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Assessing Profit Risk Prognosis in Industrial Enterprises

Author

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  • Evgeny L. Pankratov

Abstract

Purpose: This paper introduces a model for forecasting the profit of industrial enterprises. The model accounts for the increase in the quantity of manufactured products and various expenses such as raw material purchase costs and transportation costs. Design/Methodology/Approach: The model allows for the forecasting of industrial enterprise profits by considering the increase in manufactured product quantities and various expenses. An analytical approach is introduced to analyze the impact of changes in various parameters on the profit of industrial enterprises. Findings: The model provides a method to forecast the profit of industrial enterprises by accounting for the increase in manufactured product quantities and various expenses such as raw material purchase costs and transportation costs. Practical Implications: The model offers practical tools for forecasting the profit of industrial enterprises by considering the increase in manufactured product quantities and various expenses, thereby aiding in financial planning and risk management. Originality/Value: The originality and value of this research lie in its ability to forecast the profit of industrial enterprises by accounting for increases in manufactured product quantities and various expenses. Additionally, it introduces an analytical approach to analyze the impact of changing various parameters on the profit of industrial enterprises.

Suggested Citation

  • Evgeny L. Pankratov, 2024. "Assessing Profit Risk Prognosis in Industrial Enterprises," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 132-140.
    • Handle: RePEc:ers:ijebaa:v:xii:y:2024:i:2:p:132-140
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    References listed on IDEAS

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    1. E.L. Pankratov, 2023. "A Model for Estimating the Risk of Profit Loss in Industrial Enterprises," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 64-72.
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      More about this item

      Keywords

      Profit forecasting of industrial enterprises; minimization of profit risk.;

      JEL classification:

      • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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