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Regression modelEconometrics / time series

Fourie GARCH-mudel

Fourie GARCH-mudel põimib trigonomeetrilised Fourie terminid standardsesse GARCH-raamistikku, et tabada tingliku dispersiooniprotsessi sujuvaid, järkjärgulisi nihkeid, ilma et oleks vaja teada täpseid struktuurimurdepunkte. Lähendades tundmatuid murdemustreid sinusoidsete funktsioonidega, modelleerib see ühiselt volatiilsuse klastreid ja ajas muutuva tingimatu dispersiooni.

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Method map

The neighbourhood of related methods — select a node to explore.

Allikad

  1. Ludlow, J., & Enders, W. (2000). Estimating non-linear ARMA models using Fourier coefficients. International Journal of Forecasting, 16(3), 333–347. DOI: 10.1016/S0169-2070(00)00048-0
  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

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Fourier-Flexible Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/et/econometrics/fourier-garch-model

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Sellele viitavad

ScholarGateFourier GARCH Model (Fourier-Flexible Generalized Autoregressive Conditional Heteroscedasticity Model). Loetud 2026-06-15 aadressilt https://scholargate.app/et/econometrics/fourier-garch-model · Andmestik: https://doi.org/10.5281/zenodo.20539026