Construction of Investment Strategy in
Chinese Stock Market under the Impact of the Pandemic：


	Based on the Perspective of Complex Network

Abstract

Abstract: The COVID-19 has brought a negative impact on China's stock market. Taking 300 constituent stocks of Shanghai and Shenzhen as observation samples， this paper analyzes the volatility of China's stock market under the impact of the pandemic from the perspective of complex network. Based on the Euclidean distance of stock correlation coefficient vector and the community division of stock correlation network， an investment strategy is proposed. The effectiveness of the strategy is analyzed through comparative experiments. It is found that there is a time lag in the transmission of the impact of COVID-19 in the stock market. Choosing stocks in different communities from stocks with small Euclidean distance can effectively spread the risk. The investment portfolio made under the guidance of this investment strategy will achieve better investment results in the next year， providing a reference for investors' investment management.

Key words: COVID-19, complex network, Euclidean distance, investment portfolio

CLC Number:

F832.5

Hong Zhenmu, Zhao Jie.

Construction of Investment Strategy in Chinese Stock Market under the Impact of the Pandemic：

Based on the Perspective of Complex Network [J]. Journal of Dali University, 2022, 7(12): 65-70.

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Construction of Investment Strategy in Chinese Stock Market under the Impact of the Pandemic：
Based on the Perspective of Complex Network

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