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 language | English |
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Article number | 104863 |
Number of pages | 33 |
Journal | Journal of Economic Dynamics and Control |
Volume | 163 |
Early online date | 20 Apr 2024 |
DOIs | |
Publication status | Published - 21 May 2024 |
Bibliographical note
Publisher Copyright:© 2024
Research Groups and Themes
- AF Financial Markets