Regression modelEconometrics / time series
TGARCH Model (Threshold GARCH)
The 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.
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Sources
- Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI: 10.1016/0165-1889(94)90039-6 ↗
- 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. Journal of Finance, 48(5), 1779-1801. DOI: 10.1111/j.1540-6261.1993.tb05128.x ↗
Related methods
Referenced by
ARCH modelBayesian TGARCHDCC-GARCH modelEGARCH modelFourier GARCH ModelFourier TGARCHNonlinear EGARCH modelNonlinear GARCH modelNonlinear TGARCH modelPanel GARCH modelRobust EGARCHRobust TGARCHStructural Break ARCH ModelStructural Break EGARCHStructural Break TGARCHTime-varying parameter TGARCH model