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EGARCH model (eksponencijalni GARCH)×ARCH model (autoregresivna uslovna heteroskedastičnost)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19911982
TvoracDaniel B. NelsonRobert F. Engle
TipVolatility / conditional variance modelConditional volatility model
Temeljni izvorNelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
Drugi naziviExponential GARCH, EGARCH, Nelson EGARCH, log-GARCHARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
Srodne66
SažetakThe Exponential GARCH (EGARCH) model, introduced by Nelson (1991), extends the standard GARCH framework by modelling the logarithm of conditional variance. This ensures variance is always positive without parameter constraints and, crucially, allows negative and positive shocks to have asymmetric effects on volatility — capturing the well-known leverage effect in financial markets.The ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering.
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ScholarGateUporedite metode: EGARCH model · ARCH model. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare