DOI: 10.33917/mic-1.120.2025.88-95

Presents a methodological basis for assessing financial risks, which includes a probabilistic assessment method with finding the variation coefficient, the Delphi method, Savage criteria and Hurwitz criteria, as well as an expert assessment method based on constructing a «decision tree», a financial risk map and scenario analysis. An assessment option is given using the example of the largest regional monopolist in the gas sector of industry.

References:

1. Financial Risk Management: textbook and practical training for universities / edited by I. P. Khominich. 3rd ed., revised and enlarged. Moscow: Yurait Publishing House, 2024. 582 p.

2. Akaeva V.R., Kuzmin M.S., Zhukovskaya I.V. Actual problems of digitalization of companies on the example of the industrial sector. Microeconomics. 2023;4(111):51-55.

3. Zhukovskaya I.V. Specifics of risk management of investment projects in industry. Economics and Management. 2010;2:53-56.

4. Analytical data of the electronic database system «Kontur-Fokus» and «SBIS».

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».

There is justified the increased need to analyze and evaluate an investment project in the interdependence of its three parties (in three dimension) – efficiency, risks and timing. Specified the concept and proposed the classification of financial risks. The impact of the time parameters of the investment project on its economic efficiency and financial risks has been analyzed. Considered the specifics of the relationship between economic efficiency, financial risks and the time parameters of the project when financing it with borrowed funds.

DOI: 10.33917/mic-2.91.2020.23-28

The article investigated the impact of changes in the housing finance scheme on economic efficiency, financial risks and project timing. Factors of reducing economic efficiency in the transition to project financing are assessed. There is revealed the increase of financial risks as a result of rising market, inflation and credit risks. It was concluded that the efficiency of investment projects has been reduced, especially on the basis of calculations of net discounted income in the implementation of project financing in housing construction. Proposed a number of priority measures to facilitate the transition of housing construction to project financing.