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BEKK-GARCH: Modelovanje multivarijatne uslovne volatilnosti×DCC-GARCH (Динамична условна корелација)×
OblastEkonometrijaFinansije
PorodicaRegression modelRegression model
Godina nastanka19952002
TvoracRobert Engle & Kenneth KronerRobert F. Engle
TipMultivariate conditional volatility modelMultivariate volatility model
Temeljni izvorEngle, R. F., & Kroner, K. F. (1995). Multivariate simultaneous generalized ARCH. Econometric Theory, 11(1), 122–150. DOI ↗Engle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate GARCH Models. Journal of Business & Economic Statistics, 20(3), 339-350. DOI ↗
Drugi naziviBEKK Model, Baba-Engle-Kraft-Kroner GARCH, Multivariate BEKK, BEKK-ÇARCH Modelidynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyon
Srodne35
SažetakBEKK-GARCH, proposed by Engle and Kroner (1995), is a multivariate GARCH specification that models the time-varying conditional covariance matrix of a system of financial return series. Named after Baba, Engle, Kraft, and Kroner, it is the dominant framework for quantifying volatility spillovers and dynamic correlations across multiple assets or markets simultaneously, widely adopted by financial economists and risk managers since the mid-1990s.DCC-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.
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ScholarGateUporedite metode: BEKK-GARCH · DCC-GARCH. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare