Construction and Empirical Study of life insurance prediction model in sinking market based on factor analysis

Abstract:
By analyzing the overall development of life insurance in the sinking market, combined with the data of 19 years in various regions, using factor analysis and least square method, this paper selects GDP, total retail sales of social consumer goods, total deposits of financial institutions, general public budget income, total loans of financial institutions, disposable income of permanent residents There are nine influencing factors of general public budget expenditure as factors. SPSS software is used to analyze and find out the main factors affecting the life insurance in the sinking market. At the same time, the relevant data of life insurance premium income in Tibet and other regions in recent years are collected, and the least square method is used to predict the development of life insurance in this region, so as to put forward reasonable suggestions for the development of insurance in the sinking market.