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Fan tokens: Sports and speculation on the blockchain

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  • Scharnowski, Matthias
  • Scharnowski, Stefan
  • Zimmermann, Lukas

Abstract

This paper provides an economic analysis of fan tokens, which are collectible utility tokens issued by sports clubs. We document that fan token prices are highly volatile and substantially riskier than those of established cryptocurrencies. For a subset of publicly listed clubs, we find that stock and token returns are uncorrelated. Instead, fan tokens tend to closely co-move with each other and the main cryptocurrencies used for buying them. Returns are lower on days when the club unexpectedly loses a game, but higher on days of increased investor attention towards fan tokens. While fan tokens may provide some non-monetary utility, as financial assets they are highly speculative and, in many aspects, resemble cryptocurrencies.

Suggested Citation

  • Scharnowski, Matthias & Scharnowski, Stefan & Zimmermann, Lukas, 2023. "Fan tokens: Sports and speculation on the blockchain," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
  • Handle: RePEc:eee:intfin:v:89:y:2023:i:c:s1042443123001488
    DOI: 10.1016/j.intfin.2023.101880
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    as
    1. Ahelegbey, Daniel Felix & Giudici, Paolo & Mojtahedi, Fatemeh, 2021. "Tail risk measurement in crypto-asset markets," International Review of Financial Analysis, Elsevier, vol. 73(C).
    2. 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.
    3. Bruno Biais & Christophe Bisière & Matthieu Bouvard & Catherine Casamatta & Albert J. Menkveld, 2023. "Equilibrium Bitcoin Pricing," Journal of Finance, American Finance Association, vol. 78(2), pages 967-1014, April.
    4. Baur, Dirk G. & Dimpfl, Thomas & Jung, Robert C., 2012. "Stock return autocorrelations revisited: A quantile regression approach," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 254-265.
    5. Kathryn Graddy & Philip E. Margolis, 2011. "Fiddling With Value: Violins As An Investment?," Economic Inquiry, Western Economic Association International, vol. 49(4), pages 1083-1097, October.
    6. Elroy Dimson & Christophe Spaenjers, 2014. "Investing in Emotional Assets," Post-Print hal-00998271, HAL.
    7. Escanciano, J. Carlos & Lobato, Ignacio N., 2009. "An automatic Portmanteau test for serial correlation," Journal of Econometrics, Elsevier, vol. 151(2), pages 140-149, August.
    8. Zhang, Wei & Li, Yi & Xiong, Xiong & Wang, Pengfei, 2021. "Downside risk and the cross-section of cryptocurrency returns," Journal of Banking & Finance, Elsevier, vol. 133(C).
    9. Corbet, Shaen & Lucey, Brian & Yarovaya, Larisa, 2018. "Datestamping the Bitcoin and Ethereum bubbles," Finance Research Letters, Elsevier, vol. 26(C), pages 81-88.
    10. Shahzad, Syed Jawad Hussain & Bouri, Elie & Ahmad, Tanveer & Naeem, Muhammad Abubakr, 2022. "Extreme tail network analysis of cryptocurrencies and trading strategies," Finance Research Letters, Elsevier, vol. 44(C).
    11. 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.
    12. Renneboog, L.D.R. & Spaenjers, C., 2012. "Hard assets : The return on rare diamonds and gems," Other publications TiSEM 32990d12-ac98-4f42-bad5-9, Tilburg University, School of Economics and Management.
    13. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    14. repec:eme:mfppss:eb018524 is not listed on IDEAS
    15. Chuang, Chia-Chang & Kuan, Chung-Ming & Lin, Hsin-Yi, 2009. "Causality in quantiles and dynamic stock return-volume relations," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1351-1360, July.
    16. David Vidal-Tomás, 2023. "Blockchain, sport and fan tokens," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 51(1), pages 24-38, April.
    17. J. K. Ashton & B. Gerrard & R. Hudson, 2003. "Economic impact of national sporting success: evidence from the London stock exchange," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 783-785.
    18. Brauneis, Alexander & Mestel, Roland, 2018. "Price discovery of cryptocurrencies: Bitcoin and beyond," Economics Letters, Elsevier, vol. 165(C), pages 58-61.
    19. Wenjun Feng & Yiming Wang & Zhengjun Zhang, 2018. "Can cryptocurrencies be a safe haven: a tail risk perspective analysis," Applied Economics, Taylor & Francis Journals, vol. 50(44), pages 4745-4762, September.
    20. Demir, Ender & Ersan, Oguz & Popesko, Boris, 2022. "Are Fan Tokens Fan Tokens?," Finance Research Letters, Elsevier, vol. 47(PB).
    21. Kaplanski, Guy & Levy, Haim, 2010. "Exploitable Predictable Irrationality: The FIFA World Cup Effect on the U.S. Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 535-553, April.
    22. J. K. Ashton & B. Gerrard & R. Hudson, 2011. "Do national soccer results really impact on the stock market?," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3709-3717.
    23. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    24. Baur, Dirk G. & Dimpfl, Thomas, 2018. "Asymmetric volatility in cryptocurrencies," Economics Letters, Elsevier, vol. 173(C), pages 148-151.
    25. Yousaf, Imran & Pham, Linh & Goodell, John W., 2023. "The connectedness between meme tokens, meme stocks, and other asset classes: Evidence from a quantile connectedness approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    26. Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
    27. Dimson, Elroy & Spaenjers, Christophe, 2011. "Ex post: The investment performance of collectible stamps," Journal of Financial Economics, Elsevier, vol. 100(2), pages 443-458, May.
    28. Luc Renneboog & Christophe Spaenjers, 2013. "Buying Beauty: On Prices and Returns in the Art Market," Management Science, INFORMS, vol. 59(1), pages 36-53, February.
    29. Pankaj K. Jain & Thomas H. McInish & Jonathan L. Miller, 2019. "Insights from bitcoin trading," Financial Management, Financial Management Association International, vol. 48(4), pages 1031-1048, December.
    30. Richard Zuber & Patrick Yiu & Reinhold Lamb & John Gandar, 2005. "Investor-fans? An examination of the performance of publicly traded English Premier League teams," Applied Financial Economics, Taylor & Francis Journals, vol. 15(5), pages 305-313.
    31. Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
    32. Alex Edmans & Diego García & Øyvind Norli, 2007. "Sports Sentiment and Stock Returns," Journal of Finance, American Finance Association, vol. 62(4), pages 1967-1998, August.
    33. Jying-Nan Wang & Hung-Chun Liu & Shuang Zhang & Yuan-Teng Hsu, 2021. "How does the informed trading impact Bitcoin returns and volatility?," Applied Economics, Taylor & Francis Journals, vol. 53(28), pages 3223-3233, June.
    34. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    35. Goetzmann, William N, 1993. "Accounting for Taste: Art and the Financial Markets over Three Centuries," American Economic Review, American Economic Association, vol. 83(5), pages 1370-1376, December.
    36. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
    37. Ghosh, Bikramaditya & Bouri, Elie & Wee, Jung Bum & Zulfiqar, Noshaba, 2023. "Return and volatility properties: Stylized facts from the universe of cryptocurrencies and NFTs," Research in International Business and Finance, Elsevier, vol. 65(C).
    38. Laurs, Dries & Renneboog, Luc, 2019. "My kingdom for a horse (or a classic car)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 184-207.
    39. Fung, Ka Wai Terence & Demir, Ender & Lau, Chi Keung Marco & Chan, Kwok Ho, 2015. "Reexamining sports-sentiment hypothesis: Microeconomic evidences from Borsa Istanbul," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 337-355.
    40. Ersan, Oguz & Demir, Ender & Assaf, Ata, 2022. "Connectedness among fan tokens and stocks of football clubs," Research in International Business and Finance, Elsevier, vol. 63(C).
    41. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    42. Chang, Shao-Chi & Chen, Sheng-Syan & Chou, Robin K. & Lin, Yueh-Hsiang, 2012. "Local sports sentiment and returns of locally headquartered stocks: A firm-level analysis," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 309-318.
    43. Christian Klein & Bernhard Zwergel & J. Henning Fock, 2009. "Reconsidering the impact of national soccer results on the FTSE 100," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3287-3294.
    44. Michelle L. Barnes & Anthony W. Hughes, 2002. "A quantile regression analysis of the cross section of stock market returns," Working Papers 02-2, Federal Reserve Bank of Boston.
    45. Kim, Jae H., 2009. "Automatic variance ratio test under conditional heteroskedasticity," Finance Research Letters, Elsevier, vol. 6(3), pages 179-185, September.
    46. Bauckloh, Tobias & Heiden, Sebastian & Klein, Christian & Zwergel, Bernhard, 2019. "New evidence on the impact of the English national soccer team on the FTSE 100," Finance Research Letters, Elsevier, vol. 28(C), pages 61-67.
    47. Yukun Liu & Aleh Tsyvinski, 2021. "Risks and Returns of Cryptocurrency," The Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2689-2727.
    48. 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.
    49. Renneboog, L.D.R. & Spaenjers, C., 2013. "Buying beauty : On prices and returns in the art market," Other publications TiSEM 47e78d10-6224-4e39-9339-9, Tilburg University, School of Economics and Management.
    50. Bowden, James & Gemayel, Roland, 2022. "Sentiment and trading decisions in an ambiguous environment: A study on cryptocurrency traders," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    51. Borri, Nicola, 2019. "Conditional tail-risk in cryptocurrency markets," Journal of Empirical Finance, Elsevier, vol. 50(C), pages 1-19.
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    More about this item

    Keywords

    Fan tokens; Cryptocurrency; Soccer; Sports; Blockchain;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • Z23 - Other Special Topics - - Sports Economics - - - Finance

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