Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| TGARCH Robust× | Modeli TGARCH (Threshold GARCH)× | |
|---|---|---|
| Fusha | Ekonometri | Ekonometri |
| Familja | Regression model | Regression model |
| Viti i origjinës≠ | 1994–2000s | 1993-1994 |
| Krijuesi≠ | Zakoian (1994) for TGARCH; robust extensions developed through quasi-maximum likelihood and M-estimation literature | Zakoian (1994); Glosten, Jagannathan & Runkle (1993) |
| Lloji≠ | Volatility model with asymmetry and robust estimation | Asymmetric volatility model |
| Burimi themelues≠ | 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 ↗ |
| Emërtime të tjera | robust GJR-GARCH, robust threshold GARCH, heavy-tail TGARCH, outlier-robust TGARCH | Threshold GARCH, TGARCH, GJR-GARCH, asymmetric GARCH |
| Të lidhura | 6 | 6 |
| Përmbledhja≠ | Robust TGARCH extends the Threshold GARCH model by replacing the conventional maximum likelihood objective with an estimator that is resistant to heavy-tailed innovations and outlying observations. It captures asymmetric volatility responses — where negative shocks amplify variance more than positive shocks — while remaining reliable when the return distribution deviates strongly from normality. | 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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