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Sporting Performances and the Volatility of Listed Football Clubs

Author

Listed:
  • Ramzi Benkraiem

    (Institut d’Économie Scientifique et de Gestion (IESEG) School of Management)

  • Frédéric Le Roy

    (University Montpellier and Group Sup de Co Montpellier Business School)

  • Waël Louhichi

    (University of Rennes I, IAE de Rennes and CREM)

Abstract
This study investigates the effect of sporting performances on the volatility of listed football clubs. The theoretical background is based on the importance of intangible assets in the football industry and the difficulty in evaluating them. The empirical analysis is based on the family of autoregressive conditional heteroskedasticity (ARCH) models and relates to a sample of football clubs listed on the Alternative Investment Market (AIM) and included in the Dow Jones STOXX Football Index. The findings show that sporting performances have a significant impact on the volatility of listed football clubs. The magnitude of the market reaction depends on the result nature (defeat, draw, or win) and the match venue (home or away). This study fills a gap in the empirical literature by providing a level of analysis unmatched by previous research. Thus, it should be of interest to academics as well as investors in better understanding and evaluating the volatility movements of listed football clubs.

Suggested Citation

  • Ramzi Benkraiem & Frédéric Le Roy & Waël Louhichi, 2011. "Sporting Performances and the Volatility of Listed Football Clubs," International Journal of Sport Finance, Fitness Information Technology, vol. 6(4), pages 283-297, November.
    • Handle: RePEc:jsf:intjsf:v:6:y:2011:i:4:p:283-297
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    Cited by:

    1. Robert Ślepaczuk & Igor Wabik, 2020. "The impact of the results of football matches on the stock prices of soccer clubs," Working Papers 2020-35, Faculty of Economic Sciences, University of Warsaw.
    2. David Alaminos & Ignacio Esteban & M. Belén Salas, 2023. "Neural networks for estimating Macro Asset Pricing model in football clubs," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(2), pages 57-75, April.

    More about this item

    Keywords

    stock market valuation; football; sporting results; mixture of distribution hypothesis; EGARCH; conditional volatility;
    All these keywords.

    JEL classification:

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

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