Financial Literacy as a Moderator in Behavioral Biases and Investor Decisions
DOI:
https://doi.org/10.17010/ijf/2025/v19i5/175045Keywords:
financial literacy
, behavioral biases, investor decision-making, retail investor, moderating effect.JEL Classification Codes
, G11, G41, G53Paper Submission Date
, August 25, 2024, Paper sent back for Revision, March 8, 2025, Paper Acceptance Date, April 5, Paper Published Online, May 15, 2025Abstract
Purpose : The first objective of this research paper was to examine the impact of behavioral biases on investment decisions. Additionally, the second objective was to analyze the moderating role of financial literacy in the relationship between behavioral biases and investment decisions in a developing country like India.
Design/Methodology/Approach : The conceptual framework was based on prospect theory and regret theory. The author considered six independent variables (herding bias, overconfidence bias, endowment bias, loss aversion bias, regret bias, and mental accounting bias), one dependent variable (investment decision), and one moderating variable (financial literacy). Data for the survey was collected using a structured questionnaire from 326 investors in Delhi and Noida.
Findings : The findings of this study revealed that behavioral biases influenced investors’ decisions. Another key finding was that financial literacy moderated the relationship between biases and investment decisions. In summary, higher financial literacy made investors more capable of identifying and overcoming biases. This insight enabled investors to make more logical and well-informed investment decisions.
Practical Implications : The research findings are significant for policymakers, managers, investors, and shareholders. Policymakers could design financial education programs and initiatives to improve financial literacy, fostering a more knowledgeable investor base. This will contribute to greater market stability.
Originality/Value : Previous research frequently examined individual biases but did not explore the potential influence of financial literacy on these biases in conjunction with demographic factors in the Indian context.
Downloads
Published
How to Cite
Issue
Section
References
Adil, M., Singh, Y., & Ansari, M. S. (2022). How financial literacy moderate the association between behaviour biases and investment decision? Asian Journal of Accounting Research, 7(1), 17–30. https://doi.org/10.1108/AJAR-09-2020-0086
Agnihotri, S., Malhan, S., & Singh, A. B. (2023). The emergence of social media as an antecedent of employability: A PLS-SEM approach. Prabandhan: Indian Journal of Management, 16(5), 57–73. https://doi.org/10.17010/pijom/2023/v16i5/171226
Annapurna, R., & Basri, S. (2024). Role of emotions in stock investment decisions: A critical review of the literature. Indian Journal of Finance, 18(5), 50–65. https://doi.org/10.17010/ijf/2024/v18i5/173842
Arif, K., Mubeen, M., & Sultana, S. (2022). Industry-wise sentimental herding: An application of state-space model in Pakistan. Pakistan Business Review, 23(3), 306–325. https://doi.org/10.22555/pbr.v23i3.629
Aziz, S., Mehmood, S., Khan, M. A., & Tangl, A. (2024). Role of behavioral biases in the investment decisions of Pakistan Stock Exchange investors: Moderating role of investment experience. Investment Management and Financial Innovations, 21(1), 146–156. https://doi.org/10.21511/imfi.21(1).2024.12
Bai, R. (2023). Impact of financial literacy, mental budgeting and self control on financial wellbeing: Mediating impact of investment decision making. PLoS ONE, 18(11), e0294466. https://doi.org/10.1371/journal.pone.0294466
Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. The Quarterly Journal of Economics, 116(1), 261–292. https://doi.org/10.1162/003355301556400
Bikhchandani, S., & Sharma, S. (2000). Herd behavior in financial markets. IMF Staff Papers, 47(3), 279–310. https://doi.org/10.2307/3867650
Choijil, E., Méndez, C. E., Wong, W.-K., Vieito, J. P., & Batmunkh, M.-U. (2022). Thirty years of herd behavior in financial markets: A bibliometric analysis. Research in International Business and Finance, 59, Article ID 101506. https://doi.org/10.1016/j.ribaf.2021.101506
Deshpande, P., Srivastava, A., Kulkarni, M., & Lenka, R. (2024). Impact of green transformational leadership on employee green behavior: A PLS-SEM approach. Prabandhan: Indian Journal of Management, 17(2), 24–43. https://doi.org/10.17010/pijom/2024/v17i2/173139
Dhungana, B. R., Bhandari, S., Ojha, D., & Sharma, L. K. (2022). Effect of cognitive biases on investment decision making: A case of Pokhara Valley, Nepal. Quest Journal of Management and Social Sciences, 4(1), 71–84. https://doi.org/10.3126/qjmss.v4i1.45868
Dzung, P. T., Tung, N. X., Van, L. H., & Thanh, N. T. (2021). Experimental evidences for prospect theory in Vietnam. Indian Journal of Finance, 15(5–7), 26–43. https://doi.org/10.17010/ijf/2021/v15i5-7/164491
Febriana, A. T., & Armansyah, R. F. (2024). Analysis of financial literacy, financial inclusion and mental accounting on investment decisions of the millenial generation in Surabaya. JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi), 8(1), 159–170. https://doi.org/10.36555/jasa.v8i1.2452
Güngör, S., Küçün, N. T., & Erol, K. (2022). Fear of missing out reality in financial investments. International Journal of Business & Management Studies, 3(10), 53–69. https://doi.org/10.56734/ijbms.v3n10a4
Gupta, P., & Kohli, B. (2021). Herding behavior in the Indian stock market: An empirical study. Indian Journal of Finance, 15(5–7), 86–99. https://doi.org/10.17010/ijf/2021/v15i5-7/164495
Hair Jr., J. F., Hult, G. T., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Cham. https://doi.org/10.1007/978-3-030-80519-7
Hayes, W. M., & Wedell, D. H. (2021). Regret in experience-based decisions: The effects of expected value differences and mixed gains and losses. Decision, 8(4), 277–294. https://doi.org/10.1037/dec0000156
Hoffmann, A. O., Shefrin, H., & Pennings, J. M. (2010). Behavioral portfolio analysis of individual investors. SSRN. https://doi.org/10.2139/ssrn.1629786
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–292. https://doi.org/10.2307/1914185
Kumar, S., & Chaurasia, A. (2024). The relationship between emotional biases and investment decisions: A meta-analysis. IIMT Journal of Management, 1(2), 171–185. https://doi.org/10.1108/IIMTJM-03-2024-0034
Manzoor, A., Jan, A., & Shafi, M. (2023). Do personality and demographic variances of individual investors challenge the assumption of rationality? A two-staged regression modeling-artificial neural network approach. Indian Journal of Finance, 17(10), 64–78. https://doi.org/10.17010/ijf/2023/v17i10/168549
Mavruk, T. (2022). Analysis of herding behavior in individual investor portfolios using machine learning algorithms. Research in International Business and Finance, 62, Article ID 101740. https://doi.org/10.1016/j.ribaf.2022.101740
Muehlbacher, S., & Kirchler, E. (2019). Individual differences in mental accounting. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.02866
Nkukpornu, E., Gyimah, P., & Sakyiwaa, L. (2020). Behavioural finance and investment decisions: Does behavioral bias matter? International Business Research, 13(11), 65–76. https://doi.org/10.5539/ibr.v13n11p65
Nurdinda, W., Muslihat, A., & Putra, R. A. (2020). Pengaruh regret aversion bias dan risk tolerance bagi investor Muda Jawa Barat terhadap Keputusan Investasi. AKUNSIKA: Jurnal Akuntansi dan Keuangan, 1(1), 30–38. https://doi.org/10.31963/akunsika.v1i1.1619
Prasetyo, P., Sumiati, & Ratnawati, K. (2023). The impact of disposition effect, herding and overconfidence on investment decision making moderated by financial literacy. International Journal of Research in Business and Social Science, 12(9), 241–251. https://doi.org/10.20525/ijrbs.v12i9.3026
Pratiwi, & Hariyanto, D. (2024). The influence of representativeness bias, optimism bias and loss aversion on stock investment decision making among investors in Pontianak City. Journal Digmensie Management and Public Sector, 5(2), 8–17. https://doi.org/10.48173/jdmps.v5i2.259
Rahawarin, F. R. (2023). The effect of loss aversion bias and regret aversion bias on financial decisions with financial literacy as an intervening variable. Accounting and Finance Studies, 3(1), 24–37. https://doi.org/10.47153/afs31.5512023
Ramadan, I. (2015). Cross-sectional absolute deviation approach for testing the herd behavior theory: The case of the ASE index. International Journal of Economics and Finance, 7(3), 188–193. https://doi.org/10.5539/ijef.v7n3p188
Rehman, M., Dhiman, B., Nguyen, N.-D., Dogra, R., & Sharma, A. (2024). Behavioral biases and regional diversity: An in-depth analysis of their influence on investment decisions - A SEM & MICOM approach. Qubahan Academic Journal, 4(2), 70–85. https://doi.org/10.48161/qaj.v4n2a448
Santi, F., Sahara, N. V., & Kamaludin, K. (2019). The effect of mental accounting on student's investment decisions: A study at investment gallery (GI) FEB University of Bengkulu and Syariah investment gallery (GIS) FEB Iain Bengkulu. Jurnal Ilmiah Ekonomi Bisnis, 24(2), 137–152. https://doi.org/10.35760/eb.2019.v24i2.1907
Seiler, M. J., & Seiler, V. L. (2010). Mitigating investor risk-seeking behavior in a down real estate market. Journal of Behavioral Finance, 11(3), 161–167. https://doi.org/10.1080/15427560.2010.507166
Silva, E. M., Moreira, R. D., & Bortolon, P. M. (2023). Mental accounting and decision making: A systematic literature review. Journal of Behavioral and Experimental Economics, 107, Article ID 102092. https://doi.org/10.1016/j.socec.2023.102092
Singh, R. K., Kumar, A., & Singh, Y. (2024). Mapping the influence of the COVID-19 pandemic on the Indian economy: Insights from the smart PLS-SEM approach with IPMA. Indian Journal of Finance, 18(7), 25–43. https://doi.org/10.17010/ijf/2024/v18i7/174031
Singh, R. K., Kumar, N., Singh, Y., Kumar, A., & Kumar, S. (2025). Moderating role of stock return volatility in corporate governance–firm value structural linkages: Insights from a PLS-SEM with IPMA approach. Indian Journal of Finance, 19(1), 8–32. https://doi.org/10.17010/ijf/2025/v19i1/174693
Sukamulja, S., Meilita, A. Y., & Senoputri, D. (2019). Regret aversion bias, mental accounting, overconfidence, and risk perception in investment decision making on Generation Y workers in Yogyakarta. International Journal of Economics and Management Studies, 6(7), 102–110. https://doi.org/10.14445/23939125/ijems-v6i7p116
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Thaler, R. H. (2016). Behavioral economics: Past, present, and future. American Economic Review, 106(7), 1577–1600. https://doi.org/10.1257/aer.106.7.1577
Vaghela, P. S., Kapadia, J. M., Patel, H. R., & Patil, A. G. (2023). Effect of financial literacy and attitude on financial behavior among university students. Indian Journal of Finance, 17(8), 43–57. https://doi.org/10.17010/ijf/2023/v17i8/173010
van Rooij, M. V., Lusardi, A., & Alessie, R. (2011). Financial literacy and stock market participation. Journal of Financial Economics, 101(2), 449–472. https://doi.org/10.1016/j.jfineco.2011.03.006
Wang, Q., & Zhang, J. (2015). Does individual investor trading impact firm valuation? Journal of Corporate Finance, 35, 120–135. https://doi.org/10.1016/j.jcorpfin.2015.08.001
Youssef, A., Tantawi, P., Ragheb, M., & Saeed, M. (2021). The effect of financial literacy on behavioral biases of individual investors in the Egyptian Stock Exchange. Corporate Governance and Organizational Behavior Review, 5(2), 120–134. https://doi.org/10.22495/cgobrv5i2sip1
Yuwono, W., & Elmadiani, C. (2021). The effect of emotional contagion, availability bias, overconfidence, loss aversion, and herding on investment decisions in the millennial generation during the beginning of the Covid-19 pandemic. In Proceedings of the 1st International Conference on Law, Social Science, Economics, and Education, ICLSSEE 2021. European Union Digital Library. https://doi.org/10.4108/eai.6-3-2021.2306475