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 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 small fluctuations remain mutually independent even at maximum of such cross-correlations. Finally, we indicate possible utility of MFCCA to study effects of the time-lagged cross-correlations .