ECONOMIC AND MATHEMATICAL MODELING TO ANALYZE THE EFFICIENCY OF FINANCIAL RESOURCES OF ENTERPRISE
Journal: International scientific journal "Internauka." Series: "Economic Sciences" (Vol.2, No. 36)Publication Date: 2020-04-30
Authors : Vivchar Oleksandra; Kravchuk Polina;
Page : 103-108
Keywords : Financial resources; economic and mathematical models; estimation; econometric modeling; efficiency; capital of the company;
Abstract
The article highlights the features of formation, distribution and use of financial resources of the enterprise, in article showing the results of econometric modeling evaluation of the equity business. The aim of the article is to study the influence of management processes and the use of enterprise financial resources on changing financial ratios, on the financial condition, by constructing an economic and mathematical model. Based on the activities of the enterprise, an economic and mathematical model is constructed that describes the efficiency of using the financial resources of the enterprise. Using the information that is available in the financial statements, the initial data were calculated to build an economic and mathematical model. To calculate the coefficients of the system, the Microsoft Excel analysis software package was used. Using this program, the correlation coefficient was calculated and the adequacy of the model was evaluated. The model was evaluated and numerical values of the influence of parameters on the coefficients characterizing the quality of formation and management of the enterprise's capital were found. Based on the analysis of the system of equations of the model, conclusions are drawn about the adequacy of the constructed model. The results of applying economic and mathematical modeling to study the formation of an enterprise's financial resources have the following practical advantages: using the enterprise's initial information, according to the financial statements, helps to form a database, ensures the reality of the results; increase the effectiveness of managerial decisions, using the diagnoses obtained from the use of the model.
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