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Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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Open Access Research Article

Analytical study of behavioral dimensions of retail investors towards investment decision making & performance in stock market

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pp. 417–425Vol. 44Issue 3April 2023DOI: 10.47974/JIOS-1358XML
Published Online:
11 Aug 2023
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1358
Pages:
417–425

Abstract

The purpose of this research study is to explore the behavioral dimensions specifically, representativeness, availability, anchoring, overconfidence, loss aversion, regret aversion, and herding biases of retail investors towards investment decision-making and their performance in the stock market. To achieve the research objectives, a survey questionnaire method was adopted to collect data from 467 retail investors using the convenience sampling technique. The study has used Structural Equation Modeling (SEM) approach to analyze the relationship between the predictor variables and investors’ behavior. The findings of the study suggest that Overconfidence Bias is the most significant predictor variable for individual investors’ behavior, followed by loss aversion, and then anchoring bias. In contrast, availability bias contributes the least to investors’ behavior. This study will be helpful in identifying and unraveling the irrational factors that affect investors’ decision-making processes, leading to better investment decisions and improved performance in the stock market.

Keywords

Subject Classifications

91C1597M7097N2097M10

References

[1] Baker, H. K., & Ricciardi, V., How biases affect investor behaviour. The European Financial Review, 7-10 (2014).
[2] Banerji, J., Kundu, K., &Alam, P. A. Influence of behavioral biases on investment behavior. SCMS Journal of Indian Management, 17(1), 81-98 (2020).
[3] Barber, B. M., & Odean, T., The behavior of individual investors. In Handbook of the Economics of Finance, Vol. 2, pp. 1533-1570 (2013). Elsevier.
[4] Barberis, N., & Thaler, R., A survey of behavioral finance. Handbook of the Economics of Finance, 1, 1053-1128 (2003).
[5] Bashir, T., Azam, N., Butt, A. A., Javed, A., & Tanvir, A., Are behavioral biases influenced by demographic characteristics & personality traits? Evidence from Pakistan. European Scientific Journal, 9(29) (2013).
[6] Cohen, J., Statistical power analysis. Current directions in psychological science, 1(3), 98-101 (1992).
[7] Davcik, N. S., The use and misuse of structural equation modeling in management research: A review and critique. Journal of Advances in Management Research (2014).
[8] DeBondt, W. P., Betting on trends: Intuitive forecasts of financial risk and return. International Journal of forecasting, 9(3), 355-371 (1993).
[9] Gefen, D., Straub, D., & Boudreau, M. C., Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(1), 7 (2000).
[10] Hair Jr, J. F., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European business review, 26(2), 106-121 (2014).
[11] Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M., PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123 (2017).
[12] Kahneman, D., & Tversky, A., On the interpretation of intuitive probability: A reply to Jonathan Cohen (1979).
[13] Kengatharan, L., &Kengatharan, N., The influence of behavioral factors in making investment decisions and performance: Study on investors of Colombo Stock Exchange, Sri Lanka. Asian Journal of Finance & Accounting, 6(1), 1 (2014).
[14] Kliger, D., & Kudryavtsev, A., The availability heuristic and investors’ reaction to company-specific events. The Journal of Behavioral Finance, 11(1), 50-65 (2010).
[15] Kumari, A., Goyal, R., & Kumar, S., Review on Behavioral Factors and Individual Investors Psychology Towards Investment Decision Making. ECS Transactions, 107(1), 8009 (2022).
[16] Lehenkari, M., & Perttunen, J., Holding on to the losers: Finnish evidence. The Journal of Behavioral Finance, 5(2), 116-126 (2004).
[17] Mertzanis, C., & Allam, N., Political instability and herding behaviour: Evidence from Egypt’s stock market. Journal of Emerging Market Finance, 17(1), 29-59 (2018).
[18] Mushinada, V. N. C., &Veluri, V. S. S., Investors overconfidence behaviour at Bombay stock exchange. International Journal of Managerial Finance (2018).
[19] Nofsinger, J. R., & Varma, A., Availability, recency, and sophistication in the repurchasing behavior of retail investors. Journal of Banking & Finance, 37(7), 2572-2585 (2013).
[20] Nunnally, J. C., An overview of psychological measurement. Clinical Diagnosis of Mental Disorders, 97-146 (1978).
[21] Qin, J. Regret-based capital asset pricing model. Journal of Banking & Finance, 114, 105784 (2020).
[22] Qureshi, S. A., Measuring validity of the determinants of investment decision making. International Journal. Department of Business Administration, Allama Iqbal Open University, Islamabad, Pakistan (2012).
[23] Qureshi, S. A., Rehman, K. U., &Hunjra, A. I., Factors affecting investment decision making of equity fund managers. Wulfenia Journal, 19(10) (2012).
[24] Ricciardi, V., & Simon, H. K., Behavioral finance: A new perspective for investors and financial professionals. Retrieved from (2001).
[25] Russo, J. E., & Schoemaker, P. J., Managing overconfidence. Sloan management review, 33(2), 7-17 (1992).
[26] Sasaki, M., Laamrani, A., & Yamashiro, M., An interactive genetic algorithm for portfolio optimization considering the decision maker’s preference. Journal of Information and Optimization Sciences, 39(4), 989-1008 (2018).
[27] Shefrin, H.,  Recent developments in behavioral finance. The Journal of Wealth Management, 3(1), 25-37 (2000).
[28] Shin, H., & Park, S., Do foreign investors mitigate anchoring bias in stock market? Evidence based on post-earnings announcement drift. Pacific-Basin Finance Journal, 48, 224-240 (2018).
[29] Tversky, A., & Kahneman, D., Availability: A heuristic for judging frequency and probability. Cognitive psychology, 5(2), 207-232 (1973).
[30] Wheatcroft, E., & Wynn, H. P., Probability distortion with applications to investment bias. Journal of Statistics and Management Systems, 24(3), 591-611 (2021).
[31] Wright, W. F., & Anderson, U., Effects of situation familiarity and financial incentives on use of the anchoring and adjustment heuristic for probability assessment. Organizational Behavior and Human Decision Processes, 44(1), 68-82 (1989).

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