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نموذج ARCH (الانحراف المعياري الشرطي الذاتي الانحدار)×نموذج GARCH (التنبؤ بالتقلب)×
المجالالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة19821986
صاحب الطريقةRobert F. EngleTim Bollerslev
النوعConditional volatility modelConditional volatility model
المصدر التأسيسيEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI ↗
الأسماء البديلةARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance modelGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
ذات صلة65
الملخصThe ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering.The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.
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  1. v1
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  3. PUBLISHED

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