Research on the dynamic evolution and its influencing factors of stock correlation network in the Chinese new energy market

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.

Automated summary

This paper constructs a stock correlation network model in the Chinese new energy market and investigates its dynamic evolution and influencing factors. The findings suggest that the network exhibits small world feature, and the network entropy effectively captures the change direction of network structure and describes market volatility. Moreover, the ranking of network centrality in the new energy market is primarily influenced by internal characteristic variables of new energy enterprises.