Vol. 3 No. 2 (2023): African Journal of Artificial Intelligence and Sustainable Development
Articles

The Role of Artificial Intelligence in Optimizing Asset Management

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  • Dr. Ying Liu
Dr. Ying Liu
Associate Professor of Computer Science, Nanyang Technological University (NTU), Singapore
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Published 14-09-2023

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
D. Y. Liu, “The Role of Artificial Intelligence in Optimizing Asset Management”, African J. of Artificial Int. and Sust. Dev., vol. 3, no. 2, pp. 461–483, Sep. 2023, Accessed: Dec. 18, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/215

Abstract

Asset management is a fund management approach that relies on forecasts and studies in order to reach an investment target. In asset management, a range of finance and investment concepts are used, such as money flow, valuation, and cash management, to track and maximize the value of investments. Management of assets is the best answer for efficiently managing an organization's resources to ensure continuous economic activity. It responds to inquiries such as what to invest in and how much of a business's financial resources should be spent. It's concerning where they are being deposited, for what period, and what equities and obligations should be purchased and sold.

As such, this management tool offers an integrated strategy for better navigation across a variety of asset management situations. Traditionally, everyone used to invest their own money. Nevertheless, in the future, the financial situation for anyone is constantly deteriorating due to a lack of cash. The only technique to raise or expand the cash is to invest, and in which equities, bonds, or industries they need to invest their money will be guided by asset management. It is essential to find the fund managers who perform all the market operations exclusively in accordance with the performance. Different drawbacks of standard portfolio management strategies, such as the dynamic nature of the marketplace, defects in historical market trends, the difficulty in accumulating data, and the slow response time, are found. AI selects a variety of asset management strategies based on these drawbacks to overcome them. It provides several more lucrative outcomes. The conclusion of the investment is greater thanks to the improved accuracy of forecasts.

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