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Comphrensive Analysis of a Company's Activity by Means of Statistical Modeling as Support for its Decision-Making System

Author

Listed:
  • Soboń Janusz

    (AJP w Gorzowie Wielkopolskim, Poland)

  • Burkina Natalia

    (Donetsk National University after V. Stus, Ukraine)

  • Sapun Kostiantyn

    (Varna Free University, Bulgaria)

  • Seleznova Ruslana

    (Taras Shevchenko Kiev National University, Ukraine.)

Abstract

An important role in ensuring effective forms of management and increasing competitiveness is played by the process of forecasting the activity of the enterprise. This work analyzed the performance of a food industry enterprise, for which a wide range of statistical methods were applied such as methods of cluster, correlational and regression analysis, statistical tests of Fisher, Student, Farrar-Glauber, Durbin-Watson, Goldfeld-Quandt, μ-criterion, multifactor regression, trend, auto-regression models, and models of seasonal fluctuations, which provided a view of the economic properties of the enterprise profit process, in particular the auto-regression component of revenue dependence on its value last year, seasonal quarterly dependence on sales and marketing costs, product price, etc. The detected patterns will allow us to take into account these features for forecasting future revenues and for adjusting the enterprise’s decision-making system taking into account seasonal features and results of the previous year.

Suggested Citation

  • Soboń Janusz & Burkina Natalia & Sapun Kostiantyn & Seleznova Ruslana, 2021. "Comphrensive Analysis of a Company's Activity by Means of Statistical Modeling as Support for its Decision-Making System," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 17(1), pages 62-69, March.
    • Handle: RePEc:vrs:finiqu:v:17:y:2021:i:1:p:62-69:n:2
    DOI: 10.2478/fiqf-2021-0007
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    More about this item

    Keywords

    multifactor regression; forecasting revenue; correlational and regression analysis;
    All these keywords.

    JEL classification:

    • A1 - General Economics and Teaching - - General Economics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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