Required Rate of Return on Financial Instruments by an Individual Investor in the Context of Behavioural Finance
DOI:
https://doi.org/10.18778/2391-6478.3.47.01Keywords:
behavioral finance, financial instruments, heuristics, perspective theoryAbstract
The purpose of the article. The main research objective of this work is to examine the occurrence of three heuristics among individual investors: overconfidence, loss aversion, and the disposition effect. The study aims to show the occurrence of these heuristics in a sample of investors.
Methodology. The study was conducted on a sample of 121 individual investors using an online survey based on scenario questions. The research method was selected based on the unique characteristics of behavioural finance. The research requires direct interaction with market participants, i.e., individual investors.
Results of the research. The research revealed the occurrence of two out of three examined heuristics. The analysis of the responses from the study participants led to the conclusion that emotions play a significant role in influencing decision-making processes in investor behaviour.
Downloads
References
Ahmad, M., Shah, S. Z. A., & Abbass, Y. (2021). The role of heuristic-driven biases in entrepreneurial strategic decision-making: Evidence from an emerging economy. Management Decision, 59(3), 669–691. https://doi.org/10.1108/MD-09-2019-1231
Google Scholar
DOI: https://doi.org/10.1108/MD-09-2019-1231
Andreu, L., Ortiz, C., & Sarto, J. L. (2020). Disposition effect in fund managers: Fund and stock-specific factors and the upshot for investors. Journal of Economic Behavior & Organization, 176, 253–268. https://doi.org/10.1016/j.jebo.2020.05.015
Google Scholar
DOI: https://doi.org/10.1016/j.jebo.2020.04.002
Antony, A. (2020). Behavioral finance and portfolio management: Review of theory and literature. Journal of Public Affairs, 20(2), e1996.
Google Scholar
DOI: https://doi.org/10.1002/pa.1996
Berthet, V. (2022). The impact of cognitive biases on professionals’ decision-making: A review of four occupational areas. Frontiers in Psychology, 12, 802439. https://doi.org/10.3389/fpsyg.2021.802439
Google Scholar
DOI: https://doi.org/10.3389/fpsyg.2021.802439
Cao, M. M., Nguyen, N. T., & Tran, T. T. (2021). Behavioral factors on individual investors’ decision making and investment performance: A survey from the Vietnam Stock Market. The Journal of Asian Finance, Economics and Business, 8(3), 845–853. https://doi.org/10.13106/jafeb.2021.vol8.no3.0845
Google Scholar
De Bondt, W. F. (1998). A portrait of the individual investor. European Economic Review, 42(3–5), 831–844.
Google Scholar
DOI: https://doi.org/10.1016/S0014-2921(98)00009-9
Fishburn, P. C. & Kochenberger, G. A. (1979). Two-piece von Neumann-Morgenstern utility functions. Decision Sciences, 10(4), 503–518.
Google Scholar
DOI: https://doi.org/10.1111/j.1540-5915.1979.tb00043.x
Gigerenzer, G., Reb, J., & Luan, S. (2022). Smart heuristics for individuals, teams, and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 9, 171–198.
Google Scholar
DOI: https://doi.org/10.1146/annurev-orgpsych-012420-090506
Goyal, P., Gupta, P., & Yadav, V. (2023). Antecedents to heuristics: Decoding the role of herding and prospect theory for Indian millennial investors. Review of Behavioral Finance, 15(1), 79–102.
Google Scholar
DOI: https://doi.org/10.1108/RBF-04-2021-0073
Haryanto, S., Subroto, A., & Ulpah, M. (2020). Disposition effect and herding behavior in the cryptocurrency market. Journal of Industrial and Business Economics, 47, 115–132.
Google Scholar
DOI: https://doi.org/10.1007/s40812-019-00130-0
Hidayat, R., & Moin, A. (2023). The influence of financial behavior on capital market investment decision making with mediating of financial literacy in Yogyakarta. International Journal of Research in Business and Social Science, 12(8), 227–237.
Google Scholar
DOI: https://doi.org/10.20525/ijrbs.v12i8.2974
Hjeij, M., & Vilks, A. (2023). A brief history of heuristics: How did research on heuristics evolve? Humanities and Social Sciences Communications, 10(1), 1–15.
Google Scholar
DOI: https://doi.org/10.1057/s41599-023-01542-z
Iramani, R., & Lutfi, L. (2021). An integrated model of financial well-being: The role of financial behavior. Accounting, 7(3), 691–700.
Google Scholar
DOI: https://doi.org/10.5267/j.ac.2020.12.007
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
Google Scholar
DOI: https://doi.org/10.2307/1914185
Kahneman, D., & Tversky, A. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297–323. https://doi.org/10.1007/BF00122574
Google Scholar
DOI: https://doi.org/10.1007/BF00122574
Kaustia, M. (2010). Disposition effect. In H. K. Baker & J. R. Nofsinger (Eds.), Behavioral finance: Investors, corporations, and markets (pp. 169–189). Wiley.
Google Scholar
DOI: https://doi.org/10.1002/9781118258415.ch10
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
DOI: https://doi.org/10.1108/QRFM-03-2020-0028
Kulawik, J. (2023). Teorie użyteczności oczekiwanej i perspektywy a ubezpieczenia rolne. Zagadnienia Ekonomiki Rolnej, 374(1), 62–84.
Google Scholar
DOI: https://doi.org/10.30858/zer/161811
Kumar, J., & Prince, N. (2023). Overconfidence bias in investment decisions: A systematic mapping of literature and future research topics. FIIB Business Review. https://doi.org/10.1177/23197145231174344
Google Scholar
DOI: https://doi.org/10.1177/23197145231174344
Kuranchie-Pong, R., & Forson, J. A. (2022). Overconfidence bias and stock market volatility in Ghana: Testing the rationality of investors in the COVID-19 era. African Journal of Economic and Management Studies, 13(1), 147–161.
Google Scholar
DOI: https://doi.org/10.1108/AJEMS-05-2021-0209
Mamidala, V., Kumari, P., & Singh, D. (2023). Should I invest or not? Investigating the role of biases and status quo. Qualitative Research in Financial Markets.
Google Scholar
DOI: https://doi.org/10.1108/QRFM-12-2022-0198
Merkle, C. (2020). Financial loss aversion illusion. Review of Finance, 24(2), 381–413.
Google Scholar
DOI: https://doi.org/10.1093/rof/rfz002
Muralidhar, S., & Berlik, E. (2017). What’s your risk appetite? Helping financial advisors better serve clients (by quantifying Kahneman-Tversky’s value function). Journal of Personal Finance, 16(2), 20–36.
Google Scholar
Naveed, F., & Taib, H. M. (2021). Overconfidence bias, self-attribution bias and investor decisions: Moderating role of information acquisition. Pakistan Journal of Commerce and Social Sciences, 15(2), 354–377.
Google Scholar
Pachur, T., Hertwig, R., & Steinmann, F. (2012). How do people judge risks: Availability heuristic, affect heuristic, or both? Journal of Experimental Psychology: Applied, 18(3), 314–330. https://doi.org/10.1037/a0028279
Google Scholar
DOI: https://doi.org/10.1037/a0028279
Salman, M., Khan, B., Khan, S. Z., & Khan, R. U. (2021). The impact of heuristic availability bias on investment decision-making: Moderated mediation model. Business Strategy & Development, 4(3), 246–257.
Google Scholar
DOI: https://doi.org/10.1002/bsd2.148
Schmidt, S., & Traub, S. (2002). An experimental test of loss aversion. Journal of Risk and Uncertainty, 25(3), 233–249.
Google Scholar
DOI: https://doi.org/10.1023/A:1020923921649
Shanmuganathan, M. (2020). Behavioural finance in an era of artificial intelligence: Longitudinal case study of robo-advisors in investment decisions. Journal of Behavioral and Experimental Finance, 27, 100297. https://doi.org/10.1016/j.jbef.2020.100297
Google Scholar
DOI: https://doi.org/10.1016/j.jbef.2020.100297
Shefrin, H., & Statman, M. (1985). The disposition to sell winners too early and ride losers too long: Theory and evidence. The Journal of Finance, 40(3), 777–790. https://doi.org/10.1111/j.1540-6261.1985.tb05002.x
Google Scholar
DOI: https://doi.org/10.1111/j.1540-6261.1985.tb05002.x
Sood, K., Pathak, P., & Singh, S. (2023). Behavioral finance and investor types: Managing behavior to make better investment decisions. Qualitative Research in Financial Markets, 15(5), 907–912.
Google Scholar
DOI: https://doi.org/10.1108/QRFM-11-2023-237
Szyszka, A. (2009). Finanse behawioralne: Nowe podejście do inwestowania na rynku kapitałowym. Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu.
Google Scholar
Thaler, R. (1980). Toward a positive theory of consumer choice. Journal of Economic Behavior & Organization, 1(1), 39–60. https://doi.org/10.1016/0167-2681(80)90051-7
Google Scholar
DOI: https://doi.org/10.1016/0167-2681(80)90051-7
Ul Abdin, S. Z., Qureshi, F., Iqbal, J., & Sultana, S. (2022). Overconfidence bias and investment performance: A mediating effect of risk propensity. Borsa Istanbul Review, 22(4), 780–793.
Google Scholar
DOI: https://doi.org/10.1016/j.bir.2022.03.001
Vasileiou, E. (2022). Behavioral finance and market efficiency in the time of the COVID-19 pandemic: Does fear drive the market? In E. Vasileiou (Ed.), The political economy of COVID-19 (pp. 116–133). Routledge.
Google Scholar
DOI: https://doi.org/10.4324/9781003307440-8
Zhang, X., Wang, Z., Hao, J., & Liu, J. (2022). Stock market entry timing and retail investors’ disposition effect. International Review of Financial Analysis, 82, 102205. https://doi.org/10.1016/j.irfa.2022.102205
Google Scholar
DOI: https://doi.org/10.1016/j.irfa.2022.102205
Downloads
Published
How to Cite
Issue
Section
License

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




