Predictive approach to commercial credit risk in ecuadorian food companies
Abstract:
This article aimed to analyze the probability of commercial credit risk of 650 Ecuadorian companies in the food sector, through inferential statistical analysis and implementation of a logistic regression model. In effect, three hypotheses were converged, indicating that liquidity, size, and location of the company influence the probability of credit risk. The results of the model significantly showed that companies located in the Sierra, large in size, and with high liquidity are those with the highest probability of risk. These derivations provide a predictive approximation of the credit risk of food companies, and a contribution to the discussion in business, academic, and scientific spaces.
Año de publicación:
2021
Keywords:
- Logit
- Cbkp_redit portfolio
- Food sector
- Cbkp_redit risk
Fuente:


Tipo de documento:
Article
Estado:
Acceso abierto
Áreas de conocimiento:
- Gestión de riesgos
- Finanzas
Áreas temáticas de Dewey:
- Producción
- Economía financiera
- Contabilidad

Objetivos de Desarrollo Sostenible:
- ODS 8: Trabajo decente y crecimiento económico
- ODS 12: Producción y consumo responsables
- ODS 9: Industria, innovación e infraestructura
