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Prag i glatki prelazni VAR (TVAR / STVAR)×Eksponencijalni GARCH (EGARCH)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19981991
TvoracTsay (multivariate threshold modelling)Nelson
TipNonlinear multivariate time-series modelConditional volatility model (asymmetric GARCH variant)
Temeljni izvorTsay, R. S. (1998). Testing and Modeling Multivariate Threshold Models. Journal of the American Statistical Association, 93(443), 1188-1202. DOI ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗
Drugi naziviTVAR, STVAR, regime-switching VAR, threshold VARexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Srodne54
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.EGARCH is an asymmetric GARCH variant, introduced by Nelson in 1991, that models the leverage effect in which bad news raises volatility more than good news of the same size. It captures the negative-shock asymmetry of financial return series by modelling the logarithm of the conditional variance.
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ScholarGateUporedite metode: Threshold and Smooth-Transition VAR · EGARCH. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare