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임계값 및 평활-전환 VAR (TVAR / STVAR)×지수적 GARCH (EGARCH)×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도19981991
창시자Tsay (multivariate threshold modelling)Nelson
유형Nonlinear multivariate time-series modelConditional volatility model (asymmetric GARCH variant)
원전Tsay, 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 ↗
별칭TVAR, STVAR, regime-switching VAR, threshold VARexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
관련54
요약Threshold 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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