LAPSE:2023.29849
Published Article
LAPSE:2023.29849
Modeling and Management of Power Supply Enterprises’ Cash Flows
Darya Pyatkina, Tamara Shcherbina, Vadim Samusenkov, Irina Razinkina, Mariusz Sroka
April 14, 2023
The purpose of the study is to assess the efficiency of cash flow management at power supply companies of the CIS (Commonwealth of Independent States) countries. A methodological approach to cash flow forecasting with the use of linear and polynomial regression has been developed. The study is based on the data provided by 12 power supply companies operating in CIS member countries. Forecasting based on the generated polynomial models of multiple regression of cash flow for the power supply companies under study confirms the strong possibility of extrapolating the studied trends to future periods. Compared to the linear model, the polynomial one confirms higher values of the determination coefficients for the majority of power supply companies. The projected volumes of cash inflow, cash outflow, and net cash flows of power supply companies with the application of the described polynomial multiple regression models have a fairly high degree of approximation. The correlations between operating cash flows and outflows, between total cash inflow and outflow of the majority of power supply companies are high. The low level of synchronization between cash inflows and outflows of the companies under study is associated with the specifics of their financial and investment activities and the cash flow management policy. It has been proven that energy enterprises’ financial stability significantly depends on the synchronization and uniformity of cash flows. The proposed methodological approach allows identifying enterprises by the criterion of riskiness from the standpoint of the synchronization and homogeneity of their cash flows.
Keywords
forecasting, linear regression, Planning, polynomial regression, power supply
Suggested Citation
Pyatkina D, Shcherbina T, Samusenkov V, Razinkina I, Sroka M. Modeling and Management of Power Supply Enterprises’ Cash Flows. (2023). LAPSE:2023.29849
Author Affiliations
Pyatkina D: Department of Applied Informatics and Probability Theory, Peoples’ Friendship University of Russia (RUDN University), 117198 Moscow, Russia; Department of Data Analysis and Machine Learning, Financial University under Government of the Russian Federatio
Shcherbina T: Department of Corporate Finance and Corporate Governance, Financial University under the Government of the Russian Federation, 115583 Moscow, Russia
Samusenkov V: Department of Prosthetic Dentistry, The State Education Institution of Higher Professional Training, I.M Sechenov First Moscow State Medical University, 119991 Moscow, Russia
Razinkina I: Department of Management and Innovation, Financial University under the Government of the Russian Federation, 115583 Moscow, Russia
Sroka M: Faculty of Management, Technical University of Czestochowa, 42-201 Czestochowa, Poland
Journal Name
Energies
Volume
14
Issue
4
First Page
1181
Year
2021
Publication Date
2021-02-23
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14041181, Publication Type: Journal Article
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LAPSE:2023.29849
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doi:10.3390/en14041181
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Apr 14, 2023
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