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Robustni EGARCH model

Robustni EGARCH proširuje Nelsonov (1991) eksponencijalni GARCH model zamjenom standardne kvazi-maksimalne vjerodostojnosti postupcima otpornim na odstupanja — obično procjenom ograničenog utjecaja ili M-procjenom — tako da mali udio ekstremnih opažanja ili pogrešaka u podacima ne može iskriviti procijenjenu dinamiku volatilnosti ili učinak poluge.

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Izvori

  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

Kako citirati ovu stranicu

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

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Citirana u

ScholarGateRobust EGARCH (Robust Exponential Generalized Autoregressive Conditional Heteroscedasticity Model). Preuzeto 2026-06-15 s https://scholargate.app/hr/econometrics/robust-egarch · Skup podataka: https://doi.org/10.5281/zenodo.20539026