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Model Furijeovog GARCH-a×Model TGARCH (Prag GARCH)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1994 / 20121993-1994
TvoracZakoian (1994) for TGARCH; Enders and Lee (2012) for Fourier approximation frameworkZakoian (1994); Glosten, Jagannathan & Runkle (1993)
TipVolatility model with asymmetric leverage and Fourier smooth breaksAsymmetric volatility model
Temeljni izvorZakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗
Drugi naziviFourier TGARCH, Fourier Threshold GARCH, Fourier GJR-GARCH, smooth structural break TGARCHThreshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCH
Srodne56
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 Threshold GARCH (TGARCH) model extends the standard GARCH framework by allowing positive and negative return shocks to have asymmetric effects on conditional variance. Negative shocks — bad news — typically amplify volatility more than positive shocks of the same magnitude, a stylised fact known as the leverage effect. TGARCH captures this asymmetry through a threshold indicator that switches on when the previous period's shock was negative.
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ScholarGateUporedite metode: Fourier TGARCH · TGARCH model. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare