AN ANALYSIS OF MONTHLY EFFECTS IN THE SPANISH STOCK MARKET USING ARTIFICIAL NEURAL NETWORKS

Abstract

This paper presents an analysis of the monthly effects in the Spanish index IBEX-35. Alternatively to other approaches, this work uses a kind of artificial neural networks, the Self Organizing Maps, in order to detect significant differences in the behaviour of the value of the IBEX-35 due to a particular month.