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Linganisha mbinu

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Mfumo wa Fourier TGARCH×Mfumo wa GARCH wa Fourier×
NyanjaEkonometrikiEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili1994 / 20122000–2012
MwanzilishiZakoian (1994) for TGARCH; Enders and Lee (2012) for Fourier approximation frameworkLudlow & Enders (2000); extended by Enders & Lee (2012) Fourier framework
AinaVolatility model with asymmetric leverage and Fourier smooth breaksVolatility model
Chanzo asiliaZakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗Ludlow, J., & Enders, W. (2000). Estimating non-linear ARMA models using Fourier coefficients. International Journal of Forecasting, 16(3), 333–347. DOI ↗
Majina mbadalaFourier TGARCH, Fourier Threshold GARCH, Fourier GJR-GARCH, smooth structural break TGARCHFourier GARCH, Fourier-flexible GARCH, GARCH with Fourier terms, smooth-break GARCH
Zinazohusiana55
MuhtasariThe Fourier TGARCH model extends the Threshold GARCH framework by embedding Fourier trigonometric terms in the conditional variance equation to capture smooth, gradual structural breaks in volatility dynamics. It jointly models asymmetric leverage effects — where negative shocks amplify volatility more than positive shocks of the same magnitude — and time-varying intercept shifts caused by unobserved structural change.The 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.
ScholarGateSeti ya data
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Fourier TGARCH · Fourier GARCH Model. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare