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Generaliseeritud Autoregressiivne Tingimuslik Heteroskedastilisus (GARCH)×Eksponentsiaalne GARCH (EGARCH)×
ValdkondÖkonomeetriaÖkonomeetria
PerekondRegression modelRegression model
Tekkeaasta19861991
LoojaTim BollerslevNelson
TüüpConditional volatility modelConditional volatility model (asymmetric GARCH variant)
AlgallikasBollerslev, T. (1986). Generalized Autoregressive Conditional Heteroskedasticity. Journal of Econometrics, 31(3), 307-327. DOI ↗Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59(2), 347-370. DOI ↗
RööpnimetusedGARCH(1,1), generalized ARCH, conditional volatility model, GARCH Modeliexponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Seotud54
KokkuvõteGARCH 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.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.
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ScholarGateVõrdle meetodeid: GARCH · EGARCH. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare