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Fourierov vektorový korekčný model chýb (Fourier VECM)×Nelineárny vektorový model korekcie chýb (Nonlinear VECM)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku2004–20121989–1998
TvorcaEnders & Lee (2004/2012); extended to VECM by subsequent authorsGranger & Lee (1989); Enders & Granger (1998)
TypError-correction model with Fourier termsNonlinear time-series model
Pôvodný zdrojEnders, 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 ↗Enders, W., & Granger, C. W. J. (1998). Unit-root tests and asymmetric adjustment with an example using the term structure of interest rates. Journal of Business & Economic Statistics, 16(3), 304–311. DOI ↗
Ďalšie názvyFourier VECM, Fourier-approximation VECM, smooth-break VECM, trigonometric VECMnonlinear VECM, NVECM, threshold VECM, asymmetric VECM
Príbuzné52
ZhrnutieThe Fourier VECM augments the classical vector error correction model with low-frequency trigonometric terms — sine and cosine components — to capture smooth, gradual structural change in cointegrating relationships without specifying the number or timing of breaks in advance. It is used for multivariate cointegrated systems where long-run equilibria may shift gradually over time.The Nonlinear VECM extends the standard linear VECM by allowing the speed of adjustment toward long-run equilibrium to differ depending on the sign, magnitude, or regime of deviations from that equilibrium. It captures asymmetric or threshold-driven dynamics in cointegrated time-series systems that a standard VECM would miss.
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ScholarGatePorovnať metódy: Fourier VECM · Nonlinear VECM. Získané 2026-06-18 z https://scholargate.app/sk/compare