← Back to VOLUME 3, ISSUE 1, JANUARY 2026
This work is licensed under a Creative Commons Attribution 4.0 International License.
The Efficiency of Shriram Mutual Funds: A Risk-Adjusted Return Perspective
MENDEM VARUN TEJ, UNDABATLA RAMBABU
π 3 viewsπ₯ 0 downloads
Abstract: This study looks at how Shriram Mutual Fund schemes performed on a risk-adjusted basis between 2020 and 2025, comparing them with their benchmark indices. Using annual returns, volatility, and Sharpe Ratios based on the 364-day T-bill rate, the analysis covers 16 plans across Aggressive Hybrid, Balanced Advantage, ELSS, and Flexi Cap categories. Overall, Direct plans delivered better results than Regular plans, with Flexi Cap and ELSS Direct schemes standing out. Hybrid fundsβespecially Aggressive Hybridβshowed weaker performance and did not compensate well for the risks taken. The findings underline that Direct equity-oriented plans tend to offer better efficiency and that metrics like the Sharpe Ratio are essential for evaluating mutual fund choices in India.
Keywords: Mutual Fund Performance, Risk-Adjusted Returns, Sharpe Ratio, Benchmark Comparison, Direct vs Regular Plans, Portfolio Optimization, Quantitative Analysis, Shriram Mutual Fund, Financial Metrics, Investment Decision- Making
Keywords: Mutual Fund Performance, Risk-Adjusted Returns, Sharpe Ratio, Benchmark Comparison, Direct vs Regular Plans, Portfolio Optimization, Quantitative Analysis, Shriram Mutual Fund, Financial Metrics, Investment Decision- Making
How to Cite:
[1] MENDEM VARUN TEJ, UNDABATLA RAMBABU, βThe Efficiency of Shriram Mutual Funds: A Risk-Adjusted Return Perspective,β International Multidisciplinary Research Journal Reviews (IMRJR) (IMRJR), DOI: 10.17148/IMRJR.2026.030101
Call for Papers
π A Multidisciplinary Journal
Submit on or before: 31.07.2026
- SubmissionOn or before deadline
- Notificationwithin 7 days
- Publicationwithin 1 day
- FrequencyMonthly (12 issues/year)
Downloads
Paper FormatΒ©οΈ Copyright Form
Submit to editor@imrjr.com
Submit My PaperAuthor Center
IMRJR Standards
π
Article of the Year
Award
The Future of Automotive Manufacturing: Integrating AI, ML, and Generative AI for Next-Gen Automatic Cars
Chandrakanth Rao Madhavaram, Janardhana Rao Sunkara, Chandrababu Kuraku, Eswar Prasad Galla, Hemanth Kumar Gollangi
Read Article βπ₯Most Downloaded
- 1.
- 2.
- 3.doi logoπ₯ 5 downloads
- 4.
- 5.







