Assessment of bank's financial security levels based on a comprehensive index using information technology

Abstract

The article considers the issues of assessing the level of financial security of the bank. An analysis of existing approaches to solving this problem. A scientific and methodological approach based on the application of comprehensive assessment technology is proposed. The computational algorithm is presented in the form of a four-stage procedure, which contains the identification of the initial data set, their normalization, calculation of the partial composite indexes, and a comprehensive index of financial security. Results have interpretation. Determining the levels of financial security and the limits of the relevant integrated indicator is based on the analysis of the configuration of objects in the two-scale space of partial composite indexes, which is based on the division of the set of initial indicators by content characteristics. The results of the grouping generally coincided with the results of the banks ranking according to the rating assessment of their stability, presented in official statistics. The article presents the practical implementation of the proposed computational procedure. To automate calculations and the possibility of scenario modeling, an electronic form of a spreadsheet was created with the help of form controls. The obtained results allowed us to identify the number of levels of financial security and their boundaries.

Machine learning for prediction of emergent economy dynamics

“…The developed model allows managing the risks of the project to maximize the probability of its successful implementation, to compare alternative projects and choose less risky, to minimize the level of unforeseen costs of the project. This article highlights further research by the authors, begun in [43,44,45,46]. The article "Modeling structural changes in the regional economic development of Ukraine during the COVID-19 pandemic" [47] by Pavlo M. Hryhoruk (figure 8), Nila A. Khrushch and Svitlana S. Grygoruk investigates the issues of evaluating structural changes in the regions' economic development based on the comprehensive index assessment technology.…”