<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Donetsk National University after V. Stus

Taras Shevchenko Kiev National University

Financial Internet Quarterly

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

An important role in ensuring effective forms of management and increasing competitiveness is played by the process of forecasting the activity of the...

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

Online veröffentlicht: 31. März 2021

Seitenbereich: 62 - 69

Eingereicht: 14. Jan. 2021

Akzeptiert: 20. März 2021

DOI: https://doi.org/10.2478/fiqf-2021-0007

Schlüsselwörter
multifactor regression, forecasting revenue, correlational and regression analysis

© 2021 Janusz Soboń et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Online veröffentlicht: 31. März 2021

Seitenbereich: 62 - 69

Eingereicht: 14. Jan. 2021

Akzeptiert: 20. März 2021

DOI: https://doi.org/10.2478/fiqf-2021-0007

Schlüsselwörtermultifactor regression, forecasting revenue, correlational and regression analysis

© 2021 Janusz Soboń et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
multifactor regression, forecasting revenue, correlational and regression analysis