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Explaining cryptocurrency returns: A prospect theory perspective

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  • Chen, Rongxin
  • Lepori, Gabriele M.
  • Tai, Chung-Ching
  • Sung, Ming-Chien

Abstract

We investigate prospect theory’s ability to explain cryptocurrency returns using data concerning 1,573 cryptocurrencies over the period 2014–2020. In line with the theory’s predictions, we find that cryptocurrencies that are more (less) attractive from a prospect theory perspective earn lower (higher) future returns, suggesting that they tend to be overpriced (underpriced). On average, a one cross-sectional standard-deviation increase in the prospect theory value of a cryptocurrency reduces its next-week return by 0.71% relative to its peers. This effect is stronger among cryptocurrencies that are more difficult to arbitrage, but it is not confined to the micro-cap segment of the market.

Suggested Citation

  • Chen, Rongxin & Lepori, Gabriele M. & Tai, Chung-Ching & Sung, Ming-Chien, 2022. "Explaining cryptocurrency returns: A prospect theory perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:intfin:v:79:y:2022:i:c:s1042443122000804
    DOI: 10.1016/j.intfin.2022.101599
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    Cited by:

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    More about this item

    Keywords

    Prospect theory; Behavioural asset pricing; Cryptocurrency; Cross-section of returns;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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