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دی‌سی‌سی-گارچ (همبستگی شرطی پویا)×مدل نمایی GARCH (EGARCH)×
حوزهمالیاقتصادسنجی
خانوادهRegression modelRegression model
سال پیدایش20021991
پدیدآورRobert F. EngleNelson
نوعMultivariate volatility modelConditional volatility model (asymmetric GARCH variant)
منبع بنیادینEngle, 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 ↗
نام‌های دیگرdynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu Korelasyonexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
مرتبط54
خلاصهDCC-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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  1. v1
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  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: DCC-GARCH · EGARCH. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare