Modelación del riesgo de insolvencia en empresas del sector salud empleando modelos logit

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...

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Veröffentlicht in:	Revista de métodos cuantitativos para la economía y la empresa 2018, Vol.26, p.128-145
Hauptverfasser:	Támara Ayús, Armando Lenin, Villegas, Gladis Cecilia, Leones Castro, María Cristina, Salazar Bocanegra, Juan Antonio
Format:	Artikel
Sprache:	spa
Schlagworte:	financial indicators Insolvency logit models
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creator	Támara Ayús, Armando Lenin Villegas, Gladis Cecilia Leones Castro, María Cristina Salazar Bocanegra, Juan Antonio
description	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.
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source	DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects	financial indicators Insolvency logit models
title	Modelación del riesgo de insolvencia en empresas del sector salud empleando modelos logit
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