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Robust EGARCH mudel

Robust EGARCH laiendab Nelsoni (1991) eksponentsiaalset GARCH-mudelit, asendades standardse kvasi-maksimumtõenäosuse hinnangu (quasi-maximum likelihood estimation) vastupidavate protseduuridega – tavaliselt piiratud mõjuga (bounded-influence) või M-hinnangutega –, et väikesed äärmuslikud vaatlused või andmevead ei moonutaks hinnatud volatiilsuse dünaamikat ega hoobise efekti (leverage effect).

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Allikad

  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

Kuidas sellele lehele viidata

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

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Sellele viitavad

ScholarGateRobust EGARCH (Robust Exponential Generalized Autoregressive Conditional Heteroscedasticity Model). Loetud 2026-06-15 aadressilt https://scholargate.app/et/econometrics/robust-egarch · Andmestik: https://doi.org/10.5281/zenodo.20539026