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GJR-GARCH (Asimetrični GARCH)×Model s fiksnim učincima za panelne podatke×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19932014
TvoracGlosten, Jagannathan & Runkle (1993); Zakoian (1994)Hsiao (textbook treatment); within transformation of panel data
VrstaAsymmetric conditional volatility modelPanel data regression
Temeljni izvorGlosten, 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 ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Drugi naziviasymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Srodne55
SažetakGJR-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).The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
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ScholarGateUsporedite metode: GJR-GARCH · Panel Fixed Effects. Preuzeto 2026-06-20 s https://scholargate.app/hr/compare