基于复杂网络的保险集团系统重要性评估

he scale economy has driven more and more insurance companies to choose the mode of group operation. The resulting cross-cutting transactions and equity cross-cutting have caused the systemic risks of the insurance industry to rise sharply. The evaluation and supervision referring to systemically important insurance groups has become an academic research hotspot and supervision focus. This study attempts to use the social network analysis method to optimize the complex network model of the insurance market based on the five industries of insurance, banking, securities, trust, and real estate, and to use the node-centricity models to evaluate the systemic importance of 11 insurance groups. The study found that the top three scores are Ping An Group, PICC Group and China Life Group, and the three insurance groups are far ahead of the lower ranked companies, indicating their strength and systemic importance. It is recommended that the supervisory authority should take necessary measures as soon as possible to maintain the continued stability of the insurance industry.