Cointegration tests are statistical methods used to determine whether two or more non-stationary time series are linked in such a way that they share a common long-term trend. If two series are cointegrated, it indicates that even though they may drift apart in the short run, they will not stray far from each other over the long run, which is crucial for understanding relationships in vector autoregression (VAR) models.
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