Qualitative Induction Trees applied to the study of the financial rating

Authors:
Llorenç Roselló;Núria Agell;Mónica Sánchez;Francesc Prats
Affiliations:
Departament de Matemàtica Aplicada II -Universitat Politència de Catalunya;ESADE-Universitat Ramon Llull;Departament de Matemàtica Aplicada II -Universitat Politència de Catalunya;Departament de Matemàtica Aplicada II -Universitat Politència de Catalunya
Venue:
Proceedings of the 2006 conference on Artificial Intelligence Research and Development
Year:
2006

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Abstract

In this work the Qualitative Induction Trees and the algorithm QUIN are described to construct them. It is justified its suitability for the prediction of the rating of the companies. Predicting the rating of a company requires a thorough knowledge of the ratios and values that indicate the company's situation and, also, a deep understanding of the relationships between them and the main factors that can modify these values. In this paper are given concrete examples of application in the prediction of the variation of the rating, analyzing on one hand which is this variation and on the other hand explaining which are the more influent variables in this change.