Investor Sentiment and Stock Returns During the COVID-19 Pandemic.

Baozhen Jiang, Haojie Zhu, Jinhua Zhang, Cheng Yan, Rui Shen
Author Information
  1. Baozhen Jiang: School of Economics, Zhejiang University of Technology, Zhejiang, China.
  2. Haojie Zhu: School of Applied Science and Technology, Hainan University, Haikou, China.
  3. Jinhua Zhang: School of Economics, Zhejiang University of Technology, Zhejiang, China.
  4. Cheng Yan: School of Economics, Zhejiang University of Technology, Zhejiang, China.
  5. Rui Shen: School of Economics, Zhejiang University of Technology, Zhejiang, China.

Abstract

In this paper, we regard the Baidu index as an indicator of investors' attention to China's epidemic stocks. We believe that when seeking information to guide investment decisions, investor sentiment is usually affected by the information provided by the Baidu search engine, which may cause stock prices to fluctuate. Therefore, we constructed a GARCH extended model including the Baidu index to predict the return of epidemic stocks and compared it with the benchmark model. The empirical research in this paper finds that the forecast model including the Baidu index is significantly better than the benchmark model. This has important reference value both for investors in predicting stock trends and for the government's formulation of policies to prevent excessive stock market volatility.

Keywords

References

  1. Philos Trans A Math Phys Eng Sci. 2010 Dec 28;368(1933):5707-19 [PMID: 21078644]
  2. Front Public Health. 2020 Dec 09;8:611325 [PMID: 33363099]
  3. Environ Sci Pollut Res Int. 2021 Jul;28(26):33771-33780 [PMID: 33394412]
  4. Financ Res Lett. 2021 Jan 26;:101945 [PMID: 33519309]

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