Self Organized Features Maps SOFM and Hybrid Neuro-Genetic SOFMs in Optimal Portfolio Management

We investigate the optimal performance of Self Organized Feature Maps in 60 different models of plain and hybrid form to define the optimal classifier. We also apply it on a novel model of optimal portfolio selection in hedging aspects.