EFFICIENCY OF MUTUAL FUND SCHEMES DURING COVID-19: EMPIRICAL ANALYSIS IN INDIAN CONTEXT USING DEA APPROACH
Keywords:
Mutual Funds, DEA, COVID-19, Net Asset Value, Sharpe RatioAbstract
The disruptions created by COVID-19 has lasting implications on the countries across the world. Apart from impacting key sectors of the economy, COVID has significantly affected the financial sector causing volatility and changes in asset valuation. There is no doubt that mutual funds still remain the popular mode of investment during COVID-19 followed by equities. However, shrinking fees, reducing profit margins and ever-changing investors preferences along with the pandemic imposed new set of challenges for the fund managers. Using data envelopment analysis, this paper examines the efficiency of open- ended equity funds and select debt schemes during COVID-19. The analysis reveals that during COVID, equity schemes pertaining to large and multi-cap segment were efficient. But the efficiency of mid and small cap equity schemes was affected due to the high expenses’ ratio and volatility. Interestingly, all open-ended debt schemes were efficient during COVID with mean efficiency score more than equity schemes. As no single fund house is found to be efficient in all the segments, the investor can pick efficient schemes to construct optimum portfolio of mutual funds.
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References
Alam, Mahfooz. (2019). Mutual Fund Performance: Evidence from India. International Journal of Recent Technology and Engineering (IJRTE). Vol. 08, pp 2277-3878.
Basso, Antonella & Funari, Stefania, 2001. "A data envelopment analysis approach to measure the mutual fund performance," European Journal of Operational Research, Elsevier, vol. 135(3), pages 477-492
Banker, R.D, Charnes, A. and Cooper, W.W. (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30(9),
Bangash, R., A. Hussain & M. H. Azhar (2018). Performance Evaluation of Mutual Funds: A Data Envelopment Analysis. Global Social Sciences Review, 3(2), 212-236.
Bhagyasree, N., & Kishori, B. (2016). A Study on Performance Evaluation of Mutual Funds Schemes in India, Economics
Choi, Y.K. and Murthi, B.P.S. (2003), Relative Performance Evaluation of Mutual Funds: A Non- Parametric Approach, Journal of Business Finance & Accounting, 28(7-8).
Daraio, Cinzia & Simar, Léopold. (2006). A Robust Nonparametric Approach to Evaluate and Explain the Performance of Mutual Funds. European Journal of Operational Research. 175. 516-542.
Demirguc-Kunt, Asli; Pedraza, Alvaro; Ruiz-Ortega, Claudia. 2020. Banking Sector Performance During the COVID-19 Crisis. Policy Research Working Paper;No. 9363. World Bank, Washington, DC.
Financial Stabilty Report (2021), Lessons Learnt from the COVID-19 Pandemic from a Financial Stability Perspective. Final report.
Galagedera, Don. (2003). Investment performance appraisal methods with special reference to data envelopment analysis. Sri Lanka Journal of Management. 8. 48-70.
Gao J, O’Sullivan N, Sherman M (2020), An evaluation of Chinese securities investment fund performance. Quarterly Review of Economics and Finance. 2020;76:249–259.
Guo, J., Ma, C. and Zhao, Z. (2012), Performance Evaluation of Investment Funds with DEA and Higher Moments Characteristics: Financial Engineering Perspective, Systems Engineering Procedia 3, 209 – 216
Henry, P. (2020), COVID-19 and the investment management industry: Investment management operating at the speed of the markets, Deloitte Insights Report.
Hollingsworth, Bruce & PC, Smith. (2003). Use of ratios in data envelopment analysis. Applied Economics Letters. 10. 733-735. 10.1080/1350485032000133381.
Kozak (2021), The Impact of COVID-19 on Bank Equity and Performance: The Case of Central Eastern South European Countries, Sustainability 2021, 13(19), 11036. Available at https:// doi.org/10.3390/su131911036
Morey, M.R. and Morey, R.C. (1999). Mutual fund performance appraisals: a multi-horizon perspective with endogenous benchmarking, Omega, 27, 241-258.
Muhammad Sali Maheen, 2021. "Impact of COVID-19 on the performance of emerging market mutual funds: evidence from India," Future Business Journal, Springer, vol. 7(1), pages 1-8
Pangestuti, I., Wahyudi, S. and Robiyanto, R. (2017), Performance Evaluation of Equity Mutual Funds in Indonesia, Jurnal Keuangan dan Perbankan, 21(4): 527–542
Pastor, Lubos and Vorsatz (2020), Blair, Mutual Fund Performance and Flows During the COVID-19 Crisis (August 13, 2020). Chicago Booth Research Paper No. 20-18, Fama-Miller Working Paper, Available at SSRN: https://ssrn.com/abstract=3648302 or http://dx.doi.org/10.2139/ssrn.3648302
Prasanna, P.K. (2012). Performance of Exchange-Traded Funds in India. International Journal of Biometrics, 7, 122.
Sathish P.and Srinivasan KS (2016), Performance evaluation of selected open ended mutual fund schemes in India: An empirical study, Sona Global Management Review, Vol 10(3), 92-105
Sedzro, K and Sardano, D. (1999). Mutual fund performance evaluation using data envelopment analysis, Working Paper, School of Business, University of Quebec at Montreal, Canada.
Sengupta, Jati & Zohar, T. (2001). Nonparametric Analysis of Portfolio Efficiency, Applied Economics Letters. 8. 249-52.
Sharma G. and Sharma V.(2018), Performance evaluation of equity mutual funds using data envelopment analysis, International Journal of Financial Services Management, 9(1), 1-13
Tripathi, S. and Japee, G. P. (2020), Performance Evaluation of Selected Equity Mutual Funds in India (March 28, 2020). GAP GYAN - A GLOBAL JOURNAL OF SOCIAL SCIENCES, 2020, Available at
SSRN: https://ssrn.com/abstract=3638852
Sedzro, K and Sardano, D. (1999). Mutual fund performance evaluation using data envelopment analysis, Working Paper, School of Business, University of Quebec at Montreal, Canada.
Tsolas, I.E. (2020), Precious Metal mutual fund performance evaluation: A series Two-stage DEA Modelling Approach, Journal of Risk and Financial Management, 13(87).
Weltman J (2020) ECR risk experts contemplate another financial crisis_Euromoney. www.Euromoney.com. https://www.euromoney.com/article/b1ktp0wqc12jyb/ecr-risk-experts- contemplate-another-financial-crisis
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