International Journal of Applied Mathematics and Computing.
Vol. 2 No. 1 (2025): International Journal of Applied Mathematics and Computing

Mutual Fund Performance Analysis Using Information Ratio, STJ Ratio and Value at Risk

Ni Putu Leony Putri Paramita (Unknown)
Komang Dharmawan (Unknown)
I Gusti Ngurah Lanang Wijaya Kusuma (Unknown)



Article Info

Publish Date
13 Nov 2024

Abstract

Measuring performance solely by relying on returns is probably not enough, it is important to consider both returns and risks. Some measurement methods that consider both of these factors are the Sharpe Ratio index, Treynor Ratio, Jensen Alpha, and Information Ratio. Risk analysis using Value at Risk Monte Carlo simulation is also important to determine the potential for extreme risks. The purpose of this study is to provide a good understanding of the performance and risk of mutual fund investments. Based on the performance results, Schroder is the most superior mutual fund, with the highest Information Ratio, Sharpe Ratio, and Jensen Ratio, indicating that they are able to generate good returns considering the risks taken. However, Schroder also has the highest VaR, meaning it has the potential for large losses in the worst market conditions. On the other hand, MNC is at the bottom in almost all performance methods, indicating poor performance with low returns and lower risks.

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Journal Info

Abbrev

IJAMC

Publisher

Subject

Computer Science & IT Mathematics

Description

This Journal accepts manuscripts based on empirical research, both quantitative and qualitative. This journal is a peer-reviewed and open access journal of Mathematics and ...