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TGARCH model (Threshold GARCH)×Vektorska autoregresija (VAR)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1993-19941980
TvoracZakoian (1994); Glosten, Jagannathan & Runkle (1993)Christopher A. Sims
VrstaAsymmetric volatility modelMultivariate time-series model
Temeljni izvorZakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Drugi naziviThreshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCHVAR, VAR model, vector autoregressive model, multivariate autoregression
Srodne65
SažetakThe 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.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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ScholarGateUsporedite metode: TGARCH model · Vector Autoregression. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare