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مدل‌سازی نوسانات شرطی چندمتغیره BEKK-GARCH×دی‌سی‌سی-گارچ (همبستگی شرطی پویا)×
حوزهاقتصادسنجیمالی
خانوادهRegression modelRegression model
سال پیدایش19952002
پدیدآورRobert Engle & Kenneth KronerRobert F. Engle
نوعMultivariate conditional volatility modelMultivariate volatility model
منبع بنیادینEngle, 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 ↗
نام‌های دیگرBEKK Model, Baba-Engle-Kraft-Kroner GARCH, Multivariate BEKK, BEKK-ÇARCH Modelidynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyon
مرتبط35
خلاصهBEKK-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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ScholarGateمقایسهٔ روش‌ها: BEKK-GARCH · DCC-GARCH. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare