Mfumo Imara wa EGARCH
Mfumo Imara wa EGARCH unapanua mfumo wa Exponential GARCH wa Nelson (1991) kwa kubadilisha makadirio ya kawaida ya kiwango cha juu cha uwezekano (quasi-maximum likelihood estimation) na taratibu zinazostahimili maadili ya nje (outlier-resistant procedures) — kwa kawaida huathiriwa kwa kikomo au makadirio ya M (M-estimation) — ili sehemu ndogo ya uchunguzi uliokithiri au makosa ya data yasiweze kupotosha mienendo ya makadirio ya kutokuwa na uhakika (volatility dynamics) au athari ya kujiinua (leverage effect).
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Muler, N., & Yohai, V. J. (2008). Robust estimates for GARCH models. Journal of Statistical Planning and Inference, 138(10), 2918–2940. DOI: 10.1016/j.jspi.2007.11.003 ↗
- Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI: 10.2307/2938260 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Robust Exponential Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/sw/econometrics/robust-egarch
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Mchambuko wa DCC-GARCH (Dynamic Conditional Correlation)Ekonometriki↔ compare
- Modeli ya EGARCH (Exponential GARCH)Ekonometriki↔ compare
- Modeli wa GARCH (Utabiri wa Msukosuko)Ekonometriki↔ compare
- Mfumo Imara wa GARCHEkonometriki↔ compare
- TGARCH ImaraEkonometriki↔ compare
- Modeli ya TGARCH (Threshold GARCH)Ekonometriki↔ compare
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