Albohabeeb, Waael Abdulaali Duair and Abbas, Hasan Khayoon and Abdulkareem, Mohammed Ghassan and Abbas, Yasir Abdullah (2026) THE IMPACT OF ARTIFICIAL INTELLIGENCE APPLICATIONS ON IMPROVING INVESTMENT PERFORMANCE: EVIDENCE FROM DEVELOPING MARKETS. Journal of Artificial Intelligence and Digital Economy, 3 (10). ISSN 3032-1077

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Abstract

Objective: This paper investigates the relation among the artificial intelligence (AI) and investment performance in developing country namely Malaysia. AI supports the accuracy and speed of risk administration and investment tools and proposals for powerful prediction, nevertheless it does not change human knowledge. Method: This study used 118 Malaysian firms from 2019 to 2024 as a developing market, used OLS as the regression method, and used secondary data from DataStream and annual reports. Results: The results found a positively and significantly association among AI and investment performance. Contributing to the development of AI to attract more foreign direct investment by supporting the business sector and identifying promising opportunities. Novelty: This study analyzes the development of AI, a key driver of financial activity in Malaysian markets, through a simple technological tool. AI drives innovation and improves financial market performance. It is a strategic tool that can drive financial excellence in an exceptionally dynamic context, particularly in developing markets.

Item Type:	Article
Uncontrolled Keywords:	Artificial Intelligence Algorithms, Investment performance, Developing markets
Subjects:	H Social Sciences
Depositing User:	admin eprints
Date Deposited:	16 Oct 2026 14:51
Last Modified:	16 Oct 2026 14:51
URI:	http://eprints.umsida.ac.id/id/eprint/17212

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