The Dynamic Relationship between Macroeconomy and Stock Market in China: Evidence from Bayesian Network. (16th December 2021)
- Record Type:
- Journal Article
- Title:
- The Dynamic Relationship between Macroeconomy and Stock Market in China: Evidence from Bayesian Network. (16th December 2021)
- Main Title:
- The Dynamic Relationship between Macroeconomy and Stock Market in China: Evidence from Bayesian Network
- Authors:
- Liu, Yue
Feng, Haoyuan
Guo, Kun - Other Names:
- Gubareva Mariya Academic Editor.
- Abstract:
- Abstract : As the most important component of the capital market, the stock market has always been regarded as the "barometer" of the macroeconomy. However, many researchers have found that the stock market and macroeconomy are operating separately. This paper uses the dynamic Bayesian network method to study the dynamic relationship between the Chinese macroeconomic system and the stock market. The study found that the correlation between the macroeconomic system and the stock market is not consistent in different time periods. For most of the time, the stock system and the macroeconomic system are relatively independent. However, several macroeconomic factors such as Purchase Management Index could affect the stock market through some industries. A conclusion is drawn that the "barometer" function of the stock market is weak and easy to be damaged by factors such as the irrational sentiment of investors.
- Is Part Of:
- Complexity. Volume 2021(2021)
- Journal:
- Complexity
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-12-16
- Subjects:
- Chaotic behavior in systems -- Periodicals
Complexity (Philosophy) -- Periodicals
003 - Journal URLs:
- https://onlinelibrary.wiley.com/journal/10990526 ↗
http://onlinelibrary.wiley.com/ ↗
https://www.hindawi.com/journals/complexity/ ↗ - DOI:
- 10.1155/2021/2574267 ↗
- Languages:
- English
- ISSNs:
- 1076-2787
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3364.585500
British Library HMNTS - ELD Digital store - Ingest File:
- 20537.xml