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Non-life actuarial study based on extreme value theory
Author: ZhaoZhiHong
Tutor: LiXingXu
School: Yunnan University of Finance
Course: Statistics
Keywords: Extreme Value Theory Generalized Pareto distribution Domain of attraction Inspection Value at Risk Expected loss pure premium
CLC: F840
Type: Master's thesis
Year: 2009
Downloads: 177
Quote: 1
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Abstract
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In this paper, a detailed study of the traditional non-life actuarial method based on the main use of the good properties of the extreme value theory , that the the POT model in the extreme value theory only consider the distribution tail , instead of modeling the entire distribution , which avoid the distribution of the hypothetical problems , loss distribution modeling is very favorable . And extreme value theory can accurately describe the distribution tail quantiles , which helps the non- life insurance companies risk management . In addition, on this basis , the compound Poisson process and extreme value theory generalized Pareto model to study the problem of the non-life reinsurance . In general , the main purpose of this paper is to establish the entire non- life insurance actuarial framework based on extreme value theory , enabling the accurate portrayal of the loss distribution of the right tail of the distribution of the huge losses , and a non- life insurance actuarial basis . Extreme Value Theory strict generalized Pareto distribution in the modeling process , discusses the modeling process , including the thick tail diagnosis , extreme value distribution maximum domain of attraction of inspection, the optimal choice of the threshold , generalized Pa the rectories distribution parameter estimation and model fitting effect inspection , and discuss different threshold selection method and parameter estimation methods , including maximum likelihood estimation Hill semiparametric estimates , the moment estimation method and the use of non- parametric test methods to test the model . After completing the modeling , the problem of non - life insurance actuarial build generalized Pareto distribution basis , and take advantage of short-term the aggregation risk models and compound Poisson distribution to calculate risk -bit pure excess of loss reinsurance premiums .
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CLC: > Economic > Fiscal, monetary > Insurance > Insurance Theory
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