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APARCH×Exponential GARCH (EGARCH)×GJR-GARCH (GARCH asimmetrico)×
CampoEconometriaEconometriaEconometria
FamigliaRegression modelRegression modelRegression model
Anno di origine199319911993
IdeatoreDing, Granger & EngleNelsonGlosten, Jagannathan & Runkle (1993); Zakoian (1994)
TipoConditional heteroscedasticity modelConditional volatility model (asymmetric GARCH variant)Asymmetric conditional volatility model
Fonte seminaleDing, Z., Granger, C. W. J., & Engle, R. F. (1993). A long memory property of stock market returns and a new model. Journal of Empirical Finance, 1(1), 83–106. DOI ↗Nelson, 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 ↗
AliasAsymmetric Power ARCH, Power ARCH, APGARCH, Asimetrik Güç ARCHexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCHasymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)
Correlati345
SintesiAPARCH, introduced by Ding, Granger, and Engle (1993) while studying long-memory properties of stock market returns, extends the GARCH family by allowing both the power transformation of conditional volatility and an asymmetric response to positive and negative shocks. The model nests at least seven well-known ARCH-type specifications as special cases, making it a unifying framework for volatility modelling in financial econometrics.EGARCH 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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ScholarGateConfronta i metodi: APARCH · EGARCH · GJR-GARCH. Consultato il 2026-06-19 da https://scholargate.app/it/compare