Behavioral Finance Explanation of Retail Investors’ Approach to Portfolio Design
https://doi.org/10.26794/2587-5671-2025-29-1-133-145
Abstract
The digital space facilitates individuals’ access not only to securities, but also to information that can influence their decisions. When making decisions about selecting securities to include in an investment portfolio, individual investors strive for rationality, but are influenced by various behavioral factors that increase as the digital space expands. We assume that, in addition to profitability and risk, decisions about selecting securities for investment are influenced by various behavioral factors, fundamentally shaped by motives of thrift and caution in combination with fear of missing out (FOMO) and other phenomena described in the theory of behavioral finance. We test an approach that allows us to assess, without resorting to sociological tools, the degree of significance and potential influence on the choice of a retail investor of such parameters as the affordability and liquidity of securities. Our approach is to design a profitability and risk ranking of securities included in the MOEX40 index, and to incrementally adjust the ranking by affordability and liquidity in indicators various combinations. An instrument’s rank change compared to the base ranking is a measure of the factor significance from the point of view of a quasi-rational retail investor. We have empirically shown that relatively more expensive lots are prone to more significant decrease of investment appeal that in some cases cannot be compensated by higher returns. The developed framework can be used by portfolio managers and issuers to assess the potential demand for securities by retail investors, to explain and predict their antipathy to relatively more expensive instruments. The result of the study can also serve as a theoretical justification for splitting expensive shares in order to increase their attractiveness for retail investors.
About the Authors
V. V. KolmakovRussian Federation
Vladimir V. Kolmakov — Dr. Sci. (Econ.), Deputy director of Higher School of Finance
Moscow
A. G. Polyakova
Russian Federation
Aleksandra G. Polyakova — Dr. Sci. (Econ.), Deputy director of Institute of Economics, Management and Law
Moscow
S. V. Polyakov
Russian Federation
Sergei V. Polyakov — postgraduate, assistant, Plekhanov Russian University of Economics; assistant, Leonov Moscow Region University of Technology (UNITECH)
Moscow; Korolev
References
1. Thaler R.H. The end of behavioral finance. Financial Analysts Journal. 1999;55(6):12-17. DOI: 10.2469/faj.v55. n6.2310
2. Kahneman D., Tversky A. Prospect theory: An analysis of decision under risk. Econometrica. 1979;47(2):263-292. DOI: 10.2307/1914185
3. Polyakova A.G. Change of the population fi behavior under the coronavirus pandemic and economic crisis. Karel’skii nauchnyi zhurnal = Karelian Scientific Journal. 2021;10(2):25-29. (In Russ.). DOI: 10.26140/knz4-2021-1002-0007
4. Polyakova A.G. Digital sociology and examination of social mechanisms on the Internet space. Sotsiodinamika = Sociodynamics. 2021;(2):51-64. (In Russ.). DOI: 10.25136/2409-7144.2021.2.32163
5. Polyakova A., Zavyalov D., Kolmakov V. A study of uncertainty contribution to cryptocurrency investment dynamics. International Journal of Technology. 2021;12(7):1529-1536. DOI: 10.14716/ijtech.v12i7.5348
6. Gómez-Martínez R., Medrano-García M.L., Prado-Román C. CNN fear and greed index as trend signal in global financial markets. SSRN Electronic Journal. 2023. DOI: 10.2139/ssrn.4384869
7. Dash A.S., Mishra U. Sentiment analysis using machine learning for forecasting Indian stock trend: A brief survey. Finance: Theory and Practice. 2023;27(6):136-147. DOI: 10.26794/2587-5671-2023-27-6-136-147
8. Swedroe L. Liquidity has solid impact on stock returns. CBS News. Aug.29, 2012. URL: https://www.cbsnews.com/news/liquidity-has-solid-impact-on-stock-returns/ (accessed on 17.09.2024).
9. Amihud Y., Mendelson H. Liquidity and stock returns. Financial Analysts Journal. 1986;42(3):43-48. DOI: 10.2469/faj.v42.n3.43
10. Altay E., Çalgıcı S. Liquidity adjusted capital asset pricing model in an emerging market: Liquidity risk in Borsa Istanbul. Borsa Istanbul Review. 2019;19(4):297-309. DOI: 10.1016/j.bir.2019.06.002
11. Alves H., Canadas N., Rodrigues A.M. Determinants of share price and share liquidity: An analysis using a SEM model. Procedia Economics and Finance. 2015;25:318-331. DOI: 10.1016/S 2212-5671(15)00742-X
12. Datar V.T., Naik N.Y., Radcliffe R. Liquidity and stock returns: An alternative test. Journal of Financial Markets. 1998;1(2):203-219. DOI: 10.1016/S 1386-4181(97)00004-9
13. Damodaran A. The value of liquidity. In: Damodaran on valuation: Security analysis for investment and corporate fi e. Hoboken, NJ: John Wiley & Sons, Inc.; 2012:497-539. DOI: 10.1002/9781119201786.ch14
14. Ali S., Liu B., Su J.J. Corporate governance and stock liquidity dimensions: Panel evidence from pure order-driven Australian market. International Review of Economics & Finance. 2017;50:275-304. DOI: 10.1016/j.iref.2017.03.005
15. Anagnostidis P., Fontaine P. Liquidity commonality and high frequency trading: Evidence from the French stock market. International Review of Financial Analysis. 2020;69:101428. DOI: 10.1016/j.irfa.2019.101428
16. Będowska-Sójka B. The coherence of liquidity measures. The evidence from the emerging market. Finance Research Letters. 2018;27:118-123. DOI: 10.1016/j.frl.2018.02.014
17. Nikiforow M. Does training on behavioural finance influence fund managers perception and behaviour? Applied Financial Economics. 2010;20(7):515-528. DOI: 10.1080/09603100903459832
18. Shiller R.J. From efficient markets theory to behavioral finance. Journal of Economic Perspectives. 2003;17(1):83-104. DOI: 10.1257/089533003321164967
Review
For citations:
Kolmakov V.V., Polyakova A.G., Polyakov S.V. Behavioral Finance Explanation of Retail Investors’ Approach to Portfolio Design. Finance: Theory and Practice. 2025;29(1):133-145. https://doi.org/10.26794/2587-5671-2025-29-1-133-145