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Експоненційне GARCH (EGARCH)×Узагальнена авторегресійна умовна гетероскедастичність (GARCH)×GJR-GARCH (Асиметричний GARCH)×
ГалузьЕконометрикаЕконометрикаЕконометрика
РодинаRegression modelRegression modelRegression model
Рік появи199119861993
Автор методуNelsonTim BollerslevGlosten, Jagannathan & Runkle (1993); Zakoian (1994)
ТипConditional volatility model (asymmetric GARCH variant)Conditional volatility modelAsymmetric conditional volatility model
Основоположне джерелоNelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗Bollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327. 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 ↗
Інші назвиexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCHGARCH(1,1), generalized ARCH, conditional volatility model, GARCH Modeliasymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)
Пов'язані455
ПідсумокEGARCH 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.GARCH is an econometric model for the time-varying volatility of financial time series, introduced by Tim Bollerslev in 1986 as a generalisation of Engle's ARCH model. It treats the conditional variance as a function of past squared shocks and past variances, capturing the volatility clustering seen in returns.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).
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ScholarGateПорівняння методів: EGARCH · GARCH · GJR-GARCH. Отримано 2026-06-20 з https://scholargate.app/uk/compare