Tamaño y su efecto sobre la solvencia de las empresas del sector comercial en el Ecuador, periodo 2015 - 2020

Abstract

Abstract: The solvency of commercial companies is important to consider as it guarantees their ability to meet long-term financial obligations, maintain investor confidence, and ensure operational continuity in different periods. The objective of this research is to use multiple linear regression models through Stata software, and in this way, establish the correlation between dependent variables (asset indebtedness, equity indebtedness, interest coverage, and current liquidity) and independent variables (logarithm of assets, ROA, and logarithm of revenues) of commercial companies. The study was conducted using a sample of the 300 most important companies in the commercial sector of Ecuador, using correlation and multiple linear regression, which has allowed for the analysis of the relationship between the size of a commercial company and its solvency. The results show that the correlation between the variables is weak (tending to 0), and through the analysis of multiple linear regression, it was determined that the independent variables significantly influence most of the dependent variables (asset indebtedness, equity indebtedness, and current liquidity). Finally, it is considered that the size of the company is not the only factor that influences solvency since there may be additional variables such as management efficiency and economic conditions that must be taken into account for a comprehensive evaluation of the solvency of a commercial company.