Cross-cryptocurrency return predictability

Li Guo, Bo Sang, Jun Tu, Yu Wang

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    4 Citations (Scopus)

    Abstract

    Using data from Binance, we find strong evidence of cross-cryptocurrency return predictability. The lagged returns of other cryptocurrencies serve as significant predictors of focal cryptocurrencies. The results are robust across various methods, including the adaptive LASSO and principal component analysis. Furthermore, a long-short portfolio formed on the past returns of cryptocurrencies can generate a sizable return out-of-sample after accounting for transaction costs. Overall, our findings corroborate cross-cryptocurrency return predictability and are consistent with the spillover effect mechanism, where common shocks among cryptocurrencies coupled with the limited attention of investors lead to slow information diffusion across coins.
    Original languageEnglish
    Article number104863
    Number of pages33
    JournalJournal of Economic Dynamics and Control
    Volume163
    Early online date20 Apr 2024
    DOIs
    Publication statusPublished - 21 May 2024

    Bibliographical note

    Publisher Copyright:
    © 2024

    Research Groups and Themes

    • AF Financial Markets

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