Modelo de paridad de riesgo jerárquico : optimización de portafolio multiactivo

Abstract

When we make investments, one of the most relevant problems for investors is how to optimize their portfolio, finding the best possible combination of selected assets in terms of the return-risk ratio. The best-known method, which served as the basis for other models, is Markowitz's Mean Variance. However, some authors have pointed out that it presents stability and concentration issues in practical cases. In this study, it is implemented a practical case of the Hierarchical Risk Parity model by López de Prado. This relatively recent optimization model leverages the benefits of computer science to implement it in an international multi-asset portfolio and examine how this new model adjusts when applied to the stock market.