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Football and Stock Market Performance Correlation: Evidence from Italy

Author

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  • Claudiu BoÈ›oc
  • Eugen Mihancea
  • Alin MolcuÈ›

Abstract

The increasing growth of soccer economy is delivering new challenges for prospective investors in terms of stock price volatility. Such challenges are rooted in behavioral finance and efficient market hypotheses. Given this, the aim of our paper is to test the link between sport performance and correspondent stock price for the Italian listed football clubs (Juventus, Lazio, AS Roma). Our results suggest that soccer wins are likely to have a positive impact over stock price. This impact is more pronounced for local stocks and thus the findings have policy implications for emotional investors. JEL Codes - G12; G32; M14

Suggested Citation

  • Claudiu BoÈ›oc & Eugen Mihancea & Alin MolcuÈ›, 2019. "Football and Stock Market Performance Correlation: Evidence from Italy," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 66(4), pages 525-539, December.
    • Handle: RePEc:aic:saebjn:v:66:y:2019:i:4:p:525-539:n:168
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    References listed on IDEAS

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    1. Bert Scholtens & Wijtze Peenstra, 2009. "Scoring on the stock exchange? The effect of football matches on stock market returns: an event study," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3231-3237.
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    3. Renneboog, L.D.R. & Vanbrabant, P., 2000. "Share Price Reactions to Sporty Performances of Soccer Clubs listed on the London Stock Exchange and the AIM," Discussion Paper 2000-19, Tilburg University, Center for Economic Research.
    4. Ender Demir & Hakan Danis, 2011. "The Effect of Performance of Soccer Clubs on Their Stock Prices: Evidence from Turkey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 58-70, September.
    5. Dobson, Stephen & Goddard, John, 2003. "Persistence in sequences of football match results: A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 148(2), pages 247-256, July.
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    Cited by:

    1. 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.

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    More about this item

    Keywords

    efficient markets hypothesis; volatility; GARCH; football results; soccer clubs;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility

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