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Model Furijeovog GARCH-a×Model Furije GARCH×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1994 / 20122000–2012
TvoracZakoian (1994) for TGARCH; Enders and Lee (2012) for Fourier approximation frameworkLudlow & Enders (2000); extended by Enders & Lee (2012) Fourier framework
TipVolatility model with asymmetric leverage and Fourier smooth breaksVolatility model
Temeljni izvorZakoian, 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 ↗
Drugi naziviFourier TGARCH, Fourier Threshold GARCH, Fourier GJR-GARCH, smooth structural break TGARCHFourier GARCH, Fourier-flexible GARCH, GARCH with Fourier terms, smooth-break GARCH
Srodne55
SažetakThe 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.
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ScholarGateUporedite metode: Fourier TGARCH · Fourier GARCH Model. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare