Extreme Return, Extreme Volatility and Investor Sentiment

被引:8
|
作者
Gong, Xu [1 ,2 ,3 ]
Wen, Fenghua [1 ]
He, Zhifang [1 ]
Yang, Jia [4 ]
Yang, Xiaoguang [5 ]
Pan, Bin [6 ]
机构
[1] Cent S Univ, Business Sch, Changsha 410081, Hunan, Peoples R China
[2] Xiamen Univ, China Inst Studies Energy Policy, Collaborat Innovat Ctr Energy Econ & Energy Polic, Xiamen 361005, Peoples R China
[3] Xiamen Univ, Sch Econ, Xiamen 361005, Peoples R China
[4] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha 410114, Hunan, Peoples R China
[5] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
[6] Wenzhou Univ, Financial Res Inst, Wenzhou 325035, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Extreme return; Extreme volatility; Investor sentiment; Quantile regression; STOCK RETURNS; ESTIMATORS; VARIANCE; MODELS; MARKET;
D O I
10.2298/FIL1615949G
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The extreme return and extreme volatility have great influences on the investor sentiment in stock market. However, few researchers have taken the phenomenon into consideration. In this paper, we first distinguish the extreme situations from non-extreme situations. Then we use the ordinary generalized least squares and quantile regression methods to estimate a linear regression model by applying the standardized AAII, the return and volatility of SP 500. The results indicate that, except for extremely negative return, other return sequences can cause great changes in investor sentiment, and non-extreme return plays a leading role in affecting the overall American investor sentiment. Extremely positive (negative) return can rapidly improve (further reduce) the level of investor sentiment when investors encounter extremely pessimistic situations. The impact gradually decreases with improvement of the sentiment until the situation turns optimistic. In addition, we find that extreme and non-extreme volatility cannot affect the overall investor sentiment.
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页码:3949 / 3961
页数:13
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