A Linear Programming Model for Enhanced Indexation based on Strong Stochastic Dominance

In this work, we propose a linear programming model for enhanced indexation that selects an optimal portfolio according to a generalization of strong stochastic dominance. Since our model has an exponential number of constraints, we solve it through a constraint generation procedure. Results are presented for well-known financial data sets showing good out-of-sample performance of our model