MODERN RISK MANAGEMENT MODELS WITH A SYSTEMIC APPROACH

Abstract

The article explores the essence of risk management based on system analysis. The main principles and advantages of system analysis in risk management are identified. It is established that the use of a system model as the only source of truth for risk and reliability analysis leads to a consistent and complete assessment. The main risk management models are investigated and the components of system analysis in the risk management model are identified. The areas of application of the considered risk management models are presented. The objective of the study is to analyze risk management models with a systemic approach. Methodology. The research methodology includes an analysis of scientific literature, its critical understanding, synthesis. The use of such a methodology will provide a comprehensive and in-depth analysis of the issue, will contribute to the development of an effective risk management model that takes into account the specifics and dynamics of the modern business environment. The scientific novelty lies in the selection of the most adapted and flexible risk management models that take into account the systemic interrelationships of risks. Conclusions. This paper concludes that risk management models based on systems analysis involve identifying key elements of risk management, establishing relationships between them, and developing mathematical and logical processes for forecasting and managing risks. It has been established that risk management models contribute to the organization's flexibility, allowing it to respond quickly to changes in the external environment and internal challenges, which is a key factor in survival and development in conditions of uncertainty. The use of a systems approach involves the use of advanced methods, such as modeling of loss distributions, regression analysis, Bayesian networks, and fuzzy logic, which allows for more accurate risk assessment and forecasting.