Impact of Social Influence and Emotional Bias on Investment Decision Making
Authors
Banking and Finance Department, Faculty of Business Studies, Rufus Giwa Polytechnic, Owo. (Nigeria)
Banking and Finance Department, Faculty of Business Studies, Rufus Giwa Polytechnic, Owo. (Nigeria)
Banking and Finance Department, Faculty of Business Studies, Rufus Giwa Polytechnic, Owo. (Nigeria)
Article Information
DOI: 10.51583/IJLTEMAS.2026.150800060
Subject Category: Behavioral Finance
Volume/Issue: 15/8 | Page No: 855-871
Publication Timeline
Submitted: 2026-08-30
Accepted: 2026-08-04
Published: 2026-09-12
Abstract
This study examined the impact of social influence and emotional biases on investment decision-making among individual investors. The study employed a quantitative research approach with a sample size of 385 individual investors. However, the response rate was 79%, and the usable response rate was 68.31% of the sample.
Social influence and emotional biases were measured using loss aversion bias, overconfidence bias, social media influence, and peer pressure. The evidence indicates that loss aversion bias, overconfidence, and peer pressure had a significant positive influence on investment decision-making. However, social media influence had no significant contribution to investment decision-making among individual investors selected from six states in Nigeria, namely: Lagos, Ondo, Edo, Delta, Oyo, and Ogun States.
The findings suggest that investment decision-making among investors from these states is largely dependent on readily available information and strongly influenced by their own beliefs and emotions, without thorough research, investigation, and analysis of securities and the market. This leads to overtrading, overreaction to market trends, holding onto losing stocks, maintaining risky portfolios, selling gaining portfolios too early, and making investment decisions without proper analysis.
Based on the findings, the study recommends that investors, especially young adults, should be cautious of social media influence, as it can be misleading. Seeking advice from experts or professionals can be invaluable in avoiding this pitfall when making crucial investment decisions. Furthermore, emotional bias, possibly based on hearsay or misleading information about "window dressing" stocks, should be carefully evaluated and subjected to informed decision-making before taking any investment steps.
Keywords
Social Media, Emotional Bias, Overconfidence, Peer Pressure
Downloads
References
1. Ahmad, M., & Shah, S. Z. A. (2020). Overconfidence heuristic-driven bias in investment decision-making and performance: mediating effects of risk perception and moderating effects of financial literacy. Journal of Economic and Administrative Sciences, ahead-of-print(ahead-of-print), 12(1), 34 – 51.. https://doi.org/10.1108/jeas-07-2020-0116 [Google Scholar] [Crossref]
2. Ahmed, R., Riaz, S., Aqdas, R., & Hassan, S. (2021). The relationship among overconfidence, economic expectation, social factors and investment decision making behavior with the mediating and moderating effects. Journal of Contemporary Issues in Business and Government, 27(2), 1075-1088. [Google Scholar] [Crossref]
3. Akinkoye, E. Y., & Bankole, O. E. (2020). Effect of emotional biases on investor’s decision making in Nigeria. International Journal of Business and Management Future, 4(1), 33-39. [Google Scholar] [Crossref]
4. Al-Dahan, N. S. H., Hasan, M. F., & Jadah, H. M. (2019). Effect of Cognitive and Emotional Biases on Investor Decisions: An Analytical Study of the Iraq Stock Exchange. International Journal of Innovation, Creativity and Change, 9(10), 30-47. [Google Scholar] [Crossref]
5. Baker, H. K., & Ricciardi, V. (2014). How biases affect investor behavior. The European Financial Review, 7(2), 7-10. [Google Scholar] [Crossref]
6. 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, [Google Scholar] [Crossref]
7. Barker, H. K., Kumar, S., Goyal, N., & Gaur, V. (2018). How financial literacy and demographic variables relate to behavioral biases? Managerial Finance, 4(2), 1-23. [Google Scholar] [Crossref]
8. Cochran, W. G. (1977). Sampling techniques. John Wiley & Sons. [Google Scholar] [Crossref]
9. Elam, K., Lemery-Chalfant, K., & Chassin, L. (2023). A gene-environment cascade theoretical framework of developmental psychopathology. Journal of Psychopathology and Clinical Science, 132(3), 287-296. [Google Scholar] [Crossref]
10. Gazel, S. (2015). The Regret Aversion as an Investor Bias. International Journal of Business and Management Studies, 4(2), 419-424. [Google Scholar] [Crossref]
11. Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263–291. [Google Scholar] [Crossref]
12. Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion, and status quo bias. Journal of Economic perspectives, 5(1), 193-206. [Google Scholar] [Crossref]
13. Kempf, A., & Ruenzi, S. (2006). Status Quo Bias and the Number of Alternatives: An Empirical Illustration from the Mutual Fund Industry. Journal of Behavioral Finance, 7(4), 204–213. [Google Scholar] [Crossref]
14. Khan, I., Afeef, M., Jan, S., & Ihsan, A. (2021). The impact of heuristic biases on investors’ investment decision in Pakistan stock market: moderating role of long-term orientation. Qualitative Research in Financial Markets, 13(2), 252-274. [Google Scholar] [Crossref]
15. Lo, E. W. (2021). The Influences Of Status Quo And Endowment Biases on Earnings Management. Artikel Masuk. Wahana: Jurnal Ekonomi, Manajemen dan Akuntansi, 24 (1), 48-59. [Google Scholar] [Crossref]
16. Nofsinger, J. R. (2017). The Psychology of Investing (6th ed.). Routledge. https://doi.org/10.4324/9781315230856. [Google Scholar] [Crossref]
17. Odean, T. (1998). Volume, Volatility, Price, and Profit When All Traders Are Above Average. The Journal of Finance, 53(6), 1887–1934. [Google Scholar] [Crossref]
18. Pompian, M. M. (2012). Behavioral Finance and Wealth Management: how to build investment strategies that account for investor biases. John Wiley & Sons. https://doi.org/10.1002/9781119202400. [Google Scholar] [Crossref]
19. Pompian, M. M. (2017). Risk tolerance and behavioral finance. Investments and Wealth monitor, Boston, 20(31), 34-45. [Google Scholar] [Crossref]
20. Rehan, R., & Umer, I. (2017). Behavioral Biases and Investor Decisions. Market Forces College of Management Sciences, 12(2), 12-20. [Google Scholar] [Crossref]
21. Riaz, T., & Iqbal, H. (2015). Impact of overconfidence, illusion of control, self-control and optimism bias on investors decision making; evidence from developing markets. Research Journal of Finance and Accounting, 6(11), 110-116. [Google Scholar] [Crossref]
22. Samuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of risk and uncertainty, 1(1), 7-59. [Google Scholar] [Crossref]
23. Sekaran, U., & Bougie, R. (2020). Research methods for business: A skill building approach. John Wiley & Sons. https://doi.org/10.1002/9781119202400. [Google Scholar] [Crossref]
24. Shafqat, S., & Malik, I. R. (2021). Role of Regret Aversion and Loss Aversion Emotional Biases in Determining Individual Investors’ Trading Frequency: Moderating Effects of Risk Perception. Humanities & Social Sciences Reviews, 9(3), 1373-1386. [Google Scholar] [Crossref]
25. Strömbäck, C., Lind, T., Skagerlund, K., Västfjäll, D., & Tinghög, G. (2017). Does self-control predict financial behavior and financial well-being? Journal of Behavioral and Experimental Finance, 1(4), 30-38. [Google Scholar] [Crossref]
26. Thaler, R. (1980). Toward a positive theory of consumer choice. Journal of economic behaviour & organization, 1(1), 39-60. [Google Scholar] [Crossref]
27. Waweru, N. M., Munyoki, E. and Uliana, E. (2008). The effects of behavioral factors in investment decision-making: a survey of institutional investors operating at the Nairobi Stock Exchange. International Journal of Business and Emerging Markets, 1(1), 24–41. [Google Scholar] [Crossref]
28. Zhang, Y., & Fishbach, A. (2005). The Role of Anticipated Emotions in the Endowment Effect. Journal of Consumer Psychology, 15(4), 316–324. [Google Scholar] [Crossref]