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نموذج ARCH القوي×نموذج EGARCH (نموذج التباين الشرطي المتغير الأسي)×
المجالالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة2002–20081991
صاحب الطريقةEngle (1982) for ARCH; robust variants developed by Muler, Yohai, and others from the early 2000sDaniel B. Nelson
النوعVolatility / conditional heteroscedasticity modelVolatility / conditional variance model
المصدر التأسيسيEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
الأسماء البديلةrobust ARCH, outlier-robust ARCH, heavy-tailed ARCH, robust conditional volatility modelExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
ذات صلة66
الملخصThe Robust ARCH model extends the classical Autoregressive Conditional Heteroscedasticity framework by replacing the standard maximum-likelihood estimator with robust alternatives that downweight or eliminate the influence of outliers. This makes volatility estimates resistant to extreme observations that frequently contaminate financial and macroeconomic time series.The Exponential GARCH (EGARCH) model, introduced by Nelson (1991), extends the standard GARCH framework by modelling the logarithm of conditional variance. This ensures variance is always positive without parameter constraints and, crucially, allows negative and positive shocks to have asymmetric effects on volatility — capturing the well-known leverage effect in financial markets.
ScholarGateمجموعة البيانات
  1. v1
  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED

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ScholarGateقارن الطرق: Robust ARCH model · EGARCH model. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare