Modeling conditional covariance for mixed-asset portfolios

This paper studies the issue of modeling conditional covariance for a mixed-asset portfolio consisting of stock, bond, and REITs. We examine the performances of six commonly used covariance estimators. We find that no single estimator delivers the best performance when a wide range of statistical and economic criteria are considered. The optimal estimator to use is found to depend on the evaluation criterion under consideration.