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Robustný EGARCH model×Model EGARCH (Exponenciálny GARCH)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku20081991
TvorcaNelson (1991) for EGARCH; robust adaptation via Muler & Yohai (2008) and related authorsDaniel B. Nelson
TypRobust volatility modelVolatility / conditional variance model
Pôvodný zdrojMuler, N., & Yohai, V. J. (2008). Robust estimates for GARCH models. Journal of Statistical Planning and Inference, 138(10), 2918–2940. DOI ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
Ďalšie názvyRobust EGARCH model, outlier-robust EGARCH, robust exponential GARCH, REGARCHExponential GARCH, EGARCH, Nelson EGARCH, log-GARCH
Príbuzné66
ZhrnutieRobust EGARCH extends Nelson's (1991) Exponential GARCH model by replacing standard quasi-maximum likelihood estimation with outlier-resistant procedures — typically bounded-influence or M-estimation — so that a small fraction of extreme observations or data errors cannot distort the estimated volatility dynamics or the leverage effect.The 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.
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ScholarGatePorovnať metódy: Robust EGARCH · EGARCH model. Získané 2026-06-18 z https://scholargate.app/sk/compare