Phil DeMuth_

Global Giants and Diversifiers To Supercharge a Portfolio

Hi Roger -- You'll get no argument from me here, I love charts. Perhaps Geoff will put this idea in the hopper for QPP version 5.0. In the mean time, if you have QPP, you can enter the tickers and date ranges and do the analysis yourself.

Imagine that the 25%ile rank showed a loss of 1%. Then, a year later, the portfolio is down 1%. Is that a successful prediction? Perhaps. It would take a lot of samples to confirm -- you are likely to run out of lifetime before you accumulate enough data points, and by then it will be too late anyway.

So it's really the tails that are of interest, and why the past few months are so relevant to examine here. Since the whole thing is based on the currently unfashionable but nevertheless highly relevant normal distribution curve, all the information (Mean - 2SDs, for example) is really contained in the tail values. Unless I'm mistaken, the shape of the chart in every case would be a standard curve.

The issue of how to graphically present the risk/return tradeoffs in the most compelling way is one I often think about. For clients, I might present it as median expected return vs. 1 percentile loss at different equity allocations. I think this is more communicative than just mean vs. standard deviation.