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Winning Strategies for Wagering on National Football League Games

Citations

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Cited by:

  1. Robert Arscott, 2023. "Market Efficiency and Censoring Bias in College Football Gambling," Journal of Sports Economics, , vol. 24(5), pages 664-689, June.
  2. Roger Vergin, 2001. "Overreaction in the NFL point spread market," Applied Financial Economics, Taylor & Francis Journals, vol. 11(5), pages 497-509.
  3. Adam Hoffer & Jared A. Pincin, 2019. "Quantifying NFL Players’ Value With the Help of Vegas Point Spreads Values," Journal of Sports Economics, , vol. 20(7), pages 959-974, October.
  4. Adi Schnytzer & Guy Weinberg, 2008. "Testing for Home Team and Favorite Biases in the Australian Rules Football Fixed-Odds and Point Spread Betting Markets," Journal of Sports Economics, , vol. 9(2), pages 173-190, April.
  5. Schmidt, Carsten & Werwatz, Axel, 2002. "How accurate do markets predict the outcome of an event? The Euro 2000 soccer championships experiment," SFB 373 Discussion Papers 2002,29, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  6. 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.
  7. Hofer, Vera & Leitner, Johannes, 2017. "Relative pricing of binary options in live soccer betting markets," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 66-85.
  8. 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.
  9. Andy Fodor & Kevin Krieger & David Kirch & Andrew Kreutzer, 2012. "Informational Differences In Nfl Point Spread And Moneyline Markets," Journal of Prediction Markets, University of Buckingham Press, vol. 6(2), pages 1-11.
  10. Lauren E. Montgomery & Michael D. Lee, 2021. "Expert and novice sensitivity to environmental regularities in predicting NFL games," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(6), pages 1370-1391, November.
  11. 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.
  12. Quitzau, Jörn, 2005. "Faktor Zufall als Spielverderber: zur Prognostizierbarkeit von Fußballergebnissen – Wettmärkte als effizienter Informationslieferant," Research Notes 18, Deutsche Bank Research.
  13. Kevin Krieger & Justin L. Davis & James Strode, 2021. "Patience is a virtue: exploiting behavior bias in gambling markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(4), pages 735-750, October.
  14. Murtha, Brian R., 2013. "Peaking at the right time: Perceptions, expectations, and effects," Organizational Behavior and Human Decision Processes, Elsevier, vol. 120(1), pages 62-72.
  15. Thomas Ashman & R. Alan Bowman & James Lambrinos, 2010. "The Role of Fatigue in NBA Wagering Markets: The Surprising ‘‘Home Disadvantage Situation’’," Journal of Sports Economics, , vol. 11(6), pages 602-613, December.
  16. Joshua D. Pitts, 2016. "Determinants of Success in the National Football League’s Postseason," Journal of Sports Economics, , vol. 17(1), pages 86-111, January.
  17. 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.
  18. Greg Durham & Tod Perry, 2008. "The Impact of Sentiment on Point Spreads in the College Football Wagering Market," Journal of Prediction Markets, University of Buckingham Press, vol. 2(1), pages 1-27, May.
  19. Rodney Paul & Andrew Weinbach & J. Weinbach, 2003. "Fair bets and profitability in college football gambling," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(2), pages 236-242, June.
  20. Berkowitz, Jason P. & Depken, Craig A. & Gandar, John M., 2017. "A favorite-longshot bias in fixed-odds betting markets: Evidence from college basketball and college football," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 233-239.
  21. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
  22. Sathya Ramesh & Ragib Mostofa & Marco Bornstein & John Dobelman, 2019. "Beating the House: Identifying Inefficiencies in Sports Betting Markets," Papers 1910.08858, arXiv.org, revised Oct 2019.
  23. Rodney Paul & Andrew Weinbach, 2005. "Market efficiency and NCAA college basketball gambling," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 403-408, September.
  24. 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.
  25. 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).
  26. Kevin Krieger & Andy Fodor & Greg Stevenson, 2013. "The Sensitivity of Findings of Expected Bookmaker Profitability," Journal of Sports Economics, , vol. 14(2), pages 186-202, April.
  27. Michael DiFilippo & Kevin Krieger & Justin Davis & Andy Fodor, 2014. "Early Season NFL Over/Under Bias," Journal of Sports Economics, , vol. 15(2), pages 201-211, April.
  28. Yoon Tae Sung & Scott Tainsky, 2014. "The National Football League Wagering Market," Journal of Sports Economics, , vol. 15(4), pages 365-384, August.
  29. Vandenbruaene, Jonas & De Ceuster, Marc & Annaert, Jan, 2023. "Does time series momentum also exist outside traditional financial markets? Near-laboratory evidence from sports betting," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
  30. Daniel Kuester & Shane Sanders, 2011. "Regional information and market efficiency: the case of spread betting in United States college football," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 35(1), pages 116-122, January.
  31. Vaughan Williams Leighton & Liu Chunping & Dixon Lerato & Gerrard Hannah, 2021. "How well do Elo-based ratings predict professional tennis matches?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(2), pages 91-105, June.
  32. 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.
  33. James D. Dana & Michael M. Knetter, 1994. "Learning and Efficiency in a Gambling Market," Management Science, INFORMS, vol. 40(10), pages 1317-1328, October.
  34. Rodney J. Paul & Andrew P. Weinbach, 2005. "Bettor Misperceptions in the NBA," Journal of Sports Economics, , vol. 6(4), pages 390-400, November.
  35. Frank Daumann & Markus Breuer, 2011. "The Role of Information in Professional Football and the German Football Betting Market," Chapters, in: Wladimir Andreff (ed.), Contemporary Issues in Sports Economics, chapter 6, Edward Elgar Publishing.
  36. 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.
  37. 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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