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Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games

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  • Zuber, Richard A
  • Gandar, John M
  • Bowers, Benny D

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  • 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.
  • Handle: RePEc:ucp:jpolec:v:93:y:1985:i:4:p:800-806
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    Cited by:

    1. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
      • Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, Research Program on Forecasting.
    2. Baker, Rose D. & McHale, Ian G., 2013. "Forecasting exact scores in National Football League games," International Journal of Forecasting, Elsevier, vol. 29(1), pages 122-130.
    3. Russell Sobel & S. Travis Raines, 2003. "An examination of the empirical derivatives of the favourite-longshot bias in racetrack betting," Applied Economics, Taylor & Francis Journals, vol. 35(4), pages 371-385.
    4. Rodney Paul & Andrew Weinbach, 2012. "Sportsbook pricing and the behavioral biases of bettors in the NHL," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(1), pages 123-135, January.
    5. Niven Winchester & Raymond T. Stefani, 2009. "An innovative approach to National Football League standings using optimal bonus points," Working Papers 0905, University of Otago, Department of Economics, revised Jun 2009.
    6. Quitzau, Jörn & Vöpel, Henning, 2009. "Der Faktor Zufall im Fußball: Eine empirische Untersuchung für die Saison 2007/08," HWWI Research Papers 1-22, Hamburg Institute of International Economics (HWWI).
    7. Sebastian Bervoets & Bruno Decreuse & Mathieu Faure, 2014. "A Renewed Analysis of Cheating in Contests: Theory and Evidence from Recovery Doping," AMSE Working Papers 1441, Aix-Marseille School of Economics, Marseille, France, revised Jun 2015.
    8. Justin Davis & Andy Fodor & Luke McElfresh & Kevin Kreiger, 2015. "Exploiting Week 2 Bias in the NFL Betting Markets," Journal of Prediction Markets, University of Buckingham Press, vol. 9(1), pages 53-67.
    9. Niven Winchester, 2007. "Shifting the 'goal posts': What is the optimal allocation of Super Rugby competition points?," Working Papers 0715, University of Otago, Department of Economics, revised Nov 2007.
    10. Andy Fodor, 2014. "Does Jet Lag Create A Profitable Opportunity For Nfl Bettors?," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 8(1), pages 41-52.
    11. Mark Burkey, 2005. "On "Arbitage" and Market Efficiency: An Examination of NFL Wagering," New York Economic Review, New York State Economics Association (NYSEA), pages 13-28.
    12. Timothy J. Brailsford & Philip K. Gray & Stephen A. Easton & Stephen F. Gray, 1995. "The Efficiency of Australian Football Betting Markets," Australian Journal of Management, Australian School of Business, vol. 20(2), pages 167-195, December.
    13. Miller, Thomas W. & Rapach, David E., 2013. "An intra-week efficiency analysis of bookie-quoted NFL betting lines in NYC," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 10-23.
    14. Winchester Niven, 2008. "Shifting the 'Goal Posts': Optimizing the Allocation of Competition Points for Sporting Contests," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(4), pages 1-17, October.
    15. Quitzau, Jörn, 2005. "Faktor Zufall als Spielverderber: zur Prognostizierbarkeit von Fußballergebnissen – Wettmärkte als effizienter Informationslieferant," Research Notes 18, Deutsche Bank Research.
    16. Rodney J. Paul & Andrew P. Weinbach & Kristin K. Paul, 2010. "Using Actual Betting Percentages to Analyze Sportsbook Behavior: The Canadian and Arena Football Leagues," New York Economic Review, New York State Economics Association (NYSEA), pages 35-44.
    17. Frank Daumann & Markus Breuer, 2011. "The Role of Information in Professional Football and the German Football Betting Market," Chapters,in: Contemporary Issues in Sports Economics, chapter 6 Edward Elgar Publishing.
    18. Klaassen, Franc J.G.M. & Magnus, Jan R., 2009. "The efficiency of top agents: An analysis through service strategy in tennis," Journal of Econometrics, Elsevier, vol. 148(1), pages 72-85, January.
    19. Evan Osborne, 2001. "Efficient Markets? Don’t Bet on It," Journal of Sports Economics, , vol. 2(1), pages 50-61, February.
    20. Adi Schnytzer, 2011. "The Prediction Market for the Australian Football League," Working Papers 2011-15, Bar-Ilan University, Department of Economics.

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