Qualitative induction trees applied to the study of the financial rating

Núria Agell Jané, Francesc Prats Duaygues, Llorenç Roselló Saurí, Mònica Sánchez Soler

Producción científica: Capítulo del libroCapítulo

Resumen

In this work the Qualitative Induction Trees and the algorithm QUIN are described. It is justified its suitability for predicting finantial rating. 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, some specific analysis related to the variation of the rating is given. On the one hand, it is analyzed this variation, and on the other hand there are explained which are the more influent variables in this change.
Idioma originalInglés
Título de la publicación alojadaRecent advances in artificial intelligence research and development
Páginas63-70
EstadoPublicada - 1 oct 2006

Huella

Profundice en los temas de investigación de 'Qualitative induction trees applied to the study of the financial rating'. En conjunto forman una huella única.

Citar esto