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Regression modelEconometrics / time series

Fourier ARCH-model

Fourier ARCH-modellen udvider det klassiske ARCH-rammeværk ved at inkorporere trigonometriske (Fourier) led i ligningen for den betingede varians. Dette gør det muligt for modellen at indfange glatte, gradvise skift i volatilitetsdynamikken over tid uden at antage pludselige strukturelle brud, hvilket gør den velegnet til lange finansielle eller makroøkonomiske tidsserier, der er udsat for langsomt udviklende regimeskift.

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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. Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574–599. DOI: 10.1111/j.1468-0084.2011.00662.x

Sådan citerer du denne side

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

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