The Research On Rating Indicator System Of Life Insurance Company In Our Country

Currently, at the time of fast development in our insurance industry, there are some outstanding contradictions and problems:expansion of the extensive-run, insurance fraud and irregularities, poor self-regulation, backward technology in insurance regulation, information asymmetry. Lacking credit of insurers have become the bottlenecks of restricting our insurance industry development. Insurance credit rating is an effective way to resolve the problem about our insurer's credit lacking.From the reputation theory, asymmetric information theory and integrated risk management, this thesis have a theoretical exploration on credit rating of China's insurance companies, and believe that the credit rating of the insurance company is concrete application of reputation theory in the insurance industry. Asymmetric information leads to a serious market failure of the Chinese insurance industry. Institutional arrangements of credit rating information can correct asymmetric distribution state between the insurer and the insured and achieve Pareto improvement of insurance transactions. Integrated risk management has become a new trend of enterprise management in the 21st century. Establishment of the insurance credit rating index system in our country should also conform to changes of domestic and international environment, build a credit rating indexes system on the basis of integrated risk management and solvency of insurance company.After theoretic exploration, the thesis designs credit rating index system based on ERM in life insurance companies. Under the principles of comprehensive, drawing on international experience, basis on China's national conditions and supporting, design 10-level indicators, including five qualitative indicators of external environment, internal environment, internal control, the development of vision, operating compliance and five quantitative indicators of size and power, investment profitability, growth, risk management, underwriting capacity. Then, design 41 secondary index and analysis applicability of the index. In the case study for a life insurer, index weights are determined by AHP, and credit rating of the life insurance companies is assessed by the fuzzy comprehensive evaluation method.