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Model GARCH (Peramalan Volatilitas)×Exponential GARCH (EGARCH)×
BidangEkonometrikaEkonometrika
KeluargaRegression modelRegression model
Tahun asal19861991
PencetusTim BollerslevNelson
TipeConditional volatility modelConditional volatility model (asymmetric GARCH variant)
Sumber perintisBollerslev, 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 ↗
AliasGARCH, GARCH(1,1), conditional volatility model, GARCH Modeli (Oynaklık Tahmini)exponential GARCH, Nelson's EGARCH, asymmetric GARCH, EGARCH — Üstel GARCH
Terkait54
RingkasanThe 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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ScholarGateBandingkan metode: GARCH Model · EGARCH. Diakses 2026-06-17 dari https://scholargate.app/id/compare