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Ujian Ko-integrasi Johansen dan Model Pembetulan Ralat Vektor×Model Ingatan Jangka Panjang (ARFIMA, FIGARCH)×
BidangKewanganKewangan
KeluargaRegression modelRegression model
Tahun asal19911980
PengasasSøren JohansenGranger & Joyeux (ARFIMA); Baillie, Bollerslev & Mikkelsen (FIGARCH)
JenisMultivariate cointegration / vector error correction modelFractionally integrated time series model
Sumber perintisJohansen, 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
Berkaitan34
RingkasanThe 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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ScholarGateBandingkan kaedah: Johansen Cointegration Test · Long-Memory Models. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare