  We describe a procedure to perform approximate inference on the achieved
signal-noise ratio of the Markowitz Portfolio under Gaussian i.i.d. returns.
The procedure relies on a statistic similar to the Sharpe Ratio Information
Criterion. Testing indicates the procedure is somewhat conservative, but
otherwise works well for reasonable values of sample and asset universe sizes.
We adapt the procedure to deal with generalizations of the portfolio
optimization problem.
