Mutual Fund Ratios

Mutual fund ratios are mathematical tools that help investors assess the performance, risk, and cost efficiency of mutual funds. These ratios include the Expense Ratio, Sharpe Ratio, Beta, Standard Deviation (SD), Alpha, and the Information Ratio.
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3 min
09-July-2025

When you’re investing in mutual funds, it’s not just about picking the one with the highest returns. Mutual funds can vary widely in terms of risk, performance, and consistency. These differences are influenced by several factors like the type of fund, how the market is doing, and the skill of the fund manager. That’s where mutual fund ratios come in handy.

Mutual fund ratios act like report cards for funds. They help you assess performance, volatility, and how well a fund stacks up against others or its benchmark. In this article, we’ll break down what mutual fund ratios are, why they matter, and which ones you should know to make smarter investment decisions. Analysing mutual fund ratios gives you deeper insight into a scheme’s stability, risk, and ability to deliver across market cycles beyond just short-term gains. Explore Mutual Fund Analytics

What are mutual fund ratios?

Mutual fund ratios are simple formulas that give you insights into how a mutual fund behaves. These tools are especially useful when you're trying to compare funds or understand if a scheme matches your risk appetite. Some ratios tell you how much risk a fund carries. Others tell you how stable or volatile the returns are. And some show you if the fund manager is beating the market — or not.

In short, mutual fund ratios give you a clearer picture of what to expect from a fund, whether you're a cautious investor or more comfortable with risk. They help cut through the noise so you can focus on facts and performance data before making a decision. By understanding these ratios, you’re not just following returns—you’re choosing funds based on risk balance, market performance, and your own comfort zone. Compare Mutual Fund Options Now!

Important mutual fund ratios

To really understand how a mutual fund is performing, it’s helpful to look at a combination of these key ratios. Each one tells you something different about the fund's behaviour, from risk levels to returns.

Alpha

Alpha is one of the most talked-about mutual fund ratios — and for good reason. It tells you whether a fund has done better or worse than its benchmark index. Think of it like a performance scorecard. If the alpha is zero, it means the fund performed exactly like its benchmark. A positive alpha means the fund beat the benchmark, while a negative alpha means it fell short.

For example, if a fund returned 12% in a year and its benchmark returned 16%, the fund’s alpha would be –4. That means the fund underperformed by 4%. Want a more refined take? You can use Jensen’s alpha, which adjusts for risk by considering the fund’s beta as well.

Here’s how it’s calculated:

Jensen’s alpha = Fund return – Risk-free rate – Beta × (Market return – Risk-free rate)

This extra layer of calculation helps investors better understand if the fund's performance is truly exceptional or just riding market trends.

Standard deviation (SD)

Standard deviation tells you how much a fund’s returns tend to swing — in simpler words, how volatile it is. If a mutual fund has a high standard deviation, its returns are all over the place. A low SD means the fund’s returns are relatively stable and close to the average.

This ratio is useful if you’re someone who prefers predictable outcomes. If you don’t want sudden ups and downs in your investments, you might want to stick with funds that have lower standard deviations. It’s also a key component in calculating other ratios like the Sharpe ratio.

In essence, SD gives you a sense of how “bumpy” the ride might be with a particular fund.

Beta

Beta is all about how a fund reacts to market movements. It measures a mutual fund’s systematic risk, which means the kind of risk that affects the entire market (like a recession or a boom). A beta of 1 means the fund’s performance tends to mimic the market. A beta above 1 means it’s more volatile than the market, while a beta below 1 means it’s more stable.

Here’s the formula to calculate it:

Beta = (Covariance of the fund’s returns with market returns) ÷ Variance of market returns

Beta helps investors understand whether a fund will swing more or less than the broader market during ups and downs. If you’re conservative, a beta lower than 1 might suit you better. If you’re willing to take more risk for higher returns, a higher beta could work.

Treynor ratio

The Treynor ratio helps you answer a simple question: “Am I being rewarded enough for the risk I’m taking?” This ratio measures the excess return generated by a mutual fund for every unit of market risk (beta) you take on by investing in it.

Here’s the formula:

Treynor Ratio = (Fund returns – Risk-free rate) ÷ Fund’s beta

Let’s say two funds have delivered the same return, but one has a higher beta (more market risk). The fund with the higher Treynor ratio is giving you better risk-adjusted returns, which makes it more efficient from an investor’s perspective. If you’re comparing funds with similar returns but different betas, this ratio becomes your go-to tool.

Sharpe ratio

The Sharpe ratio is like the cousin of the Treynor ratio — but instead of focusing on market risk (beta), it considers total risk, measured by the fund’s standard deviation. This makes the Sharpe ratio especially helpful when evaluating funds with higher volatility.

Here’s how it’s calculated:

Sharpe Ratio = (Fund returns – Risk-free rate) ÷ Fund’s standard deviation

A higher Sharpe ratio indicates that the mutual fund is delivering strong returns relative to the amount of overall risk involved. It’s an excellent way to identify funds that are not only profitable but also stable. If you’re looking to filter out “wild card” funds, this ratio will help you stay grounded.

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Why are mutual fund ratios important?

Mutual fund ratios aren’t just numbers on a fact sheet — they tell a story about a fund’s performance, volatility, and consistency. They help you dig deeper than just looking at past returns. Whether you’re trying to understand how risky a fund is, how stable its returns are, or how well it compares to its peers or benchmarks, these ratios give you data-backed clarity.

More importantly, they help you align your investment choices with your financial goals and risk tolerance. For example, if you’re looking for a stable income-generating fund, you’ll probably look for one with a high Sharpe ratio and low standard deviation. On the other hand, if you want growth and are okay with risk, a fund with a strong alpha might catch your eye.



Conclusion

At first glance, mutual fund ratios might seem technical or intimidating. But once you understand them, they become powerful tools to evaluate funds clearly and objectively. Each ratio gives you a different perspective — from how much risk you're taking to how well a fund is performing compared to others.

Whether you're new to mutual funds or refining your portfolio, using these ratios together offers a more complete picture. Instead of relying solely on returns, you get insights into consistency, volatility, and risk-adjusted performance. This way, you can select mutual fund schemes that truly match your financial goals and comfort with risk.

So next time you're comparing two similar-looking funds, don’t just look at the past returns — take a deeper look at their alpha, beta, Sharpe ratio, and more. These numbers could be the difference between a smart choice and a risky one.


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Frequently asked questions

What is the best ratio for evaluating mutual funds?
There are different mutual fund ratios available to evaluate fund performance. The answer to what is best depends on what you want to assess and analyse. Ideally, you should use a combination of mutual fund ratios to get a comprehensive overview.
What is the 15-15-30 rule for mutual funds?
The 15-15-30 rule in mutual fund investing says that if you invest Rs. 15,000 each month through a SIP at 15% CAGR for 30 years, you can build a corpus of Rs. 10 crores.
What is the meaning of alpha and beta in mutual funds?
The alpha is a mutual fund ratio that measures the performance of a fund against its benchmark. The beta is a measure of the risk or volatility of a mutual fund relative to the risk in the market as a whole.
What is the meaning of the Sharpe ratio in mutual funds?
The Sharpe ratio is a mutual fund ratio that evaluates the excess returns you earn from a fund for every unit of volatility in the fund. It compares the excess returns with the fund’s standard deviation.
How does the alpha ratio help investors?

The alpha ratio shows a fund’s performance compared to its benchmark. A positive alpha indicates outperformance, while a negative alpha shows underperformance. It reflects the fund manager’s effectiveness and helps investors gauge if the fund is adding value over its benchmark.

What does the beta ratio indicate in mutual fund analysis?

The beta ratio measures a fund’s volatility relative to the market. A beta above 1 signals higher volatility than the market, while a beta below 1 shows lower volatility. It helps investors understand a fund’s sensitivity to market movements, aiding in risk assessment.

How is the Sharpe ratio used in mutual fund selection?

The Sharpe ratio evaluates risk-adjusted returns, measuring how much return a fund generates per unit of risk. A higher Sharpe ratio is preferable, indicating better risk-adjusted performance. Investors use this ratio to assess whether a fund’s returns justify the risks involved.

What role does the expense ratio play in choosing a mutual fund?

The expense ratio represents the annual fee charged by an AMC to manage a fund, affecting the net returns. Lower expense ratios are generally favorable as they allow more of the fund’s earnings to reach the investor, impacting long-term gains, especially in passive funds.

How does standard deviation measure a mutual fund’s risk?

Standard deviation indicates the variability of a fund’s returns from its average return, highlighting volatility. Higher standard deviations suggest greater fluctuations, while lower values indicate stability. Investors use this to assess the consistency of a fund’s performance over time.

What does the information ratio reveal about a mutual fund?

The information ratio assesses a fund manager's skill by comparing excess returns relative to the benchmark and the risk taken. A higher information ratio indicates consistent outperformance, helping investors evaluate a manager’s ability to achieve superior risk-adjusted returns.

How does the Sortino ratio differ from the Sharpe ratio?

The Sortino ratio focuses on downside risk by considering only negative deviations, while the Sharpe ratio considers all volatility. A higher Sortino ratio is favorable, indicating strong returns with limited downside risk. This is useful for risk-averse investors seeking stable growth.

What is R-squared, and how does it help investors?

R-squared measures how closely a fund’s performance aligns with its benchmark, expressed as a percentage. Higher values indicate greater correlation, useful for evaluating index funds. Low R-squared values suggest less correlation, ideal for active funds targeting unique returns.

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Disclaimer

Bajaj Finance Limited (“BFL”) is an NBFC offering loans, deposits and third-party wealth management products.

The information contained in this article is for general informational purposes only and does not constitute any financial advice. The content herein has been prepared by BFL on the basis of publicly available information, internal sources and other third-party sources believed to be reliable. However, BFL cannot guarantee the accuracy of such information, assure its completeness, or warrant such information will not be changed. 

This information should not be relied upon as the sole basis for any investment decisions. Hence, User is advised to independently exercise diligence by verifying complete information, including by consulting independent financial experts, if any, and the investor shall be the sole owner of the decision taken, if any, about suitability of the same.