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Applied Economics Letters Volume 31, 2024 - Issue 13
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Research Article

Close but no cigar: does winning the game moderate or amplify failing to cover the spread in future NFL games

Corey A. ShankFarmer School of Business, Miami University, Oxford, OH, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1698-875X
ORCID Icon
Pages 1184-1187 | Published online: 10 Feb 2023

References

  • Durand, R., F. Patterson, and C. Shank. 2021. “Behavioral Biases in the NFL Gambling Market: Overreaction to News and the Recency Bias.” Journal of Behavioral and Experimental Finance 31: 100522. doi:10.1016/j.jbef.2021.100522.
  • Metz, N., and C. Jog. 2022. “High Stakes, Experts, and Recency Bias: Evidence from a Sports Gambling Contest.” Applied Economics Letters 1–5. doi:10.1080/13504851.2022.2099517.
  • Moskowitz, T. J. 2021. “Asset Pricing and Sports Betting.” The Journal of Finance 76 (6): 3153–3209. doi:10.1111/jofi.13082.
  • Paul, R., and A. Weinbach. 2005. “Bettor Misperceptions in the NBA: The Overbetting of Large Favorites and the “Hot hand”.” Journal of Sports Economics 6 (4): 390–400. doi:10.1177/1527002504266861.
  • Paul, R., and A. Weinbach. 2007. “Does Sportsbook.Com Set Point Spreads to Maximize Profits?” The Journal of Prediction Markets 1 (3): 209–218. doi:10.5750/jpm.v1i3.429.
  • Paul, R. J., A. P. Weinbach, and B. Humphreys. 2011. “Revisiting The“hot hand” Hypothesis in the NBA Betting Market Using Actual Sportsbook Betting Percentages on Favorites and Underdogs.” The Journal of Gambling Business and Economics 5 (2): 42–56. doi:10.5750/jgbe.v5i2.569.
  • Shank, C. 2018. “Is the NFL Betting Market Still Inefficient?” Journal of Economics and Finance 42 (4): 818–827. doi:10.1007/s12197-018-9431-4.
  • Shank, C. 2019a. “NFL Betting Biases, Profitable Strategies, and the Wisdom of the Crowd.” International Journal of Sport Finance 14 (1): 3–12. doi:10.32731/IJSF/141.022019.01.
  • Shank, C. 2019b. “NFL Betting Market Efficiency, Divisional Rivals, and Profitable Strategies.” Studies in Economics and Finance 36 (4): 567–580. doi:10.1108/SEF-11-2018-0354.
  • Shank, C. 2022. “Information Asymmetry in the NFL Gambling Market: Inside Information versus Informed Bettors.” Journal of Behavioral and Experimental Finance 36: 100758. doi:10.1016/j.jbef.2022.100758.

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