Home / Current Issue / Paper 1722422
Understanding Investor Behavior: Evidence from Individual Investors in Varanasi, India
Subject area: Management and Commerce · Area of research: Behavioral Finance
DOI: 10.64388/IREV10I2-1722422
Abstract
Behavioral finance challenges the classical idea that investors make rational decisions based on information and options by arguing that psychological biases systematically distort investors' financial judgment. This study examines five behavioral biases: overconfidence, anchoring, herding, representativeness, and regret aversion and their indirect effects on investment decision-making through perceived risk among individual investors in Varanasi, a tier-two city in India. The primary data were obtained from 209 individual investors through a structured, five-point Likert-scale questionnaire and a convenience sampling method; the model was estimated using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS. The measurement model demonstrated good internal consistency, convergent validity, and discriminant validity. The structural model was able to support all eleven hypotheses: the effects from anchoring, herding, representativeness and regret aversion were positive and significant in relation to perceived risk, whereas the effects from overconfidence were negative and significant in relation to perceived risk; the effect of perceived risk on investment decision-making was negative and significant, and perceived risk carried significant indirect effects from all five behavioral biases to investment decision-making. The highest positive path coefficient for perceived risk was for regret aversion, and the largest effect size in the model was for the path from perceived risk to decision. The results indicate that perceived risk is a significant pathway between cognitive and emotional biases and financial decisions and provide a valuable set of cues for investor education and advice.
Keywords
behavioral finance; behavioral biases; perceived risk; investment decision-making; individual investors
References
[1] E. F. Fama, “Efficient capital markets: A review of theory and empirical work,” The journal of Finance, vol. 25, no. 2, pp. 383– 417, 1970.
[2] W. F. M. De Bondt and R. Thaler, “Does the Stock Market Overreact?,” The Journal of Finance, vol. 40, no. 3, pp. 793–805, Jul. 1985, 6261.1985.tb05004.x.
[3] N. Jegadeesh and S. Titman, “Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency,” The Journal of Finance, vol. 48, no. 1, pp. 65– 91, Mar. 1993, 6261.1993.tb04702.x.
[4] R. J. Shiller, “Do stock prices move too much to be justified by subsequent changes in dividends?,” 1981, Accessed: Aug. 16, 2026. [Online]. Available: https://www.aeaweb.org/aer/top20/71.3.421- 436.pdf?mod=article_inline
[5] B. M. Barber and T. Odean, “Boys will be boys: Gender, overconfidence, and common stock investment,” The quarterly journal of economics, vol. 116, no. 1, pp. 261–292, 2001.
[6] H. Shefrin and M. Statman, “The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence,” The Journal of Finance, vol. 40, no. 3, pp. 777– 790, Jul. 1985, 6261.1985.tb05002.x.
[7] A. Hans, F. S. Choudhary, and T. Sudan, “Behavioral determinants of investment decisions: evidence from Indian retail equity investors in the wake of COVID-19 induced financial risks,” International Journal of Accounting & Information Management, vol. 34, no. 1, pp. 88–122, 2026.
[8] Z. Ahmed, S. Rasool, Q. Saleem, M. A. Khan, and S. Kanwal, “Mediating Role of Risk Perception Between Behavioral Biases and Investor’s Investment Decisions,” Sage Open, vol. 12, no. 2, p. 21582440221097394, Apr. 2022, 10.1177/21582440221097394.
[9] P. Kumar, Md. A. Islam, R. Pillai, and M. I. Tabash, “Risk Perception-Perceived Investor Performance Nexus: Evaluating the Mediating Effects of Heuristics and Prospects With Gender as a Moderator,” Sage Open, vol. 14, no. 2, p. 21582440241256444, Apr. 2024,
[10] N. T. Chowdhury, N. S. Mahdzan, and M. Rahman, “Impact of behavioural biases on stock market participation in the context of emerging markets: the moderating role of financial knowledge,” South Asian Journal of Business Studies, vol. 15, no. 1, pp. 100–121, 2026.
[11] D. Kahneman and A. Tversky, “Prospect Theory: An Analysis of Decision Under Risk,” in World Scientific Handbook in Financial Economics Series, vol. 4, WORLD SCIENTIFIC, 2013, pp. 99–127. 10.1142/9789814417358_0006.
[12] A. Tversky and D. Kahneman, “Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty.,” Science, vol. 185, no. 4157, pp. 1124–1131, Sep. 1974, 10.1126/science.185.4157.1124.
[13] M. Statman, Behavioral finance: The second generation. CFA Institute Research Foundation, 2019. Accessed: Aug. 16, 2026. [Online]. Available: https://books.google.com/books?hl=en&lr= &id=59PBDwAAQBAJ&oi=fnd&pg=PT5& dq=Statman,+M.+(2019).+Behavioral+finan ce:+The+second+generation.+CFA+Institute +Research+Foundation.&ots=kCSXEA73n X&sig=BzuB-6X9DUWLcyDy- EjFJFUdxDQ
[14] J. Jain, N. Walia, H. Singla, S. Singh, K. Sood, and S. Grima, “Heuristic biases as mental shortcuts to investment decision- making: a mediation analysis of risk perception,” Risks, vol. 11, no. 4, p. 72, 2023.
[15] L. Malik, A. Quddus, W. A. Watto, H. A. Barakat, M. Fahlevi, and A. L. Aziz, “Behavioural biases and investment decisions with mediating role of risk perception and moderating role of financial literacy,” Discov Psychol, vol. 6, no. 1, p. 122, Mar. 2026, 00669-9.
[16] H. Nabeshima, M. S. R. Khan, and Y. Kadoya, “Overconfidence and investment loss tolerance: A large-scale survey analysis of Japanese investors,” Risks, vol. 13, no. 8, p. 142, 2025.
[17] S. Z. Ul Abdin, F. Qureshi, J. Iqbal, and S. Sultana, “Overconfidence bias and investment performance: A mediating effect of risk propensity,” Borsa Istanbul Review, vol. 22, no. 4, pp. 780–793, 2022.
[18] D. Singh, G. Malik, P. Jain, and M. Abouraia, “A systematic review and research agenda on the causes and consequences of financial overconfidence,” Cogent Economics & Finance, vol. 12, no. 1, p. 2348543, Dec. 2024,
[19] H. Maheshwari, A. K. Samantaray, K. Sandhu, and R. R. Panigrahi, “Insight over instinct: AI’s role in rationalizing investment decisions,” International Journal of Accounting & Information Management, vol. 33, no. 4, pp. 672–692, 2025.
[20] A. H. Q. Adhytya and A. Rafik, “What Drives Retail Investors’ Decisions in the Indonesian Market? Understanding the Role of Cognitive and Social Biases,” Journal of Enterprise and Development (JED), vol. 8, no. 1, pp. 131– 145, 2026.
[21] M. Sahu, F. Uddin, and M. B. Hossain, “Exploring the psychological drivers of cryptocurrency investment biases: Evidence from Indian retail investors,” International Journal of Financial Studies, vol. 13, no. 4, p. 219, 2025.
[22] E. D. Sigalingging, A. Maksum, R. Bukit, and M. Khaddaf, “Study of Investor Behavior on Stock Investment Decision Making with Self- Monitoring as a Moderating Variable in Generation Y and Generation Z,” Advances in Decision Sciences, vol. 29, no. 3, pp. 222– 255, 2025.
[23] R. K. Raut, N. Das, and R. Mishra, “Behaviour of Individual Investors in Stock Market Trading: Evidence from India,” Global Business Review, vol. 21, no. 3, pp. 818–833, Jun. 2020, 10.1177/0972150918778915.
[24] R. Kumar, “Determinants of individual investor behaviour in stock investment decisions,” AFRE (Accounting and Financial Review), 2018, Accessed: Aug. 16, 2026. [Online]. Available: https://www.academia.edu/download/92683 985/6a0233867310e27bed60748866e92fb2a 504.pdf
[25] J. Jain, N. Walia, M. Kaur, and S. Singh, “Behavioural biases affecting investors’ decision-making process: a scale development approach,” Management Research Review, vol. 45, no. 8, pp. 1079– 1098, 2022.
[26] A. R. Das and S. Panja, “An Empirical Investigation of the Impact of Retail Investors’ Sentiment on their Investment Decisions,” Australasian Accounting, Business and Finance Journal, vol. 18, no. 4, 2024, Accessed: Aug. 16, 2026. [Online]. Available: https://www.uowoajournals.org/aabfj/article/ id/1507/
[27] K. Wangzhou, M. Khan, S. Hussain, M. Ishfaq, and R. Farooqi, “Effect of regret aversion and information cascade on investment decisions in the real estate sector: The mediating role of risk perception and the moderating effect of financial literacy,” Frontiers in Psychology, vol. 12, p. 736753, 2021.
[28] H. Srivastava and S. Moid, “Behavioral biases and individual investors investment decisions: Mediating role of financial risk tolerance,” Quality & Quantity, vol. 60, no. 1, pp. 2275–2295, 2026.
[29] J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, “An Introduction to Structural Equation Modeling,” in Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R, in Classroom Companion: Business. , Cham: Springer International Publishing, 2021, pp. 1–29. 80519-7_1.
[30] J. Cohen, Statistical power analysis for the behavioral sciences. routledge, 2013. Accessed: Aug. 16, 2026. [Online]. Available: https://books.google.com/books?hl=en&lr= &id=2v9zDAsLvA0C&oi=fnd&pg=PR3&d q=Cohen,+J.+(1988).+Statistical+power+an alysis+for+the+behavioral+sciences+(2nd+e d.).+Lawrence+Erlbaum+Associates.&ots=x 8iDiW9zAV&sig=D_EvgAiB3PPlrzLvm3iO lUrIv2Y
[31] F. Faul, E. Erdfelder, A. Buchner, and A.-G. Lang, “Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses,” Behavior Research Methods, vol. 41, no. 4, pp. 1149–1160, Nov. 2009,
[32] M. H. Rasheed, A. Rafique, T. Zahid, and M. W. Akhtar, “Factors influencing investor’s decision making in Pakistan: Moderating the role of locus of control,” Review of Behavioral Finance, vol. 10, no. 1, pp. 70–87, 2018.
[33] H. A. Hassan Al-Tamimi and A. Anood Bin Kalli, “Financial literacy and investment decisions of UAE investors,” The journal of risk finance, vol. 10, no. 5, pp. 500–516, 2009.
[34] J. Jain, N. Walia, M. Kaur, K. Sood, and D. Kaur, “Shaping Investment Decisions Through Financial Literacy: Do Herding and Overconfidence Bias Mediate the Relationship?,” Global Business Review, p. 09721509221147409, Jun. 2023, 10.1177/09721509221147409.
How to cite this paper
@article{1722422,
author = {Shakti Kant Sharma, Ajeet Kumar, Dr. Avadhesh Singh, Dr. Akhil Mishra},
title = {Understanding Investor Behavior: Evidence from Individual Investors in Varanasi, India},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {2},
pages = {2150-2166},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1722422.pdf},
abstract = {Behavioral finance challenges the classical idea that investors make rational decisions based on information and options by arguing that psychological biases systematically distort investors' financial judgment. This study examines five behavioral biases: overconfidence, anchoring, herding, representativeness, and regret aversion and their indirect effects on investment decision-making through perceived risk among individual investors in Varanasi, a tier-two city in India. The primary data were obtained from 209 individual investors through a structured, five-point Likert-scale questionnaire and a convenience sampling method; the model was estimated using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS. The measurement model demonstrated good internal consistency, convergent validity, and discriminant validity. The structural model was able to support all eleven hypotheses: the effects from anchoring, herding, representativeness and regret aversion were positive and significant in relation to perceived risk, whereas the effects from overconfidence were negative and significant in relation to perceived risk; the effect of perceived risk on investment decision-making was negative and significant, and perceived risk carried significant indirect effects from all five behavioral biases to investment decision-making. The highest positive path coefficient for perceived risk was for regret aversion, and the largest effect size in the model was for the path from perceived risk to decision. The results indicate that perceived risk is a significant pathway between cognitive and emotional biases and financial decisions and provide a valuable set of cues for investor education and advice.},
keywords = {behavioral finance; behavioral biases; perceived risk; investment decision-making; individual investors},
month = {August},
doi = {https://doi.org/10.64388/IREV10I2-1722422}
}