Thinking about tracking hurricane Henri on the eastern seaboard of the US today and wondering how the National Weather Service comes up with THE predicted path of the storm? As it turns out, they rely on ensemble methods and apply them to several computer generated forecasts to come up with their high conviction forecast - which by the way, is hardly ever wrong.

As it turns out, this is exactly the same methodology Mr. Panchekha and his highly-capable mathematics team at Turing use. They rely on a client to chose a group of well-performing portfolio managers, determine where there is significant overlap of these PM’s high-conviction over weights, track these HCOs daily if necessary, and construct and manage a portfolio that is more likely to outperform each individual PM and their benchmark.

In theory, this makes perfect sense to me and they have the actual results in practice to prove it.