Modeling and Management of Power Supply Enterprises’ Cash Flows

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...

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Main Authors: Darya Pyatkina, Tamara Shcherbina, Vadim Samusenkov, Irina Razinkina, Mariusz Sroka
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/4/1181
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author Darya Pyatkina
Tamara Shcherbina
Vadim Samusenkov
Irina Razinkina
Mariusz Sroka
author_facet Darya Pyatkina
Tamara Shcherbina
Vadim Samusenkov
Irina Razinkina
Mariusz Sroka
author_sort Darya Pyatkina
collection DOAJ
description 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.
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spelling doaj.art-4e800629bbc94b84bbcb5354965dc7002023-12-11T18:03:32ZengMDPI AGEnergies1996-10732021-02-01144118110.3390/en14041181Modeling and Management of Power Supply Enterprises’ Cash FlowsDarya Pyatkina0Tamara Shcherbina1Vadim Samusenkov2Irina Razinkina3Mariusz Sroka4Department of Applied Informatics and Probability Theory, Peoples’ Friendship University of Russia (RUDN University), 117198 Moscow, RussiaDepartment of Corporate Finance and Corporate Governance, Financial University under the Government of the Russian Federation, 115583 Moscow, RussiaDepartment of Prosthetic Dentistry, The State Education Institution of Higher Professional Training, I.M Sechenov First Moscow State Medical University, 119991 Moscow, RussiaDepartment of Management and Innovation, Financial University under the Government of the Russian Federation, 115583 Moscow, RussiaFaculty of Management, Technical University of Czestochowa, 42-201 Czestochowa, PolandThe 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.https://www.mdpi.com/1996-1073/14/4/1181forecastinglinear regressionplanningpolynomial regressionpower supply
spellingShingle Darya Pyatkina
Tamara Shcherbina
Vadim Samusenkov
Irina Razinkina
Mariusz Sroka
Modeling and Management of Power Supply Enterprises’ Cash Flows
Energies
forecasting
linear regression
planning
polynomial regression
power supply
title Modeling and Management of Power Supply Enterprises’ Cash Flows
title_full Modeling and Management of Power Supply Enterprises’ Cash Flows
title_fullStr Modeling and Management of Power Supply Enterprises’ Cash Flows
title_full_unstemmed Modeling and Management of Power Supply Enterprises’ Cash Flows
title_short Modeling and Management of Power Supply Enterprises’ Cash Flows
title_sort modeling and management of power supply enterprises cash flows
topic forecasting
linear regression
planning
polynomial regression
power supply
url https://www.mdpi.com/1996-1073/14/4/1181
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AT tamarashcherbina modelingandmanagementofpowersupplyenterprisescashflows
AT vadimsamusenkov modelingandmanagementofpowersupplyenterprisescashflows
AT irinarazinkina modelingandmanagementofpowersupplyenterprisescashflows
AT mariuszsroka modelingandmanagementofpowersupplyenterprisescashflows