AI bridges information gaps, enhancing investor perception and market efficiency through automated, data‑driven decision‑making today.
Authors
Mansi Panwar, School of Commerce, Devi Ahilya Vishwavidyalaya, Indore, India
Mohit Verma, O.P. Jindal Global University, Sonipat, Haryana, India
Bhumika Ray, Assistant Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India
Aishwarya Vashishtha, Rutgers University, USA
Shashank Mittal, Associate Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India
Mananage Shanika Hansini Rathnasiri, Sabaragamuwa University of Sri Lanka, Belihuloya, Sri Lanka
Summary
As behavioral finance explores market imperfections and investor rationality in the absence of seamless access to market information, artificial intelligence emerges as a transformative force in financial decision-making. AI enhances market operations by offering a platform for real-time, accurate, and transparent access to information, thereby influencing investor perception. With its ability to conduct in-depth fundamental and technical analyses, AI plays a pivotal role in identifying stocks, assessing risks, managing funds, and optimizing portfolios. Additionally, AI-driven work arrangements are reshaping financial decision-making by enabling automated trading, algorithmic investment strategies, and datadriven market predictions. As AI fosters greater investor participation and efficiency, it addresses market inefficiencies while making investors more informed and rational participants in equity markets. This study examines the intersection of AI and investor perception in equity markets through a bibliometric and thematic analysis.
Published in: Global Work Arrangements and Outsourcing in the Age of AI
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