Title
How mood affects the stock market: Empirical evidence from microblogs
Abstract
Examining 22,504 tweets extracted from Sina Weibo, a microblog site, we identify two clusters of microblog users and study how they influence the stock market. Our research contributes the following significant findings to the existing literature. First, we discover that there exists an inverse U-shaped curve between stock return and the attention of both news media and investors. Second, we verify that news media attention plays a positive moderating effect in the relationship between investor attention and the stock return. Finally, we find that social interaction could positively moderate the effect of news media’s and investor’s sentiments on stock return.
Year
DOI
Venue
2020
10.1016/j.im.2019.103181
Information & Management
Keywords
DocType
Volume
Text mining,Microblog,Sentiment analysis,Stock return
Journal
57
Issue
ISSN
Citations 
5
0378-7206
1
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yuan Sun1134.36
Xuan Liu210.34
Guangyue Chen310.34
Yunhong Hao410.68
Zuopeng (Justin) Zhang5364.59