Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media

成果类型:
Article
署名作者:
Chen, Hailiang; De, Prabuddha; Hu, Yu (Jeffrey); Hwang, Byoung-Hyoun
署名单位:
City University of Hong Kong; Purdue University System; Purdue University; University System of Georgia; Georgia Institute of Technology; Korea University
刊物名称:
REVIEW OF FINANCIAL STUDIES
ISSN/ISSBN:
0893-9454
DOI:
10.1093/rfs/hhu001
发表日期:
2014
页码:
1367
关键词:
word-of-mouth information-content earnings IMPACT performance Sentiment sales noise talk news
摘要:
Social media has become a popular venue for individuals to share the results of their own analysis on financial securities. This paper investigates the extent to which investor opinions transmitted through social media predict future stock returns and earnings surprises. We conduct textual analysis of articles published on one of the most popular social media platforms for investors in the United States. We also consider the readers perspective as inferred via commentaries written in response to these articles. We find that the views expressed in both articles and commentaries predict future stock returns and earnings surprises.
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