Abstract:In the article the main approaches to the estimation of the level of financial security of the companies (on the basis of the component of economic security, indicated, financially-oriented, resource-functional, minimizing-criterial, integral, on the basis of determining the probability of bankruptcy) are analyzed, summarized and detailed of the specifics of its level calculations according to the data of financial coefficients. The main indicators of the financial condition of the enterprises, for which norma… Show more
“…Authors, which assessing the financial security of the enterprise based on the overall financial state of an enterprise, that is calculates and analyses key groups of financial indicators: profitability, business activity, solvency, financial stability, the efficiency of cash flow management (Blank, 2004;Delas et al, 2015;Yeletskykh, 2017;Pera, 2017;Kharchuk et al, 2020). Ganushchak (2017), Khudoliei (2018), Azarenkova et al (2018), Kosaynova et al (2019), Kharchuk et al (2020) offer to assess the financial security of the enterprise based on the definition of a generic integral measure of the financial security of an enterprise, based on the use of the different set of financial indicators and the determination of the relevant weights (limit values) for each of them. Valaskova et al (2020) and Sylkin et al (2018Sylkin et al ( , 2019Sylkin et al ( , 2020 use to diagnose the financial security of the enterprise classical methods of assessing the probability of bankruptcy, but modify and improve them.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Scientific works are devoted to the justification of modern methodological approaches to the assessment of the level and position of the financial security of an enterprise are: Azarenkova et al (2018), Britchenko et al (2018), Khudoliei (2018), Hryhoruk et al (2019), Kosaynova et al (2019), Drobyazko et al (2020), Franchuk et al (2020), Kharchuk et al (2020), Kondratenko et al (2020), Sylkin et al (2020).…”
Section: Introductionmentioning
confidence: 99%
“…The main approaches to estimating the level of financial security of the enterprise, which are currently presented in the professional literature -are the coefficient, which involves the calculation of a set of financial indicators (Delas et al, 2015;Yeletskykh, 2017;Pera, 2017;Kharchuk et al, 2020); integrated, based on the definition of an integrated indicator of financial security (Ganushchak, 2017;Khudoliei, 2018;Azarenkova et al, 2018;Kosaynova et al, 2019;Kharchuk et al, 2020); based on the diagnosis of the probability of bankruptcy (Valaskova et al, 2020;Sylkin et al, 2018Sylkin et al, , 2019Sylkin et al, , 2020Koleda & Lāce, 2008;Bilomistniy et al, 2017;Britchenko et al, 2018;Nguyen & Nguyen, 2020;Franchuk et al, 2020). There are also several author's methods for assessing financial security: Hryhoruk et al (2019) -model for assessment of the financial security level of the enterprise based on the desirability scale; Zwolak (2017) -empirical model based on the Cobb-Douglas power function.…”
Purpose – The main purpose of the article is to justify an alternative approach to assessing the level of financial security of the enterprises based on use the model of modified and adjusted financial statements. Research methodology – The following methods of general theoretical and empirical research were used in the writing of the article: abstract-logical (when systematizing scientific publications on the problems of financial security management of enterprises), comparisons and grouping (when developing and validating a model of modified financial statements), coefficient (when considering and using models for adjusting modified financial statements), grouping (when clustering enterprises depending on the results of the analysis), formalization (when developing a matrix for diagnosing the level of financial security of enterprises), generalization (when formulating research findings). Findings – Based on an established sample from nine of sunflower oil production enterprises of Ukraine their modified financial statements have been developed, it was adjusted to the consumer price index, key financial indicators of the model have been identified and the level of their financial security over the past 7 years have been assessed. The research identified a direct relationship between the level of financial security of enterprises and key financial indicators: financial stability, solvency and financial risk. Also, the proposed methodological approach can be not only an important tool for diagnosing the level of financial security of enterprises, but also its forecasting. Research limitations – The research limitation is associated with sampling size and geographical scope. Also, the diagnostic results may differ depending on the chosen adjustment base, determination of adjustment method and selection of inflation measurement method for the modification financial statements. Practical implications – Practical use of the proposed model proves that it is a convenient, simple, understandable and effective tool for diagnosing the financial security level of enterprises in terms of the main components: financial stability, solvency, and risk. The use of the proposed approach to the assessment of the financial security of the enterprise can serve as an indicator of the overall efficiency of its management at sunflower oil production enterprises and as an informative tool for factor analysis. Originality/Value – Consideration of a significantly different, alternative approach that allows enterprises to quickly and easily diagnose the level of their financial security; to manage it effectively during the current period, and can also become the basis for the formation of strategic directions of financial development and forecasting of the level of financial security for prospective period.
“…Authors, which assessing the financial security of the enterprise based on the overall financial state of an enterprise, that is calculates and analyses key groups of financial indicators: profitability, business activity, solvency, financial stability, the efficiency of cash flow management (Blank, 2004;Delas et al, 2015;Yeletskykh, 2017;Pera, 2017;Kharchuk et al, 2020). Ganushchak (2017), Khudoliei (2018), Azarenkova et al (2018), Kosaynova et al (2019), Kharchuk et al (2020) offer to assess the financial security of the enterprise based on the definition of a generic integral measure of the financial security of an enterprise, based on the use of the different set of financial indicators and the determination of the relevant weights (limit values) for each of them. Valaskova et al (2020) and Sylkin et al (2018Sylkin et al ( , 2019Sylkin et al ( , 2020 use to diagnose the financial security of the enterprise classical methods of assessing the probability of bankruptcy, but modify and improve them.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Scientific works are devoted to the justification of modern methodological approaches to the assessment of the level and position of the financial security of an enterprise are: Azarenkova et al (2018), Britchenko et al (2018), Khudoliei (2018), Hryhoruk et al (2019), Kosaynova et al (2019), Drobyazko et al (2020), Franchuk et al (2020), Kharchuk et al (2020), Kondratenko et al (2020), Sylkin et al (2020).…”
Section: Introductionmentioning
confidence: 99%
“…The main approaches to estimating the level of financial security of the enterprise, which are currently presented in the professional literature -are the coefficient, which involves the calculation of a set of financial indicators (Delas et al, 2015;Yeletskykh, 2017;Pera, 2017;Kharchuk et al, 2020); integrated, based on the definition of an integrated indicator of financial security (Ganushchak, 2017;Khudoliei, 2018;Azarenkova et al, 2018;Kosaynova et al, 2019;Kharchuk et al, 2020); based on the diagnosis of the probability of bankruptcy (Valaskova et al, 2020;Sylkin et al, 2018Sylkin et al, , 2019Sylkin et al, , 2020Koleda & Lāce, 2008;Bilomistniy et al, 2017;Britchenko et al, 2018;Nguyen & Nguyen, 2020;Franchuk et al, 2020). There are also several author's methods for assessing financial security: Hryhoruk et al (2019) -model for assessment of the financial security level of the enterprise based on the desirability scale; Zwolak (2017) -empirical model based on the Cobb-Douglas power function.…”
Purpose – The main purpose of the article is to justify an alternative approach to assessing the level of financial security of the enterprises based on use the model of modified and adjusted financial statements. Research methodology – The following methods of general theoretical and empirical research were used in the writing of the article: abstract-logical (when systematizing scientific publications on the problems of financial security management of enterprises), comparisons and grouping (when developing and validating a model of modified financial statements), coefficient (when considering and using models for adjusting modified financial statements), grouping (when clustering enterprises depending on the results of the analysis), formalization (when developing a matrix for diagnosing the level of financial security of enterprises), generalization (when formulating research findings). Findings – Based on an established sample from nine of sunflower oil production enterprises of Ukraine their modified financial statements have been developed, it was adjusted to the consumer price index, key financial indicators of the model have been identified and the level of their financial security over the past 7 years have been assessed. The research identified a direct relationship between the level of financial security of enterprises and key financial indicators: financial stability, solvency and financial risk. Also, the proposed methodological approach can be not only an important tool for diagnosing the level of financial security of enterprises, but also its forecasting. Research limitations – The research limitation is associated with sampling size and geographical scope. Also, the diagnostic results may differ depending on the chosen adjustment base, determination of adjustment method and selection of inflation measurement method for the modification financial statements. Practical implications – Practical use of the proposed model proves that it is a convenient, simple, understandable and effective tool for diagnosing the financial security level of enterprises in terms of the main components: financial stability, solvency, and risk. The use of the proposed approach to the assessment of the financial security of the enterprise can serve as an indicator of the overall efficiency of its management at sunflower oil production enterprises and as an informative tool for factor analysis. Originality/Value – Consideration of a significantly different, alternative approach that allows enterprises to quickly and easily diagnose the level of their financial security; to manage it effectively during the current period, and can also become the basis for the formation of strategic directions of financial development and forecasting of the level of financial security for prospective period.
“…If an enterprise is insolvent and has an unbalanced financial situation, it can only go bankrupt. However, colleges and universities may have difficulties in daily operating capital turnover, such as arrears of faculty and staff wages, school quotas, quota reimbursements, and migrant workers blocking schools, which seriously affect daily financial payments and lead to failure of normal operation [3].…”
In order to improve the monitoring effect of financial security risk in colleges and universities, this paper studies the financial security risk control of colleges and universities combined with the big data clustering center scheduling algorithm and inverts the multilevel sampling algorithm of quantum potential support. Moreover, this paper considers that the multilevel sampling algorithm is applied to the potential backscattering problem of the stationary Schrödinger equation to invert the support of the potential in the equation. In addition, this paper uses far-field data to invert the generalized linear sampling method of potential support and builds a college financial security risk monitoring model that relies on the big data clustering center scheduling algorithm. The experimental study shows that the financial security risk monitoring system for colleges and universities based on the big data clustering center scheduling algorithm proposed in this paper has good risk clustering and risk identification effects.
“…Основні підходи до оцінки рівня фінансової безпеки підприємства, які нині представлені у фаховій літературі, передбачають або розрахунок певного набору фінансових коефіцієнтів (коефіцієнтний метод) [12; 16; 18-20], або визначення інтегрального показника (інтегральний метод) [13; 21], або на основі визначення рівня безпеки окремих складників фінансової безпеки чи факторів впливу [21][22][23][24][25], або на основі визначення загального стану фінансової діяльності підприємства [26; 27], або діагностику ймовірності настання банкрутства підприємства [21; 28]. Тоді як питання забезпечення саме фінансової безпеки операційної діяльності підприємства як основної передумови формування фінансової безпеки підприємства в цілому є недостатньо розкритими.…”
Purpose. The purpose of the article is to develop a system for evaluation the state of financial security of operating activities of enterprises in oil-and-fat industry based on the coordination of the interaction of the main factors of influence and levels of its components.
Methodology / approach. In the process of writing the article the following research methods were used: abstract-logical (at the systematization of scientific publications on the problems of management of enterprises in oil-and-fat industry, financial security of enterprises), grouping (by clustering enterprises depending on the obtained results), comparisons (by developing a model for assessing the degree of financial stability of operating activities of enterprises), coefficient (by developing a model for assessing the degree of liquidity of enterprises), formalization (by developing a matrix for diagnostics of the state of financial security of operating activities of enterprises), generalization (by formulating research conclusions).
Results. In the process of research, the system of complex evaluation of degrees and levels of the main components of financial security of the operations activities of the enterprises in oil-and-fat industry was substantiated: a model for assessing the financial stability of operating activities and a model for assessing the liquidity of an enterprise. A diagnostic matrix for the financial security status of the operational activities of the enterprises in oil-and-fat industry was developed to define the security boundaries of the operation activity of enterprises. Approbation of the proposed system for assessing the financial security of operating activities on the materials of the selected group of enterprises in the oil-and-fat industry made it possible to analyze the dynamics of the state of the financial security of their operating activities.
Originality / scientific novelty of the research is to develop tools for a comprehensive evaluation of the financial security of the operating activities of the enterprises in oil-and-fat industry. The method of determining the impact of the degree of financial stability and liquidity of the enterprise on the level of financial security of current activities was improved. For the first time, a nine-quadrant matrix of the state of financial security of operating activities of enterprises depending on the ratio of the degrees of the above factors was substantiated.
Practical value / implications. The use of the proposed system of financial security evaluation of operating activities of the enterprise, according to the authors, can serve as an effective mechanism for managing the financing current activities of enterprises in oil-and-fat industry and become an informative tool for factor analysis in managing their overall financial security.
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