Forecasting statistical estimates when data gets real

This is my third post in a series about optimisation and fitting. In my previous post I used random data to calibrate and evaluate many portfolio optimisation techniques. It's worth quoting in full from that post: Random data is not real data: Well duh. But why is this important? Because random data is drawn from a fixed and well behaved distribution. This means the optimiser only has to discover…