Equilibrium of Blockchain Miners with Dynamic Asset Allocation

Go Yamamoto, Aron Laszka, Fuhito Kojima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We model and analyze blockchain miners who seek to maximize the compound return of their mining businesses. The analysis of the optimal strategies finds a new equilibrium point among the miners and the mining pools, which predicts the market share of each miner or mining pool. The cost of mining determines the share of each miner or mining pool at equilibrium. We conclude that neither miners nor mining pools who seek to maximize their compound return will have a financial incentive to occupy more than 50% of the hash rate if the cost of mining is at the same level for all. However, if there is an outstandingly cost-efficient miner, then the market share of this miner may exceed 50% in the equilibrium, which can threaten the viability of the entire ecosystem.

Original languageEnglish (US)
Title of host publication2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-231
Number of pages5
ISBN (Electronic)9781728170916
DOIs
StatePublished - Sep 2020
Event2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020 - Paris, France
Duration: Sep 28 2020Sep 30 2020

Publication series

Name2020 2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020

Conference

Conference2nd Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2020
Country/TerritoryFrance
CityParis
Period9/28/209/30/20

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Decision Sciences (miscellaneous)
  • Information Systems and Management

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