Resumo

GARCIA SALGADO, Oswaldo  e  MORALES CASTRO, Arturo. FINANCIAL PERFORMANCE OF FIRMS: A PROPOSAL FOR CLASSIFICATION RNA. Dimens.empres. [online]. 2016, vol.14, n.2, pp.11-23. ISSN 1692-8563.  https://doi.org/10.15665/rde.v14i2.686.

By using artificial neural networks [ANN] it was proposed to improve the accuracy of classification of companies within the Bolsa Mexicana de Valores [BMV], specifically the commercial sector compared to multiple discriminant analysis techniques [MDA] and logit models. More than fifty neural architectures were developed, and artificial neural network that resulted was the MLP architecture 6: 12: 2 based learning algorithms retro-backpropagation. The results found with the technique [ANN] showed that this technique has a better prognosis assessment and classification obtained by ADM and logit techniques.

Palavras-chave : Financial Markets; Financial Performance; logit model; ADM Techniques; Artificial Neural Networks.

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