Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation
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 dynami...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-03-01
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| Series: | Journal of Open Innovation: Technology, Market and Complexity |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2199-8531/7/1/79 |
| _version_ | 1797426896956293120 |
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| author | Alex Borodin Irina Mityushina Elena Streltsova Andrey Kulikov Irina Yakovenko Anzhela Namitulina |
| author_facet | Alex Borodin Irina Mityushina Elena Streltsova Andrey Kulikov Irina Yakovenko Anzhela Namitulina |
| author_sort | Alex Borodin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T08:36:30Z |
| format | Article |
| id | doaj.art-f93859a6351046f2902f7ff7c9edf389 |
| institution | Directory Open Access Journal |
| issn | 2199-8531 |
| language | English |
| last_indexed | 2024-03-09T08:36:30Z |
| publishDate | 2021-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Open Innovation: Technology, Market and Complexity |
| spelling | doaj.art-f93859a6351046f2902f7ff7c9edf3892023-12-02T18:16:13ZengElsevierJournal of Open Innovation: Technology, Market and Complexity2199-85312021-03-017797910.3390/joitmc7010079Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open InnovationAlex Borodin0Irina Mityushina1Elena Streltsova2Andrey Kulikov3Irina Yakovenko4Anzhela Namitulina5Department of Finance, Plekhanov Russian University of Economics, 117997 Moscow, RussiaDepartment of Finance, Platov South Russian State Polytechnic University (NPI), 346428 Novocherkassk, RussiaDepartment of Computer Software, Platov South Russian State Polytechnic University (NPI), 346428 Novocherkassk, RussiaDepartment of Organization of Medical Provision and Pharmacoeconomics, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, RussiaDepartment of Computer Software, Platov South Russian State Polytechnic University (NPI), 346428 Novocherkassk, RussiaDepartment of Finance, Financial University under the Government of the Russian Federation, 105064 Moscow, RussiaThe 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.https://www.mdpi.com/2199-8531/7/1/79financial analysisDuPont modelsimulation modelscomputer technology |
| spellingShingle | Alex Borodin Irina Mityushina Elena Streltsova Andrey Kulikov Irina Yakovenko Anzhela Namitulina Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation Journal of Open Innovation: Technology, Market and Complexity financial analysis DuPont model simulation models computer technology |
| title | Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation |
| title_full | Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation |
| title_fullStr | Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation |
| title_full_unstemmed | Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation |
| title_short | Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation |
| title_sort | mathematical modeling for financial analysis of an enterprise motivating of not open innovation |
| topic | financial analysis DuPont model simulation models computer technology |
| url | https://www.mdpi.com/2199-8531/7/1/79 |
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