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Экспоненциальный GARCH (EGARCH)×GJR-GARCH (Асимметричный GARCH)×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления19911993
Автор методаNelsonGlosten, Jagannathan & Runkle (1993); Zakoian (1994)
ТипConditional volatility model (asymmetric GARCH variant)Asymmetric conditional volatility model
Основополагающий источникNelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗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. The Journal of Finance, 48(5), 1779-1801. DOI ↗
Другие названияexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCHasymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)
Связанные45
СводкаEGARCH is an asymmetric GARCH variant, introduced by Nelson in 1991, that models the leverage effect in which bad news raises volatility more than good news of the same size. It captures the negative-shock asymmetry of financial return series by modelling the logarithm of the conditional variance.GJR-GARCH is a variant of the GARCH conditional-volatility model that captures the asymmetric effect of negative shocks on volatility using an indicator variable. It was introduced by Glosten, Jagannathan and Runkle (1993), with a closely related threshold formulation by Zakoian (1994).
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: EGARCH · GJR-GARCH. Получено 2026-06-19 из https://scholargate.app/ru/compare