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Robust EGARCH Model

Robust EGARCH udvider Nelsons (1991) Exponential GARCH-model ved at erstatte standard quasi-maximum likelihood-estimering med procedurer, der er modstandsdygtige over for outliers — typisk bounded-influence eller M-estimering — så en lille brøkdel af ekstreme observationer eller datafejl ikke kan forvrænge den estimerede volatilitetsdynamik eller leverage-effekten.

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Kilder

  1. Muler, N., & Yohai, V. J. (2008). Robust estimates for GARCH models. Journal of Statistical Planning and Inference, 138(10), 2918–2940. DOI: 10.1016/j.jspi.2007.11.003
  2. Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI: 10.2307/2938260

Sådan citerer du denne side

ScholarGate. (2026, June 3). Robust Exponential Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/da/econometrics/robust-egarch

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ScholarGateRobust EGARCH (Robust Exponential Generalized Autoregressive Conditional Heteroscedasticity Model). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/robust-egarch · Datasæt: https://doi.org/10.5281/zenodo.20539026