The Impact of Epidemic on Shanghai Stock Exchange Industry Based on Complex Networks
LIU Jiangang, CHEN Luxia
a. School of Science; b. Hunan Key Laboratory of Hunan Province for Statistical Learning and Intelligent Computation Hunan University of Technology and Business, Changsha 410205, China
Abstract：In order to explore the impact of the Covid-19 epidemic on China's stock market, the Granger causality test is used to construct a complex network model of three stages before the outbreak, the outbreak period and the normalized control of the epidemic. The comparative analysis is made from the network topology, survivability and node importance. It is found that the impact of the epidemic has significantly changed the structural relationship of the Shanghai Stock Exchange industry sectors, and the linkage effect between industry indices has weakened; the network attack simulation experiment shows that in the face of more destructive deliberate attacks, the third stage has a more durable resistance, followed by the first, second-stage network. Before and after the epidemic, the ranking of the importance of industry stocks has changed significantly. The electronics, social services, comprehensive and commercial retail industries have gradually taken an important position in the stock market; the computer, household appliances and communication industries have become important control nodes for information transmission efficiency in the stock market network. During the attack of the epidemic, the positive impact of medical biology was obvious, and it became a buffer for risk contagion in the market.
刘建刚, 陈芦霞. 基于复杂网络的疫情冲击对上证行业影响分析[J]. 复杂系统与复杂性科学, 2024, 21(1): 43-50.
LIU Jiangang, CHEN Luxia. The Impact of Epidemic on Shanghai Stock Exchange Industry Based on Complex Networks[J]. Complex Systems and Complexity Science, 2024, 21(1): 43-50.
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