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Journals / Ege Akademik Bakış Dergisi / 2026 / Cilt: 24 Sayı: 2

The Determinants of Prices of Fan Tokens as a New Sports Finance Tool

Ersin Kanat(ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ)0000-0002-9361-4495
Emrah Öget(ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ)0000-0002-7659-4357
Ferudun Kaya(BOLU ABANT İZZET BAYSAL ÜNİVERSİTESİ)0000-0002-8930-9711
Pages
221–232
Publication Date
2024-05-25
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Then the durbin test was performed and it was concluded that the variables were cointegrated.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the Covid-19 era, the income sources of sports clubs decreased, but the importance of fan tokens as new communication, management, and income source for sports clubs increased with Blockchain technology.
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Key Findings & Data:Then the durbin test was performed and it was concluded that the variables were cointegrated.
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Conclusion & Impact:It was concluded that the short-term deviations returned to the equilibrium after approximately 21 days.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:fan token · sports finance · club success

Abstract

In the Covid-19 era, the income sources of sports clubs decreased, but the importance of fan tokens as new communication, management, and income source for sports clubs increased with Blockchain technology. For this reason, the relationships between fan token prices and club success, transaction volume, and attractiveness factors were examined and the important determinants of fan token prices were tried to be revealed. To determine the most suitable methods for panel data model, first of all, cross-section dependence, homogeneity, and unit root tests were carried out. Then the durbin test was performed and it was concluded that the variables were cointegrated. Finally, the coefficients were examined with the PMG/ARDL test and it was observed that the most important determinants of fan token prices were club success and transaction volume, respectively. While these factors affect fan token prices positively, the effect of the attractiveness factor is seen as less important and negative compared to other factors. In addition, in the error correction model established, the existence of a long-term equilibrium relationship between the variables was confirmed. It was concluded that the short-term deviations returned to the equilibrium after approximately 21 days.

🔖

Cite This Article

Kanat, E., Öget, E., Kaya, F. (2024). The Determinants of Prices of Fan Tokens as a New Sports Finance Tool. Ege Akademik Bakış Dergisi, Cilt: 24 Sayı: 2, 221–232. https://doi.org/10.21121/eab.1309596

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