Holding period for positive return from Indian mutual funds
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DOIhttp://dx.doi.org/10.21511/imfi.16(1).2019.27
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Article InfoVolume 16 2019, Issue #1, pp. 346-364
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In India, households predominantly prefer to invest their surplus in financial securities, which provide stable return irrespective of whether they beat inflation or help in creating wealth. However, financial planners advise their clients to invest their surplus for long term in risky assets such as mutual funds to generate inflation beating returns. But when households ask for the meaning of long term in a definite number, it varies among the financial advisors. Hence, the study made an attempt to answer this question by calculating the minimum time duration required to generate a minimum positive return for two indices (NIFTY 50, S&P BSE SENSEX) and 6 mutual fund schemes for a period of 23 years and the same two indices (NIFTY 50, S&P BSE SENSEX) and 20 mutual fund schemes for a period of 12 years and found out that the time horizon or the long term to ensure minimum positive return ranges from 5 years to 9 years depending up on the type of fund or the level of risk associated with the mutual fund schemes.
- Keywords
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JEL Classification (Paper profile tab)G0, G1, G11
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References27
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Tables23
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Figures0
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- Table 1. Changes in financial assets of the household (in %)
- Table 2. Risks and return of market indices
- Table 3. Stationary test results
- Table 4. Rolling period CAGR (in %) for S&P BSE SENSEX, NIFTY 50, FIPF, FIBF & FIPPF schemes (from 1995 to 2018)
- Table 5. Rolling period CAGR (in %) for ABSLEH95F, HDFCCBVF and SBIEHF schemes (from 1995 to 2018)
- Table 6. Rolling period CAGR (in %) for ABSLEF, ABSLEH95F, ABSLFLEF, DSPEHF, DSPOF schemes (from 2006 to 2018)
- Table 7. Rolling period CAGR (in %) for FIEHF, FISCF, FITS, HDFCCBVF, HDFCHEF schemes (from 2006 to 2018)
- Table 8. Rolling period CAGR (in %) for HDFCLTAF, HDFCLTOP100F, SBIBF, SBIEHF, SBIMMCF schemes (from 2006 to 2018)
- Table 9. Rolling period CAGR (in %) for FIPF, FIBF, FIPPF, SBIMMULCF, SBIMTGF schemes (from 2006 to 2018)
- Table 10. Rolling period CAGR (in %) for market indices S&P BSE SENSEX and NIFTY 50 (from 2006 to 2018)
- Table 11. Rolling period risk and return behavior of S&P BSE SENSEX and NIFTY (from 1995 to 2018)
- Table 12. Rolling period risk and return behavior of FIBF, FIPF and FIPPF (1995–2018)
- Table 13. Rolling period risk and return behavior of ABSLEH95F, HDFCCBVF and SBIEHF (1995–2018)
- Table 14. Rolling period risk and return behavior of ABSLEF, ABSLEH95F and ABSLFLEF (2006–2018)
- Table 15. Rolling period risk and return behavior of FIBF, FIHEF and FIPF (2006–2018)
- Table 16. Rolling period risk and return behavior of FIPPF, FISCF and DSPEHF (2006–2018)
- Table 17. Rolling period risk and return behavior of FITS, HDFCCBVF and HDFCHEF (2006-2018)
- Table 18. Rolling period risk and return behavior of HDFCLTAF, HDFCTOP100F and SBIBF (2006–2018)
- Table 19. Rolling period risk and return behavior of SBIEHF, SBIMMCF and SBIMTF (2006–2018)
- Table 20. Rolling period risk and return behavior of DSPEOF and SBIMMULCF (2006–2018)
- Table 21. Rolling period risk and return behavior of SENSEX and Nifty (2006–2018)
- Table 22. Summary of findings of minimum holding period for positive returns across indices and different categories of mutual fund schemes
- Table 23. Summary of findings
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- Adhikary, A., Bora, B., & Kumar, J. (2014). Mutual Fund Performance and Investor’s Perception: An Indian Perspective. In Handbook of Research on Strategic Business Infrastructure Development and Contemporary Issues in Finance (pp. 351-361). IGI Global.
- Anagol, S., Marisetty, V., Sane, R., & Venugopal, B. (2017). On the impact of regulating commissions: evidence from the Indian mutual funds market. The World Bank Economic Review, 31(1), 241-270.
- Anand, S., & Murugaiah, V. (2006). Analysis of Components of Investment Performance – An Empirical Study of Mutual Funds in India (10th Indian Institute of Capital Markets Conference. ICFAI: Hyderabad).
- Bernstein, P. L. (1993). Is investing for the long term theory or just mumbo-jumbo? Journal of Post Keynesian Economics, 15(3), 387-393.
- Businesstoday (2016). Virtue of Long term Investing.
- Chakraborty, S., Kumar, S., Lobo, L. S. (2018). A Factorial Analysis of Information Ratio and Its Causal Effect on Yearly Return of Net Asset Value – A Study of Indian Equity Diversified Mutual Fund Schemes. International Journal of Engineering and Technology (UAE), 7(4.41), 707-712.
- Cremers, K. J. M., & Petajisto, A. (2009). How Active is Your Fund Manager? A New Measure That Predicts Performance. The Review of Financial Studies, 22(9), 3329-3365.
- Dhar, J., & Mandal, K. (2014). Market timing abilities of Indian mutual fund managers: An empirical analysis. Decision, 41(3), 299-311.
- Fama, E. F., & French, K. R. (2010). Luck versus Skill in the Cross-Section of Mutual Fund Returns. Journal of Finance, 65(5), 1915-1947.
- Finance week (2004, May). Sensible Long Term of Investing (58-59).
- He, W., Cao, B., & Baker, H. K. (2015). The performance and market timing ability of Chinese mutual funds. Financial Services Review, 24(3), 289-312.
- Javier Estrada, K. (2007). Investing for the long term: Techniques and Perspective for the European Market.
- Jensen, Michael C. (1967). The Performance of Mutual Funds in the Period 1945-1964. Journal of Finance, 23(2), 389-416.
- Kaur, S., & Bajwa, R. (2017). Impact of size on performance of Indian equity mutual funds. International Journal of Applied Business and Economic Research, 15(9), 283-294.
- Kavita, Arora (2015). Risk-adjusted Performance Evaluation of Indian Mutual Fund Schemes. Paradigm, 19(1), 79-94.
- Kumar, S., & Katyal, H. (2017). Evaluation of market timing abilities of Indian mutual fund managers: An empirical study. International Journal of Applied Business and Economic Research, 15(9), 421-426.
- Mishra, R., & Ahuja, V. (2016). Performance evaluation of indian mutual funds during bull and bear periods. Indian Journal of Finance, 10(8), 24-41.
- Mohanasundari, & Vidhyapriya (2015). Indian mutual fund industry: An impact of investor’s perception and performance of tax saving schemes in mutual fund. International Business Management, 9(3), 267-272.
- Saji, T. G., & Nair, R. K. (2017). Investor-centric strategies for Indian mutual fund industry: inferring from the behavior of individual investors. Decision, 44(3), 209-225.
- Sapar, N. R., & Madava, R. (2003). Performance evaluation of Indian mutual funds.
- Sehgal, S., & Babbar, S. (2017). Evaluating alternative performance benchmarks for Indian mutual fund industry. Journal of Advances in Management Research, 14(2), 222-250.
- Treynor, J. L. (1976). Long-Term Investing. Financial Analysts Journal, 32(3), 56-59.
- Trivedi, R., Swain, P. K., & Dash, M. (2017). A study of investor’s perception towards mutual fund decision: An Indian perspective. International Journal of Economic Research, 14(9), 209-219.
- Turan, M. S., Bodla, B. S., & Sh. Sushil Kumar Mehta (2001, July-December). Performance Evaluation of Listed Schemes of Mutual Funds. Management Researchers, 8(1&2), 38-66.
- Velavan, M., Sivasbramanian, J., Mohamed Jasim, K., & Vijay Anand, V. (2017). Multilayer perception modeling and performance measures: Mutual fund patterns with special reference to indian equity funds. International Journal of Economic Research, 14(4), 511-520.
- World Economic Forum (n.d.). The future of Long Term Investing.
- Yadav, A. P. (2015). The Indian mutual fund industry: From inception to advancement. Indian Journal of Finance, 9(5), 47-61.