Research on the dynamic evolution and its influencing factors of stock correlation network in the Chinese new energy market
Wei Liu,
Qianting Ma and
Xiaoxing Liu
Finance Research Letters, 2022, vol. 45, issue C
Abstract:
Based on the correlation of stock price volatility, this paper constructs a stock correlation network model in the Chinese new energy market, focusing on the dynamic evolution of the stock correlation network and its influencing factors. The results show that: (i) the stock correlation network displays the small world feature in the dynamic evolution process. (ii) the network entropy effectively depicts the change direction of network structure and describes the new energy market volatility. (iii) the network centrality ranking in the new energy market is mainly affected by new energy enterprises’ internal characteristic variables.
Keywords: New energy market; Stock correlation network; Dynamic evolution; Network entropy (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612321002191
Full text for ScienceDirect subscribers only
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:eee:finlet:v:45:y:2022:i:c:s1544612321002191
DOI: 10.1016/j.frl.2021.102138
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().