Decoding Investor Behaviour: A Study On Investment Strategies, Risk Perception, And Satisfaction Levels Among Mutual Fund Investors
DOI:
https://doi.org/10.66635/af5q5c87Keywords:
Mutual Funds, Investor Behaviour, Investment Strategies, Risk Perception, Investor Satisfaction, Systematic Investment Plan (SIP)Abstract
This study examines the demographic, strategic, and behavioural determinants of investor satisfaction among mutual fund investors, addressing the gap in existing literature that typically studies these factors in isolation. Using primary data collected from 500 mutual fund investors through a structured questionnaire, the study analyses demographic profile, investment strategies, risk management practices, and reactions to market movements through percentage analysis, cross-tabulation, one-way ANOVA, and multiple regression analysis. The findings reveal that the typical investor is a middle-aged, educated, salaried individual with moderate income, investing primarily for retirement and children's education, and relying heavily on mutual fund distributor recommendations as both a strategy and a decision criterion. ANOVA results confirm that income, age, and occupation each significantly influence overall satisfaction, perceived strategy effectiveness, annual returns, and strategy performance ratings. The regression model explains 46.7% of the variance in overall satisfaction, with following market trends (β = 0.491), strategy used (β = 0.338), and income (β = 0.204) emerging as the strongest predictors, while confidence level and age show no significant independent effect. The study concludes that investor satisfaction is driven more by behavioural engagement and financial capacity than by psychological disposition alone, and offers practical suggestions for investors, distributors, fund houses, and policymakers to strengthen investor education and distributor accountability.
References
1.Association of Mutual Funds in India. (2026a, January). AMFI investor trends — January 2026. https://www.amfiindia.com/uploads/AMFI_Investor_Trends_Jan2026_19542d0543.pdf
2.Association of Mutual Funds in India. (2026b, March). AMFI monthly note — March 2026. https://www.amfiindia.com/uploads/AMFI_Monthly_Note_Mar_2026_1f0a1f5c48.pdf
3.Association of Mutual Funds in India. (2026c, June). Indian mutual fund industry's average assets under management. https://www.amfiindia.com/articles/indian-mutual
4.Barber, B. M., & Odean, T. (2000). Trading is hazardous to your wealth: The common stock investment performance of individual investors. The Journal of Finance, 55(2), 773–806.
5.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.
6.Chaudhary, N. (2016). Demographic factors and investors' preference in mutual fund. SSRN Electronic Journal.
7.Das, S. K. (2012). Small investor's perceptions in mutual funds in Assam: An empirical analysis. Abhinav Journal of Research in Commerce and Management.
8.Dubey, K. K., & Bhadouria, S. S. (2023). Government employees' mutual fund moves: Understanding decision drivers with the theory of planned behavior. International Journal of Accounting, Business and Finance, 3(1), 1–14.
9.Halarnkar, S., & Usapkar, R. (2026). Factors determining professional mutual fund investors' behaviour. South India Journal of Social Sciences, 24(1), 84–88.
10.Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.
11.Kaur, I. (2018). Mutual fund investor's behaviour towards information search and selection criteria: Do knowledge and perception about mutual funds matter? Qualitative Research in Financial Markets, 10(4), 395–414.
12.Kaur, I., & Kaushik, K. P. (2016). Determinants of investment behaviour of investors towards mutual funds. Journal of Indian Business Research, 8(1), 19–42.
13.Modigliani, F., & Brumberg, R. (1954). Utility analysis and the consumption function: An interpretation of cross-section data. In K. K. Kurihara (Ed.), Post-Keynesian economics (pp. 388–436). Rutgers University Press.
14.Odean, T. (1998). Volume, volatility, price, and profit when all traders are above average. The Journal of Finance, 53(6), 1887–1934.
15.Phan, T. C., Rieger, M. O., & Wang, M. (2018). Survey data on Vietnamese retail investors' trading behavior and their psychological and behavioral patterns. Data in Brief. https://doi.org/10.1016/j.dib.2018.05.113
16.Shirke, S., & Kumar, A. (2025). Analyzing the effect of mutual fund distributors on building long-term investor relationships through systematic investment plans (SIPs). International Journal of Contemporary Research in Multidisciplinary, 4(1).
17.Singh, J., & Chander, S. (2003). What drives the investors towards mutual funds: An empirical analysis. The ICFAI Journal of Applied Finance, 9(8), 38–46.
18.Sirri, E. R., & Tufano, P. (1998). Costly search and mutual fund flows. The Journal of Finance, 53(5), 1589–1622.
19.Sultana, S. T. (2010). An empirical study of Indian individual investors' behavior. Global Journal of Finance and Management, 2(1), 19–33.
20.Thanki, H., Tripathy, N., & Shah, S. (2025). Investors' behavioral intention in mutual fund investments in India: Applicability of theory of planned behavior. Asia-Pacific Financial Markets, 32(3), 975–996.
