Compara mètodes

	Model de paràmetres variables en el temps TGARCH	Model TGARCH (Threshold GARCH)
Camp	Econometria	Econometria
Família	Regression model	Regression model
Any d'origen	1990s–2000s	1993-1994
Autor original	Extension combining Zakoïan (1994) TGARCH and time-varying parameter methods	Zakoian (1994); Glosten, Jagannathan & Runkle (1993)
Tipus	Volatility model with asymmetry and parameter evolution	Asymmetric volatility model
Font seminal	Zakoïan, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931–955.	Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955.
Àlies	TVP-TGARCH, time-varying TGARCH, threshold GARCH with time-varying parameters, TVP Threshold GARCH	Threshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCH
Relacionats	4	6
Resum	The 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.