Does twitter predict Bitcoin?

C-Tier
Journal: Economics Letters
Year: 2019
Volume: 174
Issue: C
Pages: 118-122

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper adds to the growing literature of Bitcoin by examining the link between investor attention and Bitcoin returns, trading volume and realized volatility. Unlike previous studies, we employ the number of tweets from Twitter as a measure of attention rather than Google trends as we argue this is a better measure of attention from more informed investors. We find that the number of tweets is a significant driver of next day trading volume and realized volatility which is supported by linear and nonlinear Granger causality tests.

Technical Details

RePEc Handle
repec:eee:ecolet:v:174:y:2019:i:c:p:118-122
Journal Field
General
Author Count
3
Added to Database
2026-01-29