ScholarGate
Avustaja

Vertaile menetelmiä

Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.

DCC-GARCH (Dynamic Conditional Correlation)×Eksponentiaalinen GARCH (EGARCH)×Äärimmäisten arvojen teoria (EVT)×
TieteenalaRahoitusEkonometriaRahoitus
MenetelmäperheRegression modelRegression modelRegression model
Syntyvuosi200219912001
KehittäjäRobert F. EngleNelsonColes (textbook treatment); McNeil, Frey & Embrechts
TyyppiMultivariate volatility modelConditional volatility model (asymmetric GARCH variant)Tail / extreme-event model
AlkuperäislähdeEngle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate GARCH Models. Journal of Business & Economic Statistics, 20(3), 339-350. DOI ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗Coles, S. (2001). An Introduction to Statistical Modeling of Extreme Values. Springer. ISBN: 978-1852334598
Rinnakkaisnimetdynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyonexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCHEVT, generalized extreme value, generalized Pareto distribution, peaks over threshold
Liittyvät545
TiivistelmäDCC-GARCH is Engle's (2002) multivariate volatility model that lets the correlations between several assets change over time. A separate univariate GARCH model is fitted to each series, and then the dynamic correlation matrix is estimated in a second, separate step.EGARCH is an asymmetric GARCH variant, introduced by Nelson in 1991, that models the leverage effect in which bad news raises volatility more than good news of the same size. It captures the negative-shock asymmetry of financial return series by modelling the logarithm of the conditional variance.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.
ScholarGateAineisto
  1. v1
  2. 2 Lähteet
  3. PUBLISHED
  1. v1
  2. 2 Lähteet
  3. PUBLISHED
  1. v1
  2. 2 Lähteet
  3. PUBLISHED

Siirry hakuun Lataa diat

ScholarGateVertaile menetelmiä: DCC-GARCH · EGARCH · Extreme Value Theory. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare