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Mfumo Imara wa EGARCH

Mfumo Imara wa EGARCH unapanua mfumo wa Exponential GARCH wa Nelson (1991) kwa kubadilisha makadirio ya kawaida ya kiwango cha juu cha uwezekano (quasi-maximum likelihood estimation) na taratibu zinazostahimili maadili ya nje (outlier-resistant procedures) — kwa kawaida huathiriwa kwa kikomo au makadirio ya M (M-estimation) — ili sehemu ndogo ya uchunguzi uliokithiri au makosa ya data yasiweze kupotosha mienendo ya makadirio ya kutokuwa na uhakika (volatility dynamics) au athari ya kujiinua (leverage effect).

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

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

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Imerejelewa na

ScholarGateRobust EGARCH (Robust Exponential Generalized Autoregressive Conditional Heteroscedasticity Model). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/robust-egarch · Seti ya data: https://doi.org/10.5281/zenodo.20539026