Research On The Financial Crisis And Financial Early Warning Mechanism Of Property Insurance Companies In My Country

Since the domestic insurance business returned in 1980,China's insurance industry has experienced rapid development for more than 40 years.In 2017,China's insurance industry realized 3.66 trillion yuan in insurance premiums,an increase of18.16% over the same period of last year.Premiums ranked third in Asia and third in the world;insurance companies' total assets reached 16.75 trillion yuan(a year-on-year increase of 10.80%),and net assets reached 188,505 million.Yuan(an increase of 9.31% from the beginning of the year).After nearly 50 years of rapid development,China's insurance industry has almost inevitably accumulated many ills.These ills have become more prominent in the 2008 financial crisis.Due to the obvious differences in risks faced by life insurers and property insurers,limited by research time and individual capabilities,this article only studies the construction of risk early warning mechanisms of property insurance companies in China,with a view to establishing and improving the risk early warning mechanism for property insurance companies in China.Some contributions.This article sorts out related literature at home and abroad from the two perspectives of mathematical statistics and non-mathematical statistics.And summed up the relevant literature on the early warning mechanism for financial crisis of insurance companies.Explain the theory of financial crisis of property insurance companies,the connotation,characteristics,causes of financial crisis of property insurance companies,the functions of financial crisis warning mechanisms,and the construction and application of risk early warning mechanisms for property insurance companies.This article takes five large-scale property insurance companies in Yunnan Province as an example to establish a Z-value model and verify the rationality of the Z-value model through solvency adequacy ratio,asset-liability ratio and health index.The model can better predict the financial status of the property insurance company.Finally,it puts forward policy recommendations for the insurance company's proposed early warning mechanism.