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지수적 GARCH (EGARCH)×GJR-GARCH (비대칭 GARCH)×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도19911993
창시자NelsonGlosten, Jagannathan & Runkle (1993); Zakoian (1994)
유형Conditional volatility model (asymmetric GARCH variant)Asymmetric conditional volatility model
원전Nelson, 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 ↗
별칭exponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCHasymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)
관련45
요약EGARCH 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).
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