Capital Preferences has conducted extensive empirical testing on the optimal number of scenarios to include, which should both maximise explanatory power (i.e., precision) of the risk parameters, while also minimising the burden and effort placed on clients (i.e., 25 scenarios is very tiring and repetitive for clients!).  From this testing, and from advanced statistical analysis, Capital Preferences has determined that six scenarios provide the optimal result that balance these two objectives.  Further, we know specifically which six scenarios–and the order of those scenarios– deliver the greatest explanatory power, which lets us have a high degree of confidence in the results.