Miners' Reward Elasticity and Stability of Competing Proof-of-Work Cryptocurrencies
成果类型：
Article
署名作者：
Kawaguchi, Kohei; Komiyama, Junpei; Noda, Shunya
署名单位：
Hong Kong University of Science & Technology; New York University; University of Tokyo
刊物名称：
INTERNATIONAL ECONOMIC REVIEW
ISSN/ISSBN：
0020-6598
DOI：
10.1111/iere.70060
发表日期：
2026
关键词：
摘要：
Proof-of-Work cryptocurrencies employ miners to sustain the system through algorithmic reward adjustments. We develop a stochastic model of the multicurrency mining and identify conditions for stable transaction speeds. Bitcoin's algorithm requires hash supply elasticity 1 for stability, while ASERT remains stable for any elasticity and can be interpreted as a form of stochastic gradient descent. Interactions with other currencies can relax Bitcoin's stability requirements. Using a halving event, we estimate miners' hash supply elasticity and conduct counterfactual simulations. Our findings reveal Bitcoin's heavy reliance on low hash supply elasticity and interactions with smaller cryptocurrencies, urging an algorithm upgrade for stability.