Methoden vergelijken

	Tijdsvariërend Parameter TGARCH Model	TGARCH-model (Threshold GARCH)
Vakgebied	Econometrie	Econometrie
Familie	Regression model	Regression model
Jaar van ontstaan	1990s–2000s	1993-1994
Grondlegger	Extension combining Zakoïan (1994) TGARCH and time-varying parameter methods	Zakoian (1994); Glosten, Jagannathan & Runkle (1993)
Type	Volatility model with asymmetry and parameter evolution	Asymmetric volatility model
Oorspronkelijke bron	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.
Aliassen	TVP-TGARCH, time-varying TGARCH, threshold GARCH with time-varying parameters, TVP Threshold GARCH	Threshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCH
Verwant	4	6
Samenvatting	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.