METHOD OF FORECAST ASSESSMENT OF ENTERPRISE RISKS
The level of efficiency of the financial and economic activities of the enterprise largely depends on the financial management strategy, in the construction of which forecasting models occupy one of the leading positions. The relevance and necessity of forecasting financial and economic activities taking into account risks increases many times over in the conditions of instability and everincreasing threats. The process of risk modeling and forecasting is aimed at managing the potential consequences of the company's business decisions, allowing to evaluate the options for solutions, explore each alternative and make a choice in favor of the best solution. And the forecast of financial risks determines the threats that the enterprise could receive as a result of a decision without taking risks into account. The article presents a forecast model for decisionmaking by a controlled system under conditions of uncertainty. When calculating the complex financial risk, a set of indicators defined by the authors is used, including the parameters of financial stability, liquidity, the effect of financial and operating leverage, the weighted average cost and return on capital, industry index, etc. The totality of these indicators constitutes a set of enterprise criteria, which, together with the description of the production and financial blocks, forms the basis for formulating a multicriteria multistep enterprise management model. This model with the corresponding information and software represents the Digital Twin of the enterprise in the context of considering the problems of building Digital platforms.
Authors
- Elena Karanina (ORCID: https://orcid.org/0000-0002-5439-5912)
- Felix Ereshko (ORCID: https://orcid.org/0000-0002-1732-2204)
- Angelina V. Tkachenko
Publication Details
- Journal
- SOFT MEASUREMENTS AND COMPUTING
- Published
- 2025-01-01
- DOI
- https://doi.org/10.36871/2618-9976.2025.01.006
- Primary Topic
- Economic and Technological Systems Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00