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Fourierov ARCH model×Fourier GARCH model×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka2010s2000–2012
TvoracExtends Engle (1982) ARCH framework with Fourier terms following Enders & Lee (2012)Ludlow & Enders (2000); extended by Enders & Lee (2012) Fourier framework
VrstaVolatility model with smooth structural changeVolatility model
Temeljni izvorEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Ludlow, J., & Enders, W. (2000). Estimating non-linear ARMA models using Fourier coefficients. International Journal of Forecasting, 16(3), 333–347. DOI ↗
Drugi naziviFourier-ARCH, F-ARCH, ARCH with Fourier terms, Fourier smooth transition ARCHFourier GARCH, Fourier-flexible GARCH, GARCH with Fourier terms, smooth-break GARCH
Srodne65
SažetakThe Fourier ARCH model extends the classical ARCH framework by incorporating trigonometric (Fourier) terms into the conditional variance equation. This allows the model to capture smooth, gradual shifts in volatility dynamics over time without assuming abrupt structural breaks, making it well-suited for long financial or macroeconomic time series subject to slowly evolving regime changes.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.
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ScholarGateUsporedite metode: Fourier ARCH Model · Fourier GARCH Model. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare