Data Analysis Support of Artificial Intelligence in Financial Investment Decision-Making
Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v5i5.2840
Abstract
In the rapidly evolving field of fintech, artificial intelligence (AI) has become an indispensable tool in financial investment decision-making. By applying AI technologies, decision-makers can improve decision-making efficiency and enhance the accuracy of predictive analysis, providing new insights for investors. This paper explores AI’s data analysis support in financial investment decisions, focusing on model prediction, risk management, and trading strategy optimization. The aim is to improve the efficiency of investment decision-making and reduce investment risks.
Keywords
artificial intelligence; financial investment; data analysis; risk management
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[1] Yang Ruiqiang. Innovative Research on Financial Investment Management Strategies for Enterprises in the New Era [J]. Modern Business, 2024, (13): 126-129.
[2] Ling Ziqiang. Research on Financial Investment Management Strategies of Enterprises in the Digital Economy Era [J]. Chinese and Foreign Enterprise Culture, 2024, (05): 41-43.
[3] Yu Jie. Research on the Impact of Fintech on the Investment Structure Preferences of Enterprises [D]. Shandong Normal University, 2024.
[4] Zhang Qin. Analysis of Digital Finance and Financial Investment Behavior of Real Enterprises [J]. Mass Investment Guide, 2024, (11): 28-30.
[5]Černevičienė J, Kabašinskas A. Review of multi-criteria decision-making methods in finance using explainable artificial intelligence[J]. Frontiers in artificial intelligence, 2022, 5: 827584.
[6]Izanloo M, Aslani A, Zahedi R. Development of a Machine learning assessment method for renewable energy investment decision making[J]. Applied Energy, 2022, 327: 120096.
[7]Rane N L, Choudhary S P, Rane J. Artificial Intelligence-driven corporate finance: enhancing efficiency and decision-making through machine learning, natural language processing, and robotic process automation in corporate governance and sustainability[J]. Studies in Economics and Business Relations, 2024, 5(2): 1-22.
[2] Ling Ziqiang. Research on Financial Investment Management Strategies of Enterprises in the Digital Economy Era [J]. Chinese and Foreign Enterprise Culture, 2024, (05): 41-43.
[3] Yu Jie. Research on the Impact of Fintech on the Investment Structure Preferences of Enterprises [D]. Shandong Normal University, 2024.
[4] Zhang Qin. Analysis of Digital Finance and Financial Investment Behavior of Real Enterprises [J]. Mass Investment Guide, 2024, (11): 28-30.
[5]Černevičienė J, Kabašinskas A. Review of multi-criteria decision-making methods in finance using explainable artificial intelligence[J]. Frontiers in artificial intelligence, 2022, 5: 827584.
[6]Izanloo M, Aslani A, Zahedi R. Development of a Machine learning assessment method for renewable energy investment decision making[J]. Applied Energy, 2022, 327: 120096.
[7]Rane N L, Choudhary S P, Rane J. Artificial Intelligence-driven corporate finance: enhancing efficiency and decision-making through machine learning, natural language processing, and robotic process automation in corporate governance and sustainability[J]. Studies in Economics and Business Relations, 2024, 5(2): 1-22.
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