Investment performance evaluation is one of the pillars of finance and its techniques have refined throughout the years. This work focuses on the evaluation of the investment performance achieved through a top-down investment strategy analyzed using the Brinson model: a set of techniques that...

The design of financial trading systems (FTSs) is a subject of high interest both for the academic environment and for the professional one due to the promises by machine learning methodologies. In this paper we consider the Reinforcement Learning-based policy evaluation approach known as...

Several empirical studies have shown the inadequacy of the standard Brownian motion (sBm) as a model of asset returns. To correct for this evidence some authors have conjectured that asset returns may be independently and identically Pareto-Levy stable (PLs) distributed, whereas others have...