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Crypto market betas: the limits of predictability and hedging

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F25%3A00646138" target="_blank" >RIV/67985556:_____/25:00646138 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11230/25:10511365

  • Result on the web

    <a href="https://link.springer.com/article/10.1186/s40854-025-00777-w" target="_blank" >https://link.springer.com/article/10.1186/s40854-025-00777-w</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s40854-025-00777-w" target="_blank" >10.1186/s40854-025-00777-w</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Crypto market betas: the limits of predictability and hedging

  • Original language description

    This article analyzes the predictability of market betas concerning cryptocurrency assets and evaluates the efficiency of beta-hedged, market-neutral portfolios. We forecast 1-year-ahead market betas using various estimating methods, including ordinary least squares (OLS) and Vasicek’s Bayesian shrinkage estimator, and assess their impact on portfolio variance reduction across cryptomarket indices. Our findings indicate that while standard OLS betas explain significantly less of the variation in future betas for cryptoassets compared to US stocks, slope winsorization and Bayesian shrinkage improve prediction accuracy. The results suggest that beta-hedged portfolios reduce variance for approximately 17% of the universe, with the Broad Digital Market Index demonstrating the best hedging efficiency. These findings underscore the significant challenges of developing effective hedging strategies in the cryptocurrency market, emphasizing the importance of idiosyncratic risk in crypto returns and the need for appropriate market index representation.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

    <a href="/en/project/GA23-06606S" target="_blank" >GA23-06606S: Deep dive into decentralized finance: Market microstructure, and behavioral and psychological patterns</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Financial Innovation

  • ISSN

    2199-4730

  • e-ISSN

    2199-4730

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    28

  • Pages from-to

    107

  • UT code for WoS article

    001488135200001

  • EID of the result in the Scopus database

    2-s2.0-105005093210