INSTITUTIONAL TRANSFORMATIONS AND INSTRUMENTAL INNOVATIONS IN THE SYSTEM OF FINANCIAL ANALYSIS UNDER CONDITIONS OF INSTABILITY

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Keywords

financial analysis
institutional transformations
instrumental innovations
digitalization
financial technologies
risk-oriented analysis
economic instability

How to Cite

Skyba, H., Bezhenar, I., & Lytovchenko, R. (2026). INSTITUTIONAL TRANSFORMATIONS AND INSTRUMENTAL INNOVATIONS IN THE SYSTEM OF FINANCIAL ANALYSIS UNDER CONDITIONS OF INSTABILITY. Tourism and Hospitality Industry in Central and Eastern Europe, (15), 152-161. https://doi.org/10.32782/tourismhospcee-15-18

Abstract

Abstract. Modern economic conditions are characterized by a high level of instability caused by geopolitical conflicts, inflationary processes, transformation of financial markets, and the rapid spread of digital technologies. Under such circumstances, traditional approaches to financial analysis are losing their effectiveness, as they fail to ensure timely risk identification, adequate response to external challenges, and the development of well-grounded managerial decisions. This situation actualizes the need to transform the financial analysis system based on institutional changes and the implementation of innovative analytical tools. The study employs a set of general scientific and special methods, including analysis and synthesis, comparative analysis, and a systemic approach, as well as economic and analytical methods to substantiate the directions of improvement in the methodology of financial analysis. The use of these methods made it possible to comprehensively assess the impact of external and internal factors on the transformation of financial analysis in modern conditions. It has been determined that institutional transformations, including changes in regulatory frameworks, market structures, and corporate governance, as well as the rapid development of financial technologies, significantly influence the information base and tools of financial analysis. It is substantiated that modern financial analysis is increasingly oriented toward the use of predictive models, artificial intelligence, big data technologies, and risk-oriented approaches, which enhance the quality and timeliness of analytical results. The necessity of transitioning from periodic to continuous monitoring and scenario-based analysis in conditions of uncertainty and instability is proven. Such an approach allows for the formation of flexible management strategies and increases the adaptability of enterprises to dynamic environmental changes. Prospects for further research are associated with the development of adaptive models of financial analysis, the improvement of methodological support, and the integration of digital technologies into the system of managerial decision-making, which will contribute to increasing the efficiency and sustainability of enterprise development.

https://doi.org/10.32782/tourismhospcee-15-18
PDF (Українська)

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