EconPapers    
Economics at your fingertips  
 

Measurement of Individual Investor Sentiment and Its Application: Evidence from Chinese Stock Message Board

Chuangxia Huang, Shigang Wen, Xin Yang, Jinde Cao and Xiaoguang Yang

Emerging Markets Finance and Trade, 2022, vol. 58, issue 3, 681-691

Abstract: This paper investigates individual investor sentiment in Chinese stock message board Guba Eastmoney and its relation to the market returns and volatility. Focusing on measuring the sentiment, we propose a novel algorithm Semantic Orientation from Laplace Smoothed Normalized Pointwise Mutual Information(SO-LNPMI). We show that: (i) comparing to traditional methods, SO-LNPMI has higher accuracy and better adaptive property of probability estimate; (ii) negative sentiment is negatively correlated with market returns, whereas positive sentiment does not have any statistically significant impact on market returns; (iii) positive(negative) sentiment is negatively(positively) correlated with market volatility. Our results survive a range of robustness tests.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/1540496X.2020.1835637 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mes:emfitr:v:58:y:2022:i:3:p:681-691

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20

DOI: 10.1080/1540496X.2020.1835637

Access Statistics for this article

More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-19
Handle: RePEc:mes:emfitr:v:58:y:2022:i:3:p:681-691