Confronta i metodi

	Modello TGARCH a Parametri Variabili nel Tempo	Modello GARCH (Previsione della Volatilità)
Campo	Econometria	Econometria
Famiglia	Regression model	Regression model
Anno di origine	1990s–2000s	1986
Ideatore	Extension combining Zakoïan (1994) TGARCH and time-varying parameter methods	Tim Bollerslev
Tipo	Volatility model with asymmetry and parameter evolution	Conditional volatility model
Fonte seminale	Zakoïan, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931–955.	Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307–327.
Alias	TVP-TGARCH, time-varying TGARCH, threshold GARCH with time-varying parameters, TVP Threshold GARCH	GARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)
Correlati	4	5
Sintesi	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 Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.