Convergence of financial analysis in the latest management paradigm: visualization of its general structure and main concepts

Abstract

Introduction. The current stage of economic and business development is characterized by profound transformations that affect all aspects of management, including financial analysis. The design of traditional financial analysis is changing, transforming into an integrated, digitalized and strategically oriented system that combines classical methods with modern information technologies, takes into account operational activities, market trends and behavioral factors, combining them into a comprehensive analytical model. New challenges require the transformation of the theoretical and methodological foundations of financial analysis by revising traditional approaches and integrating new ones that take into account the dynamism, uncertainty and complexity of the modern business environment, as well as current concepts, theories and practical challenges.

Purpose of the study. The purpose of the article is to analyze the main trends in financial analysis in the context of the modern management paradigm, the convergent evolution of which transforms the design and outlines the priority concepts of the new general structure of financial analysis.

Methods. To achieve the outlined goal, a set of scientific research methods was used, providing a comprehensive analysis of the latest paradigm of financial analysis and management. In particular: the method of theoretical generalization was used to systematize scientific approaches and concepts; comparative analysis was used to evaluate traditional and modern methodologies of financial analysis; a systemic approach; the method of structural-functional analysis contributed to the study of the relationships between the components of financial analysis in the context of its transformation; inductive and deductive methods.

Results. The article outlines modern trends and conceptual changes in financial analysis in the context of the latest management paradigm. The need for its transformation through the integration of traditional approaches with modern methods that take into account digital transformation, ESG factors, behavioral economics and algorithmic analysis of big data is proven. The key concepts of the new general framework of financial analysis are considered, in particular methodological triangulation, enterprise life cycle analysis, behavioral approach, predictive orientation and financial security. The importance of innovative technologies, such as machine learning, blockchain, cognitive analysis and cloud computing, in increasing the flexibility and efficiency of financial analysis is highlighted. It is substantiated that the convergence of financial analysis with the latest concepts contributes to its adaptation to the conditions of uncertainty of the modern market, ensures the efficiency of management decision-making and forms the long-term financial sustainability of enterprises.

Conclusions. Thus, modern financial analysis requires transformation through the integration of innovative approaches that take into account digital transformation, ESG factors, behavioral aspects and big data analytics. This ensures its flexibility, predictiveness and adaptability to conditions of uncertainty, contributing to the stability and efficiency of management decisions in a dynamic business environment.

Prospect. The lack of a complete, systematized methodology of financial analysis is a serious problem that limits its effectiveness and practical value. To overcome this problem, it is necessary to develop a new, modern approach that will integrate financial and non- financial indicators and factors, take into account the current challenges of modern times and will be aimed at supporting management decision-making taking into account the interests of all interested parties. This methodology will improve the quality of financial analysis, ensure its adaptation to modern conditions and turn it into a powerful business management tool.