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Sentiment Bias and Asset Prices: Evidence from Sports Betting Markets and Social Media

Author

Listed:
  • Arne Feddersen

    (University of Southern Denmark, Department of Environmental and Business Economics)

  • Brad Humphreys

    (West Virginia University, College of Business and Economics)

  • Brian Soebbing

    (Louisiana State University, School of Kinesiology)

Abstract

Previous research using attendance-based proxies for the number of investors with sentiment bias supported the presence of investor sentiment in sports betting markets. We use data from social media (Facebook \Likes") to proxy for participants with investor sentiment and analyze variation in prices set by bookmakers for evidence of influence from investor sentiment. Based on prices and outcomes over two seasons in seven professional sports leagues in Europe and North America, we develop new evidence that asset prices reflect the presence of investor sentiment in these markets, or that bookmakers believe they exist, by offering favorable betting lines for popular teams. Favorable prices do not translate into a higher probability of winning a bet.

Suggested Citation

  • Arne Feddersen & Brad Humphreys & Brian Soebbing, 2013. "Sentiment Bias and Asset Prices: Evidence from Sports Betting Markets and Social Media," Working Papers 13-07, Department of Economics, West Virginia University.
    • Handle: RePEc:wvu:wpaper:13-07
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    File URL: https://researchrepository.wvu.edu/cgi/viewcontent.cgi?article=1084&context=econ_working-papers
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    1. Judith Chevalier & Austan Goolsbee, 2003. "Measuring Prices and Price Competition Online: Amazon.com and BarnesandNoble.com," Quantitative Marketing and Economics (QME), Springer, vol. 1(2), pages 203-222, June.
    2. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    3. Raymond Sauer, 2005. "The state of research on markets for sports betting and suggested future directions," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(3), pages 416-426, September.
    4. Raymond D. Sauer, 1998. "The Economics of Wagering Markets," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2021-2064, December.
    5. Rodney J. Paul & Andrew P. Weinbach, 2005. "Bettor Misperceptions in the NBA," Journal of Sports Economics, , vol. 6(4), pages 390-400, November.
    6. Brad R. Humphreys, 2010. "Point spread shading and behavioral biases in NBA betting markets," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 6(1), pages 13-26, Aprile.
    7. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    8. Woodland, Linda M & Woodland, Bill M, 1994. "Market Efficiency and the Favorite-Longshot Bias: The Baseball Betting Market," Journal of Finance, American Finance Association, vol. 49(1), pages 269-279, March.
    9. Levi Pérez, 2013. "What drives the number of new Twitter followers? An economic note and a case study of professional soccer teams," Economics Bulletin, AccessEcon, vol. 33(3), pages 1941-1947.
    10. Brown, William O & Sauer, Raymond D, 1993. "Fundamentals or Noise? Evidence from the Professional Basketball Betting Market," Journal of Finance, American Finance Association, vol. 48(4), pages 1193-1209, September.
    11. Forsythe, Robert & Rietz, Thomas A. & Ross, Thomas W., 1999. "Wishes, expectations and actions: a survey on price formation in election stock markets," Journal of Economic Behavior & Organization, Elsevier, vol. 39(1), pages 83-110, May.
    12. Jeffrey R. Brown & Austan Goolsbee, 2002. "Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 481-507, June.
    13. Egon Franck & Stephan Nüesch, 2012. "Talent And/Or Popularity: What Does It Take To Be A Superstar?," Economic Inquiry, Western Economic Association International, vol. 50(1), pages 202-216, January.
    14. Joris Drayer & Daniel A. Rascher & Chad D. McEvoy, 2012. "An examination of underlying consumer demand and sport pricing using secondary market data," Sport Management Review, Taylor & Francis Journals, vol. 15(4), pages 448-460, October.
    15. 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.
    16. repec:bla:jfinan:v:53:y:1998:i:1:p:385-401 is not listed on IDEAS
    17. Erik Brynjolfsson & Yu (Jeffrey) Hu & Duncan Simester, 2011. "Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales," Management Science, INFORMS, vol. 57(8), pages 1373-1386, August.
    18. Braun, Sebastian & Kvasnicka, Michael, 2013. "National Sentiment and Economic Behavior: Evidence From Online Betting on European Football," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(1), pages 45-64.
    19. Kyle J. Kain & Trevon D. Logan, 2014. "Are Sports Betting Markets Prediction Markets?," Journal of Sports Economics, , vol. 15(1), pages 45-63, February.
    20. David Forrest & Robert Simmons, 2008. "Sentiment in the betting market on Spanish football," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 119-126.
    21. Benjamin Edelman, 2012. "Using Internet Data for Economic Research," Journal of Economic Perspectives, American Economic Association, vol. 26(2), pages 189-206, Spring.
    22. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2011. "Sentimental Preferences and the Organizational Regime of Betting Markets," Southern Economic Journal, John Wiley & Sons, vol. 78(2), pages 502-518, October.
    23. Sebastian Braun & Michael Kvasnicka, 2013. "National Sentiment and Economic Behavior," Journal of Sports Economics, , vol. 14(1), pages 45-64, February.
    24. Raphael Flepp & Stephan Nüesch & Egon Franck, 2016. "Does Bettor Sentiment Affect Bookmaker Pricing?," Journal of Sports Economics, , vol. 17(1), pages 3-11, January.
    25. 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.
    26. Benjamin Edelman, 2012. "Earnings And Ratings At Google Answers," Economic Inquiry, Western Economic Association International, vol. 50(2), pages 309-320, April.
    27. Avery, Christopher & Chevalier, Judith, 1999. "Identifying Investor Sentiment from Price Paths: The Case of Football Betting," The Journal of Business, University of Chicago Press, vol. 72(4), pages 493-521, October.
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    Cited by:

    1. Arne Feddersen & Brad R. Humphreys & Brian P. Soebbing, 2020. "Casual bettors and sentiment bias in NBA and NFL betting," Applied Economics, Taylor & Francis Journals, vol. 52(53), pages 5797-5806, November.
    2. Paul Bose & Eberhard Feess & Helge Mueller, 2022. "Favoritism towards High-Status Clubs: Evidence from German Soccer," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 38(2), pages 422-478.
    3. Oliver Merz & Raphael Flepp & Egon Franck, 2019. "Does sentiment harm market efficiency? An empirical analysis using a betting exchange setting," Working Papers 381, University of Zurich, Department of Business Administration (IBW).
    4. Lenten, Liam J.A. & Crosby, Paul & McKenzie, Jordi, 2019. "Sentiment and bias in performance evaluation by impartial arbitrators," Economic Modelling, Elsevier, vol. 76(C), pages 128-134.
    5. Michels, Rouven & Ötting, Marius & Langrock, Roland, 2023. "Bettors’ reaction to match dynamics: Evidence from in-game betting," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1118-1127.
    6. David Winkelmann & Marius Ötting & Christian Deutscher & Tomasz Makarewicz, 2024. "Are Betting Markets Inefficient? Evidence From Simulations and Real Data," Journal of Sports Economics, , vol. 25(1), pages 54-97, January.
    7. Barge-Gil, Andrés & García-Hiernaux, Alfredo, 2019. "Staking plans in sports betting under unknown true probabilities of the event," MPRA Paper 92196, University Library of Munich, Germany.
    8. Mills, Brian M. & Salaga, Steven, 2018. "A natural experiment for efficient markets: Information quality and influential agents," Journal of Financial Markets, Elsevier, vol. 40(C), pages 23-39.
    9. Andre Boik, 2017. "The empirical effects of competition on third‐degree price discrimination in the presence of arbitrage," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(4), pages 1023-1036, November.
    10. Christian Deutscher & Marius Ötting & Sandra Schneemann & Hendrik Scholten, 2019. "The Demand for English Premier League Soccer Betting," Journal of Sports Economics, , vol. 20(4), pages 556-579, May.
    11. 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.
    12. Christian Deutscher & Bernd Frick & Marius Ötting, 2018. "Betting market inefficiencies are short-lived in German professional football," Applied Economics, Taylor & Francis Journals, vol. 50(30), pages 3240-3246, June.
    13. Merz, Oliver & Flepp, Raphael & Franck, Egon, 2021. "Sonic Thunder vs. Brian the Snail: Are people affected by uninformative racehorse names?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    14. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.
    15. David Winkelmann & Christian Deutscher & Marius Ötting, 2021. "Bookmakers’ mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 3054-3064, June.
    16. Andrés Barge-Gil & Alfredo Garcia-Hiernaux, 2020. "Staking in Sports Betting Under Unknown Probabilities: Practical Guide for Profitable Bettors," Journal of Sports Economics, , vol. 21(6), pages 593-609, August.
    17. Christian Deutscher & David Winkelmann & Marius Otting, 2020. "Bookmakers' mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Papers 2008.05417, arXiv.org, revised Aug 2020.
    18. Georgios Nalbantis & Tim Pawlowski & Dennis Coates, 2017. "The Fans’ Perception of Competitive Balance and Its Impact on Willingness-to-Pay for a Single Game," Journal of Sports Economics, , vol. 18(5), pages 479-505, June.

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    More about this item

    Keywords

    investor sentiment; sports betting; social media;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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