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

Translated title of the contribution: Modeling of insolvency risk in health sector companies using logit models

Armando Lenin Támara Ayús, Gladis Cecilia Villegas, María Cristina Leones Castro, Juan Antonio Salazar Bocanegra

Research output: Contribution to journalArticlepeer-review

Abstract

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 pro_tability. 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.

Translated title of the contributionModeling of insolvency risk in health sector companies using logit models
Original languageSpanish
Pages (from-to)128-145
Number of pages18
JournalRevista de Metodos Cuantitativos para la Economia y la Empresa
Volume26
StatePublished - 1 Jan 2018

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