Impact of Demographic Factors on Behavioural Biases: An Empirical Study

This study examines the influence of demographic factors on behavioural biases among retail investors, with a focus on heuristics and prospect theory constructs. The research addresses a critical gap in existing literature, which often isolates these biases rather than exploring their interrelationship. The study aims to identify the most prominent behavioural biases and to assess the extent to which demographic variables impact susceptibility to these biases. Data were collected from 171 retail investors in the Dakshina Kannada district, Karnataka, India, through a structured questionnaire. The analysis involved descriptive statistics, multivariate analysis of variance, and structural equation modelling. Findings reveal that gender significantly influences prospect theory-related and overall behavioural biases, while other demographic factors show limited impact. Among the heuristic biases, self-attribution and recency bias emerged as the most influential, whereas the disposition effect was dominant under prospect theory. A strong positive correlation was found between heuristic and prospect theory constructs, indicating that cognitive and emotional biases are interconnected in shaping investment behaviour. The study highlights the need for targeted investor education and financial literacy programs, suggesting that policy interventions should consider behavioural patterns to promote rational decision-making in financial markets.

Behavioural Bias, Heuristics, Investment Decisions, Prospect Theory, Retail Investors

1. Arora, R. and Rajendran, M. (2023) ‘Moored Minds: An Experimental Insight into the Impact of the Anchoring and Disposition Effect on Portfolio Performance’, Journal of Risk and Financial Management, 16(8). Available at: https://doi.org/10.3390/jrfm16080349. [Google Scholar] [Crossref]

2. Bihari, A. et al. (2023) ‘Does cognitive biased knowledge influence investor decisions? An empirical investigation using machine learning and artificial neural network’, VINE Journal of Information and Knowledge Management Systems [Preprint]. Available at: https://doi.org/10.1108/VJIKMS-08-2022-0253. [Google Scholar] [Crossref]

3. Chaudhary, M.K. et al. (2025) ‘Heuristic bias and investment decision: Exploring the mediating role of investors’ risk perceptions’, Investment Management and Financial Innovations, 22(1), pp. 441–452. [Google Scholar] [Crossref]

4. Gurung, R. et al. (2024) ‘Unraveling behavioral biases in decision making: A study of Nepalese investors’, Investment Management and Financial Innovations, 21(1), pp. 24–37. [Google Scholar] [Crossref]

5. Hossain, T. and Siddiqua, P. (2022) ‘Exploring the influence of behavioral aspects on stock investment decision-making: a study on Bangladeshi individual investors’, PSU Research Review [Preprint]. Available at: https://doi.org/10.1108/PRR-10-2021-0054. [Google Scholar] [Crossref]

6. Kahneman, D. and Tversky’, A. (1979) E C O N Ometrica I C I Volume 47 March, 1979 Number 2 Prospect Theory: An Analysis of Decision Under Risk. [Google Scholar] [Crossref]

7. Keller, J. and Pastusiak, R. (2016) ‘The psychology of investing: Stock market recommendations and their impact on investors’ decisions (The example of the Polish stock market)’, Acta Oeconomica, 66(3), pp. 419–437. [Google Scholar] [Crossref]

8. Khilar, R.P. and Singh, S. (2019) ‘Influence of behavioural biases on investment decision making in Bhubaneswar region’, International Journal of Recent Technology and Engineering, 8(3), pp. 8297–8301. [Google Scholar] [Crossref]

9. Loebiantoro, I.Y. et al. (2025) ‘Is it risky? The impact of personality traits and behavioural biases on investment decisions’, Asian Journal of Business Research, 15(1), pp. 104–120. Available at: https://doi.org/10.14707/ajbr.250191. [Google Scholar] [Crossref]

10. Madaan, G. and Singh, S. (2019) ‘An analysis of behavioral biases in investment decision-making’, International Journal of Financial Research, 10(4), pp. 55–67. [Google Scholar] [Crossref]

11. Murhadi, W.R. et al. (2024) ‘The effect of financial literacy and demographic variable on behavioral biases’, Asian Economic and Financial Review, 14(4), pp. 312–325. [Google Scholar] [Crossref]

12. Mushinada, V.N.C. and Veluri, V.S.S. (2019) ‘Elucidating investors rationality and behavioural biases in Indian stock market’, Review of Behavioral Finance, 11(2), pp. 201–219. [Google Scholar] [Crossref]

13. Shahzad, M.A. et al. (2024) ‘Perceived Behavioral Factors and Individual Investor Stock Market Investment Decision: Multigroup Analysis and Major Stock Markets Perspectives’, SAGE Open, 14(2). Available at: https://doi.org/10.1177/21582440241256210. [Google Scholar] [Crossref]

14. Shunmugasundaram, V. and Sinha, A. (2024) ‘The impact of behavioral biases on investment decisions: a serial mediation analysis’, Journal of Economics, Finance and Administrative Science [Preprint]. Available at: https://doi.org/10.1108/JEFAS-08-2023-0243. [Google Scholar] [Crossref]

15. Srinivasan, K. and Karthikeyan, P. (2023) ‘Investigating self-efficacy and behavioural bias on investment decisions’, E a M: Ekonomie a Management, 26(4), pp. 119–133. [Google Scholar] [Crossref]

16. Ullah, S. et al. (2020) ‘Behavioral biases in investment decision making and moderating role of investor’s type’, Intellectual Economics, 14(2), pp. 87–105. [Google Scholar] [Crossref]

17. Yasmin, F. and Ferdaous, J. (2023) ‘Behavioral biases affecting investment decisions of capital market investors in Bangladesh: A behavioral finance approach’, Investment Management and Financial Innovations, 20(2), pp. 149–159. [Google Scholar] [Crossref]

18. Yuana, P. et al. (2024) ‘The behavioral biases on investment decision behavior: Evidence from Indonesia’, Edelweiss Applied Science and Technology, 8(4), pp. 1586–1597. [Google Scholar] [Crossref]

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