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极值理论 (EVT)×破产论×
领域金融学精算学
方法族Regression modelRegression model
起源年份20012010
提出者Coles (textbook treatment); McNeil, Frey & EmbrechtsFilip Lundberg; Harald Cramér
类型Tail / extreme-event modelStochastic risk process model
开创性文献Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values. Springer. ISBN: 978-1852334598Asmussen, S., & Albrecher, H. (2010). Ruin Probabilities (2nd ed.). World Scientific. ISBN: 978-981-4282-52-9
别名EVT, generalized extreme value, generalized Pareto distribution, peaks over thresholdCollective Risk Theory, Cramér-Lundberg Theory, Probability of Ruin Analysis, Hasar Süreci Çöküş Teorisi
相关53
摘要Extreme Value Theory is a statistical framework for modelling the rare events that live in the tail of a probability distribution. As developed in Coles (2001) and applied to risk by McNeil, Frey & Embrechts (2005), it offers two standard routes: the Generalized Extreme Value (GEV) distribution for block maxima and the Generalized Pareto Distribution (GPD), used in the peaks-over-threshold approach, for exceedances above a high threshold.Ruin Theory models the stochastic surplus process of an insurance company to quantify the probability that accumulated losses eventually exceed available capital. Introduced by Filip Lundberg in his 1903 doctoral thesis and rigorously unified by Harald Cramér in 1930, the classical Cramér-Lundberg model assumes premiums arrive at a constant rate, claims follow a compound Poisson process, and individual claim sizes are independent and identically distributed. It remains the foundational framework of collective risk theory in actuarial science.
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ScholarGate方法对比: Extreme Value Theory · Ruin Theory. 于 2026-06-20 检索自 https://scholargate.app/zh/compare