EconPapers    
Economics at your fingertips  
 

The Impact of COVID-19 on China’s Capital Market and Major Industry Sectors

Weijia Xu (), Aihua Li () and Lu Wei
Additional contact information
Weijia Xu: Central University of Finance and Economics
Aihua Li: Central University of Finance and Economics
Lu Wei: Central University of Finance and Economics

Annals of Data Science, 2022, vol. 9, issue 5, No 6, 983-1007

Abstract: Abstract This paper studies the impact of COVID-19 on China’s capital market and major industry sectors via an improved ICSS algorithm, a time series model with exogenous variables and nonparametric conditional probability estimation. Through the empirical analysis of the stock market, the bond market and different industry sectors, it is found that the pandemic has had no significant impact on the return of the stock and bond markets; however, it has increased market volatility. There are significant differences in the significance, direction and duration of the impact of the pandemic in different sectors. In addition, the impacts of COVID-19 have been gradual in some industries but rapid in others. Different industries show different sensitivities in their response to COVID-19. Based on the impact analysis, this paper proposes corresponding suggestions for investment strategies and macrocontrol decisions.

Keywords: COVID-19; Capital market; Industry sector index; Nonparametric conditional probability estimation (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40745-022-00374-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:aodasc:v:9:y:2022:i:5:d:10.1007_s40745-022-00374-z

Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745

DOI: 10.1007/s40745-022-00374-z

Access Statistics for this article

Annals of Data Science is currently edited by Yong Shi

More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:aodasc:v:9:y:2022:i:5:d:10.1007_s40745-022-00374-z