A Case Study On Solvency Risk Management Of Sunshine Agricultural Mutual Insurance Company

Agricultural mutual insurance refers to an insurance model that introduces mutual insurance into agricultural insurance.Mutual system,that is,the entity with the same insurance demand,enters into an insurance contract to become a member,and the risk sharing mode among members is shared.Agricultural insurance has a wide range of risks,high costs,and large amounts of compensation.It combines mutual system with agricultural insurance to make up for some of the defects of agricultural insurance and enrich the main body of agricultural insurance.The first agricultural mutual insurance company in China,Sunshine Agricultural Mutual Insurance Company,officially opened on January 11,2005.Sunshine Agricultural Mutual Insurance Company has opened up a special business operation and operation mode,striving for stable operation and coordinated development,enriching the supply subject of policy agricultural insurance in China,and bringing new development directions for solving the "three rural issues" in China.In 2016,three mutual insurance agencies were established in China,and the term mutual insurance has become a hot spot in insurance research.On the one hand,agricultural mutual insurance combines agricultural insurance with mutual system for production and management,which is of great significance for the innovative research of the insurance system.Combining the two characteristics to study the company's solvency risk management will help deepen the company's understanding of its solvency,thus ensuring the company's normal operation and steady development.On the other hand,a lot of research on agricultural mutual insurance is focused on the applicability,advantages and disadvantages of China's mutual insurance,and the research on the daily management of agricultural mutual insurance,especially the solvency risk management.It is simply a measure of risk.The article is oriented as a problem,with the current domestic mutual insurance company,Sunshine Agricultural Mutual Insurance Company as the research object,introducing the solvency of the company from the limitation of the operation of the mutual insurance company and the particularity of the business model.Then,it analyzes the status quo and existing problems of solvency risk management,identifies the solvency risk of the company,and uses the gray correlation model to rank the factors affecting solvency risk.On the basis of the above analysis,the investment rate of return with the least impact is removed,and a gray neural network early warning model is established for the Sunshine Agriculture Mutual Insurance Company with the residual factor as the index system.Empirical research shows that the model can accurately predict the company's solvency risk.Finally,through the analysis of the full text,some suggestions for improving the solvency of Sunshine Agriculture mutual insurance companies are proposed.I hope that on the basis of this research,I will provide some new ideas for the research on solvency risk management of mutual insurance organizations.