Forecast value of profit before tax of JSC Regional Electric Networks by modern analysis techniques

In this research paper has been calculated forecast value of profit before tax of JSC Regional Electric Networks by modern analysis techniques. Actually, the ARIMA autocorrelation model was used to examine JSC Regional Electric Networks' profit indicators for the 2019–2023 period in order to provide a more thorough examination of the financial and economic operations. This model was selected for two reasons. Firstly, the balance sheet indicators of the company cannot be regarded as exogenous with respect to its profit; therefore, it would be inappropriate to choose a more accurate VAR model, such as vector autoregression, in this situation. Second, multicollinearity when using factors of accounts receivable and payable, revenue and cost indicators, and enterprise data makes it appear impossible to use a multiple regression model, which would have allowed for the factorization of JSC Regional Electric Networks' profit indicator.