Method evidence record
Nonlinear TGARCH model
The Nonlinear TGARCH (Threshold GARCH) model extends the standard GARCH framework by allowing positive and negative shocks of equal magnitude to exert different effects on future volatility. It models conditional volatility in terms of the absolute value of lagged residuals split by a sign threshold, capturing the well-documented leverage effect in financial return series.
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Nonlinear Threshold GARCH Model
Taxonomic method record · regression-model / econometrics
- 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
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