Cross Correlation Calculator

About this calculator

Cross-correlation measures how well two time series match up when one is shifted relative to the other by a chosen number of steps, or lag. This calculator computes the Pearson correlation coefficient between series X and a lagged version of series Y, testing whether values in one series tend to predict values in the other after accounting for a delay between them.

Signal processing engineers use cross-correlation to detect time delays between related signals (such as an echo or a sensor offset), while economists and time-series analysts use it to find lead-lag relationships between related data — for example, whether a change in one economic indicator tends to precede a change in another by a certain number of periods.