Modern economic realities of Ukraine in the conditions of growing destabilizing influences of external and internal environment convincingly prove that each year the influence of various threats on the level of financial security of economic entities increases. This necessitates constant monitoring of the financial security level in order to timely detect and neutralize possible crisis phenomena as a result of its decrease. The study aims to assess the financial security level of enterprises based on the theory of comprehensive assessment. The scientific and methodical approach to design a composite index of financial security and the identifying its level based on the double use of Harrington's desirability scale is proposed. The resulting model was tested on the particular enterprise data. The proposed approach may be used for another set of partial indicators, as well as in assessing the level of financial security at the national level. The results of the study may serve as the basis for making managerial decisions on raising the business entities financial security level and public administration.

The identification of the real level of economic development of the region is an important condition to design effective regional development policy. Economic development is characterized by a large number of indicators. This study provides an approach for assessing the level of economic development based on the use of a comprehensive index, which is a convolution of initial indicators. The model involves the use of both a group of absolute indicators and a group of relative measures of dynamics. Each of the groups of indicators has its special data normalization procedure and its special method of convolution into a partial comprehensive index. The outcome of the evaluation is obtained by weighted multiplicative convolution of partial comprehensive indexes. In this study, the level of economic development of regions of Ukraine according to the data of 2017 has evaluated. As a result, Ukraine's regions were allocated into three groups: with the level of economic development above average, with the average level of economic development and with the level of development below average. The article suggests a way to determine the boundary values of the comprehensive index for grouping. Comparison of the obtained results of grouping with the results of clustering of the Ukraine's regions by the k-means method with the same data showed their identity. The article shows that Ukraine's regions can be allocated by the level of economic development into other number of groups.

Paper considers the task of assessment of regions' economic development level using composite index assessment technology. It is proposed to design composite index by block convolution of two groups of partial indicators. First group contains indicators measured in absolute scale. Second group consists of relative measures of dynamics. For each group we proposed own procedure for data normalization and own method for data convolution in partial composite index. The procedure for identification of intervals' bounds on the composite index's scale for each level of economic development is proposed to the aim of classification of Ukraine's regions. Presented means for identification of intervals' bounds of data grouping may be used to solve other tasks independently from the way of design of composite index and set of initial indicators. The results calculated may be used in the decisionmaking system as source data for further calculations, as well as a criterion for determining the socioeconomic development directions.

Solving the problems of regional development belongs to the category of strategic and most important of each country. The COVID-19 pandemic has become the biggest challenge for the world economic system, causing a significant impact on the reduction of key macroeconomic indicators, changes in business conditions, which has raised the issue of assessing the social and economic development of regions. The paper considers the application of composite index assessment technology for the consequences of COVID-19 on the development indicators of Ukraine's regions. The comparison was conducted according to the data of the first two quarters of 2019 and 2020. For the study, eight indicators were selected, which by content feature were divided into a subset of economic indicators and a subset of social indicators. A partial composite development index was designed for each subset. The principal components method was used to calculate the weights of the components. The results of the analysis showed that the COVID-19 pandemic had a greater impact on economic development: for each region, there is a decrease in the value of the indicator. While for a partial composite index of social development such a decrease is less noticeable. The reflection of the regions in the space of these composite indices showed that their structure remained virtually unchanged. The analysis of the common composite index of regional development, designed by the convolution of partial composite indices indicators, also showed a decrease in its values in 2020. The paper analyses the measures taken by the Government of Ukraine to neutralize the effects of the pandemic.

The paper is devoted to issues of assessment of the bank financial security level. The analysis of existing approaches to the solution of this problem has been carried out. The scientific-methodological approach based on the use of comprehensive index technology is proposed. The calculating algorithm is presented in the form of a four-step procedure, which contains the definition of the initial set of data, their normalization, the calculation of the comprehensive index of financial security and results interpretation. The identification of financial security levels and the boundaries of the corresponding comprehensive index is carried out on the basis of analysis of the objects' configuration in the two-scale space of partial composite indexes. It constructed by the division of the set of initial indicators using the its content characteristics. The grouping results are matched with similar results are obtained by cluster analysis and the method of the principal components. The article presents the practical implementation of the proposed calculation procedure. For this purpose, a training sample of banks and a set of initial indicators was formed. The obtained results allowed to determine the number of levels of financial security and their boundaries. The financial security levels established for the analyzed banks as a result of the calculations are conditional and determined by the sample.