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Fourier GARCH model×Model DCC-GARCH (Dinamička uvjetna korelacija)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka2000–20122002
TvoracLudlow & Enders (2000); extended by Enders & Lee (2012) Fourier frameworkRobert F. Engle
VrstaVolatility modelMultivariate volatility model
Temeljni izvorLudlow, J., & Enders, W. (2000). Estimating non-linear ARMA models using Fourier coefficients. International Journal of Forecasting, 16(3), 333–347. DOI ↗Engle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. DOI ↗
Drugi naziviFourier GARCH, Fourier-flexible GARCH, GARCH with Fourier terms, smooth-break GARCHDCC-GARCH, Dynamic Conditional Correlation GARCH, Engle DCC model, multivariate DCC
Srodne55
SažetakThe Fourier GARCH model embeds trigonometric Fourier terms into a standard GARCH framework to capture smooth, gradual shifts in the conditional variance process without requiring knowledge of exact structural break dates. By approximating unknown break patterns with sinusoidal functions, it jointly models volatility clustering and time-varying unconditional variance.The DCC-GARCH model, introduced by Engle (2002), extends univariate GARCH to capture time-varying correlations between multiple financial time series. It decomposes the multivariate conditional covariance matrix into individual volatility processes and a dynamic correlation matrix, allowing correlations to fluctuate over time while remaining computationally tractable even with many series.
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ScholarGateUsporedite metode: Fourier GARCH Model · DCC-GARCH model. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare