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Jan 31, 2017 at 14:17 comment added Stefan Voigt Did you consider using a framework such as Black-Littermann which allows you to enforce a certain relaxation of the estimates given your data? I am not sure if you get your question correctly, so I hesitate to write a full answer: Is your concern that a crisis periods leaves you with unreasonable estimates (for example variances way to big), and you want to ensure that your weights reflect that these estimates are probably not valid anymore?
Jan 26, 2017 at 20:18 comment added nbbo2 For covariance two years is a reasonable period. But for estimating returns 2 years is far too short, the resulting estimated are too variable. You should use much more data, say 2 decades, for returns, or other methods of estimation.
Jan 26, 2017 at 18:21 comment added WJA Yes indeed. Simply a rolling window of 2 years. Thats why the weights are not proper when estimating them using a period of stress for a non-stress period.
Jan 26, 2017 at 18:17 comment added nbbo2 Just so I understand, you are using the most recent two years of data to estimate both the covariance matrix and the expected returns?
Jan 26, 2017 at 12:01 history asked WJA CC BY-SA 3.0