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نظریه مقادیر حدی (EVT)×ارزش در معرض ریسک (VaR)×
حوزهمالیمالی
خانوادهRegression modelRegression model
سال پیدایش20012007
پدیدآورColes (textbook treatment); McNeil, Frey & EmbrechtsJorion (textbook benchmark); popularised by RiskMetrics / J.P. Morgan
نوعTail / extreme-event modelFinancial risk measure
منبع بنیادینColes, S. (2001). An Introduction to Statistical Modeling of Extreme Values. Springer. ISBN: 978-1852334598Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk (3rd ed.). McGraw-Hill. ISBN: 978-0071464956
نام‌های دیگرEVT, generalized extreme value, generalized Pareto distribution, peaks over thresholdVaR, value-at-risk, delta-normal VaR, historical simulation VaR
مرتبط55
خلاصهExtreme 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.Value at Risk is a financial risk measure that estimates the maximum loss a position or portfolio could suffer over a fixed holding period at a given confidence level. It is the standard benchmark in risk management and regulatory capital calculations, developed in the textbook tradition of Jorion (2007) and the Basel market-risk framework.
ScholarGateمجموعه‌داده
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  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Extreme Value Theory · Value at Risk. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare