Innovative approaches to financial asset management in a globalized economy

Abstract

The article explores modern innovative approaches to financial asset management in the context of globalization processes within the global economy. The aim of the study is to identify key drivers of the digital transformation of the financial sector that affect the effectiveness of asset management amid increasing integration of international markets. It is noted that the globalization of financial flows and the intensification of transnational economic ties are shaping a new paradigm for the functioning of the financial system, which necessitates the renewal of traditional management approaches. The transformation of conventional asset management methods under the influence of digitalization, automation of financial processes, and the use of intelligent algorithms is analyzed. Particular attention is paid to assessing the role of fintech solutions, artificial intelligence, blockchain technologies, and ESG factors in shaping a comprehensive approach to financial resource management. The advantages and challenges associated with the implementation of decentralized financial platforms, the use of smart contracts, and the integration of environmental and social criteria into financial strategies are examined. A conceptual model of integrated financial asset management is proposed, taking into account global economic challenges, the risks of digital transformation, and the growing turbulence of the financial environment. The research methodology is based on comparative analysis, synthesis of modern approaches, systematization of academic sources, and examination of international practices. The findings highlight the need to reconsider asset management functions with an emphasis on innovation, flexibility, and resilience to change. The conclusions substantiate prospective directions for the development of asset management methodology, among which priority is given to the implementation of adaptive digital models, the expansion of artificial intelligence applications in financial market analytics, and the integration of sustainable development principles into corporate financial strategies.