Can time series be correlated using the cross-correlation method?

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Yes, time series can be correlated using the cross-correlation method. The cross-correlation function measures the similarity between two time series at different time lags. It shows how much one series is related to another series, and can be used to identify the lag at which the two series are most highly correlated, as well as the strength and direction of the correlation. Cross-correlation is commonly used in signal processing, econometrics, and other fields to analyze time series data.