Behavioral Finance: Investor Psychology and Market Outcomes

Authors

  • Zachary Taylor Gulu University

DOI:

https://doi.org/10.47941/ijf.2113

Keywords:

Behavioral Finance, Investor Psychology, Cognitive Biases, Market Outcomes, Financial Literacy

Abstract

Purpose: The general objective of the study was to explore how psychological factors and cognitive biases influence investor decisions and market dynamics.

Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.

Findings: The findings reveal that there exists a contextual and methodological gap relating to investor psychology and market outcomes. Preliminary empirical review revealed that psychological factors such as cognitive biases and investor sentiment significantly impacted financial decision-making and market dynamics, leading to anomalies like market bubbles and volatility. It highlighted the need for integrating behavioral insights into financial models to better predict and understand market behavior, emphasizing the importance of financial literacy in mitigating adverse effects of these biases.

Unique Contribution to Theory, Practice and Policy: The Prospect Theory, Herding Theory and Efficient Market Hypothesis (EMH) may be used to anchor future studies on behavioural finance. The study recommended further development of behavioral finance models to incorporate psychological factors, and for financial institutions to integrate behavioral insights into their services to guide better investment decisions. It also advised policymakers to design regulations enhancing market transparency and protecting investors from biases, while promoting financial literacy and implementing measures to monitor and mitigate systemic risks from irrational behavior.

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References

Adegbite, E., Amaeshi, K., & Nakajima, C. (2019). Multiple influences on corporate governance practice in Nigeria: Agents, strategies, and implications. International Business Review, 28(4), 743-754. https://doi.org/10.1016/j.ibusrev.2018.12.008

Alagidede, P., & Panagiotidis, T. (2014). Stock return predictability and the adaptive markets hypothesis: Evidence from African stock markets. International Review of Financial Analysis, 32, 130-142. https://doi.org/10.1016/j.irfa.2014.01.005

Armstrong, J., & Caselli, F. (2018). Broadening the analysis of Brexit uncertainty: Insights from economic history and political economy. Economic Policy, 33(94), 145-186. https://doi.org/10.1093/epolic/eix023

Assaad, R., Krafft, C., & Selwaness, I. (2018). The impact of marriage on women’s employment in the Middle East and North Africa. The Journal of Development Studies, 54(1), 1-20. https://doi.org/10.1080/00220388.2017.1292064

Baker, M., Wurgler, J., & Yuan, Y. (2012). Global, local, and contagious investor sentiment. Journal of Financial Economics, 104(2), 272-287. https://doi.org/10.1016/j.jfineco.2011.11.002

Barber, B. M., & Odean, T. (2013). The behavior of individual investors. Handbook of the Economics of Finance, 2(1), 1533-1570. https://doi.org/10.1016/B978-0-44-459406-8.00022-6

Barsade, S. G. (2012). The ripple effect: Emotional contagion and its influence on group behavior. Administrative Science Quarterly, 47(4), 644-675. https://doi.org/10.2307/3094912

Bikhchandani, S., & Sharma, S. (2012). Herd behavior in financial markets: A review. International Monetary Fund Staff Papers, 47(3), 279-310. https://doi.org/10.2307/3867658

Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992-1026. https://doi.org/10.1086/261849

Chileshe, J., Kunda, S., & Kabanda, P. (2017). Financial inclusion in Zambia: Determinants and their impact on savings and borrowing. Journal of Financial Economic Policy, 9(1), 20-40. https://doi.org/10.1108/JFEP-09-2016-0062

Cohn, R. A., Lewellen, W. G., Lease, R. C., & Schlarbaum, G. G. (2012). Individual investor risk aversion and investment portfolio composition. Journal of Finance, 30(2), 605-620. https://doi.org/10.1111/j.1540-6261.1975.tb01834.x

Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2), 383-417. https://doi.org/10.2307/2325486

Festinger, L. (2012). Cognitive dissonance. In Encyclopedia of social psychology (pp. 191-192). Sage Publications. https://doi.org/10.4135/9781412956253.n73

Guedes, M. J., & Vieira, E. (2019). Political instability and stock market returns: Evidence from Brazil. Economics Bulletin, 39(2), 1102-1112. https://www.econstor.eu/bitstream/10419/204991/1/1699353431.pdf

Hoffman, L. (2021). The rise and fall of GameStop. The Wall Street Journal. https://www.wsj.com/articles/the-rise-and-fall-of-gamestop-11611872858

Hoffmann, A. O. I., Post, T., & Pennings, J. M. E. (2013). Individual investor perceptions and behavior during the financial crisis. Journal of Banking & Finance, 37(1), 60-74. https://doi.org/10.1016/j.jbankfin.2012.08.007

Ito, T., & Kawai, M. (2016). Japan’s monetary policy and economic performance. Asian Economic Policy Review, 11(2), 160-185. https://doi.org/10.1111/aepr.12136

Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291. https://doi.org/10.2307/1914185

Kahneman, D., & Tversky, A. (2012). Prospect theory: An analysis of decision under risk. In Handbook of the Fundamentals of Financial Decision Making: Part I (pp. 99-127). World Scientific. https://doi.org/10.1142/9789814417358_0006

Ngugi, R. W., Njuguna, A. G., & Kabubo-Mariara, J. (2014). Determinants of foreign direct investment flows in Kenya. African Journal of Economic and Management Studies, 5(2), 210-233. https://doi.org/10.1108/AJEMS-05-2012-0029

Nickerson, R. S. (2012). Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175-220. https://doi.org/10.1037/1089-2680.2.2.175

Nkomo, S. M., & du Toit, E. S. (2015). The impact of commodity prices on African stock markets. South African Journal of Economic and Management Sciences, 18(4), 500-512. https://doi.org/10.17159/2222-3436/2015/v18n4a7

Shefrin, H. (2012). Behavioralizing finance. Foundations and Trends in Finance, 7(1-2), 1-184. https://doi.org/10.1561/0500000030

Shiller, R. J. (2014). Speculative asset prices. American Economic Review, 104(6), 1486-1517. https://doi.org/10.1257/aer.104.6.1486

Tversky, A., & Kahneman, D. (2012). Judgment under uncertainty: Heuristics and biases. In Judgment and Decision Making: An Interdisciplinary Reader (pp. 35-52). Cambridge University Press. https://doi.org/10.1017/CBO9780511809477.004

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Published

2024-07-18

How to Cite

Taylor, Z. (2024). Behavioral Finance: Investor Psychology and Market Outcomes. International Journal of Finance, 9(4), 21–34. https://doi.org/10.47941/ijf.2113

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