Improving cross-correlation tests through re-sampling techniques

In this paper, we show that type I and type II errors of the cross-correlation test between two autocorrelated time series can be reduced, in some cases, by means of tabulation of the empirical distribution of the sample cross-correlation coefficient, using alternative re-sampling techniques.