Weighted fixed points in self-similar analysis of time series

The self-similar analysis of time series is generalized by introducing; the notion of scenario probabilities. This makes it possible to give a complet e statistical description for the forecast spectrum by defining the average forecast as a weighted fixed point and by calculating the corresponding a priori standard deviation and variance coefficient. Several examples of sto ck-market time series illustrate the method.