兩類延遲更新風(fēng)險模型破產(chǎn)概率及其漸近解研究
[Abstract]:The core problem of risk theory research is the bankruptcy probability of insurance companies, because the heavy-tailed distribution can be used to depict the extreme events in the financial and insurance industry. Therefore, the research on the distribution of claim amount from heavy tail has become a hot topic in the field of actuarial insurance in recent years. In this paper, we study the ruin probability of two kinds of delayed renewal risk models when the claim amount is distributed from heavy tail under the condition of constant interest force. There are four chapters in this paper. The first chapter mainly introduces the research background and main work content of this paper. In the second chapter, we introduce the classical Poisson risk model and its ruin probability, and then introduce the concept of heavy-tailed distribution, including several important heavy-tailed distribution subfamilies and their relations. In Chapter 3, we replace the independent claim amount with negative dependent claim amount, and under the delayed update risk model, We obtain the uniformly asymptotic expression of the final ruin probability of the claim amount from the ERV family. In Chapter 4 we discuss a new risk model, that is, the delayed composite update model. It assumes that insurance companies need more than one customer to claim at the same time, a model that is clearly more realistic. Under this model, we obtain the uniformly progressive expression of ruin probability for the subexponential distribution of the claim amount.
【學(xué)位授予單位】:暨南大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2013
【分類號】:F840.3;F224;O211.67
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