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DCC-GARCH (Dynamic Conditional Correlation)×GJR-GARCH (GARCH Asimetric)×Modelul cu Efecte Fixe pentru Date Panou×
DomeniuFinanțeEconometrieEconometrie
FamilieRegression modelRegression modelRegression model
Anul apariției200219932014
Autorul originalRobert F. EngleGlosten, Jagannathan & Runkle (1993); Zakoian (1994)Hsiao (textbook treatment); within transformation of panel data
TipMultivariate volatility modelAsymmetric conditional volatility modelPanel data regression
Sursa seminalăEngle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate GARCH Models. Journal of Business & Economic Statistics, 20(3), 339-350. DOI ↗Glosten, L. R., Jagannathan, R. & Runkle, D. E. (1993). On the Relation Between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of Finance, 48(5), 1779-1801. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Denumiri alternativedynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyonasymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Înrudite555
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.GJR-GARCH is a variant of the GARCH conditional-volatility model that captures the asymmetric effect of negative shocks on volatility using an indicator variable. It was introduced by Glosten, Jagannathan and Runkle (1993), with a closely related threshold formulation by Zakoian (1994).The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
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ScholarGateCompară metode: DCC-GARCH · GJR-GARCH · Panel Fixed Effects. Preluat la 2026-06-19 de pe https://scholargate.app/ro/compare