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An analysis of monthly effects in the spanish stock market using artificial neural networks

M. Teresa Sorrosal Forradellas. Rovira i Virgili University

Dídac Ramírez Sarrió. University of Barcelona


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.



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