ScholarGate
Assistent

Jämför metoder

Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.

Ruinteori×Extremvärdesteori (EVT)×
ÄmnesområdeFörsäkringsmatematikFinansiell ekonomi
FamiljRegression modelRegression model
Ursprungsår20102001
UpphovspersonFilip Lundberg; Harald CramérColes (textbook treatment); McNeil, Frey & Embrechts
TypStochastic risk process modelTail / extreme-event model
UrsprungskällaAsmussen, S., & Albrecher, H. (2010). Ruin Probabilities (2nd ed.). World Scientific. ISBN: 978-981-4282-52-9Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values. Springer. ISBN: 978-1852334598
AliasCollective Risk Theory, Cramér-Lundberg Theory, Probability of Ruin Analysis, Hasar Süreci Çöküş TeorisiEVT, generalized extreme value, generalized Pareto distribution, peaks over threshold
Närliggande35
SammanfattningRuin 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.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.
ScholarGateDatamängd
  1. v1
  2. 1 Källor
  3. PUBLISHED
  1. v1
  2. 2 Källor
  3. PUBLISHED

Gå till sökningen Ladda ner bildspel

ScholarGateJämför metoder: Ruin Theory · Extreme Value Theory. Hämtad 2026-06-19 från https://scholargate.app/sv/compare