Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286142 
Title (translated): 
Modeling of insolvency risk in health sector companies using logit models
Year of Publication: 
2018
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 26 [Year:] 2018 [Pages:] 128-145
Publisher: 
Universidad Pablo de Olavide, Sevilla
Abstract (Translated): 
This article shows the prediction of the level of insolvency in companies that are not listed on the stock exchange belonging to the health sector for one and two years in advance, using the multiple logistic regression analysis based on indicators of liquidity, indebtedness, financial structure and profitability. The period 2010-2013 is taken as a reference for a sample of 3,930 companies categorized by size (large, medium, small and micro) and classified by their level of high, medium and low insolvency risk. The success results of the models are between 70% and 80% for each of the years, validating the results obtained throughout the study.
Subjects: 
Insolvency
logit models
financial indicators
JEL: 
G33
C19
M40
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

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