Social Media Sentiment in International Stock Returns and Trading Activity

被引:54
|
作者
Selin, Duz Tan [1 ]
Tas, Oktay [1 ]
机构
[1] Istanbul Tech Univ, Dept Engn Management, TR-34367 Istanbul, Turkey
关键词
Social media sentiment; Twitter sentiment; Twitter activity; Stock returns; Trading activity; INVESTOR SENTIMENT; INFORMATION-CONTENT; RISK; NOISE; EQUILIBRIUM; WISDOM; TWEETS; CROWDS; NEWS;
D O I
10.1080/15427560.2020.1772261
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The authors investigate the impact of social media on S&P index constituents for U.S., European, and emerging markets with the international investor perspective using firm-specific Twitter sentiment and activity. The findings indicate that Twitter activity and sentiment are associated with trading volume and returns, and predicts subsequent-day trading volume. The authors find that firm-specific Twitter sentiment contains information for predicting stock returns and this predictive power remains significant after controlling news sentiment. The positive tone of Twitter sentiment is more pronounced in small and emerging market firms, which is consistent with the literature stating that small firms are hard to value and emerging market firms contain high information asymmetry. From a practical perspective, investors could potentially use social media sentiment in trading strategies.
引用
收藏
页码:221 / 234
页数:14
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