Modelo administrativo financiero para optimizar la financiación en las compañías limitadas de Tungurahua

This paper addresses the application of a financial management model, based on linear regression, to optimize financing in limited companies in Tungurahua. The analysis of the model demonstrates a robust fit, where return on assets (ROA) explains a significant proportion of the variability in indebtedness with an R² of 0.828. This robustness in explaining financing fluctuations is crucial for strategic decision-making, validating the predictive potential of the model. The findings reveal a statistically significant inverse relationship between ROA and the level of indebtedness (p=0.000). This suggests that the higher the return on assets, the lower the dependence on external financing, a behavior that aligns with the theory of the financing hierarchy. Furthermore, the validation of the model's assumptions, such as the normality of the residuals, ensures the reliability of the inferences obtained. In summary, this financial management model provides a valuable tool for limited companies in Tungurahua to optimize their financing decisions. By understanding the dynamics between ROA and indebtedness, companies can design more efficient financial strategies by managing their capital structure in a way that promotes sustainability and growth in line with best corporate practices.