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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM27576
Volume:
7 |
12 |
Dec 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The integration of Artificial Intelligence (AI) in finance has redefined decision-making, financial forecasting, and risk assessment. This study examines the influence of AI-driven financial analytics on firm performance across selected emerging markets. Using a balanced panel dataset of 150 firms from India, Malaysia, and Brazil over 2015–2023, this research applies both econometric and machine learning approaches to analyze how AI adoption affects profitability, risk management, and forecasting accuracy. Results show that AI implementation positively and significantly impacts firms’ return on assets (ROA) and return on equity (ROE), with AI-based forecasting models outperforming traditional regression models in predictive accuracy by 28%. Findings underscore the transformative potential of AI in financial management and provide implications for corporate strategists, auditors, and policymakers seeking sustainable digital transformation.
KEYWORDS
Publication Date
12/28/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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