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Article

Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation

1
Department of Finance, Plekhanov Russian University of Economics, 117997 Moscow, Russia
2
Department of Finance, Belgorod National Research University, 308015 Belgorod, Russia
3
Department of Computer Software, Platov South Russian State Polytechnic University (NPI), 346428 Novocherkassk, Russia
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Department of Organization of Medical Provision and Pharmacoeconomics, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
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Department of Finance, Financial University under the Government of the Russian Federation, 105064 Moscow, Russia
*
Author to whom correspondence should be addressed.
J. Open Innov. Technol. Mark. Complex. 2021, 7(1), 79; https://0-doi-org.brum.beds.ac.uk/10.3390/joitmc7010079
Received: 18 January 2021 / Revised: 24 February 2021 / Accepted: 25 February 2021 / Published: 1 March 2021
(This article belongs to the Special Issue Financial Open Innovations for Sustainable Economic Growth)
The article develops economic and mathematical models as a tool for conducting factor financial analysis of the prospects for the development of an industrial enterprise. The functioning of the developed economic and mathematical models is based on the DuPont model, which allows analyzing the dynamics of the company’s profitability in the course of two-factor and three-factor financial analysis. The proposed model tools are based on the convergence of deterministic financial analysis methods embedded in the DuPont model and simulation methods that allow analysis under the influence of random factors. The constructed economic and mathematical models for forecasting profitability use the company’s retrospective data on its financial condition: the amount of profit, revenue, assets, and equity. The constructed simulation models are implemented in the OMEGA software product and included in the computer technology for predicting the profitability of an industrial enterprise. The architecture of the proposed tools is presented, and the results of simulation experiments performed on models are demonstrated. View Full-Text
Keywords: financial analysis; DuPont model; simulation models; computer technology financial analysis; DuPont model; simulation models; computer technology
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MDPI and ACS Style

Borodin, A.; Mityushina, I.; Streltsova, E.; Kulikov, A.; Yakovenko, I.; Namitulina, A. Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation. J. Open Innov. Technol. Mark. Complex. 2021, 7, 79. https://0-doi-org.brum.beds.ac.uk/10.3390/joitmc7010079

AMA Style

Borodin A, Mityushina I, Streltsova E, Kulikov A, Yakovenko I, Namitulina A. Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7(1):79. https://0-doi-org.brum.beds.ac.uk/10.3390/joitmc7010079

Chicago/Turabian Style

Borodin, Alex, Irina Mityushina, Elena Streltsova, Andrey Kulikov, Irina Yakovenko, and Anzhela Namitulina. 2021. "Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation" Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1: 79. https://0-doi-org.brum.beds.ac.uk/10.3390/joitmc7010079

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