Let Financial Data Speak for Themselves

Abstract

Carlos Serrano-Cinca of the University of Zaragoza in Spain discusses five different applications of unsupervised neural networks and self-organizing maps (SOM) using financial data: (i) analysis of financial statements and information for the formulation of corporate strategy; (ii) visual diagnosis of the financial situation of companies; (iii) establishment of bond ratings; (iv) analysis of the economic convergence of European countries using macro-economic indicators; and (v) self-organizing maps as decision support systems. The wide variety of financial applications presented by Carlos Serrano-Cinca shows that SOM is an important tool for initial data analysis.