Before revision:  This relation provides information about the character of potential multifractality in cross-correlations of the processes under study and thus enables selective insight into their dynamics . Using also an example of financial time series from the stock market we show that waiting times and price increments of the companies are multifractally cross-correlated but only for relatively large fluctuations, whereas the small ones could be considered mutually independent .
After revision:  This relation provides information about the character of potential multifractality in cross-correlations of the processes under study and thus enables a deeper insight into dynamics of the analyzed processes than allowed by any other related method available so far. By using examples of time series from the stock market we show that waiting times and price increments of the companies are multifractally cross-correlated but only for relatively large fluctuations, whereas the small ones could be considered mutually independent .