Cross-cryptocurrency return predictability

Li Guo, Bo Sang, Jun Tu, Yu Wang

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

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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