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Cryptocurrency, Imperfect Information, and Fraud

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  • Li, Yiting
  • Wang, Chien-Chiang

Abstract

We study cryptocurrency in a monetary economy with imperfect information. The network imperfection provides traders opportunities to engage in double spending fraud, but the trackability of transaction messages allows us to impose proof-of-work (PoW), proof-of-stake (PoS), and currency exclusion to mitigate fraud incentives. However, PoW consumes energy, and PoS requires extra cryptocurrency to be held as deposits, so deterring fraud may not be optimal. We find that forks can serve as signals to detect double spending fraud and to trigger punishments. If the probability is high that forks appear under double spending, imposing PoW and PoS to deter fraud is optimal; otherwise, it is optimal to save the cost but allow for double spending. Finally, by endogenizing the incentives to double spend and the size of PoW and PoS, we show that cryptocurrency economy can achieve efficient allocation as the imperfectness of the internet is sufficiently low.

Suggested Citation

  • Li, Yiting & Wang, Chien-Chiang, 2019. "Cryptocurrency, Imperfect Information, and Fraud," MPRA Paper 94309, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:94309
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    References listed on IDEAS

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    Cited by:

    1. Raphael Auer & Cyril Monnet & Hyun Song Shin, 2021. "Permissioned Distributed Ledgers and the Governance of Money," Diskussionsschriften dp2101, Universitaet Bern, Departement Volkswirtschaft.
    2. Auer, Raphael & Shin, Hyun Song & Monnet, Cyril, 2021. "Distributed Ledgers and the Governance of Money," CEPR Discussion Papers 16752, C.E.P.R. Discussion Papers.

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    More about this item

    Keywords

    cryptocurrency; money; search; imperfect information; fraud;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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