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Pbkp_redictive approach to commercial cbkp_redit risk in ecuadorian food companies

Abstract:

This article aimed to analyze the probability of commercial cbkp_redit 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 cbkp_redit 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 pbkp_redictive approximation of the cbkp_redit risk of food companies, and a contribution to the discussion in business, academic, and scientific spaces.