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نموذج فورير-جارج (Fourier GARCH Model)×اختبار حدود فورييه ARDL×
المجالالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة2000–20122001-2021
صاحب الطريقةLudlow & Enders (2000); extended by Enders & Lee (2012) Fourier frameworkPesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
النوعVolatility modelCointegration / bounds test
المصدر التأسيسيLudlow, J., & Enders, W. (2000). Estimating non-linear ARMA models using Fourier coefficients. International Journal of Forecasting, 16(3), 333–347. DOI ↗Nazlioglu, S., Gormus, A., & Soytas, U. (2021). Oil prices and monetary policy in emerging markets: structural breaks, asymmetries, and Fourier approximations. Energy Economics, 95, 105119. link ↗
الأسماء البديلةFourier GARCH, Fourier-flexible GARCH, GARCH with Fourier terms, smooth-break GARCHFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
ذات صلة55
الملخصThe 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.The Fourier ARDL bounds test augments the Pesaran-Shin-Smith cointegration framework with trigonometric (Fourier) terms that capture gradual, smooth structural breaks in the data-generating process. It tests for a long-run level relationship between variables without requiring the researcher to specify the number, timing, or form of structural breaks in advance.
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  1. v1
  2. 2 المصادر
  3. PUBLISHED

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