Global System Importance Insurance Agency(G-SIIs) Identification Research

G-SIIs refers to the certain region,there is a general correlation among asset size,complex business,and other financial institutions.Once such institutions operating fall into difficulties or closure,the stability of the financial environment and the stability of real economy in the area will be subject to its enormous risk spillover effects systemically important institutions.So the G SIIs in the stability of the financial system has the important function,can be called a "stabilizer" of the global insurance industry.Importance to our country insurance agency system identification is helpful to enhance the robustness of the entire national economy security.This article to study the question is:refer to the international association of insurance commissioners and other international regulatory agencies for systemically important insurance agencies related evaluation methods and regulations,the importance of the evaluating system for PING AN INSURANCE(GROUP)COMPANY OF CHINA,and puts forward suggestions on insurance regulation.This paper consists of six parts.The first part is the introduction,introducing the selected topic background and research significance of this article.The second part from the two aspects of evaluation methods and regulatory policies introduces the domestic and foreign scholars and financial organization of the research achievements of systemically important financial institutions,and the relevant concepts are defined.The third part is case study,first of all,according to the global insurance industry supervision association of G-SIIs evaluation methods.combined with the operation status quo of China's insurance institution,set up system suitable for China insurance institutions of comprehensive selection index system and the importance of the sample(7 big insurance group)order was importance evaluation system.By observing the result can get system importance of China ping an insurance group scored 0.5186,much higher than other six insurance agency.System clustering analysis is then used to classify insurance institutions,it is concluded that PingAn Group and China Life belongs to the first category.By classifying the importance of systemic importance insurance institutions,Chinese insurance supervision institutions for Chinese insurance agencies can be the difference between supervision and management to provide the corresponding reference.Business analysis,the fourth part is the system risk sources of China ping an insurance group of cross-shareholdings and investment business is analyzed,and the risks in the group.The fifth chapter is based on G-released by the international association of insurance commissioners SIIs evaluation methods and relevant policy framework,assessment system is important for China insurance institutions method in the analysis of existing problems,and puts forward a part of the assessment methods need to be improved and regulatory policy advice,point out that our country not only need to establish a comprehensive index system,also should study index method can assist marketing in order to accurately identify the system of our country scientific significance insurance agency,completes the system importance insurance institutions of control measures.Circ regulatory shall strengthen supervision measures,for the insurance company's information disclosure and effective disposal aspects put forward higher requirements,and the importance of system insurance institutions make clear requirements,in view of the importance of classification of different insurance companies to implement difference regulation.The sixth divided into conclusion part,the research for this article conclusion in theory and practice,elaborates the meaning and function.Aspects of research methods by combining theory and case of systemically important regulatory issues put forward relevant proposals need to implement differentiated supervision,improve risk evaluation system and database,to establish an effective mechanism for handling a bid to reduce the risk of systemic importance of insurance agencies likelihood of occurrence.