Crypto Economics - The Top 100 Token Models Compared
Wulf A. Kaal · 2018
The article provides an overview of the evolving economic incentive designs in decentralized systems. After introducing the decentralized economic policy tools that influence token design, the author examines the leading token models in a hand-selected dataset comprising the top one hundred cryptocurrencies by market capitalization (N=100). The dataset enables a time series trend analysis of token models, consensus algorithms, and governance mechanisms, among other data points. Key Words: Emerging Technology, Crypto Economics, Token Models, Incentive Design, Velocity, Supply, Demand, Tokens, Initial Coin Offerings, Blockchain, Distributed Ledger Technology, Regulation, Market Abuse, Investor Protection, Artificial Intelligence, Machine Learning, Data Science, Data Scientists, Innovation, Entrepreneur, Start-up, Big Data, Diversification, Optimization, Efficiency, Governance, Bad Actors, Risk Factors, Regulation JEL Categories: K20, K23, K32, L43, L5, O31, O32 * © 2018 Wulf A. Kaal. Professor, University of Saint Thomas School of Law, Minneapolis. The author is grateful for outstanding research assistance from Daniel Dosch, Samuel Evans, Stephanie Jones, Hayley Howe, and research librarian Nicole Catlin. 0 Electronic copy available at: https://ssrn.com/abstract=3249860 Electronic copy available at: https://ssrn.com/abstract=3249860
Cite: Wulf A. Kaal, Crypto Economics - The Top 100 Token Models Compared (2018). SSRN: https://ssrn.com/abstract=3249860. https://doi.org/10.2139/SSRN.3249860
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