The Methodological Foundations for Developing New and Improving Existing Methods for Assessing the Probability of Bankruptcy of Ukrainian Enterprises

The article explores the methodological foundations for the development and improvement of bankruptcy probability assessment methods for Ukrainian enterprises. In the context of economic instability caused by global crises, warfare, and political uncertainty, accurate bankruptcy forecasting is critically important for ensuring financial stability at both micro and macro levels. The study analyzes the scientific works of Ukrainian economists, emphasizing the need to adapt existing models to Ukraine’s unique economic conditions, particularly variable inflation, tax policy, and sectoral risks. The article highlights the importance of developing specialized methodologies for various sectors of the economy – such as agriculture, banking, and industry – to address their specific challenges. The article proposes the integration of both quantitative and qualitative indicators to enhance the accuracy of bankruptcy probability assessments. Additionally, a prospective direction for the use of modern tools, such as artificial intelligence and machine learning, has been identified, which allow for the analysis of large volumes of data and the identification of complex relationships. The article substantiates the necessity for developing a national bankruptcy model that will take into account the unique economic conditions, regulatory environment, and sociopolitical factors of Ukraine. This approach will enhance the accuracy of forecasting crisis situations, strengthen the resilience and financial stability of Ukrainian enterprises.