Assessment of the impact of financial instruments on the economic security of enterprises

The article is devoted to the study of theoretical, methodological, and applied aspects of the impact of financial instruments on the economic security of enterprises, the relevance of which is significantly increasing in the context of global instability, heightened geopolitical tensions, and unfolding inflationary processes. The authors proceed from the assumption that financial instruments are a dual phenomenon: on the one hand, they offer opportunities for raising capital and hedging risks, and on the other hand, their irrational use can lead to significant losses and bankruptcy. The problem is particularly acute in connection with the war in Ukraine and the emergence of new digital financial assets, which create both new opportunities and threats. The aim of this work is to study this impact and develop practical recommendations for the effective use of financial instruments to strengthen economic security. To achieve this goal, the authors analyzed and systematized modern scientific approaches to the interpretation of the concept of “economic security of an enterprise,” in particular, resource-functional, systemic, institutional, riskological, and adaptive-innovative approaches. The paper highlights insufficiently researched aspects of the problem, including the lack of comprehensive integrated models and the imperfection of classifications of instruments based on their impact on security. The key scientific and practical result of the article is the development of its own classification of financial instruments according to the criterion of their impact on economic security (liquidity, investment, hedging, credit and banking, digital, etc.) and the systematization of the main groups of risks that threaten the financial stability of enterprises (financial, credit, operational, regulatory, digital, reputational, etc.). On this basis, a preventive monitoring model is proposed, based on a system of key risk indicators (KRI) with defined signal thresholds for rapid response to critical trends. Based on the analysis, a set of methodological recommendations for enterprises has been developed. In particular, the authors emphasize the need to diversify sources of financing through non-banking instruments (leasing, factoring), actively use insurance and hedging, introduce digital risk dashboards, and develop a formalized internal policy for managing financial instruments. The authors link the prospects for further research to the empirical testing of the proposed model, the development of industry strategies, and the application of machine learning methods in economic security management.