Anticipatory Gains and Event-Driven Losses in Blockchain-Based Fan Tokens: Evidence from the FIFA World Cup
By Aman Saggu, Lennart Ante, Ender Demir
Rating
1360
Battle Count: 29
Relevance
8/10
Provides insights into fan token behavior during major sporting events, useful for developing trading strategies in this niche market
Implementation Complexity
6/10
Requires access to high-frequency data and implementation of event study methodology
Reproducibility
4/5
Detailed methodology and data sources provided, but some proprietary data may be required
About this paper
Methodology: Event Study. Problem types: Time Series Analysis, Event Study.
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