ScholarGate
المساعد

قارن الطرق

راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.

نموذج فورييه TGARCH×نموذج فورير-جارج (Fourier GARCH Model)×
المجالالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة1994 / 20122000–2012
صاحب الطريقةZakoian (1994) for TGARCH; Enders and Lee (2012) for Fourier approximation frameworkLudlow & Enders (2000); extended by Enders & Lee (2012) Fourier framework
النوعVolatility model with asymmetric leverage and Fourier smooth breaksVolatility model
المصدر التأسيسيZakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗Ludlow, J., & Enders, W. (2000). Estimating non-linear ARMA models using Fourier coefficients. International Journal of Forecasting, 16(3), 333–347. DOI ↗
الأسماء البديلةFourier TGARCH, Fourier Threshold GARCH, Fourier GJR-GARCH, smooth structural break TGARCHFourier GARCH, Fourier-flexible GARCH, GARCH with Fourier terms, smooth-break GARCH
ذات صلة55
الملخصThe Fourier TGARCH model extends the Threshold GARCH framework by embedding Fourier trigonometric terms in the conditional variance equation to capture smooth, gradual structural breaks in volatility dynamics. It jointly models asymmetric leverage effects — where negative shocks amplify volatility more than positive shocks of the same magnitude — and time-varying intercept shifts caused by unobserved structural change.The Fourier GARCH model embeds trigonometric Fourier terms into a standard GARCH framework to capture smooth, gradual shifts in the conditional variance process without requiring knowledge of exact structural break dates. By approximating unknown break patterns with sinusoidal functions, it jointly models volatility clustering and time-varying unconditional variance.
ScholarGateمجموعة البيانات
  1. v1
  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED

انتقل إلى البحث تنزيل الشرائح

ScholarGateقارن الطرق: Fourier TGARCH · Fourier GARCH Model. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare