scholarly journals Risk Management in the System of Financial Stability of the Service Enterprise

2020 ◽  
Vol 13 (12) ◽  
pp. 300
Author(s):  
Svetlana Drobyazko ◽  
Anna Barwinska-Malajowicz ◽  
Boguslaw Slusarczyk ◽  
Olga Chubukova ◽  
Taliat Bielialov
Keyword(s):  
Program Implementation ◽  
Financial Stability ◽  
Service Sector ◽  
Structural Characteristics ◽  
Hotel Industry ◽  
Visual Interpretation ◽  
Theoretical Substantiation ◽  
Financial Condition ◽  
The Neural Network ◽  
Integral Indicator

The article is devoted to the theoretical substantiation and development of methodological approaches and practical recommendations for modeling the assessment of the financial stability of a service sector enterprise. To assess the financial condition of the hotel industry, a visual interpretation of the neural network, a model of self-organizing Kohonen map, was used. It is proven that by the method of Kohonen maps for each service provided by the hotel industry, in a certain period of activity, it is possible to establish certain objective limitations of structural characteristics that will prevent the transition to problem clusters or ensure the transition to better ones. The authors propose an economic and mathematical model of the process of assessing financial stability by calculating the integral indicator of financial stability of the service sector. The types of control maps for each of the coefficients that have a significant impact on the assessment of the financial stability of the enterprise in the service sector were identified. Control maps were constructed for each coefficient, which are part of the integrated indicator of financial stability, and their analysis was carried out for the presence of special reasons for the variability of the process of financial stability assessment. The concept of modeling a system for assessing the financial stability of service enterprises is developed in the article, which is based on the collection of financial data, a comprehensive analysis of factors influencing the financial condition, a study of the controllability of the process of assessing financial stability, building a model of an integral indicator of financial stability, and its program implementation.

scholarly journals Multicriteria optimization of oil and gas enterprises financial stability using the genetic algorithm method

2021 ◽  
Vol 107 ◽  
pp. 06005
Author(s):  
Marta Shkvaryliuk ◽  
Liliana Horal ◽  
Inesa Khvostina ◽  
Natalia Yashcheritsyna ◽  
Vira Shiyko
Keyword(s):  
Genetic Algorithm ◽  
Risk Management ◽  
Financial Stability ◽  
Oil And Gas ◽  
Financial Indicators ◽  
Management Efficiency ◽  
Financial Condition ◽  
Genetic Algorithm Method ◽  
Oil And Gas Companies ◽  
Integral Indicator

The article considers the problem of optimizing the financial condition of oil and gas companies. The offered methods of optimization of a financial condition by scientists from different countries are investigated. It is determined that the financial condition of the enterprise depends on the effectiveness of the risk management system of enterprises. It is proved that the enterprises of the oil and gas complex need to develop a system for risk management to ensure the appropriate financial condition. The financial condition is estimated according to the system of certain financial indicators, the integrated indicator of financial condition assessment is constructed using the method of taxonomy. According to the results of the calculation of the integrated indicator, it is concluded that this indicator does not have a stable trend. On the basis of the conducted researches it is offered to carry out optimization of an integral indicator of a financial condition with use of genetic algorithm in the Matlab environment. Based on the obtained results, recommendations of the management of the researched enterprises on increase of management efficiency are given.

scholarly journals CREATING ENTERPRISE FINANCIAL STABILITY CONTROL TOOL USING FUZZY LOGIC METHODS

2018 ◽  
pp. 131-138
Author(s):  
Alina Valerievna Bodnar
Keyword(s):  
Fuzzy Logic ◽  
Financial Stability ◽  
Fuzzy Inference ◽  
Business Environment ◽  
Stability Control ◽  
Financial Condition ◽  
Managerial Decisions ◽  
Modern Business ◽  
On Line ◽  
Integral Indicator

In the current economic and political situation the existing methods and models of analyzing and consolidating financial statements in the information architecture of an enterprise do not meet modern business environment criteria. The article presents a model built by using the fuzzy logic apparatus, managing the financial stability of the enterprises of the consolidated group using MATLAB toolkit and FuzzyLogic software package. The model is based on an integral indicator of the financial performance of the enterprise. The key performance indicators have been formed allowing to comprehensively assess the financial condition of the enterprise and the level of its financial stability. The presented indicators go through the stage of fuzzification, where eache factor is given a membership function, a decision and defuzzification stage, i.e. reduction of the resulting a fuzzy value to clarity. Application of Mamdani fuzzy inference algorithm allows to obtain a clear value of the integral indicator of the financial state of the enterprise. The obtained value allows to take on-line operational management decisions. The developed model has been applied to assess the financial state of “Metinvest Holding” enterprise, to identify its weak and strong sides, as well as to propose ways to improve its activities and possible options for taking managerial decisions. It has been inferred that fuzzy logic methods make it possible to analyze the financial stability of consolidated groups of companies under conditions of uncertainty, for example, in those cases when there is not any full-fledged statistics, or that non-financial data should be included in the number of investigated indicators. There have been used general scientific methods: generalization, abstraction, analogy, induction and deduction, a systematic approach and toolkit of fuzzy modeling to assess financial state of the enterprise and to manage its stability, as well as methods of scientific cognition.

DIRECTIONS FOR DEVELOPMENT OF ANTI-CRISIS FINANCIAL MANAGEMENT

2017 ◽  
Author(s):  
Liubov Iarova ◽  
Keyword(s):  
Financial Management ◽  
Financial Stability ◽  
Enterprise Management ◽  
Factors Affecting ◽  
Financial Condition ◽  
Flexible Response ◽  
Relevant Topic ◽  
Potential Risks ◽  
Negative Factors ◽  
Theoretical Foundations

For continuous performance, enterprises should not only take into account potential risks and existing negative factors, but also develop methods and principles that allow timely and flexible response to crisis occurrences, as well as determine the recovery stages in an already deteriorated financial condition. Given tasks are solved by anti-crisis financial management, designed to increase the efficiency of enterprise management and facilitate the equalization or improvement of an economic entity’s financial stability, therefore, the directions of its development are a rather relevant topic in a market economy. The article examines the theoretical foundations of anti-crisis financial management, the main factors affecting the emergence of a crisis state at an enterprise, discusses the need for its development, and provides factors that determine the effectiveness of the implemented anti-crisis policy. Identifying the need to improve anti-crisis financial management and decision-making on its implementation are accompanied by an analysis that takes into consideration possible risks and costs, which determines the expected effect. The author generalizes and indicates the main principles and stages of anti- crisis management.

FRAUD TRIANGLE ANALYSES IN DETECTING FRAUDULENT FINANCIAL STATEMENT USING FRAUD SCORE MODEL

2020 ◽  
Vol 25 (1) ◽  
pp. 29-44
Author(s):  
Mariati ◽  
Emmy Indrayani
Keyword(s):  
Financial Stability ◽  
Linear Regression Analysis ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
External Pressure ◽  
Financial Statement ◽  
Fraud Triangle ◽  
Financial Statement Fraud ◽  
Financial Condition ◽  
Score Model

Company’s financial condition reflected in the financial statements. However, there are many loopholes in the financial statements which can become a chance for the management and certain parties to commit fraud on the financial statements. This study aims to detect financial statement fraud as measured using fraud score model that occurred in issuers entered into the LQ-45 index in 2014-2016 with the use of six independent variables are financial stability, external pressure, financial target, nature of industry, ineffective monitoring and rationalization. This study using 27 emiten of LQ-45 index during 2014-2016. However, there are some data outlier that shall be removed, thus sample results obtained 66 data from 25 companies. Multiple linear regression analysis were used in this study. The results showed that the financial stability variables (SATA), nature of industry (RECEIVBLE), ineffective monitoring (IND) and rationalization (ITRENDLB) proved to be influential or have the capability to detect financial statement fraud. While the external pressure variables (DER) and financial target (ROA) are not able to detect the existence of financial statement fraud. Simultaneously all variables in this study were able to detect significantly financial statement fraud.

ANALYTICAL TOOLS AND MANAGEMENT METHOD OF CASH FLOWS AT THE ENTERPRISE

2017 ◽  
pp. 93-105
Author(s):  
Olha NIPIALIDI
Keyword(s):  
Financial Stability ◽  
Cash Flows ◽  
Sustainable Growth ◽  
Financial Health ◽  
Traditional Assessment ◽  
Financial Condition ◽  
Efficient Management ◽  
Expert Assessments ◽  
Analytical Tools

Introduction. The most important factors for “financial health” of the company are effectively structured cash flows, precondition for sustainable growth and achievement of high end results of economic activity as a whole. Knowledge and practical use of modern methods of organization and efficient management of cash flows enables transition of the company to a new quality of economic development. Purpose. The aim of the article is the research and development of theoretical, methodological and practical recommendations concerning the organization of the management process of cash flows at the enterprise. Results. Methodology of traditional assessment of financial stability of the enterprise, its elements and the factors influencing it can significantly complement and improve through the use of advanced mathematical models that allow to analyze the accuracy and objectivity of expert assessments for determination the level of the financial condition of the enterprise. Conclusion. The system of indicators used in the analysis of cash flows at the enterprises is investigated and systematized. It is advisable to choose those indicators from the total aggregate of indicators that are the most attracted to specific users of accounting information. Methods for analyzing cash flow is supplemented as regards the determination of the integral index of financial stability, which makes it possible to install ranked of the investigated enterprise. Proposals for amendments the methodological approaches to estimating of future cash flows will allow more effectively increase usefulness and reliability of accounting and analytical information for making management decisions.

scholarly journals THE EFFECTIVENESS OF ENSURING THE FINANCIAL STABILITY OF THE RESTAURANT BUSINESS IN THE CRISIS COVID-19

2020 ◽  
Author(s):  
Liudmyla Batchenko ◽  
◽  
Liliia Honchar ◽  
Andrii Beliak ◽  
◽  
...  
Keyword(s):  
Financial Management ◽  
Financial Stability ◽  
Hospitality Industry ◽  
Business Environment ◽  
Financial Indicators ◽  
Financial Condition ◽  
The Matrix ◽  
A Chain ◽  
Key Indicators ◽  
Enterprise Policy

The study identifies and systematizes key indicators and criteria for ensuring the financial stability of the restaurant business. The complex and thorough analysis of features of maintenance of financial stability of the enterprises of restaurant business on an example of one of restaurants of a chain of the Japanese kitchen of LLC «Sushiya» is carried out. After analyzing the key indicators of financial and economic activity of the restaurant, using the method of complex calculation of the rating of the financial condition of enterprises in the hospitality industry, the level of financial stability of the studied enterprise is determined. Based on the results of practice-oriented analysis, the ranking of financial management goals by the degree of impact on the financial stability of the enterprise. The mechanism of ensuring financial stability of restaurant business enterprises is modeled. The developed and substantiated mechanism is based on a unique methodology, which, unlike existing ones, is adapted to the field of hospitality, is carried out by specific tactical and strategic tools of financial management, based on the chosen type of enterprise policy; takes into account the dynamics of the main financial indicators of the enterprise, which is planned to implement the mechanism and the possible impact of factors of the external changing business environment. With the help of the matrix of financial strategies of J. Franchon and I. Romane, the position of the restaurant «Sushiya-Lavina» is determined and the methodological tools for improving the efficiency of its financial stability are substantiated.

scholarly journals System of financial sustainability management of forestry enterprises of southern Ukraine

2021 ◽  
pp. 205-211
Author(s):  
I. Diadchenko ◽  
L. Sakharnatska
Keyword(s):  
Financial Stability ◽  
Steppe Zone ◽  
Financial Sustainability ◽  
Economic Potential ◽  
The South ◽  
Sustainability Management ◽  
Financial Condition ◽  
Forest Enterprises ◽  
Forest Lands ◽  
Southern Ukraine

The article considers the possibility of more efficient use of forest resources of the steppe zone of Ukraine, including by improving the level of financial stability of forestry enterprises in the South of Ukraine. For this purpose, on the basis of well-known principles of process algorithmization, a conceptual model of formation of the financial stability management system of forestry enterprises of the South of Ukraine is proposed. The presented model is based on the economic, social and environmental components (subsystems) of forestry enterprises and in each of them the necessary directions (possible effects) for improving the financial condition of economic entities are identified. The main reasons of normative and organizational nature, which make it impossible to increase the economic potential of forestry enterprises in the South of Ukraine, are highlighted. The directions of cooperation of forestry enterprises with local self-government bodies are offered, in particular: conclusion of commercial agreements on reconstruction of existing and creation of new parks and squares, construction of sanatoriums, cultural and entertaining, development of water purification and water-preserving functions of forest plantations. The mechanism of realization of the system of management of financial stability of the forestry enterprises which is based on realization by the forestry enterprises of a complex of the corresponding organizational and technical and administrative actions is presented. which consists in the implementation of the relevant stages of the enterprise, in particular: capitalization of own assets, identification of sources of funding and diversification of activities. It is substantiated as one of the directions of diversification of forestry enterprises, creation of energy crops on forest lands that cannot be used for other needs, and production of pellets from them for further sale. In particular, based on the calculations, it is proved that the proposed direction of diversification of forest enterprises in the South of Ukraine will not only improve their financial condition, but also attract low-value lands that are unsuitable for growing forests and crops, eventually improving their structure and content.

scholarly journals PROBLEMS FOR ANTI-CRISIS ANALYTICAL PROCEDURES OF FINANCIAL STABILITY OF TRADE ENTERPRISES

2020 ◽  
Author(s):  
Ludmila Anipko ◽  
◽  
Irina Klimovych ◽  
Keyword(s):  
Financial Stability ◽  
Regression Equation ◽  
Regression Coefficients ◽  
Regression Equations ◽  
Financial Condition ◽  
Financial Audit ◽  
Analytical Procedures ◽  
Financial Monitoring ◽  
Complex Indicators

Anti-crisis analytical procedures the financial stability of trade enterprises (hereinafter – AP FS) are part of the internal financial audit of economic activity. The system of financial monitoring is practically acceptable for the implementation of AP FS. The developed classification allows to determine the ability of the enterprise to implement AP FS. An analytical method has been developed that allows, based on the analysis of the financial condition and multivariate forecast, to develop measures to ensure the financial stability of the trade enterprise continuously. By interpolation, the study of the current financial situation, and extrapolation – a multivariate forecast, the numerical value of the integrated (complex) indicator that characterizes financial stability is determined by the regression equation, including factors listed in the classification, the significance of which is determined by regression equations. Based on the analysis of the numerical values of the regression coefficients, it is possible to determine the most important factors that affect the financial stability of trade enterprises, and those that have almost no effect on it. Components with significantly small numerical values of the regression coefficients can be generally discarded. This will reduce the number of indicators that affect financial stability and thus, you can reduce the number of components in the regression equation to the two three most important, which allows you to solve the problem of optimization. The expediency of using integrated and complex indicators is shown. The obtained results are only an information basis for the economic administration of the trade enterprise in making management decisions, the formation of long-term plans. The developed approaches to assessing the financial stability of enterprises are universal and can be used for enterprises in other sectors of the economy.

scholarly journals Methodological Aspects Concerning Evaluation of the Financial Stability of Companies in the Crisis Economy Conditions

2020 ◽  
Vol 8 (16) ◽  
pp. 513-527
Author(s):  
Elena V Levkina ◽  
Zhanna I Lyalina ◽  
Ekaterina A Kurasova
Keyword(s):  
Economic Crisis ◽  
Russian Federation ◽  
Financial Stability ◽  
Financial Condition ◽  
Current Period ◽  
Doing Business ◽  
The Status ◽  
The Russian Federation ◽  
Methodological Aspects ◽  
A Company

The financial stability of a company is one of the most important criteria for assessing the situation of enterprises both for the current period and for subsequent periods of functioning. Of course, every enterprise wants to have business liquidity, otherwise the basis of entrepreneurship collapses; however, the purpose of doing business is to make a profit. An enterprise can make good profits, but at the same time have large liabilities, that is, debts. In this case, it is difficult to call the company financially stable. The onset of the economic crisis in the Russian Federation only prompts the conduct of such studies. Firstly, because it is necessary to understand how the situation in the country's economy as a whole affects a single enterprise, and secondly, what the prerequisites for this influence can be noticed in advance and how to try to prevent them. The relevance of this study lies in the fact that today in Russia there are a number of difficulties with assessing the status of organizations and their adequate comparison with reality. There are many different methods for assessing the financial condition and, in particular, the financial stability of a company. However, when choosing one of them, it is necessary to consider them in order to identify the shortcomings of their application to certain market conditions. Identification of these disadvantages of different theories will allow us to competently and reliably analyse the financial condition of various companies. It is also worth noting that this topic is relevant not only for the companies themselves. The presence of positive dynamics of financial stability indicators as an integral part of the financial condition of the enterprise is one of the most important bases of investment attractiveness. Therefore, not only a company itself is interested in such studies in the inside, but also other market entities from the outside.

Prediction and analysis of College Students’ mental health based on BP neural network

2020 ◽  
pp. 1-7
Author(s):  
Tang Yushou Su Jianhuan
Keyword(s):  
Neural Network ◽  
Mental Health ◽  
College Students ◽  
Bp Neural Network ◽  
Structural Characteristics ◽  
Prediction System ◽  
The Neural Network ◽  
Data Processing Method ◽  
Training Samples ◽  
The Mathematical Model

College Students’ mental health is an important part of higher education, so the current research and prediction of College Students’ mental health are of great significance to better solve the problem of College Students’ mental health. Taking a local university as an example, the data from 2011 to 2019 are selected and analyzed. The normalized data processing method is used to assign weights to 11 kinds of factors that affect the health of college students. The training samples of a neural network are selected, and the structural characteristics of the neural network and the artificial neural network toolbox of MATLAB are used to establish the BP based model the mathematical model of the prediction system of College Students’ mental health based on neural network. The results show that the error between the predicted value and the measured value is only 0.88%. On this basis, this paper uses the model to predict the weight of the influencing factors of the mental health status of college students in a local university in 2020 and analyzes the causes of the prediction results, to provide the basis for the current mental health education of college students.

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