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Johansen-kointegrasjonstest og Vektor Feilkorreksjonsmodell×Langhukommelsesmodeller (ARFIMA, FIGARCH)×
FagfeltFinansFinans
FamilieRegression modelRegression model
Opprinnelsesår19911980
OpphavspersonSøren JohansenGranger & Joyeux (ARFIMA); Baillie, Bollerslev & Mikkelsen (FIGARCH)
TypeMultivariate cointegration / vector error correction modelFractionally integrated time series model
Opprinnelig kildeJohansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗Granger, C. W. J. & Joyeux, R. (1980). An Introduction to Long-Memory Time Series Models and Fractional Differencing. Journal of Time Series Analysis, 1(1), 15-29. DOI ↗
AliasJohansen test, VECM, vector error correction model, multivariate cointegrationARFIMA, FIGARCH, fractionally integrated models, fractional integration
Relaterte34
SammendragThe 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.Long-memory models are fractional-integration methods that capture genuine long memory through a hyperbolically decaying autocorrelation structure. ARFIMA, introduced by Granger and Joyeux (1980), models long memory in return series, while FIGARCH, introduced by Baillie, Bollerslev and Mikkelsen (1996), captures long memory in volatility series; the parameter d measures the degree of fractional integration.
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ScholarGateSammenlign metoder: Johansen Cointegration Test · Long-Memory Models. Hentet 2026-06-19 fra https://scholargate.app/no/compare