MECHANISMS OF ANALYSIS OF AGGREGATE FINANCIAL FLOWS FOR GROUPS AND INDIVIDUAL OF ECONOMIC ENTERPRISES
Zaitsev O.
Sumy, Ukraine
Shovkoplyas O.
Sumy, Ukraine
Pages: 65-73
Original language: Ukrainian
DOI: 10.21272/1817-9215.2020.2-7
The article examines the mechanisms of analysis of aggregate financial flows of economic entities. Analysis of the formation and movement of financial flows showed that, despite the widespread use of financial indicators in the analysis, today there is no integrated assessment of the state of financial flows of a group of economic entities that form the commodity-production subsystem (СPS). The authors propose to analyze the formation of financial flows using the structuring of financial flows and reflect their state within the СPS. This approach, as well as a number of financial indicators, takes into account data that assess flows by type of activity in their ratio.
At the stage of formation of the financial system of СPS, the relationship between the change in the results of the functioning of СPS-forming business entity and the efficiency of financial flows is established through a block of indicators. First, absolute, then relative, and then get integrated indicators. The calculation of relative indicators is based on the comparison of the obtained values with the normative ones, which are determined by a vector that reflects the directions (positive or negative) of changes in financial flows, based on a specific stage of development. The assessment of the formation of financial flows of СPS-forming economic entities is able to show the main sources of funding and identify the centres of consumption of finance within the СPS.
An autocorrelation model and an adaptive Brown model were used for prediction. In the first step, the characteristic regression method determines the best regression function - the most appropriate for the available values of financial flows for certain periods of time. The second step calculates the regression parameters using the least squares method. It is concluded that the constructed model is consistent with the experimental data.
The presented developments reflect the developed and proposed algorithm for analyzing the formation of financial flows of СPS-forming economic entities, which differs from existing approaches using not only financial indicators but also a block of indicators that characterize the ratio of financial flows. This allows to increase the objectivity of the assessment of financial flows in the process of economic system development
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