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Regression modelEconometrics / time series

Fourier DCC-GARCH-modell

Fourier DCC-GARCH-modellen utvider Engles Dynamic Conditional Correlation GARCH-rammeverk ved å inkorporere Fourier trigonometriske ledd i ligningene for betinget gjennomsnitt eller varians. Dette gjør at modellen kan approksimere jevne, gradvise strukturelle skift i volatilitetsdynamikk og korrelasjoner mellom aktiva uten å kreve kunnskap om antall eller tidspunkt for brudd.

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Kilder

  1. Engle, R. (2002). Dynamic conditional correlations: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. link
  2. Nazlioglu, S., Gormus, N. A., & Soytas, U. (2016). Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis. Energy Economics, 60, 168-175. DOI: 10.1016/j.eneco.2016.09.009

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ScholarGate. (2026, June 3). Fourier Dynamic Conditional Correlation GARCH Model. ScholarGate. https://scholargate.app/no/econometrics/fourier-dcc-garch

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ScholarGateFourier DCC-GARCH (Fourier Dynamic Conditional Correlation GARCH Model). Hentet 2026-06-15 fra https://scholargate.app/no/econometrics/fourier-dcc-garch · Datasett: https://doi.org/10.5281/zenodo.20539026