Risk factors in cryptocurrency pricing
Tian Lan and
Michael Frömmel
International Review of Financial Analysis, 2025, vol. 105, issue C
Abstract:
This paper investigates the cross-sectional return predictability in the cryptocurrency market by systematically constructing and analyzing a comprehensive set of risk factors. Building on traditional asset pricing literature and the unique tokenomic characteristics of digital assets, we examine eleven key factors, including market, size, momentum, supply dynamics, network activity, computing power, technological attributes, governance decentralization, liquidity, volatility, and behavioral attention. Using quintile portfolio sorting, Fama-MacBeth regressions, and principal component analysis, we evaluate the pricing power and significance of each factor in explaining cryptocurrency returns. Our findings show that several token-specific factors are significantly priced in the cross section, indicating that crypto-assets reflect systematic risks and behavioral influences despite their decentralized nature.
Keywords: Cryptocurrency pricing; Market efficiency; Risk factors (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1057521925004764
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:105:y:2025:i:c:s1057521925004764
DOI: 10.1016/j.irfa.2025.104389
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().