The Nonlinear Relationship between Investor Sentiment, Stock Return, and Volatility

Joint Authors

Zhu, Shuzhen
He, Gang
Gu, Haifeng

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-03-22

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Mathematics

Abstract EN

Based on the DSSW model, we analyze the nonlinear impact mechanism of investor sentiment on stock return and volatility by adjusting its hypothesis in Chinese stock market.

We examine the relationship between investor sentiment, stock return, and volatility by applying OLS regression and quantile regression.

Our empirical results show that the effects of investor sentiment on stock market return are asymmetric.

There is “Freedman effect” in Chinese stock market, but only optimistic sentiment has a significant nonlinear impact on stock market returns when the stock market is a balanced market or a bear market.

Meanwhile, “create the space effect” does exist in Chinese stock market too.

It only exists when the market is in equilibrium, and only pessimistic sentiment has the nonlinear effect on stock market volatility.

American Psychological Association (APA)

He, Gang& Zhu, Shuzhen& Gu, Haifeng. 2020. The Nonlinear Relationship between Investor Sentiment, Stock Return, and Volatility. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1153169

Modern Language Association (MLA)

He, Gang…[et al.]. The Nonlinear Relationship between Investor Sentiment, Stock Return, and Volatility. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1153169

American Medical Association (AMA)

He, Gang& Zhu, Shuzhen& Gu, Haifeng. The Nonlinear Relationship between Investor Sentiment, Stock Return, and Volatility. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1153169

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1153169