Abstract
Describes a practical method for asset allocation that is more robust to estimation errors than the traditional implementation of mean-variance optimization with sample means and covariances. The Bayesian inspired Black-Litterman model is described after introducing the intuition of the Bayesian approach to inference in a univariate setting.
Keywords: Asset Management;
Investment Portfolio;
Mathematical Methods;