Qualitative induction trees applied to the study of the financial rating:

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

Qualitative induction trees applied to the study of the financial rating

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

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Producció científica: Capítol de llibre › Capítol

Resum

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 original	Anglès
Títol de la publicació	Recent advances in artificial intelligence research and development
Pàgines	63-70
Estat de la publicació	Publicada - 1 d’oct. 2006

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title = "Qualitative induction trees applied to the study of the financial rating",

abstract = "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.",

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T1 - Qualitative induction trees applied to the study of the financial rating

AU - Agell Jané, Núria

AU - Prats Duaygues, Francesc

AU - Roselló Saurí, Llorenç

AU - Sánchez Soler, Mònica

PY - 2006/10/1

Y1 - 2006/10/1

N2 - 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.

AB - 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.

M3 - Chapter

SN - 978-1-58603-663-8

SP - 63

EP - 70

BT - Recent advances in artificial intelligence research and development

ER -

Qualitative induction trees applied to the study of the financial rating

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