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EGARCH-model (Eksponentiel GARCH)

Det Eksponentielle GARCH (EGARCH) model, introduceret af Nelson (1991), udvider den standard GARCH-ramme ved at modellere logaritmen af den betingede varians. Dette sikrer, at variansen altid er positiv uden parameterbegrænsninger og, afgørende, tillader negative og positive chok at have asymmetriske effekter på volatiliteten — hvilket indfanger den velkendte gearingseffekt i finansielle markeder.

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Kilder

  1. Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI: 10.2307/2938260
  2. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327. DOI: 10.1016/0304-4076(86)90063-1

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

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