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Zeitvariante Parameter TGARCH-Modell×Das TGARCH-Modell (Threshold GARCH)×
FachgebietÖkonometrieÖkonometrie
FamilieRegression modelRegression model
Entstehungsjahr1990s–2000s1993-1994
UrheberExtension combining Zakoïan (1994) TGARCH and time-varying parameter methodsZakoian (1994); Glosten, Jagannathan & Runkle (1993)
TypVolatility model with asymmetry and parameter evolutionAsymmetric volatility model
Wegweisende QuelleZakoïan, 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 ↗
AliasnamenTVP-TGARCH, time-varying TGARCH, threshold GARCH with time-varying parameters, TVP Threshold GARCHThreshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCH
Verwandt46
ZusammenfassungThe TVP-TGARCH model extends Threshold GARCH by allowing its volatility parameters to evolve over time via a state-space representation. It captures both the leverage effect — that negative return shocks increase volatility more than positive ones — and structural change in that asymmetry, making it well-suited for long financial time series subject to regime shifts.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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ScholarGateMethoden vergleichen: Time-varying parameter TGARCH model · TGARCH model. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare