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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM33338

Prediction of Mutual Funds

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM33338

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM33338

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

IAM

Irfan Ahmad Mir

SS

Sumit Soni

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Abstract

A pillar of the Indian financial system, mutual funds have become a viable option for investors looking to expand and secure their holdings. This research carefully examines the performance of ten carefully chosen large-cap mutual funds in India using strong statistical techniques to provide a comprehensive knowledge of their effectiveness. By use of secondary data analysis that includes measures like beta, Jensen, Sharpe, Treynor, standard deviation, and average return, this study aims to give investors important information that they need to make well-informed decisions. This study’s main goal is to conduct a thorough performance evaluation of these large-cap mutual funds. This study attempts to provide light on the complex dynamics of these funds through the use of a wide variety of statistical tools, enabling a more thorough understanding of their risk-return profiles and overall efficacy. Both experienced and inexperienced investors will find great value in the thorough analysis provided here, as it will provide them the tools they need to handle the intricacies of the financial market with caution and confidence.

KEYWORDS

Mutual Funds Investments Performance Assessment return on investment portfolio management short-term investment long term investment

Cite This Article

Irfan Ahmad Mir, Sumit Soni, "Prediction of Mutual Funds," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM33338

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12/31/45416

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