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| نموذج TGARCH اللاخطي× | نموذج TGARCH (الانحدار الذاتي الشرطي غير المتجانس ذو العتبة)× | |
|---|---|---|
| المجال | الاقتصاد القياسي | الاقتصاد القياسي |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1993–1994 | 1993-1994 |
| صاحب الطريقة≠ | Jean-Michel Zakoian; related work by Glosten, Jagannathan & Runkle | Zakoian (1994); Glosten, Jagannathan & Runkle (1993) |
| النوع≠ | Conditional heteroskedasticity model | Asymmetric volatility model |
| المصدر التأسيسي≠ | Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931–955. DOI ↗ | Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗ |
| الأسماء البديلة | NL-TGARCH, Nonlinear Threshold GARCH, Asymmetric TGARCH, GJR-GARCH variant | Threshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCH |
| ذات صلة≠ | 4 | 6 |
| الملخص≠ | 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. | 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. |
| ScholarGateمجموعة البيانات ↗ |
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