Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Johansen Cointegration Test× | Модель ARIMA (Авторегресійна інтегрована ковзна середня)× | |
|---|---|---|
| Галузь≠ | Фінанси | Економетрика |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1991 | 2015 |
| Автор методу≠ | Søren Johansen | Box & Jenkins (Box-Jenkins methodology) |
| Тип≠ | Multivariate cointegration / vector error correction model | Univariate time-series model |
| Основоположне джерело≠ | Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗ | Box, G. E. P., Jenkins, G. M., Reinsel, G. C. & Ljung, G. M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021 |
| Інші назви≠ | Johansen test, VECM, vector error correction model, multivariate cointegration | Box-Jenkins model, ARIMA(p,d,q), ARIMA Modeli |
| Пов'язані≠ | 3 | 5 |
| Підсумок≠ | 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. | ARIMA is a univariate time-series forecasting model that combines autoregressive, integrated (differencing), and moving-average components to predict a single continuous series from its own past. It is the centrepiece of the Box-Jenkins methodology set out in Box, Jenkins, Reinsel & Ljung's Time Series Analysis (5th ed., 2015). |
| ScholarGateНабір даних ↗ |
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