The influence of behavioural finance biases on individual investment decisions: Evidence from the Dar es Salaam stock exchange, Tanzania
DOI:
https://doi.org/10.51867/scimundi.6.1.10Keywords:
Availability Bias, Dar es Salaam Stock Exchange, Overconfidence Bias, Self-Attribution Bias, Investment DecisionsAbstract
This study examined the influence of behavioral biases on investment decisions among individual investors at the Dar es Salaam Stock Exchange (DSE) in Tanzania. Recognizing that many investors rely on psychological tendencies rather than systematic financial analysis, the research focused on overconfidence, availability, and self-attribution biases. This study applies four key theories: Prospect Theory, Heuristics and Biases Theory, Self-Attribution Theory, and Behavioural Finance Theory to analyze how overconfidence bias, availability bias, and self-attribution bias affect the investment decisions of individual investors in Tanzania. A quantitative cross-sectional design was employed, and data were collected from 396 investors using structured questionnaires. The data were analyzed using multiple linear regression to assess the impact of these biases on investment decision-making. The findings revealed that self-attribution bias had the strongest positive influence on investment decision-making (β = 0.379, p < 0.001), followed closely by availability bias (β = 0.377, p < 0.001). Overconfidence bias, also showed a positive but weaker effect (β = 0.086, p = 0.036). The model explained 45.1% of the variance in investment decision-making (R² = 0.451), indicating that nearly half of investors’ choices could be attributed to these behavioural biases. These results suggest that investors who overestimate their skills, rely on readily available information, or attribute success to personal ability while externalizing failure are more prone to making biased investment decisions. The study concludes that behavioural biases play a significant role in shaping investment behaviour in Tanzania’s retail stock market. It recommends strengthening financial literacy programs, integrating behavioural finance principles into investment education, and providing advisory services that help investors recognize and mitigate cognitive biases. Such measures can enhance rational decision-making, reduce the risks associated with biased trading, and contribute to sustainable market efficiency and stability in Tanzania’s capital markets.
Downloads
References
Al Rahahleh, N. (2024). The influence of anchoring and overconfidence on investment decision-making in the Saudi stock market: A moderated mediation model. Review of Middle East Economics and Finance, 20(1), 45-75.
https://doi.org/10.1515/rmeef-2023-0015 DOI: https://doi.org/10.1515/rmeef-2023-0015
Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. Quarterly Journal of Economics, 116(1), 261-292. https://doi.org/10.1162/003355301556400 DOI: https://doi.org/10.1162/003355301556400
Barberis, N. (2018). Psychology-based models of asset prices and trading volume. In Handbook of Behavioral Economics (Vol. 1, pp. 79-175). Elsevier. https://doi.org/10.1016/bs.hesbe.2018.07.001 DOI: https://doi.org/10.1016/bs.hesbe.2018.07.001
Bawalle, A. A., Khan, M. S. R., & Kadoya, Y. (2025). Overconfidence, financial literacy, and panic selling: Evidence from Japan. PLOS ONE, 20(3), e0315622. https://doi.org/10.1371/journal.pone.0315622 DOI: https://doi.org/10.1371/journal.pone.0315622
Bouteska, A., Harasheh, M., & Abedin, M. Z. (2023). Revisiting overconfidence in investment decision-making: Further evidence from the US market. Research in International Business and Finance, 66, 102028. https://doi.org/10.1016/j.ribaf.2023.102028 DOI: https://doi.org/10.1016/j.ribaf.2023.102028
Clarke, F., & Dean, G. (2014). Corporate collapse: Regulatory, accounting and ethical failure. In Accounting and regulation: New insights on governance, markets and institutions (pp. 9-29). Springer. https://doi.org/10.1007/978-1-4614-8097-6_2 DOI: https://doi.org/10.1007/978-1-4614-8097-6_2
Glaser, B. G. (2009). The novice GT researcher. Grounded Theory Review, 8(2), 1-21.
Goyal, K., Nanda, S. K., & Agrawal, M. (2026). Psychological echoes: Exploring investor sentiments across market events. Journal of Economic Surveys, 40(1), 133-161. https://doi.org/10.1111/joes.12701 DOI: https://doi.org/10.1111/joes.12701
Hans, A., Choudhary, F. S., & Sudan, T. (2024). Behavioral determinants of investment decisions: Evidence from Indian retail equity investors in the wake of COVID-19 induced financial risks. International Journal of Accounting & Information Management. https://doi.org/10.1108/ijaim-03-2024-0091 DOI: https://doi.org/10.1108/IJAIM-03-2024-0091
Heider, F. (1958). The psychology of interpersonal relations. Wiley. https://doi.org/10.1037/10628-000 DOI: https://doi.org/10.1037/10628-000
Kahneman, D., & Tversky, A. (2013). Prospect theory: An analysis of decision under risk. In Handbook of the fundamentals of financial decision making (Part I, pp. 99-127). https://doi.org/10.1142/9789814417358_0006 DOI: https://doi.org/10.1142/9789814417358_0006
Kandpal, V., & Mehrotra, R. (2018). Role of behavioral finance in investment decision: A study of investment behavior in India. International Journal of Management Studies, 4(6), 39. https://doi.org/10.18843/ijms/v5i4(6)/06 DOI: https://doi.org/10.18843/ijms/v5i4(6)/06
Kimmel, A. J. (2009). Ethical issues in behavioral research: Basic and applied perspectives. John Wiley & Sons.
Komba, G. V. (2024). Behavioural biases scale for retail investors' trading behaviour. African Journal of Empirical Research, 5(4), 2014-2030. https://doi.org/10.51867/ajernet.5.4.168 DOI: https://doi.org/10.51867/ajernet.5.4.168
Kuria, A. M. (2019). Behavioural biases of real estate investors and investment performance in Kenya (Doctoral dissertation).
Maurya, P. K., Bansal, R., & Mishra, A. K. (2026). Investor sentiment and its implication on global financial markets: A systematic review of literature. Qualitative Research in Financial Markets, 18(1), 209-248. https://doi.org/10.1108/QRFM-04-2024-0087 DOI: https://doi.org/10.1108/QRFM-04-2024-0087
Odean, T. (1998). Volume, volatility, price, and profit when all traders are above average. Journal of Finance, 53(6), 1887-1934.
https://doi.org/10.1111/0022-1082.00078 DOI: https://doi.org/10.1111/0022-1082.00078
Ooi, K. L., Ab Aziz, N. B., & Lau, W. Y. (2025). Following the crowd: Psychological drivers of herding and market overreaction. Springer Nature. https://doi.org/10.1007/978-981-95-0792-4 DOI: https://doi.org/10.1007/978-981-95-0792-4
Paisarn, W., Chancharat, N., & Chancharat, S. (2021). Factors influencing retail investors’ trading behaviour in the Thai stock market. Australasian Accounting, Business and Finance Journal, 15(2), 26–37. https://doi.org/10.14453/aabfj.v15i2.3 DOI: https://doi.org/10.14453/aabfj.v15i2.3
Pughethaa, S., & Deepa, R. (2024). A study on influence of behavioural biases on investment decision of young investors in Coimbatore City. International Journal for Multidisciplinary Research, 6(2). https://doi.org/10.36948/ijfmr DOI: https://doi.org/10.36948/ijfmr.2024.v06i02.16842
https://doi.org/10.36948/ijfmr DOI: https://doi.org/10.36948/ijfmr
Sahu, M., Uddin, F., & Hossain, M. B. (2025). Exploring the psychological drivers of cryptocurrency investment biases: Evidence from Indian retail investors. International Journal of Financial Studies, 13(4), 219. https://doi.org/10.3390/ijfs13040219 DOI: https://doi.org/10.3390/ijfs13040219
Sharma, M., & Gupta, S. (2025). Investor behaviour and regulatory reforms: A comparative study of emerging markets. SSRN Electronic Journal. https://ssrn.com/abstract=5205092
https://doi.org/10.2139/ssrn.5205092 DOI: https://doi.org/10.2139/ssrn.5205092
Shefrin, H. (2000). Beyond greed and fear: Understanding behavioral finance and the psychology of investing. Harvard Business School Press.
Shu, H. C., & Hung, M. W. (2009). Effect of wind on stock market returns: Evidence from European markets. Applied Financial Economics, 19(11), 893-904. https://doi.org/10.1080/09603100802243766 DOI: https://doi.org/10.1080/09603100802243766
Simon, H. A. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69, 99-118.
https://doi.org/10.2307/1884852 DOI: https://doi.org/10.2307/1884852
Syukur, A., Amron, A., Riyanto, F., Putra, F. I. F. S., & Pangemanan, R. R. (2025). Generational insights into herding behavior: The moderating role of investment experience in shaping decisions among generations X, Y, and Z. International Journal of Financial Studies, 13(3), 176. https://doi.org/10.3390/ijfs13030176 DOI: https://doi.org/10.3390/ijfs13030176
Thanushree, G., Farzana, M. B., & Sangeetha, S. Kumar. (2024). Behavioural factors influencing individual investor's decision making and performance. SJCC Management Research Review, 14(1), 75-89. https://doi.org/10.35737/sjccmrr/V14/i1/2024/206
Tlili, F., Chaffai, M., & Medhioub, I. (2023). Investor behavior and psychological effects: Herding and anchoring biases in the MENA region. China Finance Review International, 13(4), 667-681. https://doi.org/10.1108/CFRI-12-2022-0269 DOI: https://doi.org/10.1108/CFRI-12-2022-0269
Tuyon, J., & Ahmad, Z. (2016). Behavioural finance perspectives on Malaysian stock market efficiency. Borsa Istanbul Review, 16(1), 43-61. https://doi.org/10.1016/j.bir.2016.01.001 DOI: https://doi.org/10.1016/j.bir.2016.01.001
Ul Abdin, S. Z., Tajeddini, K., Gamage, T. C., & Ul Hameed, W. (2025). Personality traits and investment behaviour: The sequential mediation of overconfidence bias and risk propensity. Asia-Pacific Journal of Management Research and Innovation, 21(3), 110-124.
https://doi.org/10.1177/2319510X251362058 DOI: https://doi.org/10.1177/2319510X251362058
Weiner, B. (1985). An attributional theory of achievement motivation and emotion. Psychological Review, 92(4), 548-573.
https://doi.org/10.1037/0033-295X.92.4.548 DOI: https://doi.org/10.1037/0033-295X.92.4.548
Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper & Row.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Nelisa F. Koilyenda, Cosmas S. Mbogela

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.








