Investor herding behavior in social media sentiment

被引:1
|
作者
Yoon, Jinjoo [1 ]
Oh, Gabjin [1 ]
机构
[1] Chosun Univ, Div Business Adm, Gwangju, South Korea
基金
新加坡国家研究基金会;
关键词
herding; social media; sentiment; support vector machine; COVID-19; ANALYST FORECASTS; INFORMATION; MARKETS; DISCLOSURES; DECISION; IMPACT; TALK;
D O I
10.3389/fphy.2022.1023071
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We investigate the mechanisms of investors' herding behavior using machine learning and textural data analysis from social media and the impact of sentiment in forming the herding behavior. We find that the abnormal information creation activity (AICA) for the retail investor is positive and statistically significant with the herding behavior, while informed investors with access to valuable information are negative with relation to the AICA. The herding behavior in firms traded by the retail investor is strongly related to the sentiment in social media at the cross-sectional level and has been more effective after COVID-19.
引用
收藏
页数:16
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