Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Нелинейная модель коррекции ошибок вектора (Nonlinear VECM)× | Тест Йохансена на коинтеграцию и модель коррекции ошибок в векторной форме× | |
|---|---|---|
| Область≠ | Эконометрика | Финансы |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1989–1998 | 1991 |
| Автор метода≠ | Granger & Lee (1989); Enders & Granger (1998) | Søren Johansen |
| Тип≠ | Nonlinear time-series model | Multivariate cointegration / vector error correction model |
| Основополагающий источник≠ | 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 ↗ | Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗ |
| Другие названия≠ | nonlinear VECM, NVECM, threshold VECM, asymmetric VECM | Johansen test, VECM, vector error correction model, multivariate cointegration |
| Связанные≠ | 2 | 3 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
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