Similarity-Based Grouping of a Universe of Securities
Securities can be classified in multiple ways. One of the most common ways to classify securities is using Morningstar’s label system. For instance a fund can be Large-Value or Small-Growth. However, these systems have inherit limitations that makes it hard to properly maximize diversification in the selection of a portfolio. In this thesis, we present a method to classify securities that allows f