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GARCH model (predviđanje volatilnosti)×Eksponencijalni GARCH (EGARCH)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19861991
TvoracTim BollerslevNelson
TipConditional volatility modelConditional volatility model (asymmetric GARCH variant)
Temeljni izvorBollerslev, 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 ↗
Drugi naziviGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)exponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Srodne54
SažetakThe Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model, introduced by Tim Bollerslev in 1986, models the time-varying conditional variance of a financial time series. It captures volatility clustering and the ARCH effect, and is the standard tool for estimating risk and volatility in return series.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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ScholarGateUporedite metode: GARCH Model · EGARCH. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare