Impact of Artificial Intelligence on Financial Markets

Artificial Intelligence (AI) has rapidly transformed financial markets, enhancing efficiency, precision, and scalability in trading, risk management, fraud detection, and personalization. Through advanced machine learning models, AI has enabled high-frequency trading, predictive risk assessment, and robust compliance processes, which streamline operations and improve market responsiveness. However, the complexity and opacity of AI systems introduce ethical concerns and regulatory challenges, especially regarding model interpretability and potential biases. This paper examines the role of AI across financial functions, highlights both advantages and limitations compared to traditional methods, and discusses future directions for integrating hybrid models and adaptive trading strategies. While AI offers considerable benefits, addressing its ethical and regulatory implications will be essential to harnessing its full potential within financial markets.

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Publication Details

Journal
International Journal of Emerging Multidisciplinaries Social Science
Published
2024-11-13
DOI
https://doi.org/10.54938/ijemdss.2024.03.1.359
Citations
6
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
2.94
Controls
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article

Impact of Artificial Intelligence on Financial Markets

Fahad Masood
6 citations
International Journal of Emerging Multidisciplinaries Social Science
Stock Market Forecasting Methods
2.94
article

Impact of Artificial Intelligence on Financial Markets

Fahad Masood
article en
6 citations

Abstract

Artificial Intelligence (AI) has rapidly transformed financial markets, enhancing efficiency, precision, and scalability in trading, risk management, fraud detection, and personalization. Through advanced machine learning models, AI has enabled high-frequency trading, predictive risk assessment, and robust compliance processes, which streamline operations and improve market responsiveness. However, the complexity and opacity of AI systems introduce ethical concerns and regulatory challenges, especially regarding model interpretability and potential biases. This paper examines the role of AI across financial functions, highlights both advantages and limitations compared to traditional methods, and discusses future directions for integrating hybrid models and adaptive trading strategies. While AI offers considerable benefits, addressing its ethical and regulatory implications will be essential to harnessing its full potential within financial markets.

International Journal of Emerging Multidisciplinaries Social ScienceVol. 3(1)
Middlesex University London (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 8%
Stock Market Forecasting Methods
2.94
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