & Michael DiFilippo & Kevin Krieger & Justin Davis, 2013. "Inefficient pricing from holdover bias in NFL point spread markets," Applied Financial Economics, Taylor & Francis Journals, vol. 23(17), pages 1407-1418, September.
    23. 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.
    24. Rodney J. Paul & Andrew P. Weinbach & Brad Humphreys, 2014. "Bettor Belief in the “Hot Handâ€," Journal of Sports Economics, , vol. 15(6), pages 636-649, December.
    25. Rodney Paul & Andrew Weinbach & Brad Humphreys, 2011. "Revisting the "Hot Hand" Hypothesis in the NBA Betting Market Using Actual Sportsbook Betting Percentages on Favorites and Underdogs," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 5(2), pages 42-56, July.
    26. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
    27. 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.
    28. Rodney Paul & Andrew P. Weinbach & Eric Higger, 2013. "The “Large-Firm” Effect? Bettor Preferences And Market Prices In Ncaa Football," Journal of Prediction Markets, University of Buckingham Press, vol. 7(2), pages 29-41.
    29. Evan Osborne, 2001. "Efficient Markets? Don’t Bet on It," Journal of Sports Economics, , vol. 2(1), pages 50-61, February.
    30. B. Jay Coleman, 2017. "Team Travel Effects and the College Football Betting Market," Journal of Sports Economics, , vol. 18(4), pages 388-425, May.
    31. Bill M. Woodland & Linda M. Woodland, 2000. "Testing Contrarian Strategies in the National Football League," Journal of Sports Economics, , vol. 1(2), pages 187-193, May.
    32. repec:bla:jfinan:v:43:y:1988:i:4:p:995-1008 is not listed on IDEAS
    33. Michael J. Barclay & William G. Christie & Jeffrey H. Harris & Eugene Kandel & Paul H. Schultz, 1999. "Effects of Market Reform on the Trading Costs and Depths of Nasdaq Stocks," Journal of Finance, American Finance Association, vol. 54(1), pages 1-34, February.
    34. 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.
    35. Gregory R. Durham & Michael G. Hertzel & J. Spencer Martin, 2005. "The Market Impact of Trends and Sequences in Performance: New Evidence," Journal of Finance, American Finance Association, vol. 60(5), pages 2551-2569, October.
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