Windham Technology Solutions™ provides portfolio optimization tools that enables users to optimize their portfolios using a variety of parametric techniques, including traditional mean-variance, mean-tracking error, and mean-variance-tracking error.

Portfolios can also be constructed by using a full-scale optimization technique, which identifies the optimal portfolio by examining a sufficiently large set of asset combinations. Full-scale optimization accommodates a wider range of investor preferences and return distributions than mean-variance optimization. It is especially suitable for assets with non-normal return distributions, which is common for assets such as hedge funds, private equity, and commodities.

To read more about Windham’s portfolio optimization software, please click here.