scholarly journals АНАЛІЗ МЕТОДІВ ОЦІНЮВАННЯ ФІНАНСОВОГО ПОТЕНЦІАЛУ ПІДПРИЄМСТВА

2021 ◽  
pp. 62-69
Author(s):  
Олена Володимирівна Гребенікова ◽  
Тетяна Володимирівна Денисова ◽  
Дмитро Сергійович Іваницький
Keyword(s):  
Financial Analysis ◽  
Analytical Techniques ◽  
Practical Significance ◽  
Estimation Methods ◽  
Practical Implementation ◽  
Mathematical Methods ◽  
Main Hypothesis ◽  
Advantages And Disadvantages ◽  
Industrial Enterprises ◽  
Financial Condition

In today's turbulent economy, the basis for sustainable development of the enterprise is the effective use of its financial potential, which can ensure the continuity of the production process, timely fulfillment of financial obligations and dynamic development of the business entity by financing investment activities. Therefore, the problem of the enterprise financial potential estimation is relevant. The purpose of the article is to generalize and systematize the concept of "financial potential", analysis of existing methods of its estimation, the advantages and disadvantages identification, the possibility of application in practice. The object of research is the industrial enterprises financial potential and methods of its estimation. Methods used in the study: methods of scientific knowledge, namely analysis and synthesis, induction, measurement, observation, formalization, logical-analytical techniques, as well as the methodological apparatus of financial analysis and mathematical statistics. The main hypothesis of the study is the assumption that the diagnosis of the enterprises financial potential should be based on methods whose use will allow to correctly and unambiguously interpret their results, avoid bias and other shortcomings that reduce the quality of the enterprises financial potential estimation. Presenting main material. The study found that the enterprise financial potential is one of the most important characteristics of its financial condition, associated with the level of attractiveness to creditors and investors and is characterized by available financial opportunities. The concept of "enterprise financial potential" has systematized. The analysis of existing estimation methods of the industrial enterprise financial potential had carried out. The prerequisites for their practical implementation has identified, namely: taking into account the specifics of the industry, the level of financial potential, taking into account trends and dynamics of economic development. Has proved that the analysis of the enterprise financial potential is a key tool in determining the directions of expansion of industrial production. The originality and practical significance of the study lies in the fact that the results of the methodological basis analysis has classified methods for assessing the industrial enterprises financial capabilities, has identified their main advantages and disadvantages, the possibility of use. Conclusions and prospects for further research: the necessity of formation an individual complex vector of the enterprise financial potential research in the context of global socio-economic challenges in accordance with the methodological tools, the determinants of which should be economic and mathematical methods, has substantiated

scholarly journals Optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises

2021 ◽  
Vol 37 ◽  
pp. 00103
Author(s):  
Valery Zhdanov ◽  
Elena Logacheva ◽  
Viktor Yarosh ◽  
Alexander Ivashina
Keyword(s):  
Mathematical Programming ◽  
Spatial Data ◽  
Optimization Problems ◽  
Cost Optimization ◽  
Electrical Equipment ◽  
Mathematical Methods ◽  
Advantages And Disadvantages ◽  
Industrial Enterprises ◽  
Repair Operation ◽  
Method Of Solution

Application of mathematical methods of cost optimization for repair and maintenance of electrical equipment of agro-industrial enterprises is one of the important and promising directions for increasing the efficiency of electrical equipment operation management in agriculture. Mathematical programming systems use graphical and related attributive information in solving optimization problems. As graphical information in these systems we used maps, plans, diagrams, schedules of preventive measures from which the list of equipment for certain types of repair and maintenance, their labor intensity for individual objects, types of equipment and in total for the enterprise are established. Databases of electrical equipment are used as attributive information to describe electrical equipment of agro-industrial enterprises. Due to joint processing of graphical and attributive information in optimization systems, all stages of work with spatial data are more operative. Beginning from spatial data search, selection and analysis we can make a specific decision during the operation control of electrical equipment. This article considers maintenance and repair operation (MR) as a task of mathematical programming with cost optimization and deals with three approaches to the organization of this task. The expediency of using each method of solution is analyzed. The structural schemes, equations describing mathematical models, advantages and disadvantages of the presented models are given. We marked prospect of using linear programming programs for the decision of the given optimization problem by means of the inverse matrix method, i.e. the modified simplex method and computing algorithm with a standard sequence of operations.

scholarly journals Review of the monograph “O. Yu. Dyagel. Analytical procedures of anticrisis management: monograph. Krasnoyarsk: Sibirial Federal University, 2020. 268 p.”.

2021 ◽  
Vol 15 (4) ◽  
pp. 851-858
Author(s):  
D. V. Manushin ◽  
T. V. Kramin
Keyword(s):  
Crisis Management ◽  
Financial Analysis ◽  
Practical Significance ◽  
Complete Analysis ◽  
Financial Indicators ◽  
Financial Condition ◽  
Wide Range ◽  
Analysis And Synthesis ◽  
Logical Method ◽  
Analytical Procedures

Objective: to conduct a detailed and complete analysis of a monograph by O. Yu. Dyagel2, which is devoted to the study of a wide range of issues related to analytical procedures of crisis management.Methods: the basic techniques of the abstract-logical method were used (analysis and synthesis, analogy, generalization, comparison, transition from abstract to concrete, etc.).Results: the leading line of this work is the differentiation of analytical procedures for crisis management, which implies a further standardization of individual diagnostics of enterprises’ financial condition. The reviewers emphasize the importance of the approaches to diagnosing the enterprises’ financial insolvency, systematized in the monograph.The reviewers assess the grouping of the author's approaches in the implementation of analytical procedures for crisis management, starting with preventive crisis management and ending with arbitration management.Scientific novelty: a new promising direction of financial analysis has been identified: standardization of an individual financial analysis based on specific groups of financial indicators suitable for a specific enterprise and its situation.Practical significance: the reviewers concluded that O. Yu. Dyagel’s monographic study contains examples of the practical application of the theoretical, methodological and regulatory approaches studied by the author, which significantly increases the possibility of their application in practice.

DATA ANALYSIS USING FRACTAL GEOMETRY AND SELF-SIMILARITY METHODS

2021 ◽  
pp. 31-41
Author(s):  
D. Yu. Zhmurko ◽  
Keyword(s):  
Fractal Analysis ◽  
Practical Significance ◽  
Practical Implementation ◽  
Industrial Complex ◽  
Self Similarity ◽  
Industrial Enterprises ◽  
Fractal Patterns ◽  
Mathematical Techniques ◽  
Express Methods ◽  
Time Expenditures

At the moment, the researchers of the market and economic indicators (cycles) scarcely use (due to the utter skepticism) for their calculations mathematical techniques to find fractal patterns (self-similarities) determining the movement of the studied indicators trend (or some state of the studied sector of the agricultural economy). These tools showed their efficiency in predicting the macroeconomic time series of performance indicators of some regional participants in the sugar sub-complex of the agro-industrial complex. Some elements of such patterns have proven themselves well in the construction of indicators of advanced development. They belong to the class of express methods of trend identification. In terms of efficiency and time expenditures, they are significantly superior to mathematical tools such as artificial neural networks, genetic algorithms, fuzzy logic methods, etc. The paper implements the search for stable price patterns in the history of price quotations similar to the current values. The idea is that any price pattern has taken place in the past: having this pattern properly identified, it is possible to predict to a high precision the behavior of any segment of the agro-industrial market. The author considered the forecasting methods belonging to the class of phase-fractal analysis and self-similarity methods. Besides, the author emphasizes the adaptation of such techniques when predicting the indicators of regional participants in the sugar sub-complex of the agro-industrial complex. Within the practical part of the work, the author applied the elements of phase-fractal analysis for the spurious response rejection. It allowed significantly decreasing the information noise in one dimension spectra. The results of applied calculations and practical implementation confirmed the possibility of using the tool in predicting the economic performance of large industrial enterprises of the sugar sub-complex. The results obtained for the described models allow performing multivariate calculations for the same indicators. The results of using phase-fractal analysis and self-similarity methods in forecasting tasks demonstrated the possibility of solving them and confirmed their practical significance.

scholarly journals Using of neural networks for assessing of the financial stability of companies

2020 ◽  
Vol 8 (1) ◽  
pp. 106-110
Author(s):  
Roman Bolotov ◽  
Aleksandr Suglobov
Keyword(s):  
Neural Network ◽  
Financial Stability ◽  
Financial Analysis ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Analysis Tool ◽  
Real Sector ◽  
The Real ◽  
Advantages And Disadvantages ◽  
Financial Condition

The stability of the activities of organizations in the real sector of the economy at the macroeconomic level is the basis for creating the country's gross domestic product, developing technologies and strengthening the competitiveness of the country's products within the global economic system. To plan and forecast their activities, States and business participants are increasingly using modern methods of assessing the financial stability of companies. Today, approaches to building models for assessing the sustainability of companies are based mainly on econometric and statistical linear multidimensional methods of calculation, which does not allow us to identify hidden and nonlinear relationships that are inherent in the real world economy and the activities of economic entities. The article considers approaches to assessing the financial condition of organizations using neural network modeling and comparing it with previously used methods. In the course of the research, we developed a neural network for evaluating the financial condition of companies in the real sector of the economy, which allowed us to draw conclusions about the validity of this method of assessment in modern conditions. The article also highlights the key advantages and disadvantages of the neural network modeling method as a financial analysis tool. The scientific novelty of the article is to develop and evaluate a financial analysis tool that can be applied for practical purposes the economic entities and the substantiation of the complexity of neural network models in predicting bankruptcy; lack of methodological support; the need to develop special software; the duration of the learning process to achieve the required accuracy of the model; compliance with the requirement for equal proportions of the studied groups of objects; the correct choice of neural network architecture for research purpose; representativeness and consistency of source data.

scholarly journals Informative value of the use of infrared thermography in the complex diagnosis of postpartum dysgalactia syndrome in sows

2021 ◽  
Vol 37 ◽  
pp. 00104
Author(s):  
Evgeniya Sergeevna Latynina ◽  
Georgy Petrovich Dyulger ◽  
Leonid Borisovich Leontiev
Keyword(s):  
Mathematical Programming ◽  
Spatial Data ◽  
Optimization Problems ◽  
Cost Optimization ◽  
Electrical Equipment ◽  
Mathematical Methods ◽  
Advantages And Disadvantages ◽  
Industrial Enterprises ◽  
Repair Operation ◽  
Method Of Solution

Application of mathematical methods of cost optimization for repair and maintenance of electrical equipment of agro-industrial enterprises is one of the important and promising directions for increasing the efficiency of electrical equipment operation management in agriculture. Mathematical programming systems use graphical and related attributive information in solving optimization problems. As graphical information in these systems we used maps, plans, diagrams, schedules of preventive measures from which the list of equipment for certain types of repair and maintenance, their labor intensity for individual objects, types of equipment and in total for the enterprise are established. Databases of electrical equipment are used as attributive information to describe electrical equipment of agro-industrial enterprises. Due to joint processing of graphical and attributive information in optimization systems, all stages of work with spatial data are more operative. Beginning from spatial data search, selection and analysis we can make a specific decision during the operation control of electrical equipment. This article considers maintenance and repair operation (MR) as a task of mathematical programming with cost optimization and deals with three approaches to the organization of this task. The expediency of using each method of solution is analyzed. The structural schemes, equations describing mathematical models, advantages and disadvantages of the presented models are given. We marked prospect of using linear programming programs for the decision of the given optimization problem by means of the inverse matrix method, i.e. the modified simplex method and computing algorithm with a standard sequence of operations.

scholarly journals Methodical Limitations of the Financial Analysis in Transition Economy and the Specificity of the Financial Condition of Industrial Enterprises of the Kemerovo Region

2019 ◽  
Vol 4 (2) ◽  
pp. 191-200
Author(s):  
Анатолий Акулов ◽  
Anatoly Akulov
Keyword(s):  
Transition Economy ◽  
Financial Analysis ◽  
Holding Companies ◽  
Macroeconomic Variables ◽  
Industrial Enterprises ◽  
Correlation And Regression Analysis ◽  
Financial Position ◽  
Financial Condition ◽  
New Ideas ◽  
The Russian Federation

The research features the financial condition of industrial enterprises of the Kemerovo region. The research objective was to determine the main characteristics of the financial condition of the local industrial enterprises, taking into account the methodological limitations of external financial analysis. The authors used methods of observation, logical-structural analysis, comparative analysis, correlation and regression analysis, methods of external financial analysis, and system-structural approach. The approach allowed the authors to identify the main regularities of the development of the financial condition of the local industrial enterprises. The differences in the financial position were compared with other regions of the Russian Federation. The paper introduces new ideas about the factors determining the financial state of the industry. It contains a list of conditions and measures that contribute to improving the financial condition of the local industrial enterprises and assess their mid-term prospects. The results can be used by the authorities and management to develop strategic planning documents. The research can help large integrated industry companies to justify their decisions on the distribution of funds in holding companies. The financial condition of the industry in the Kemerovo Region proved to be slightly worse than average, which is explained by the structure of the economy and other macroeconomic variables. The control actions of the subfederal level cannot fully improve the situation.

scholarly journals SCIENTIFIC AND METHODOLOGICAL SUPPORT OF FINANCIAL EXPRESS ANALYSIS OF SMALL INDUSTRIAL ENTERPRISES OF UKRAINE

2021 ◽  
pp. 78-90
Author(s):  
Liudmyla Sokolova ◽  
Viktor Dyuzhev ◽  
Ganna Veriasova ◽  
Oleksandr Kurdenko ◽  
Esknder Suliaman Salty Al-Fakhore
Keyword(s):  
Input Data ◽  
Financial Analysis ◽  
Relevant Information ◽  
Rapid Analysis ◽  
Industrial Enterprise ◽  
Financial Supervision ◽  
Industrial Enterprises ◽  
Financial Condition ◽  
Express Analysis ◽  
Simplified Procedure

The subject of research of this work is the current direction in the financial activities of small industrial enterprises – financial express analysis. The purpose of the study is to develop a scientific and methodological basis for a simplified procedure of financial supervision of small industrial enterprises in the country in order to provide qualified assistance to managers of small industrial enterprises in the financial sphere of their activities. The article solves the following tasks: study of the state of small industrial enterprises and their role in the development of Ukraine's economy, definition of "financial supervision", development of algorithm for financial express analysis of small industrial enterprises, choice of directions for financial express analysis of small industrial enterprises financial supervision, the formation of a bank of input data on four components, testing of scientific and methodological support on the example of a particular enterprise. The following methods are used: theoretical generalization, retrospective analysis, comparative analysis, analytical, analysis and synthesis, rapid analysis. The following results were obtained: the method of financial express analysis of a small industrial enterprise was proposed on the basis of financial supervision; selected areas of financial analysis under a simplified procedure; the scheme of algorithm of carrying out procedure of financial supervision is developed; the bank of the input data which are necessary for the decision of the set task is formed; substantiation of the choice of applied mathematical models is carried out; the experimental approbation of the offered scientific and methodical approach to carrying out the financial express-analysis on the factual basis of the real small industrial enterprise is carried out; appropriate recommendations were given to the management of the researched enterprise. Conclusions: It is determined that in the current unstable economic conditions, small industrial enterprises need professional assistance of consulting orientation in financial activities. Obtaining up-to-date relevant information on the financial condition of small industrial enterprises is a very important task that requires a rapid financial analysis of their activities. The study of this issue showed the lack of consensus of analysts on the directions and methods of financial rapid analysis. This led to the need and feasibility of developing for the management of small industrial enterprises under a simplified procedure of an orderly methodology of financial rapid analysis on the basis of financial supervision.

scholarly journals ІННОВАЦІЙНИЙ ПОТЕНЦІАЛ УЗБЕКИСТАНУ: РОЗВИТОК ПІДПРИЄМНИЦТВА

2021 ◽  
pp. 6-10
Author(s):  
Matluba Abdullayevа
Keyword(s):  
Sustainable Development ◽  
Effective Means ◽  
Economic Modeling ◽  
Industrial Enterprise ◽  
Practical Significance ◽  
Main Hypothesis ◽  
The Sustainable Development ◽  
Industrial Enterprises ◽  
Expert Assessments ◽  
Innovative Potential

The article examines the factors that determine the strategic efficiency of industrial enterprises, the criteria and ways of investment support for their sustainable development. The purpose of the study is to analyze the factors of sustainable development of an industrial enterprise based on increasing its innovative potential in Uzbekistan. The study used the methodology of logical, historical, statistical and comparative analysis, methods of expert assessments, economic modeling, a method for assessing the reliability of qualitative and quantitative statistical indicators. The main hypothesis of the study was the assumption that with the intensive transformation of innovation into a determining factor of sustainable development, an effective means of increasing the competitiveness of an industrial enterprise is the use of innovative potential. Presentation of the main material. The sustainable development of the enterprise is ensured by the possibilities of accumulating resources in the innovation sphere, their rational use within the framework of the selected priorities, that is, by increasing the innovative potential. The practical significance of the work lies in the application by the executive authorities of the research results when drawing up medium-term and long-term programs for the socio-economic development of regions. Conclusions and prospects for further research. The modern model of sustainable development of enterprises presupposes the systemic integration of the scientific and technical sphere into the processes of economic and social development. Proposals for ensuring sustainable development based on increasing the innovative potential in practice will make it possible to reasonably revise the strategic guidelines of an industrial enterprise and increase its sustainability, expressed in a change in the level of innovative potential.

scholarly journals Aspects of financial analysis of the company's equity in modern conditions

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
N. Kuprina ◽  
T. Markova ◽  
O. Velychko
Keyword(s):  
Financial Analysis ◽  
Practical Importance ◽  
Practical Aspect ◽  
Industrial Enterprise ◽  
Comprehensive Approach ◽  
Scientific Result ◽  
Market Conditions ◽  
Industrial Enterprises ◽  
Financial Condition ◽  
Equity Analysis

The purpose of the research is to analyze the scientific works on the o study approaches to conducting financial analysis of industrial equity of enterprises in the theoretical and practical aspect, justification ofthe need to formulate a comprehensive approach for such aanalysis of the equity of the enterprise in themanagement system.The analysis of the works of scientists showed that when conducting a financial analysis of an enterprise's equity, it is mainly conducted in the context of the analysis of the financial condition of the enterprise,both in the overall assessment and in absolute and relative terms, which is not complete in the current conditions of managing the enterprise resources and sources of their formation.The scientific result of the research is the formation of a comprehensive approach to the financialanalysis of the equity of an industrial enterprise, which is relevant in the current market conditions of operation of enterprises and covers the analysis of its dynamics, structure, turnover, profitability, risk and its protection. The practical importance of this work is directed to the use of this method of equity analysis as a toolof financial analysis in the modern conditions of management of industrial enterprises to ensure the efficiency of their activities and management.

scholarly journals Improvement of bankruptcy probability model based on the analysis of industrial enterprises of Ukraine

2019 ◽  
Vol 65 ◽  
pp. 06002
Author(s):  
Tetiana Melikhova ◽  
Andriy Makarenko ◽  
Olena Mikhailytsa ◽  
Andriy Pozhuyev
Keyword(s):  
Financial Analysis ◽  
Probability Model ◽  
Stable Operation ◽  
Industrial Enterprises ◽  
Financial Condition ◽  
Proposed Model ◽  
Probability Of Bankruptcy ◽  
Bankruptcy Probability ◽  
Improved Model ◽  
Econometric Approach

In present work, the peculiarities of simulation model of enterprises bankruptcy probability that exist in European, world and domestic practices were considered. The scientific econometric approach was applied to determine the overall presence and strength of the relation between the economic indicators of industrial enterprises. A financial analysis of large industrial manufactures in the region of Ukraine was conducted. To form the information base of the study, the authors estimated liquidity, solvency, business activity and profitability ratios that affect the financial condition of enterprises. They revealed the most significant ratios of financial condition analysis. According to the analysis of existing models of bankruptcy probability in the context of these industrial enterprises, an improved model for assessing the risk of bankruptcy was proposed and evaluated. The proposed model for estimating the probability of bankruptcy, taking into account the influence of the most significant ratios of financial analysis, confirmed that the percentage of provided bankruptcies and stable activities are acceptable and indicate high quality of the resulting equation. The IBM SPSS Statistics system was used to process the data, check the assumptions and prepare valid conclusions. The improved model will allow it to be used in the practice of diagnosing the probability of bankruptcy of industrial enterprises, which will help identify the threat of bankruptcy in time and ensure stable operation of the industrial enterprise.

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