DOI: 10.33917/mic-4.117.2024.65-71

Presents an analysis of methods for reducing financial losses in a company; types of risks are systematized; an algorithm for monitoring and minimizing financial risks is presented using the Altman model and the Taffler model as an example.

References:

1. Galimulina F.F., Zhukovskaya I.V., Komissarova I.P., Shinkevich A.I., Mayorova A.N., Astafyeva I.A., Klimova N.V., Nabiullina K.R. Technology Platforms as an Efficient Tool to Modernize Russia’s Economy. International Journal of Economics and Financial Issues. 2016;6(1):163–168.

2. Zhukovskaya I.V. Specifics of Investment Project Risk Management in Industry. Economics and Management. 2010;2:53–56.

3. Financial Risk Management: Textbook and Workshop for Universities / I.P. Khominich [et al.]; edited by I.P. Khominich. 3rd ed., revised and enlarged. Moscow: Yurait Publishing House, 2024. 582 p.

4. Data from the electronic database system «Kontur-Fokus» and «SBIS».

DOI: 10.33917/mic-3.98.2021.5-14

The purpose of this work is to prepare proposals for the use of simulation methods for solving the problems of planning and forecasting the financial results of credit institutions. The article addresses the following issues: 1) an analysis of the activities of credit institutions of the Russian Federation was carried out, based on the results of which “pain points” were identified – unresolved problems, including the management of overdue loan debt; 2) the feasibility of using simulation modeling methods for the development of scenarios for the development of commercial banks was justified; 3) an approach based on simulation modeling was proposed to determine the impact of the amount of overdue debt on the indicators and economic standards of activity.