Twitter-Based uncertainty and cryptocurrency returns

David Y. Aharon, Ender Demir, Chi Keung Marco Lau, Adam Zaremba

Research output: Contribution to journalArticlepeer-review

Abstract

We explore the relationship between two novel Twitter-based measures of economic and market uncertainty and the performance of four major cryptocurrencies. Using a battery of methods—quantile regressions, Granger-causality in distributions using copula functions, and directional predictability tests—we examine the behavior of Bitcoin, Ethereum, Bitcoin Cash, and Ripple. Our findings demonstrate a strong causal link between the uncertainty expressed in social media and cryptocurrency returns. The effect is particularly evident for Bitcoin and in the tails of return distributions. Our results cast new light on the importance of cryptocurrencies as an alternative asset class in the wake of global uncertainty.

Original languageEnglish
Article number101546
JournalResearch in International Business and Finance
Volume59
DOIs
Publication statusPublished - 1 Jan 2022

Bibliographical note

Funding Information:
David Y. Aharon acknowledges the support of the Ono Academic College Research Institute, Israel [grant no. 2021/21.01].

Publisher Copyright:
© 2021 Elsevier B.V.

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