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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM27576

Artificial Intelligence Integration in Financial Decision-Making: Empirical Insights from Emerging Markets

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM27576

Volume:

7 |

12 |

Dec 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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.

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Authors

MK

Manoj Kumar

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Abstract

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

Artificial Intelligence Financial Decision-Making Accounting Innovation Risk Management FinTech Emerging Markets.

Cite This Article

Manoj Kumar, "Artificial Intelligence Integration in Financial Decision-Making: Empirical Insights from Emerging Markets," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 12, Dec 2023. https://doi.org/10.55041/IJSREM27576

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Publication Date

12/28/2023

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