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Fourier TGARCH modell×TGARCH modell (küszöb GARCH)×
TudományterületÖkonometriaÖkonometria
MódszercsaládRegression modelRegression model
Keletkezés éve1994 / 20121993-1994
MegalkotóZakoian (1994) for TGARCH; Enders and Lee (2012) for Fourier approximation frameworkZakoian (1994); Glosten, Jagannathan & Runkle (1993)
TípusVolatility model with asymmetric leverage and Fourier smooth breaksAsymmetric volatility model
AlapműZakoian, 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 ↗
Alternatív nevekFourier TGARCH, Fourier Threshold GARCH, Fourier GJR-GARCH, smooth structural break TGARCHThreshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCH
Kapcsolódó56
ÖsszefoglalóThe 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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  3. PUBLISHED

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ScholarGateMódszerek összehasonlítása: Fourier TGARCH · TGARCH model. Letöltve 2026-06-18, forrás: https://scholargate.app/hu/compare