مجلة الإبداع
Volume 16, Numéro 1, Pages 40-55
2026-01-15
Authors : Nechachda Chahrazed .
Abstract: This study aims to analyze the pivotal role played by Artificial Intelligence (AI) tools—particularly Machine Learning (ML) and Deep Learning (DL)—in enhancing financial market efficiency. The research focuses on how these tools help reduce information asymmetry, improve price prediction accuracy, and accelerate transaction execution, thereby positively influencing the three forms of market efficiency (weak, semi-strong, and strong). The study concludes that AI significantly contributes to improving market efficiency by increasing the accuracy of predictive models compared to traditional ones and by mitigating behavioral biases. Furthermore, global evidence indicates that AI-driven mechanisms, such as algorithmic trading and regulatory technology (RegTech), have strengthened market liquidity and reduced bid-ask spreads, supporting the semi-strong form of market efficiency. Keywords: Artificial Intelligence, Financial Market Efficiency, Machine Learning, Fin Tech JEL Classification Codes: G14, G17, C45, O33, L86
Artificial Intelligence ; Financial Market Efficiency ; Machine Learning ; Fin Tech
بوسالم أحلام
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عابد يوسف
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ص 117-132.
Yahia Zeghoudi
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pages 74-88.
Said Houari Amel
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pages 257-268.
Fettouhi Khadidja
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pages 265-278.
Troubia Nadir
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Larabi Moustapha
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pages 276-289.