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Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.

DCC-GARCH (Dynamic Conditional Correlation)×GARCH Exponențial (EGARCH)×Teoria Valorilor Extreme (EVT)×
DomeniuFinanțeEconometrieFinanțe
FamilieRegression modelRegression modelRegression model
Anul apariției200219912001
Autorul originalRobert F. EngleNelsonColes (textbook treatment); McNeil, Frey & Embrechts
TipMultivariate volatility modelConditional volatility model (asymmetric GARCH variant)Tail / extreme-event model
Sursa seminalăEngle, 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
Denumiri alternativedynamic 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
Înrudite545
RezumatDCC-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.
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ScholarGateCompară metode: DCC-GARCH · EGARCH · Extreme Value Theory. Preluat la 2026-06-19 de pe https://scholargate.app/ro/compare