Ruslan Lavrov

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.

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 financial 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 takes into account the international financial reporting.

The study aims to investigate the relationships between the volume of net migration and the economic development of individual European countries, which will make it possible to forecast the level of GDP and strengthen their migration policy. Correlation-regression analysis was used based on statistical data from Eurostat and the State Statistics Service of Ukraine for the period 2014−2021 for selected European countries (the EU-27 member states, Switzerland, and Ukraine). The correlation-regression analysis showed a relationship between the volume of net migration and the level of GDP. The linear correlation equations forecasted the value of the GDP level depending on the influence of a single factor – the volume of net migration. The attention is focused on the importance of migration, which ensures economic growth for Poland. It is attractive due to a simpler mechanism for moving immigrants than in other EU-27 countries, ease of language learning and easier adaptation, territorial proximity, and a higher standard of living compared to neighboring countries that were part of the Soviet Union. Thus, an increase in net migration to Poland by 1% will lead to an increase in gross domestic product by 1.43 million euros. Due to Russia’s war against Ukraine, net migration from Ukraine to Poland has increased significantly, potentially increasing Poland’s GDP in 2023 by 0.08% or 529.54 million euros.