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DCC-GARCH (Динамична условна корелација)×Eksponencijalni GARCH (EGARCH)×
OblastFinansijeEkonometrija
PorodicaRegression modelRegression model
Godina nastanka20021991
TvoracRobert F. EngleNelson
TipMultivariate volatility modelConditional volatility model (asymmetric GARCH variant)
Temeljni izvorEngle, 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 ↗
Drugi nazividynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyonexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Srodne54
SažetakDCC-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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ScholarGateUporedite metode: DCC-GARCH · EGARCH. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare