Assessment of financial and economic security of the region (based on the relevant statistics of the Donetsk region)

The improvement of global Internet access and the COVID-19 pandemic, which necessitated mass testing of online teaching methods, have forwarded the competition between higher education institutions from the regional level and the struggle for the rich student into the competition for students in all countries. The paper aims to determine the influence of the rating of higher education institutions on the interest of Internet users by conducting a comparative analysis of the popularity of the official names of higher education institutions in search queries in Ukraine and Poland. To do this, a comparative analysis of the change in the interest in leading higher education institutions in Ukraine and Poland in search queries in the Google search engine is carried out. The analysis is performed using the Google Trends web application. As a result, it is found that a high position of the university in the national ranking does not guarantee more search queries about it on the Internet by both national Internet users and users from the neighboring country. In general, Internet users continue to be most interested in universities located in their region at the time of the search.

The generalization of scientific approaches to the assessment of the financial stability of the banking system has demonstrated the multivariance of views on structuring and listing of financial stability indicators and has made it possible to distinguish three main ones: on the basis of macroeconomic and macro financial indicators; on the basis of separate indicators; based on synthetic indicators. It is proved that the latter is most effective since the large number and variability of financial ratios used by different authors to assess the level of financial stability of banking systems does not allow for unambiguous results. A hierarchic structure of indicators of the stability of the banking system is proposed, which is characterized by the simultaneous existence of a certain number, not ordered in a heterarchic manner. In accordance with it, the integral index of financial stability of the banking system includes subindices: stability of the NBU, stability of system banks, banks with foreign capital, banks with private capital, financial vulnerability of the banking system. The expediency of accounting for the indicators of financial risk assessment: credit, liquidity risk, interest rate, investment risk, unstable resource base risk, which are characterized by such financial ratios as part of provisions for depreciation of loans in the loan portfolio, is justified in the composition of such a synthetic indicator of the financial stability of the banking system; the norm of instant liquidity; net interest margin; part of the provision for depreciation of securities in the securities portfolio; coefficient of instability of the resource base. Also, indicators for assessing the stability of the central bank were proposed: indicators of the adequacy of reserves; indicators of the effectiveness of monetary policy; indicators of the effectiveness of foreign exchange regulation; indicators of compliance of banking supervision with the main principles of efficiency. This approach will allow taking into account all the structural components of the banking system in the process of assessing financial stability, on the one hand, and in time to identify potential threats to the loss of stability, on the other.

The paper deals with the assessment of the socio-economic development of Ukrainian regions using Data Science methods and multidimensional analysis, including taxonomy, n-dimensional classification, and ensemble decision trees methods. The methodological bases of economic regions devel¬opment by the economic and mathematical modeling methods were investigated. The necessity of improving and further developing estimation models of the regional economic development using business analytics tools and multidimensional scaling methods was investigated.
The ensemble decision trees methods was applied for the classification model of economic development of the Ukrainian regions according to the conceptual base of the research on regional econom¬ic development. It will increase the quality level of administrative decisions making on regional de¬velopment asymmetry equalization. It is determined that in Ukraine, there is a significant imbalance of regions clusters with high and low economic level. Here was investigated the relationship between the two groups of economic development indicators – the indicators of the economic development regional performance and the group of economic potential. The results of the classification model allow identifying the set of indicators that have significant impact on the overall economic development. The developed ensemble model allows carrying out qualitative recognition and prediction of the state probability of economic development. It will improve the quality of decision making pro¬cesses on equalization of regional development asymmetry.
The further research gives the possibility to develop the system of levers directions of regional development imbalance equalization, to determine priority vectors of sustainable development of both the regions and the country.