Title
Dependence between stock returns and investor sentiment in Chinese markets: A copula approach.
Abstract
Using data of newly opened stock trading accounts in China as a proxy of investor sentiment index, the authors employ the time-varying copula-GARCH model with Hansen's skewed Student-t innovations to investigate the dynamic dependence between investor sentiment and stock returns. The empirical findings show that shifts in investor sentiment are asymptotically positively correlated to stock returns in extreme value situations in both A shares market and B shares market in China, that is to say, stock prices will increase (decrease) more when investors become more bullish (bearish). Also, results show that the dependence between investor sentiment and stock returns is time-varying, which means that the traditional Pearson's correlation based on normal distribution is not enough to describe the relationship between stock market behavior and investor behavior.
Year
DOI
Venue
2012
10.1007/s11424-012-9332-0
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
Keywords
Field
DocType
Behavioral finance,copula,GARCH,investor sentiment,newly opened stock trading accounts
Econometrics,Mathematical optimization,Normal distribution,Copula (linguistics),Extreme value theory,Behavioral economics,Autoregressive conditional heteroskedasticity,Stock market,Stock trading,Mathematics
Journal
Volume
Issue
ISSN
25
3
1009-6124
Citations 
PageRank 
References 
1
0.40
0
Authors
6
Name
Order
Citations
PageRank
xunfa110.40
Kin Keung Lai21766203.01
Kin Keung Lai31766203.01
kin410.40
keung510.40
liang610.40