Exploiting Week 2 Bias in the NFL Betting Markets

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Justin Davis
Andy Fodor
Luke McElfresh
Kevin Krieger

Abstract

Past research has provided evidence of hindsight bias in the NFL wagering market. Too much emphasis is placed on a team’s performance in the previous season when placing bets on NFL games during the first week (Week 1) of the season.  Building on this contribution, our study extends the examination of hindsight bias in NFL gaming markets by focusing on how bettors consider the information provided by Week 1 performance when betting in Week 2.  Our findings suggest multiple market inefficiencies in the NFL gambling market in Week 2, providing the opportunity for profitable betting strategies.

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References

Boulier, B.L., Stekler, H.O. and Amundson, S. (2006) Testing the efficiency of the National Football League betting market, Applied Economics, 38, 279-284.

Burkey, M. (2005) On ‘arbitrage’ and market efficiency: an examination of NFL wagering, New York Economic Review, 36, 13-28.

Fodor, A., DiFilippo, M., Krieger, K. and Davis, J. (2013) Inefficient pricing from holdover bias in NFL point spread markets, Applied Financial Economics, 23, 1407-1418.

Girdner, C., Davis, J.L., Fodor, A. and Kirch, D. (2013) Early Season NBA Over/Under Bias, Journal of Predictions Markets, 7, 1-9.

Golec, J. and Tamarkin, M. (1991) The degree of inefficiency in the football betting market, Journal of Financial Economics, 30, 311-323.

Gray, P.K. and Gray, S.F. (1997) Testing market efficiency: Evidence from the NFL sports betting market, Journal of Finance, 52, 1725-1737.

Kohers, G., Tuttle, M. and Bumpass, D. (2013) Examining NCAA/NFL market efficiency, Journal of Economics and Economic Education Research, 14, 67-72.

Krieger, K., Fodor, A., Davis, J.L., and Difilippo, M. (2014) Early Season NFL Over/Under Bias, Journal of Sports Economics, 15, 201-211.

Krieger, K. and Fodor, A. (2013) Price movements and the prevalence of informed traders: The case of line movement in college basketball, Journal of Economics and Business, 68, 70-82.

Levitt, S. (2004) Why are Gambling Markets Organised so Differently from Financial Markets?, The Economic Journal, 114, 223-246.

Pankoff, L. (1968) Market efficiency and football betting, Journal of Business, 41, 203-214.

Paul, R.J. and Weinbach, A.P. (2002) Market Efficiency and a Profitable Betting Rule: Evidence From Totals on Professional Football, Journal of Sports Economics, 3, 256-263.

Paul, R.J. and Weinbach, A.P. (2010) NFL bettor biases and price setting: further tests of the Levitt hypothesis of sportsbook behavior, Applied Economics Letters, 18, 193-197.

Sapra, S. (2008) Evidence of betting market intraseason efficiency and interseason overreaction to unexpected NFL team performance 1988-2006, Journal of Political Economy, 96, 206-213.

Sauer, R.D., Brajer, V., Ferris, S.P. et al. (1988) Holding your bets: another look at the efficiency of the gambling market for national football league games, Journal of Political Economy, 96, 206-213.

Sinha, S., Dyer, C., Gimpel, K. and Smith, N.A. (2013) Predicting the NFL using Twitter, arXiv:1310.6998v1 [cs.SI], 1-11.

Vergin, R. and Scriabin, M. (1978) Winning Strategies for Wagering on National Football League Games, Management Science, 24, 809-818.

Wever, S. and Aadland, D. (2012) Herd behavior and underdogs in the NFL, Applied Economics Letters, 19, 93-107.

Woodland, B. and Woodland, L. (2000) Testing contrarian strategies in the National Football League, Journal of Sports Economics, 1, 187-193.

Zuber, R.A., Gandar, J.M. and Bowers, B.D. (1985) Beating the spread: testing the efficiency of the gambling market for national football league games, Journal of Political Economy, 93, 800-806.