Перегляд за Автор "Lavrov, Ruslan"

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  • Ескіз недоступний
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    Competitiveness of the agrarian sector of Ukraine in the conditions of integration to the european market
    (2021) Lavrov, Ruslan; Korniichuk, Oleksandr; Draskovic, Mimo; Petrunenko, Iaroslav; Varshavska, Natalia; Khadzhynov, Illya; Kozlovskyi, Serhii
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    Economic-mathematical modeling and forecasting of competitiveness level of agricultural sector of Ukraine by means of theory of fuzzy sets under conditions of integration into European market
    (2019) Kozlovskyi, Serhii; Khadzhynov, Illya; Lavrov, Ruslan; Skydan, Oleh; Ivanyuta, Natalya; Varshavska, Natalia
    The processes of integration of Ukraine into the European Economic Community, the presence of powerful competitors in the European markets encourage the formation of a set of measures with the distinction of tools to ensure the competitiveness of the agro-industrial complex of the state. The necessity of ensuring the competitiveness of Ukraine's agro-industrial complex on the basis of determining the competitive advantages dictate the urgency of scientific search for new methods, forms, tools for its enhancement, which will further promote the market relations in Ukraine and will have a direct impact on the well-being of the population. The aim of the work is to develop an innovative economic-mathematical model for assessing and forecasting the grade of competitiveness of the agricultural sector of Ukraine based on fuzzy sets, which will allow acceleration of the process of Ukraine integration into the European market. The object of the research is the process of ensuring the competitiveness of the Ukrainian agricultural sector. The subject of the research is methodological aspects of economic and mathematical modeling of the competitiveness of the agrarian sector of Ukraine. The methodology of the study is based on the principles and mathematical provisions of fuzzy sets, which allows to use both qualitative and quantitative indicators of influence on the process under study. As a result of the research, based on fuzzy set theory, which allows taking into account both quantitative and qualitative factors of influence on the level of competitiveness, an innovative economic-mathematical model of valuation and forecasting of the grade of competitiveness of the agricultural sector of Ukraine has been developed. The classification of factors influencing the level of agrarian industry competitiveness has been formed. The forecast of the grade of competitiveness of the agricultural sector of Ukraine in 2025 has been made, which will allow formulating a strategy of development of the agricultural sector of Ukraine.
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    Management and comprehensive assessment of the probability of bankruptcy of Ukrainian enterprises based on the methods of fuzzy sets theory
    (2019) Kozlovskyi, Serhii; Butyrskyi, Andrii; Poliakov, Boris; Bobkova, Antonina; Lavrov, Ruslan; Ivanyuta, Natalya
    Managing and evaluating the probability of bankruptcy of Ukrainian enterprises is one of the most complex and relevant problems of the economy and management. In the context of Ukraine’s integration into the international space, there is an arising issue of assessing the bankruptcy of Ukrainian enterprises that meets international finan - cial standards and allows administering this process. A qualitative assessment of the bankruptcy of an enterprise is possible only using artificial intelligence methods – the fuzzy sets method, which allows including qualitative and quantitative indicators to the model for assessing bankruptcy of enterprises in Ukraine. The aim of the article is to improve the existing method for assessing the probability of bankruptcy of Ukrainian enterprises on the basis of the fuzzy sets method, which will include indicators of international financial reporting and allow more efficient administration and management of this process. The subject of the research is the process of formalizing the method of the enterprise bankruptcy assessment in accordance with the indicators of International Financial Reporting Standards. The study offers a mechanism for a comprehensive assessment of the probability of bankruptcy of Ukrainian enterprises with the use of the methods of fuzzy sets, which is based on international financial indicators: current ratio, payable turnover ratio, equity turnover ratio, return on assets, equity-to-debt ratio. The mechanism allows quickly managing bankruptcy conditions. In order to administer the economic activity of the bankrupt enterprises, based on the theory of a fuzzy sets, a system of enterprises management (Missing text fragment???), which takes into account (Missing text fragment???) of international financial reporting
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    Special aspects of the banking institutions rating: a case for Ukraine
    (2019) Lavrov, Ruslan; Beschastnyi, Viktor; Nikolenko, Liudmyla; Yousuf, Allam; Kozlovskyi, Serhii; Sadchykova, Iryna
    In today’s rapidly changing global financial market, potential counterparties are in dire need of reliable and timely information on the partner bank performance in order to find the most successful one in terms of conducting credit and deposit transactions. Public ratings of banks serve to solve this problem and are considered as one of the effective tools for choosing such a bank. In Ukraine, the rating of banking institutions is not widely used by business entities because of the imperfect methodology of analysis of banks, a rating process that is closed to the public, the assignment of an unreliable rating to selected banks, the use of obtained ratings by banks for marketing purposes, etc. Therefore, the purpose of the study is to improve the existing rating systems for Ukrainian environment. International and domestic regulatory documents on rating, data of the National Bank of Ukraine and commercial banks, materials of rating agencies, as well as scientific publications of well-known Ukrainian and foreign scientists made the theoretical basis of the study. It is proposed to take a number of priority measures to legislatively regulate the activities of bodies for rating scores of banking institutions, to create a branched infrastructure of the rating market and to establish effective interaction of its participants, to end demonopolization and weaken entry barriers and to introduce new agencies in the rating market, to identify new rating methodologies. The conclusions are aimed at the development of a civilized and transparent rating business in Ukraine, which will ultimately contribute to the timely detection and neutralization of crisis phenomena in the banking sector, restoring confidence between banks and their clients, creating the preconditions for making sound business decisions.