我國(guó)保險(xiǎn)業(yè)中若干問(wèn)題的統(tǒng)計(jì)分析
[Abstract]:Since the reform and opening up, China's insurance industry has been in a state of rapid development, as an important part of social security and financial system, has an irreplaceable role. But compared with the developed countries'insurance market, China's insurance industry still has many imperfections, and China's insurance industry also exists in the regional development. There is a huge gap.
Insurance data analysis is an important application field of statistics. From the early stage of premium verification work, and then through a series of risk assessment, compensation rate calculation, to the late stage of premium income, the number of cases reported, the number of cases forecast, statistical theory runs through all the time. The application of reasonable statistical theory and methods to the statistical analysis of the relevant data in the insurance industry and the exploration of the law of the development of the insurance industry are of great significance to the healthy development of China's insurance industry.
In this paper, two specific problems in China's insurance industry are explored and studied by using the theory and method of statistics. Specifically, on the one hand, we have studied a kind of macro-unbalanced development of China's insurance market in the region, using three indicators of premium income, insurance density and insurance depth, and using clustering method to analyze China's insurance industry. The development of insurance market in 31 provinces (cities) shows that there is a big gap between insurance market and insurance demand in eastern, western and central regions, and the development is very uneven. On the other hand, we start with micro-problems and take the actual data of car insurance in recent years of Ping'an Henan Branch of China as an example to study the reports of insurance companies by using time series method. Because of the seasonal trend of the data, this paper firstly eliminates the seasonal trend of each index through the seasonal index method, and then makes a fitting and prediction. In addition, considering that the number of reported cases and the number of closed cases may have a certain correlation, this paper again communicates. Over-cointegration analysis and impulse response function further analyzed the data, proving that the number of cases closed in the previous period has a positive effect on the number of cases reported in the current period.
【學(xué)位授予單位】:華中師范大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:F842.4;F224
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