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Modèle Vectoriel à Correction d'Erreur Non Linéaire (Nonlinear VECM)×Test de cointégration de Johansen et modèle à correction d'erreur vectoriel×
DomaineÉconométrieFinance
FamilleRegression modelRegression model
Année d'origine1989–19981991
Auteur d'origineGranger & Lee (1989); Enders & Granger (1998)Søren Johansen
TypeNonlinear time-series modelMultivariate cointegration / vector error correction model
Source fondatriceEnders, 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 ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗
Aliasnonlinear VECM, NVECM, threshold VECM, asymmetric VECMJohansen test, VECM, vector error correction model, multivariate cointegration
Apparentées23
RésuméThe 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.The Johansen procedure is a multivariate cointegration framework, introduced by Søren Johansen in 1991, that tests for long-run equilibrium relationships among several I(1) time series. It determines how many cointegrating vectors link the series and then builds a Vector Error Correction Model (VECM) to describe the short-run dynamics around that equilibrium.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Nonlinear VECM · Johansen Cointegration Test. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare