เปรียบเทียบวิธี

	Threshold and Smooth-Transition VAR	GJR-GARCH (GARCH แบบไม่สมมาตร)
สาขาวิชา	เศรษฐมิติ	เศรษฐมิติ
ตระกูล	Regression model	Regression model
ปีกำเนิด	1998	1993
ผู้ริเริ่ม	Tsay (multivariate threshold modelling)	Glosten, Jagannathan & Runkle (1993); Zakoian (1994)
ประเภท	Nonlinear multivariate time-series model	Asymmetric conditional volatility model
แหล่งต้นตำรับ	Tsay, R. S. (1998). Testing and Modeling Multivariate Threshold Models. Journal of the American Statistical Association, 93(443), 1188-1202.	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.
ชื่อเรียกอื่น	TVAR, STVAR, regime-switching VAR, threshold VAR	asymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)
ที่เกี่ยวข้อง	5	5
สรุป	Threshold 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).