We are trying to predict values of variable A having N other variables. What we do, we calculate Pearson correlation between A and each of the other N variables, for last M values, using fixed M. We use variable with largest correlation coefficient as predictor.
This scheme works fine when analyzing N variables during 24 month and decreasing between month 25-36.
What could come as improvement of Pearson correlation in this context?
Variables are bi-valued.