Análisis Financiero Histérico-Prospectivo de La Cooperativa de Telecomunicaciones Sucre (COTES Ltda) 2016-2022
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Investigación y Negocios
Abstract
El propósito de este estudio es el de proporcionar información sobre el estado de solvencia de COTES Ltda, el alcance del estudio es descriptivo y pertenece al tipo de diseño de estudios de caso, como se comprueba en su desarrollo se ha probado la hipótesis de que COTES Ltda corre el riesgo de ser insolvente en un futuro proyectado de seis años. Para alcanzar los objetivos del estudio se procedió al uso de información contable histórica de la empresa para realizar proyecciones estadísticas usando varios modelos de pronóstico. Lográndose obtener estados financieros proyectados, los cuales fueron la materia prima para crear razones financieras aplicadas a modelos de predicción de quiebra.
The purpose of this study is to provide information of COTES Ltda state of solvency, the reach of the study is descriptive and it belongs to the case studies type of design, as is tested in its development the hypothesis that COTES Ltda runs the risk of being insolvent in a six year-old projected future has been proven. To reach the objectives of the study it was proceeded to use historical countable information of the company to carry out statistical projections using several presage models. Achieving to obtain projected financial states, which were the matter prevail to create financial reasons in applied models of crash prediction.
The purpose of this study is to provide information of COTES Ltda state of solvency, the reach of the study is descriptive and it belongs to the case studies type of design, as is tested in its development the hypothesis that COTES Ltda runs the risk of being insolvent in a six year-old projected future has been proven. To reach the objectives of the study it was proceeded to use historical countable information of the company to carry out statistical projections using several presage models. Achieving to obtain projected financial states, which were the matter prevail to create financial reasons in applied models of crash prediction.
Description
Vol. 10, No. 15