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Regression modelEconometrics / time series

Fourier TGARCH-modell

Fourier TGARCH-modellen utvider Threshold GARCH-rammeverket ved å inkludere Fourier trigonometriske ledd i ligningen for betinget varians for å fange opp jevne, gradvise strukturelle brudd i volatilitetsdynamikken. Den modellerer samtidig asymmetriske leveageffekter – der negative sjokk forsterker volatiliteten mer enn positive sjokk av samme størrelse – og tidsvarierende interceptendringer forårsaket av uobservert strukturell endring.

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Kilder

  1. Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI: 10.1016/0165-1889(94)90039-6
  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

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ScholarGate. (2026, June 3). Fourier Threshold Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/no/econometrics/fourier-tgarch

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ScholarGateFourier TGARCH (Fourier Threshold Generalized Autoregressive Conditional Heteroscedasticity Model). Hentet 2026-06-15 fra https://scholargate.app/no/econometrics/fourier-tgarch · Datasett: https://doi.org/10.5281/zenodo.20539026