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Тест на коинтеграцию (Йохансен / Энгл-Грейнджер)×Модель ARIMA (авторегрессионная интегрированная скользящая средняя)×Тест причинности по Грейнджеру×
ОбластьЭконометрикаЭконометрикаЭконометрика
СемействоRegression modelRegression modelRegression model
Год появления198820151969
Автор методаEngle & Granger (1987); Johansen (1988)Box & Jenkins (Box-Jenkins methodology)Clive W. J. Granger
ТипTime-series cointegration testUnivariate time-series modelTime-series predictive causality test
Основополагающий источникJohansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. 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: 978-1118675021Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗
Другие названияJohansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)Box-Jenkins model, ARIMA(p,d,q), ARIMA ModeliGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
Связанные555
СводкаThe cointegration test examines whether non-stationary time series that each contain a unit root share a stable long-run equilibrium relationship. The single-equation residual approach was introduced by Engle and Granger (1987) and the system-based rank approach by Johansen (1988).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).The Granger causality test, introduced by Clive W. J. Granger in 1969, assesses whether the past values of one time series help predict another beyond what the latter's own past already explains. It defines causality in a strictly predictive sense rather than as a structural or physical cause.
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ScholarGateСравнение методов: Cointegration Test · ARIMA · Granger Causality. Получено 2026-06-18 из https://scholargate.app/ru/compare