| Título: | Which characteristics predict the survival of insolvent firms? An SME reorganization prediction model |
| Autores: | Camacho Miñano, María del Mar ; Segovia Vargas, María Jesús ; Pascual Ezama, David |
| Tipo de documento: | texto impreso |
| Editorial: | International Council for Small Business, 2015-04 |
| Dimensiones: | application/pdf |
| Nota general: | info:eu-repo/semantics/restrictedAccess |
| Idiomas: | |
| Palabras clave: | Estado = Publicado , Materia = Ciencias: Informática: Inteligencia artificial , Materia = Ciencias Sociales: Economía: Crisis económicas , Materia = Ciencias Sociales: Economía: Empresas , Tipo = Artículo |
| Resumen: | The negative impact of insolvency, especially in small and medium enterprises, informs the objective of this paper: to study the characteristics of bankrupt firms to achieve a preventive diagnosis for reorganization by means of artificial intelligence (AI) methodologies such as rough set and PART methods. The AI models obtained show not only the key variables to predict insolvency, but also their relations and the critical values. Using only five firm characteristics (sector, size, number of shareholdings, return on assets, and cash ratio), our model could reduce delays and costs, since it is able to predict which firms will undergo reorganization or liquidation before the legal procedure. |
| En línea: | https://eprints.ucm.es/id/eprint/61923/1/Camacho-Mi%C3%B1ano%2C%20M.M.%2C%20Segovia%20Vargas%2C%20M.J.%2C%20Pascual-Ezama%2C%20D.%20Which%20characteristics%20predict%20the%20survival%20of%20insolvent%20firms.%20An%20SME%20reorganization%20Prediction%20model.pdf |
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