IDEAS home Printed from https://ideas.repec.org/a/buc/jgbeco/v8y2014i1p41-52.html
   My bibliography  Save this article

Does Jet Lag Create A Profitable Opportunity For Nfl Bettors?

Author

Listed:
  • Andy Fodor

Abstract

Traveling across multiple time zones, especially from east-to-west so that hours are “lost”, has documented negative effects on athletic performance. Nichols (2012) finds mixed evidence that sports betting markets fail to account for these effects. We reconsider, for the 2005-2010 NFL regular seasons, the “jet lag” hypothesis with more direct methods. We find that closing lines of NFL contests are set irrationally such that the jet lag effect is not appreciated. More importantly, we are the first to document that betting against potential jet lag teams proves to be markedly profitable. This profitability is statistically significant, which is a standard very rarely encountered throughout the literature. Consistent with our conjectures, we find these results to be even stronger when only afternoon games are kept in the sample and when division games are omitted from the sample.

Suggested Citation

  • 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.
  • Handle: RePEc:buc:jgbeco:v:8:y:2014:i:1:p:41-52
    as

    Download full text from publisher

    File URL: http://www.ubplj.org/index.php/jgbe/article/view/621
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sean Wever & David Aadland, 2012. "Herd behaviour and underdogs in the NFL," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 93-97, January.
    2. R. Borghesi, 2007. "The late-season bias: explaining the NFL's home-underdog effect," Applied Economics, Taylor & Francis Journals, vol. 39(15), pages 1889-1903.
    3. Mark W. Nichols, 2014. "The Impact of Visiting Team Travel on Game Outcome and Biases in NFL Betting Markets," Journal of Sports Economics, , vol. 15(1), pages 78-96, February.
    4. 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.
    5. Rodney Paul & Andrew Weinbach, 2011. "NFL bettor biases and price setting: further tests of the Levitt hypothesis of sportsbook behaviour," Applied Economics Letters, Taylor & Francis Journals, vol. 18(2), pages 193-197.
    6. 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.
    7. Gandar, John, et al, 1988. " Testing Rationality in the Point Spread Betting Market," Journal of Finance, American Finance Association, vol. 43(4), pages 995-1008, September.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yoon Tae Sung & Scott Tainsky, 2014. "The National Football League Wagering Market," Journal of Sports Economics, , vol. 15(4), pages 365-384, August.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Corey A. Shank, 2019. "NFL betting market efficiency, divisional rivals, and profitable strategies," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 36(3), pages 567-580, September.
    8. 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.
    9. 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.
    10. Klaassen, F.J.G.M. & Magnus, J.R., 2006. "Are Economic Agents Successful Optimizers? An Analysis Through Strategy in Tennis," Other publications TiSEM 73e12d86-8fe4-4a87-9181-7, Tilburg University, School of Economics and Management.
    11. Daniel M. Chin, 2011. "A Test of Unbiasedness and Sports Book Profits in the NFL Point Spread Betting Merket Using Circadian Advantage," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 5(3), pages 15-26, October.
    12. Rodney Paul & Andrew Weinbach, 2011. "NFL bettor biases and price setting: further tests of the Levitt hypothesis of sportsbook behaviour," Applied Economics Letters, Taylor & Francis Journals, vol. 18(2), pages 193-197.
    13. 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.
    14. Rodney J Paul & Andrew Weinbach, 2012. "Wagering Preferences Of Nfl Bettors: Determinants Of Betting Volume," Journal of Prediction Markets, University of Buckingham Press, vol. 6(1), pages 42-55.
    15. 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.
    16. Rodney J. Paul & Andrew P. Weinbach, 2014. "Market Efficiency and Behavioral Biases in the WNBA Betting Market," IJFS, MDPI, vol. 2(2), pages 1-10, April.
    17. Kyle J. Kain & Trevon D. Logan, 2014. "Are Sports Betting Markets Prediction Markets?," Journal of Sports Economics, , vol. 15(1), pages 45-63, February.
    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. Tobias J. Moskowitz, 2021. "Asset Pricing and Sports Betting," Journal of Finance, American Finance Association, vol. 76(6), pages 3153-3209, December.
    20. 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.

    More about this item

    Keywords

    NFL; Sports wagering; Jet-lag effect; Gambling market inefficiency;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:buc:jgbeco:v:8:y:2014:i:1:p:41-52. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dominic Cortis, University of Malta (email available below). General contact details of provider: http://www.ubpl.co.uk/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.