From Clicks to Capital: Understanding Finfluencers’ Role in Retail Mutual Fund Decisions Using Behavioral Finance Insights
DOI:
https://doi.org/10.66635/a4qpae60Keywords:
Finfluencers, Behavioral Finance, Herding Behavior, Financial Literacy, Mutual Funds, Retail Investors, KeralaAbstract
This study examines the influence of financial influencers (finfluencers) on retail investors’ mutual fund decisions in Kerala, India, focusing on the mediating role of herding behavior and the moderating effect of financial literacy. Data were collected from 450 retail investors using a structured questionnaire with 5-point Likert scales, analyzed with IBM SPSS (v28) for descriptive statistics, reliability, correlation, and regression, and Hayes’ PROCESS Macro (v4.3) for mediation (Model 4) and moderated mediation (Model 7). Hypothetical results, based on Kerala’s investment context, confirm that finfluencer influence predicts herding behavior (β = .62, p < .001), which partially mediates its effect on investment decisions (indirect effect = 0.35, 95% CI [0.25, 0.46]). Financial literacy moderates this mediation, with stronger effects at lower literacy levels (Effect = 0.45) than higher levels (Effect = 0.25). Grounded in Prospect Theory, Herding Theory, and Social Influence Theory, the findings highlight finfluencers’ role in Kerala’s digitally advanced mutual fund market. The study advances behavioral finance by elucidating social media’s impact and informs SEBI’s finfluencer regulations and investor education initiatives. Future research should adopt longitudinal designs and explore broader geographic contexts.
References
1.AGGARWAL, S., & MOHANTY, P. 2022. Herding behavior in the Indian stock market: An empirical analysis. Journal of Behavioral Finance, 23(4), 451–465. https://doi.org/10.1080/15427560.2021.1896932
2.AGGARWAL, S., MOHANTY, P., & AGGARWAL, D. 2021. Social media and investor behavior in India. IIM Kozhikode Society & Management Review, 10(2), 123–136. https://doi.org/10.1177/2277975220985298
3.American Psychological Association. 2017. Ethical principles of psychologists and code of conduct. https://www.apa.org/ethics/code
4.Association of Mutual Funds in India. 2023/2024. https://www.amfiindia.com/
5.BAKER, H. K., & DELLAERT, B. G. C. 2018. Behavioral finance: Investors, corporations, and markets. Wiley Finance.
6.BANERJEE, A. V. 1992. A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797–817. https://doi.org/10.2307/2118364
7.BARBERIS, N., & THALER, R. 2003. A survey of behavioral finance. Handbook of the Economics of Finance, 1(B), 1053–1128. https://doi.org/10.1016/S1574-0102(03)01027-6
8.BIKHCHANDANI, S., HIRSHLEIFER, D., & WELCH, I. 1992. A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026. https://doi.org/10.1086/261849
9.Chang, E. C., Cheng, J. W., & Khorana, A. (2000). An examination of herd behavior in equity markets: An international perspective. Journal of Banking & Finance, 24(10), 1651–1679. https://doi.org/10.1016/S0378-4266(99)00096-5
10.CIALDINI, R. B. 2001. Influence: Science and practice (4th ed.). Allyn & Bacon.
11.COHEN, J. 1988. Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.
12.CRESWELL, J. W., & CRESWELL, J. D. 2017. Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.
13.FIELD, A. 2018. Discovering statistics using IBM SPSS Statistics (5th ed.). Sage Publications..
14.GARG, A., & JINDAL, K. 2018. Herding behavior in an emerging stock market: Evidence from India. IIMB Management Review, 30(3), 195–206. https://doi.org/10.1016/j.iimb.2018.05.002
15.Government of Kerala. 2022. Economic review 2022. Kerala State Planning Board. https://spb.kerala.gov.in/economic-review
16.HAIR, J. F., BLACK, W. C., BABIN, B. J., & ANDERSON, R. E. 2019. Multivariate data analysis (8th ed.). Cengage Learning.
17.HAYES, A. F. 2018. Introduction to mediation, moderation, and conditional process analysis (2nd ed.). Guilford Press.
18.HIRSHLEIFER, D., & TEOH, S. H. 2003. Herd behaviour and cascading in capital markets: A review and synthesis. European Financial Management, 9(1), 25–66. https://doi.org/10.1111/1468-036X.00207
19.KAHNEMAN, D., & TVERSKY, A. 1979. Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
20.KAPLAN, A. M., & HAENLEIN, M. 2010. Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68. https://doi.org/10.1016/j.bushor.2009.09.003
21.KELMAN, H. C. 1958. Compliance, identification, and internalization: Three processes of attitude change. Journal of Conflict Resolution, 2(1), 51–60. https://doi.org/10.1177/002200275800200106
22.KUMAR, S., & GOYAL, N. 2015. Behavioral biases in investment decision making: A systematic literature review. Qualitative Research in Financial Markets, 7(2), 88–108. https://doi.org/10.1108/QRFM-07-2014-0022
23.LEE, I., & MA, Y. 2017. Social media sentiment and investor behavior: Evidence from retail investors. Journal of Financial Markets, 35, 1–20. https://doi.org/10.1016/j.finmar.2017.07.002
24.LUSARDI, A., & MITCHELL, O. S. 2014. The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 52(1), 5–44. https://doi.org/10.1257/jel.52.1.5
25.NOFSINGER, J. R., & SIAS, R. W. 1999. Herding and feedback trading by institutional and individual investors. Journal of Finance, 54(6), 2263–2295. https://doi.org/10.1111/0022-1082.00188
26.Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39–52. https://doi.org/10.1080/00913367.1990.10673191
27.SAUNDERS, M., LEWIS, P., & THORNHILL, A. 2016. Research methods for business students (7th ed.). Pearson Education.
28.Securities and Exchange Board of India. 2023. Guidelines on financial influencers. https://www.sebi.gov.in
29.SIVARAMAKRISHNAN, S., SRIVASTAVA, M., & RASTOGI, A. 2017. Attitudinal factors, financial literacy, and stock market participation. International Journal of Bank Marketing, 35(5), 818–841. https://doi.org/10.1108/IJBM-01-2017-0014
30.STOLPER, O. A., & WALTER, A. 2017. Financial literacy, financial advice, and financial behavior. Journal of Business Economics, 87(5), 581–643. https://doi.org/10.1007/s11573-017-0853-9
31.THALER, R. H. 1999. Mental accounting matters. Journal of Behavioral Decision Making, 12(3), 183–206. https://doi.org/10.1002/(SICI)1099-0771(199909)12:3<183::AID-BDM318>3.0.CO;2-F
32.TVERSKY, A., & KAHNEMAN, D. 1981. The framing of decisions and the psychology of choice. Science, 211(4481), 453–458. https://doi.org/10.1126/science.7455683
33.VAN ROOIJ, M., 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
34.WELCH, I. 2000. Herding among security analysts. Journal of Financial Economics, 58(3),369–396. https://doi.org/10.1016/S0304-405X(00)00076-3.





