Behavioral Finance and AI: Investigating the Role of Investor Sentiment and Socio-Demographic Influences on Investment Choices in Bhubaneswar
DOI:
https://doi.org/10.48047/vd198f40Keywords:
Behavioral finance, investor sentiment, socio-demographic factors, investment choices, AI in finance, sentiment analysis, stock market behavior, financial decision-making, machine learning in finance, investment trends in Bhubaneswar.Abstract
Behavioral finance challenges the traditional assumption of rational investors by incorporating psychological and socio-demographic factors into investment decision-making. This study explores the impact of investor sentiment and socio-demographic influences—such as age, gender, income, and education—on investment choices in Bhubaneswar. With the advancement of Artificial Intelligence (AI), sentiment analysis and machine learning techniques offer new ways to quantify investor emotions and predict market behavior.
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References
• Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross-section of stock returns. The Journal of Finance, 61(4), 1645-1680. • Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. The Quarterly Journal of Economics, 116(1), 261-292
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