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.
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