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June 17, 2026Open Access

Artificial Intelligence in Quantitative Finance: Opportunities, Limitations, and the Future of Investment Decision-Making

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Authors

KMKabir Maske

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Overview

Review examines AI's role in investment decision-making, highlighting opportunities and challenges in finance.

Key Points

  • This paper explores the impact of AI and ML on quantitative finance, focusing on their applications in investment decision-making.
  • Review of theoretical foundations in finance, including MPT and EMH.
  • Evaluation of AI applications across five stages: prediction, portfolio construction, risk management, trade execution, and governance.
  • Analysis of key challenges in AI-driven financial systems, such as overfitting and regulatory considerations.
  • AI and ML significantly enhance asset return prediction and portfolio optimization.
  • Challenges include data quality and model interpretability, which affect financial decision-making.
  • Future investment approaches will increasingly blend human judgment with advanced AI capabilities.

Cite This Study

Kabir Maske (2026) studied this question.

synapsesocial.com/papers/6a32398fd50b63ecad204f7chttps://doi.org/10.5281/zenodo.20691819
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