Mutual Fund Ratios: What are Mutual Fund Ratios & Types of Mutual Fund Ratios
Investing in mutual funds has become increasingly popular among individuals looking to grow their wealth in India's dynamic financial landscape. The Assets Under Management (AUM) of the Indian mutual fund industry stood at around Rs.
₹ 46.37 lakh crore as on July 31, 2023. With an array of options available and the enticing prospect of returns, it's no wonder that many are drawn to the world of mutual fund investments. However, before diving headfirst into this field, it is essential to tread carefully and conduct thorough research, including ratio analysis.
MF Ratios also offer a window into a mutual fund's financial health, thereby allowing you to gauge its performance relative to its peers. Let’s dive deeper.
What are Mutual Fund Ratios?
Ratios in mutual funds are financial metrics that provide valuable insights into various aspects of a fund's performance, risk, and overall financial health. They are derived from analysing different financial data and are used by investors to assess the fund's performance and compare it with its peers before making informed investment decisions.
It is important to note that mutual fund ratios need not be considered in isolation. They are usually used in conjunction with other qualitative/quantitative factors, such as fund strategy, fund manager expertise, market conditions, and individual investor preferences.
Different Types of Mutual Fund Ratios
Expense ratio
This MF ratioreflects the percentage of a mutual fund's assets that are used to cover its operating expenses. It includes management fees, administrative costs, custodial fees, and distribution charges. A lower expense ratio indicates a more cost-effective fund, implying that a smaller portion of investors' assets is being used to cover expenses.
Here’s the formula to calculate the expense ratio:
Expense Ratio = Total Expenses / Average value of the portfolio
Standard deviation
Standard deviation is a risk ratio that measures the extent to which a mutual fund's returns deviate from its average return. It indicates the fund's volatility amidst different market conditions. A higher standard deviation suggests greater price fluctuations and the potential for larger losses. Conversely, a lower standard deviation indicates lower volatility.
Sharpe ratio
Sharpe ratio is one of the most important mutual fund ratios that assesses the risk-adjusted performance of the funds. It considers both the fund's returns and the level of risk taken to achieve those returns. Here’s the formula to calculate the Sharpe ratio:
Sharpe ratio = (Historic return of the fund - Risk-free return) / Standard deviation of the returns
A higher Sharpe ratio indicates better risk-adjusted performance, implying that the fund generated higher returns relative to the level of risk undertaken.
Treynor ratio
This is another risk-adjusted return ratio that evaluates the excess returns generated by a mutual fund relative to its systematic risk, as measured by beta. It indicates how efficiently the fund has utilised its systematic risk to generate returns. Here’s the formula to calculate the Treynor ratio:
Treynor ratio = (Portfolio risk - Risk-free rate) / Portfolio’s beta
Here, beta measures the fund's sensitivity to market movements. A beta higher than 1 indicates higher volatility compared to the market, while a beta lower than 1 suggests lower volatility.
Information ratio
The information ratio assesses a mutual fund's ability to generate excess returns above a benchmark, considering the level of risk involved. It measures the fund manager's skill in actively managing the portfolio and making investment decisions that can outperform the benchmark. A higher information ratio suggests better performance in generating excess returns.
Here’s the formula to calculate the Information ratio:
Information ratio = (Return from portfolio-Benchmark return) / Tracking Error
Alpha
Alpha is a mutual fund ratio that measures the performance of a fund relative to its benchmark. It provides insight into a fund manager's ability to generate excess returns beyond what would be expected based on market movements. If the alpha is positive, it means that the fund has outperformed its benchmark. On the other hand, a negative alpha can suggest underperformance.
Alpha = (Fund return – Risk-free rate) /[(Benchmark return – Risk-free rate)xBeta]
Beta
Beta is a mutual fund ratio that measures the sensitivity of the fund's returns to changes in the overall market. Here’s the formula to calculate the beta:
Beta = (Fund return – Risk-free rate) /(Benchmark return – Risk-free rate)
If a fund has a beta of less than 1 but consistently outperforms its benchmark, it may indicate that the fund has been able to generate higher returns while taking on less risk.
Sortino ratio
The Sortino ratio measures the risk-adjusted performance of an investment by focusing on downside risk. It gives investors a more nuanced view of a fund's volatility compared to traditional metrics like the Sharpe ratio.
Sortino Ratio= (Expected returns- Risk-free return)/ Standard Deviation (downside)
How Often Should You Analyse Mutual Fund Performance?
When it is about analysing mutual fund performance, it's important to strike a balance between being proactive and avoiding unnecessary obsession.
First off, you don't need to check the fund performance daily. Markets can be volatile, and short-term fluctuations are pretty normal. On the other hand, you need not be completely hands-off either.
For long-term investors with a "set it and forget it" approach, a yearly or semi-annual review would suffice. This allows you to track the fund's progress over a reasonable timeframe. However, if you're a more active investor, you might want to check in more frequently, like quarterly or monthly.
Additional Read: What is PEG Ratio?