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DCC-GARCH (Dynamic Conditional Correlation)×Panel Data Fixed Effects Model×
FagområdeFinansieringØkonometri
FamilieRegression modelRegression model
Oprindelsesår20022014
OphavspersonRobert F. EngleHsiao (textbook treatment); within transformation of panel data
TypeMultivariate volatility modelPanel data regression
Oprindelig kildeEngle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate GARCH Models. Journal of Business & Economic Statistics, 20(3), 339-350. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Aliasserdynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyonfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Relaterede55
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.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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ScholarGateSammenlign metoder: DCC-GARCH · Panel Fixed Effects. Hentet 2026-06-19 fra https://scholargate.app/da/compare