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The Liquidity Advantage of the Quote-Driven Market: Evidence from the Betting Industry

Author

Listed:
  • Raphael Flepp

    (Department of Business Administration, University of Zurich)

  • Stephan Nüesch

    (Department of Business Administration, University of Zurich)

  • Egon Franck

    (Department of Business Administration, University of Zurich)

Abstract

Even though betting exchanges are considered to be the superior business model in the betting industry due to less operational risk and lower information costs, bookmakers continue to be successful. We explain the puzzling coexistence of these two market structures with the advantage of guaranteed liquidity in the bookmaker market. Using matched panel data of over 1.8 million bookmaker and betting exchange odds for 17,410 soccer matches played worldwide, we find that the bookmaker offers higher odds and bettor returns than the betting exchange when liquidity at the betting exchange is low.

Suggested Citation

  • Raphael Flepp & Stephan Nüesch & Egon Franck, 2014. "The Liquidity Advantage of the Quote-Driven Market: Evidence from the Betting Industry," Working Papers 342, University of Zurich, Department of Business Administration (IBW).
    • Handle: RePEc:zrh:wpaper:342
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. 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).
    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. Hwang, Hae-shin & Jindapon, Paan, 2020. "Market making with convex quotes," Finance Research Letters, Elsevier, vol. 37(C).
    4. 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).
    5. Isabel Abinzano & Luis Muga & Rafael Santamaria, 2019. "Hidden Power of Trading Activity: The FLB in Tennis Betting Exchanges," Journal of Sports Economics, , vol. 20(2), pages 261-285, February.
    6. Angelini, Giovanni & De Angelis, Luca & Singleton, Carl, 2022. "Informational efficiency and behaviour within in-play prediction markets," International Journal of Forecasting, Elsevier, vol. 38(1), pages 282-299.
    7. Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2021. "Are sports betting markets semistrong efficient? Evidence from the COVID-19 pandemic," Working Papers 387, University of Zurich, Department of Business Administration (IBW).
    8. Gustav Axén & Dominic Cortis, 2020. "Hedging on Betting Markets," Risks, MDPI, vol. 8(3), pages 1-14, August.
    9. Dave Cliff, 2021. "BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling," Papers 2105.08310, arXiv.org.
    10. 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.

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    More about this item

    Keywords

    Market Structure; Liquidity; Betting Industry;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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