基于交替與延遲交替更新過程的隨機(jī)模糊破產(chǎn)模型研究
[Abstract]:With the integration of the world financial system and the further opening of China's financial system, China's financial industry, especially the insurance industry as a sunrise industry, is facing an unprecedented impact. Bankruptcy risk is an index of stress testing for insurance companies. Improving the accuracy of bankruptcy risk measurement is of great value to the study of actuarial problems such as risk control, premium rate determination and reserve accounting of insurance companies. In this paper, a stochastic fuzzy ruin model based on alternating and delayed alternating renewal processes is constructed by introducing random fuzzy variables, alternating renewal processes and delayed alternating renewal processes. The main work and achievements are as follows: first, the alternating update process and the delayed alternating update process in random fuzzy environment are defined. Several important theorems about alternating renewal process and delayed alternating renewal process in random fuzzy environment are obtained. When alternating renewal variable and delayed alternating renewal variable are distributed by random fuzzy exponent, The distribution function and mathematical expectation of random fuzzy alternating renewal process and random fuzzy delay alternating renewal process are studied. Secondly, when constructing a stochastic fuzzy ruin model based on alternating renewal process, a stochastic fuzzy variable is introduced. The expectation of the claim process is studied when the alternating renewal variable and the claim amount variable are distributed according to the stochastic fuzzy exponential distribution. The final ruin probability function and the mean of the ultimate ruin opportunity at the ruin time. Thirdly, when constructing the stochastic fuzzy ruin model based on the delayed alternating renewal process, the random fuzzy variables and the delayed alternating renewal process are introduced, and the general conclusion of the final ruin probability under the delayed alternating renewal process is given. When the delay variable, alternate update variable and claim amount variable are distributed from random fuzzy exponent, the expectation of the claim process, the final ruin probability function at the ruin time and the mean value of the ultimate ruin opportunity are studied. Fourthly, through model simulation and result analysis, the connotation significance and operation mechanism of the model are revealed, and the results of model simulation are compared with the actual situation of insurance company, and the scientific and practical nature of the model is verified. And put forward constructive policy suggestions. From the structure of the model and the simulation results, it can be seen that the alternating renewal process and the delayed alternating renewal process are consistent with the insurance company's indemnity process both from the practical significance and from the theoretical point of view. The ruin model is studied by defining them in random fuzzy environment, which makes the model more innovative and forward-looking.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:F224;F840.3
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