Does investor sentiment on social media provide robust information for Bitcoin returns predictability?

被引:56
|
作者
Guegan, Dominique [1 ,2 ]
Renault, Thomas [1 ]
机构
[1] Univ Paris 1 Pantheon Sorbonne CES, Paris, France
[2] Ca Foscari Univ, Venice, Italy
关键词
Cryptocurrency; Bitcoin; Investor sentiment; Investor attention; Market efficiency; Social media; Stocktwits;
D O I
10.1016/j.frl.2020.101494
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We use a dataset of approximately one million messages sent on StockTwits to explore the relationship between investor sentiment on social media and intraday Bitcoin returns. We find a statistically significant relationship between investor sentiment and Bitcoin returns for frequencies of up to 15 minutes. For lower frequencies, the relation disappears. We also find that the impact of sentiment on returns is concentrated on the period around the Bitcoin bubble. However, the magnitude of the effect is rather small making it impossible for a trader to make economic profits by trading on the information published on social media.
引用
收藏
页数:7
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