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Titulo |
A Global Model for Bankruptcy Prediction. |
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Autoría |
Alaminos D, Del Castillo A, Fernández MÁ. |
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Fuente |
PLoS One. 2016 Nov 23;11(11):e0166693. doi: 10.1371/journal.pone.0166693. |
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Resumen |
The recent world financial crisis has increased the number of bankruptcies in numerous countries and has resulted in a new area of research which responds to the need to predict this phenomenon, not only at the level of individual countries, but also at a global level, offering explanations of the common characteristics shared by the affected companies. Nevertheless, few studies focus on the prediction of bankruptcies globally. In order to compensate for this lack of empirical literature, this study has used a methodological framework of logistic regression to construct predictive bankruptcy models for Asia, Europe and America, and other global models for the whole world. The objective is to construct a global model with a high capacity for predicting bankruptcy in any region of the world. The results obtained have allowed us to confirm the superiority of the global model in comparison to regional models over periods of up to three years prior to bankruptcy. |
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URL |
www.ncbi.nlm.nih.gov/pubmed/27880810 |
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Tipo de documento |
Artículo cientifico |
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Impacto en el sistema sanitario |
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Impacto en la salud |
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