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Robust ARCH-model

Robust ARCH-modellen udvider det klassiske Autoregressive Conditional Heteroscedasticity (ARCH) framework ved at erstatte standard maximum-likelihood estimatoren med robuste alternativer, der nedvægter eller eliminerer indflydelsen fra outliers. Dette gør volatilitetsestimater modstandsdygtige over for ekstreme observationer, der ofte forurener finansielle og makroøkonomiske tidsserier.

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Kilder

  1. Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI: 10.2307/1912773
  2. Iqbal, F. (2013). Robust estimation for the ARCH models. Revista Colombiana de Estadística, 36(1), 41–56. link

Sådan citerer du denne side

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

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