IDEAS home Printed from https://ideas.repec.org/a/eee/jebusi/v53y2001i4p439-453.html
   My bibliography  Save this article

The home field advantage revisited: a search for the bias in other sports betting markets

Author

Listed:
  • Gandar, John M.
  • Zuber, Richard A.
  • Lamb, Reinhold P.

Abstract

No abstract is available for this item.

Suggested Citation

  • Gandar, John M. & Zuber, Richard A. & Lamb, Reinhold P., 2001. "The home field advantage revisited: a search for the bias in other sports betting markets," Journal of Economics and Business, Elsevier, vol. 53(4), pages 439-453.
    • Handle: RePEc:eee:jebusi:v:53:y:2001:i:4:p:439-453
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148-6195(01)00040-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Raymond D. Sauer, 1998. "The Economics of Wagering Markets," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2021-2064, December.
    2. Bill Woodland & Linda Woodland, 1997. "Efficiency in gambling markets involving spread: a corrected and simplified test," Applied Economics Letters, Taylor & Francis Journals, vol. 4(2), pages 93-95.
    3. Bassett, Gilbert W, Jr, 1981. "Point Spreads versus Odds," Journal of Political Economy, University of Chicago Press, vol. 89(4), pages 752-768, August.
    4. repec:bla:jfinan:v:53:y:1998:i:1:p:385-401 is not listed on IDEAS
    5. repec:bla:jfinan:v:43:y:1988:i:4:p:995-1008 is not listed on IDEAS
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    2. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.
    3. 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.
    4. Caiado, Jorge & Vieira, Aníbal & Bonito, Ana & Reis, Carlos & Fernandes, Francisco, 2006. "Previsão da eficácia ofensiva do futebol profissional: Um caso Português," MPRA Paper 2185, University Library of Munich, Germany.
    5. Ioannis Asimakopoulos & John Goddard, 2004. "Forecasting football results and the efficiency of fixed-odds betting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(1), pages 51-66.
    6. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    7. Scoppa, Vincenzo, 2013. "Fatigue and Team Performance in Soccer: Evidence from the FIFA World Cup and the UEFA European Championship," IZA Discussion Papers 7519, Institute of Labor Economics (IZA).
    8. Greg Durham & Mukunthan Santhanakrishnan, 2012. "Point-Spread Wagering Markets' Analogue to Realized Return in Financial Markets," Journal of Sports Economics, , vol. 13(5), pages 554-566, October.
    9. 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.
    10. Beaudoin, David & Swartz, Tim, 2018. "A computationally intensive ranking system for paired comparison data," Operations Research Perspectives, Elsevier, vol. 5(C), pages 105-112.
    11. Matthew Amor & William Griffiths, 2003. "Modelling the Behaviour and Performance of Australian Football Tipsters," Department of Economics - Working Papers Series 871, The University of Melbourne.
    12. Ladd Kochman & Randy Goodwin, 2004. "Underdogs are Man’s Best Friend," Journal of Sports Economics, , vol. 5(4), pages 387-391, November.
    13. Yoon Tae Sung & Scott Tainsky, 2014. "The National Football League Wagering Market," Journal of Sports Economics, , vol. 15(4), pages 365-384, August.
    14. Borghesi, Richard, 2007. "The home team weather advantage and biases in the NFL betting market," Journal of Economics and Business, Elsevier, vol. 59(4), pages 340-354.
    15. Richard Zuber & Patrick Yiu & Reinhold Lamb & John Gandar, 2005. "Investor-fans? An examination of the performance of publicly traded English Premier League teams," Applied Financial Economics, Taylor & Francis Journals, vol. 15(5), pages 305-313.
    16. Nikolaos Vlastakis & George Dotsis & Raphael N. Markellos, 2009. "How efficient is the European football betting market? Evidence from arbitrage and trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 426-444.
    17. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.
    18. Frank TENKORANG & Bree L. DORITY & Eddery LAM, 2014. "Nba Endgame: Do Salaries Matter?," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 14, pages 51-62, December.
    19. James Monks & Jared Husch, 2009. "The Impact of Seeding, Home Continent, and Hosting on FIFA World Cup Results," Journal of Sports Economics, , vol. 10(4), pages 391-408, August.

    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. 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.
    2. 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, H. O. Stekler Research Program on Forecasting.
    3. Kevin Krieger & Clay Girdner & Andy Fodor & David Kirch, 2013. "The Power Of Wagering On Power Conferences," Journal of Prediction Markets, University of Buckingham Press, vol. 7(1), pages 13-26.
    4. 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.
    5. 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.
    6. Brown, Gregory W. & Hartzell, Jay C., 2001. "Market reaction to public information: The atypical case of the Boston Celtics," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 333-370, May.
    7. 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.
    8. Arne Feddersen & Brad R. Humphreys & Brian P. Soebbing, 2018. "Sentiment Bias in National Basketball Association Betting," Journal of Sports Economics, , vol. 19(4), pages 455-472, May.
    9. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    10. Igan, Deniz & Pinheiro, Marcelo & Smith, John, 2015. "A study of a market anomaly: “White Men Can’t Jump”, but would you bet on it?," Journal of Economic Behavior & Organization, Elsevier, vol. 113(C), pages 13-25.
    11. Ziemba, William, 2020. "Parimutuel betting markets: racetracks and lotteries revisited," LSE Research Online Documents on Economics 118873, London School of Economics and Political Science, LSE Library.
    12. Rebeggiani, Luca & Gross, Johannes, 2018. "Chance or Ability? The Efficiency of the Football Betting Market Revisited," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181563, Verein für Socialpolitik / German Economic Association.
    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. Simmons, Rob, 2004. "The analysis of sports forecasting: Modeling parallels between sports gambling and financial markets: William S. Mallios, Kluwer Academic Publishers, Boston & Dordrecht, 2000, 312 pages, ISBN 0-7923-7," International Journal of Forecasting, Elsevier, vol. 20(1), pages 149-150.
    15. Nikolaos Vlastakis & George Dotsis & Raphael N. Markellos, 2009. "How efficient is the European football betting market? Evidence from arbitrage and trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 426-444.
    16. Montone, Maurizio, 2021. "Optimal pricing in the online betting market," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 344-363.
    17. David Paton & Leighton Vaughan Williams, 2005. "Forecasting outcomes in spread betting markets: can bettors use 'quarbs' to beat the book?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 139-154.
    18. Benjamin Waggoner & Daniel Wines & Brian P. Soebbing & Chad S. Seifried & Jean Michael Martinez, 2014. "“Hot Hand” in the National Basketball Association Point Spread Betting Market: A 34-Year Analysis," IJFS, MDPI, vol. 2(4), pages 1-12, November.
    19. Igan, Deniz & Pinheiro, Marcelo & Smith, John, 2012. "Racial biases and market outcomes: "White men can't jump," but would you bet on it?," MPRA Paper 36069, University Library of Munich, Germany.
    20. Andrew Weinbach & Rodney J. Paul, 2009. "National television coverage and the behavioural bias of bettors: the American college football totals market," International Gambling Studies, Taylor & Francis Journals, vol. 9(1), pages 55-66, April.

    More about this item

    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:eee:jebusi:v:53:y:2001:i:4:p:439-453. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-economics-and-business .

    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.