Application of Intelligent Portfolio Management System in Financial Field: Comprehensive Analysis Based on Accounting and Financial Knowledge

Abstract

In the current digital financial environment, portfolio management is highly valued, but traditional approaches face challenges. This study aims to explore the application of intelligent portfolio management systems in the financial field and design the system through accounting and financial knowledge to improve the efficiency of decision-making. Comprehensive research methods were adopted to collect financial and market data, and tools such as machine learning and data mining were used for in-depth analysis. Finally, an intelligent portfolio management system was designed and constructed, and its application effect was verified through empirical research. The research objects are financial market participants, and the data comes from the real market. This study chooses JPMorgan Chase and BlackRock as the research objects. These two well-known financial institutions have rich experience and resources in portfolio management, which will provide in-depth case analysis and data support for this study. The results show that the intelligent system can improve the decision-making efficiency, and put forward the technical challenges and countermeasures to promote the further development of the system.