Research on the Stock Correlation Network and Its Influencing Factors in
China's Green Finance Market
Abstract
Green finance is a significant step to achieving environmentally
sustainable development in the context of carbon neutrality. Based on
the perspective of the stock correlation network, we select 51 green and
environmental protection enterprises and construct the stock correlation
network model in China’s green financial market according to the
correlation of their stock price fluctuations. On this basis, it
discusses its network topologies and its dynamic evolution
characteristics. After that, it deeply studies its impact mechanism of
systemically importance in China’s green financial market and introduces
the major green financial policies for comparative analysis. In the
light of empirical research, we can obtain the following results. First,
the stock size distribution in China’s green financial market has a
power-law tail. Second, a sharp drop in the market index will increase
the aggregation of the stock correlation network in the green financial
market. Third, the variables about corporate social responsibility,
corporate R&D investment intensity, and corporate green innovation
output play significant roles in promoting the individual companies’
systemically importance ranking in the stock correlation networks of
China’s green financial market. Fourth, the implementation of major
green financial policies has promoted the improvement of the systematic
importance of state-owned enterprises. Finally, the research enriches
the application research of complex network theory in the green
financial market and provides practical guidance for regulators to
strengthen the risk monitoring of the green financial market.