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VAR s pragom i VAR s glatkom tranzicijom (TVAR / STVAR)×GJR-GARCH (Asimetrični GARCH)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19981993
TvoracTsay (multivariate threshold modelling)Glosten, Jagannathan & Runkle (1993); Zakoian (1994)
VrstaNonlinear multivariate time-series modelAsymmetric conditional volatility model
Temeljni izvorTsay, R. S. (1998). Testing and Modeling Multivariate Threshold Models. Journal of the American Statistical Association, 93(443), 1188-1202. DOI ↗Glosten, L. R., Jagannathan, R. & Runkle, D. E. (1993). On the Relation Between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of Finance, 48(5), 1779-1801. DOI ↗
Drugi naziviTVAR, STVAR, regime-switching VAR, threshold VARasymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)
Srodne55
SažetakThreshold VAR and Smooth-Transition VAR are nonlinear multivariate time-series models in which the coefficients of a vector autoregression switch between regimes according to a threshold variable. Building on Tsay's 1998 treatment of multivariate threshold models, they capture different dynamic structures across phases such as the business cycle, financial crises, or policy differences.GJR-GARCH is a variant of the GARCH conditional-volatility model that captures the asymmetric effect of negative shocks on volatility using an indicator variable. It was introduced by Glosten, Jagannathan and Runkle (1993), with a closely related threshold formulation by Zakoian (1994).
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ScholarGateUsporedite metode: Threshold and Smooth-Transition VAR · GJR-GARCH. Preuzeto 2026-06-19 s https://scholargate.app/hr/compare