Nonlinear regression models of lending banks of the Republic of Belarus enterprises small and medium businesses for the period 2016−2022

The article provides a statistical analysis of the volume of loans issued by Belarusian banks to small and medium-sized businesses depending on the refinancing rate of the National Bank of the Republic of Belarus from 2016 to 2022. inclusive. Four nonlinear regression lending models are constructed: power, exponential, logarithmic and parabolic. Analysis of the considered regression models shows that the parabolic regression model best describes the process of lending by Belarusian banks to small and medium-sized businesses. The law of demand for bank credit resources for small and medium-sized businesses is formulated depending on the average annual refinancing rate of the National Bank of the Republic of Belarus.