2018
DOI: 10.1111/fima.12245
|View full text |Cite
|
Sign up to set email alerts
|

Communication and Comovement: Evidence from Online Stock Forums

Abstract: We study investor communication and stock comovement using a novel data set from an active online stock forum in China. We find substantial comovement among the returns of a stock and its “related stocks,” which are frequently discussed in the subforum dedicated to the given stock. Comovement is greater when the discussion of related stocks is more intensive. Further, the effect of communication on comovement is stronger for stocks associated with higher information uncertainty. Codiscussed stocks are more act… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
7
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 34 publications
(9 citation statements)
references
References 75 publications
(102 reference statements)
2
7
0
Order By: Relevance
“…Following Jiang, Liu and Yang (2019), we examine the relation between retail investor voice and corporate innovation in the year before (i.e. 2012, the control year) or after (i.e.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Following Jiang, Liu and Yang (2019), we examine the relation between retail investor voice and corporate innovation in the year before (i.e. 2012, the control year) or after (i.e.…”
Section: Resultsmentioning
confidence: 99%
“…As of the end of 2018, it covers over 3000 stocks and has approximately 200 million messages. Perhaps because of its popularity, it has been employed as the main data source for many studies, such as Jiang et al (2019) and Ang et al (2021). 12 Visit https://www.investor.org.cn/investor_interaction/ questionnaire/tzzbg/201905/t20190509_365638.shtml for more information.…”
Section: Investor Voice Measurementmentioning
confidence: 99%
See 1 more Smart Citation
“…Eastmoney website provides the largest and the most influential financial portal; its effective browsing time accounts for 55.6 per cent of the total effective browsing time in financial portals in China [1]. At present, Eastmoney's internet stock message board is commonly used by researchers who focus on investor communication (Jiang et al, 2016), information diffusion (Ackert et al, 2016;Li et al, 2018;Hao et al, 2019), investor sentiment (Lai et al, 2014) and even investor attention (Huang et al, 2016;Zhang and Tao, 2018), which verifies that big data is a useful information (Coyne et al, 2018) . The CDT is a database of Eastmoney that covers high frequency data of stocks, securities, funds and commodities.…”
Section: Sample and Descriptive Analysis 31 Sample Selectionmentioning
confidence: 99%
“…The second stage is based on the primary exogenous data, mainly including news media coverage [16][17][18] and advertising expenses [19,20]. The third stage is based on the advanced exogenous data, mainly including search volume index (SVI) [21][22][23][24][25] and social network (including Twitter feeds, blogs, forum, and Wikipedia) [26][27][28][29][30]. Above all, the massive data sources resulting from human interaction with the Internet have offered a new perspective on the behavior of market participants besides investors in the stock market.…”
mentioning
confidence: 99%