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DCC-GARCH (Dynamic Conditional Correlation)×Exponential GARCH (EGARCH)×
FagområdeFinansieringØkonometri
FamilieRegression modelRegression model
Oprindelsesår20021991
OphavspersonRobert F. EngleNelson
TypeMultivariate volatility modelConditional volatility model (asymmetric GARCH variant)
Oprindelig kildeEngle, 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 ↗
Aliasserdynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyonexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Relaterede54
ResuméDCC-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.
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ScholarGateSammenlign metoder: DCC-GARCH · EGARCH. Hentet 2026-06-17 fra https://scholargate.app/da/compare