Modeli ya EGARCH (Exponential GARCH)
Modeli ya Exponential GARCH (EGARCH), iliyoanzishwa na Nelson (1991), inapanua mfumo wa kawaida wa GARCH kwa kuunda logariti ya kiwango cha kutofautiana kwa masharti. Hii huhakikisha kutofautiana huwa chanya bila vikwazo vya kigezo na, kwa muhimu, huruhusu mshtuko hasi na chanya kuwa na athari zisizo sawa kwenye mgeuko — ikikamata athari ya kujiinua inayojulikana katika masoko ya fedha.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
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Vyanzo
- Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI: 10.2307/2938260 ↗
- Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI: 10.1016/0304-4076(86)90063-1 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Exponential Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/sw/econometrics/egarch-model
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.
- Muundo wa ARCH (Autoregressive Conditional Heteroskedasticity)Ekonometriki↔ compare
- Mfumo wa ARIMA (Autoregressive Integrated Moving Average)Ekonometriki↔ compare
- Mchambuko wa DCC-GARCH (Dynamic Conditional Correlation)Ekonometriki↔ compare
- Modeli wa GARCH (Utabiri wa Msukosuko)Ekonometriki↔ compare
- Modeli ya TGARCH (Threshold GARCH)Ekonometriki↔ compare
- Ubora wa Utegemezi wa Viga (VAR)Ekonometriki↔ compare
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