📄 Abstract
This paper investigates the transformative role of Artificial Intelligence (AI) in the domain of quantitative (quant) fund management. Drawing upon primary data collected from 250 respondents encompassing fund managers, retail investors, FinTech professionals, and academics, the study examines how AI technologies such as machine learning, deep learning, natural language processing, and reinforcement learning are reshaping algorithmic trading, risk management, and portfolio optimization. The research employs descriptive statistics, Likert-scale analysis, and Pearson correlation to identify key relationships and validate hypotheses. Findings reveal that AI adoption significantly correlates with superior fund performance, though challenges related to overfitting, regulatory ambiguity, and ethical concerns persist. The paper concludes with actionable suggestions and a forward-looking outlook on the hybrid AI-human model as the future of quant finance.
🏷️ Keywords
📚 How to Cite:
Ms.Radhika J, Dr.P.R.Brinda Kalyani , THE AI–QUANT NEXUS: A COMPREHENSIVE EMPIRICAL STUDY OF INVESTOR PERCEPTIONS AND ADOPTION OF QUANTITATIVE FUNDS , Volume 12 , Issue 9, September 2026, EPRA International Journal of Multidisciplinary Research (IJMR) , Pages: 341 - 349 , DOI: https://doi.org/10.36713/epra29004