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The behaviour of share returns of football clubs: An econophysics approach

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  • Ferreira, Paulo
  • Loures, Luís
  • Nunes, José Rato
  • Dionísio, Andreia

Abstract

Football is a sport that moves thousands of people and millions of euros. Since 1983, several clubs entered the stock markets with shares, and now twenty two clubs are listed in the Stoxx Football Index. In this study, we analyse the behaviour of the return rates of such shares, with Detrended Fluctuation Analysis and Detrended Cross-Correlation Analysis (and its correlation coefficient). With Detrended Fluctuation Analysis, we are able to observe that the shares of several clubs are far from the behaviour of a random walk, which is expected by the theory. Using Detrended Cross-Correlation Analysis, we calculate the cross correlations of clubs’ returns with national indexes and then with the Stoxx Football Index. Although almost all of them are positive, they do not seem to be strong.

Suggested Citation

  • Ferreira, Paulo & Loures, Luís & Nunes, José Rato & Dionísio, Andreia, 2017. "The behaviour of share returns of football clubs: An econophysics approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 136-144.
    • Handle: RePEc:eee:phsmap:v:472:y:2017:i:c:p:136-144
    DOI: 10.1016/j.physa.2017.01.022
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    as
    1. Muchnik, Lev & Bunde, Armin & Havlin, Shlomo, 2009. "Long term memory in extreme returns of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4145-4150.
    2. Palomino, Frederic & Renneboog, Luc & Zhang, Chendi, 2009. "Information salience, investor sentiment, and stock returns: The case of British soccer betting," Journal of Corporate Finance, Elsevier, vol. 15(3), pages 368-387, June.
    3. Yanhui Liu & Pierre Cizeau & Martin Meyer & Chung-Kang Peng & H. Eugene Stanley, 1997. "Correlations in Economic Time Series," Papers cond-mat/9706021, arXiv.org.
    4. da Silva, Marcus Fernandes & Leão Pereira, Éder Johnson de Area & da Silva Filho, Aloisio Machado & Nunes de Castro, Arleys Pereira & Miranda, José Garcia Vivas & Zebende, Gilney Figueira, 2015. "Quantifying cross-correlation between Ibovespa and Brazilian blue-chips: The DCCA approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 124-129.
    5. Wang, Gang-Jin & Xie, Chi & Chen, Shou & Yang, Jiao-Jiao & Yang, Ming-Yan, 2013. "Random matrix theory analysis of cross-correlations in the US stock market: Evidence from Pearson’s correlation coefficient and detrended cross-correlation coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3715-3730.
    6. Georg Stadtmann, 2006. "Frequent News and Pure Signals: The Case of a Publicly Traded Football Club," IASE Conference Papers 0625, International Association of Sports Economists.
    7. 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.
    8. Paulo Ferreira & Andreia Dion�sio, 2014. "Revisiting serial dependence in the stock markets of the G7 countries, Portugal, Spain and Greece," Applied Financial Economics, Taylor & Francis Journals, vol. 24(5), pages 319-331, March.
    9. Zebende, G.F., 2011. "DCCA cross-correlation coefficient: Quantifying level of cross-correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(4), pages 614-618.
    10. Michel Aglietta & Wladimir Andreff & Bastien Drut, 2010. "Floating European football clubs in the stock market," EconomiX Working Papers 2010-24, University of Paris Nanterre, EconomiX.
    11. Georg Stadtmann, 2006. "Frequent News And Pure Signals: The Case Of A Publicly Traded Football Club," Scottish Journal of Political Economy, Scottish Economic Society, vol. 53(4), pages 485-504, September.
    12. Georg Stadtmann, 2006. "Frequent News and Pure Signals: The Case of a Publicly Traded Football Club," Working Papers 0603, International Association of Sports Economists;North American Association of Sports Economists.
    13. Jaroszewicz, Sebastian & Mariani, M. Cristina & Ferraro, Marta, 2005. "Long correlations and truncated Levy walks applied to the study Latin-American market indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(2), pages 461-474.
    14. Adrian R. Bell & Chris Brooks & David Matthews & Charles Sutcliffe, 2012. "Over the moon or sick as a parrot? The effects of football results on a club's share price," Applied Economics, Taylor & Francis Journals, vol. 44(26), pages 3435-3452, September.
    15. Ferreira, Paulo, 2016. "Does the Euro crisis change the cross-correlation pattern between bank shares and national indexes?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 320-329.
    16. Hakan Berument & Esin Gšzpinar & Basak Ceylan, 2006. "Performance of Soccer on the Stock Market:Evidence from Turkey," Working Papers 0606, Department of Economics, Bilkent University.
    17. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    18. Ferreira, Paulo & Dionísio, Andreia, 2016. "How long is the memory of the US stock market?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 502-506.
    19. B. Podobnik & I. Grosse & D. Horvatić & S. Ilic & P. Ch. Ivanov & H. E. Stanley, 2009. "Quantifying cross-correlations using local and global detrending approaches," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(2), pages 243-250, September.
    20. Liu, Yanhui & Cizeau, Pierre & Meyer, Martin & Peng, C.-K. & Eugene Stanley, H., 1997. "Correlations in economic time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 245(3), pages 437-440.
    21. Gennaro Bernile & Evgeny Lyandres, 2011. "Understanding Investor Sentiment: The Case of Soccer," Financial Management, Financial Management Association International, vol. 40(2), pages 357-380, June.
    22. Kantelhardt, Jan W & Koscielny-Bunde, Eva & Rego, Henio H.A & Havlin, Shlomo & Bunde, Armin, 2001. "Detecting long-range correlations with detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 441-454.
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    Cited by:

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