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Sentimental Preferences and the Organizational Regime of Betting Markets

Author

Listed:
  • Egon Franck

    (Institute for Strategy and Business Economics, University of Zurich)

  • Erwin Verbeek

    (Institute for Strategy and Business Economics, University of Zurich)

  • Stephan Nuesch

    (Institute for Strategy and Business Economics, University of Zurich)

Abstract

We analyze the price impact of sentimental bettor preferences within a bookmaker betting market. Our model demonstrates that, under reasonable assumptions about the nature of demand in a market with strong competition, the bookmaker will offer lower prices for bets with comparatively stronger demand. Using a sample of more than 16,000 English soccer matches we find evidence that more favorable odds are extended to bets on more popular clubs and that this effect is amplified on weekends when sentimental bettors face lower opportunity costs to wager. Our findings help to explain why the market for sports gambling operates as a hybrid structure with bookmakers able to attract a considerable share of the betting volume although identical contracts are traded on exchange markets at lower costs; the organizational design of a quote-driven market enables the dealer to take advantage of sentimental bettor preferences.

Suggested Citation

  • Egon Franck & Erwin Verbeek & Stephan Nuesch, 2008. "Sentimental Preferences and the Organizational Regime of Betting Markets," Working Papers 0089, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2010.
  • Handle: RePEc:iso:wpaper:0089
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    References listed on IDEAS

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    1. 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.
    2. Richard E. Quandt, 1986. "Betting and Equilibrium," The Quarterly Journal of Economics, Oxford University Press, vol. 101(1), pages 201-207.
    3. Braun, Sebastian & Kvasnicka, Michael, 2008. "Against All Odds? – National Sentiment and Wagering on European Football," Ruhr Economic Papers 42, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Edward C. Norton & Hua Wang & Chunrong Ai, 2004. "Computing interaction effects and standard errors in logit and probit models," Stata Journal, StataCorp LP, vol. 4(2), pages 154-167, June.
    5. David Forrest & Robert Simmons, 2008. "Sentiment in the betting market on Spanish football," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 119-126.
    6. Hyun Song Shin, 2008. "Prices Of State Contingent Claims With Insider Traders, And The Favourite-Longshot Bias," World Scientific Book Chapters, in: Donald B Hausch & Victor SY Lo & William T Ziemba (ed.), Efficiency Of Racetrack Betting Markets, chapter 34, pages 343-352, World Scientific Publishing Co. Pte. Ltd..
    7. Les Coleman, 2004. "New light on the longshot bias," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 315-326.
    8. Smith, Michael A. & Paton, David & Williams, Leighton Vaughan, 2009. "Do bookmakers possess superior skills to bettors in predicting outcomes?," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 539-549, August.
    9. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    10. David Paton & Donald S. Siegel & Leighton Vaughan Williams, 2010. "Symposium - Gambling, Prediction Markets and Public Policy," Southern Economic Journal, John Wiley & Sons, vol. 76(4), pages 878-883, April.
    11. Franck, Egon & Verbeek, Erwin & Nüesch, Stephan, 2010. "Prediction accuracy of different market structures -- bookmakers versus a betting exchange," International Journal of Forecasting, Elsevier, vol. 26(3), pages 448-459, July.
    12. Ali, Mukhtar M, 1977. "Probability and Utility Estimates for Racetrack Bettors," Journal of Political Economy, University of Chicago Press, vol. 85(4), pages 803-815, August.
    13. Michael A. Smith & David Paton & Leighton Vaughan Williams, 2006. "Market Efficiency in Person‐to‐Person Betting," Economica, London School of Economics and Political Science, vol. 73(292), pages 673-689, November.
    14. Marshall, Ben R. & Young, Martin, 2003. "Liquidity and stock returns in pure order-driven markets: evidence from the Australian stock market," International Review of Financial Analysis, Elsevier, vol. 12(2), pages 173-188.
    15. Joseph Golec & Maurry Tamarkin, 1998. "Bettors Love Skewness, Not Risk, at the Horse Track," Journal of Political Economy, University of Chicago Press, vol. 106(1), pages 205-225, February.
    16. Ai, Chunrong & Norton, Edward C., 2003. "Interaction terms in logit and probit models," Economics Letters, Elsevier, vol. 80(1), pages 123-129, July.
    17. Jaiho Chung & Joon Ho Hwang, 2010. "Symposium -An Empirical Examination of the Parimutuel Sports Lottery Market versus the Bookmaker Market," Southern Economic Journal, John Wiley & Sons, vol. 76(4), pages 884-905, April.
    18. Pope, Peter F & Peel, David A, 1989. "Information, Prices and Efficiency in a Fixed-Odds Betting Market," Economica, London School of Economics and Political Science, vol. 56(223), pages 323-341, August.
    19. Shin, Hyun Song, 1991. "Optimal Betting Odds against Insider Traders," Economic Journal, Royal Economic Society, vol. 101(408), pages 1179-1185, September.
    20. Shin, Hyun Song, 1993. "Measuring the Incidence of Insider Trading in a Market for State-Contingent Claims," Economic Journal, Royal Economic Society, vol. 103(420), pages 1141-1153, September.
    21. Bruce, Alistair C. & Johnson, Johnnie E.V., 2005. "Market ecology and decision behaviour in state-contingent claims markets," Journal of Economic Behavior & Organization, Elsevier, vol. 56(2), pages 199-217, February.
    22. 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.
    23. Tim Kuypers, 2000. "Information and efficiency: an empirical study of a fixed odds betting market," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1353-1363.
    24. 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.
    25. 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.
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    Cited by:

    1. Raphael Flepp & Oliver Merz & Egon Franck, 2024. "When the league table lies: Does outcome bias lead to informationally inefficient markets?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 414-429, January.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Franck, Egon & Verbeek, Erwin & Nüesch, Stephan, 2010. "Prediction accuracy of different market structures -- bookmakers versus a betting exchange," International Journal of Forecasting, Elsevier, vol. 26(3), pages 448-459, July.
    8. 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.
    9. 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.
    10. Andrew Grant & Anastasios Oikonomidis & Alistair C. Bruce & Johnnie E. V. Johnson, 2018. "New entry, strategic diversity and efficiency in soccer betting markets: the creation and suppression of arbitrage opportunities," The European Journal of Finance, Taylor & Francis Journals, vol. 24(18), pages 1799-1816, December.
    11. Shank, Corey A., 2022. "Information asymmetry in the NFL gambling market: Inside information versus informed bettors," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    12. 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.
    13. Sebastian Braun & Michael Kvasnicka, 2013. "National Sentiment and Economic Behavior," Journal of Sports Economics, , vol. 14(1), pages 45-64, February.

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    More about this item

    Keywords

    betting; market structure; sentiment; price elasticity;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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