This work is licensed under a Creative Commons Attribution 4.0 International License .
Behavioral Finance and Impact on Investor Decision Making
V. Supriya, M D. Jasmine, L. Sunny Abilash, S. Hari Krishna
Department of MBA, Andhra Loyola College, Vijayawada, Andhra Pradesh, India
Abstract
This study investigates the intersection of psychology and finance by analysing how cognitive biases—specifically overconfidence, herding, anchoring, and loss aversion—influence individual investment decisions. Utilizing a quantitative approach, primary data were gathered from a convenience sample of investors via structured questionnaires. Hypotheses were tested using a robust suite of inferential statistical techniques, including multiple regression, Pearson correlation, Chi-square tests, and ANOVA. The empirical results reveal a nuanced relationship between demographics and decision-making: while gender exerted a statistically significant influence on the investment process, age, occupation, and educational attainment did not. Furthermore, the findings indicate that behavioural biases and investor awareness levels are statistically insignificant predictors of investment choices within this sample. However, a significant positive correlation was identified between investor psychology and the manifestation of behavioural biases, suggesting that internal psychological frameworks are more critical drivers of bias than external demographic profiles or general awareness. Correlation analysis further demonstrated a negative relationship between gender and occupation, contrasted by a positive correlation between age and education. These findings challenge traditional assumptions regarding the impact of bias on rational decision-making, highlighting the complexity of psychological triggers in financial environments.
Keywords: Behavioural Finance, Overconfidence Bias, Herd Behaviour, Loss Aversion, Anchoring.
References
- B. Chauhan, R. Shekhar, S. Kumar, K. Vishwakarma, and N. Rawat, “The Impact of Behavioral Finance on Sustainable Investing in the Stock Market: A Comprehensive Analysis of Investor Behaviour, Biases, and Decision-Making Processes,” in 2025 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT), Warangal, India, 2025, pp. 1–6. https://doi.org/10.1109/ICRTEECT67512.2025.1144895
- H. Kartika, I. G. M. Karmawan, and T. Rusmanto, “The Influence of Financial Literacy, Financial Experience, Behavioral Finance, and Investor Awareness on the Use of FinTech Applications in Making Investment Decisions,” in 2023 International Conference on Information Management and Technology (ICIMTech), Malang, Indonesia, 2023, pp. 603–608. https://doi.org/10.1109/ICIMTech59029.2023.10277775
- K. E., N. S., T. T., J. L., M. K., and D. Sharmiladevi, “The Role of Behavioral Finance in Investment Decision-Making Using Machine Learning-Understanding the Psychology Behind Stock Market Trends,” in 2025 International Conference on Automation and Computation (AUTOCOM), Dehradun, India, 2025, pp. 69–73. https://doi.org/10.1109/AUTOCOM64127.2025.10956259
- P. Gahlot, K. Sachdeva, S. Agnihotri, and J. N. Giri, “Influence of Behavioral Biases on Investor Decision‐Making in Delhi‐NCR,” in Deep Learning Tools for Predicting Stock Market Movements, Wiley, 2024, pp. 363–389. https://doi.org/10.1002/9781394214334.ch15
- M. Abdeldayem and S. Aldulaimi, “Innovative Pathways in Capital Markets: The Fusion of Behavioural Finance and FinTech for Strategic Investor Decision-Making,” International Journal of Organizational Analysis, vol. 34, no. 3, pp. 818–842, May 2025. https://doi.org/10.1108/IJOA-01-2025-5193
- G. Giuggioli, M. M. Pellegrini, and G. Giannone, “Artificial Intelligence as an Enabler for Entrepreneurial Finance: A Practical Guide to AI-Driven Video Pitch Evaluation for Entrepreneurs and Investors,” Management Decision, vol. 63, no. 10, pp. 3477–3500, Jun. 2024. https://doi.org/10.1108/MD-10-2023-1926
- M. Filippini, M. Leippold, and T. Wekhof, “The Impact of Sustainable Finance Literacy on Investment Decisions,” Journal of Banking & Finance, vol. 187, p. 107687, Mar. 2026. https://doi.org/10.1016/j.jbankfin.2026.107687
- L. Wang and S. Huang, “An Empirical Analysis of Digital Financial Innovation, Corporate Financing Behavior, and Information Transparency,” Finance Research Letters, vol. 86, p. 108840, Oct. 2025. https://doi.org/10.1016/j.frl.2025.108840
- H. Wu, “Cultural Biases in the Investment Decision-Making Process of Institutional Investors,” International Review of Financial Analysis, vol. 106, p. 104576, Aug. 2025. https://doi.org/10.1016/j.irfa.2025.104576
- Y. Wang and X. Ge, “Digital Finance, Investor Sentiment, and Corporate Inefficient Investment,” Finance Research Letters, vol. 83, p. 107688, Jun. 2025. https://doi.org/10.1016/j.frl.2025.107688
- M. Hosen, A. A. Rahman, B. C. W. Yee, S. Arefin, and S. Gopinathan, “Sustainable Finance and Behavioral Choice: The Role of Risk Perception in Investment Decisions Aligned with the SDGs,” in Elsevier eBooks, 2026, pp. 151–171. https://doi.org/10.1016/B978-0-443-40576-1.00012-3
- K. Sai Tejaswini, Y. Bangarraju, and S. Niteesh, “Consumer Perception Towards Specified FinTech Products,” International Journal of Emerging Research in Science Engineering and Management, vol. 2, no. si1, pp. 126–131, May 2026. https://doi.org/10.66710/ijersem.v2si1.16
