Mutual fund investors often focus on returns, but understanding risk is equally important. That’s where Standard Deviation (SD) comes in. It is one of the most widely used measures of risk in Mutual Funds, helping you identify how much a fund’s returns fluctuate compared to its average.
In this guide, we’ll explain standard deviation in mutual funds with simple examples, India-specific insights, latest market data, and comparisons with other risk measures.
Standard deviation is a statistical measure of Volatility. In mutual funds, it shows how much the fund’s returns deviate from its average returns.
High Standard Deviation → Fund returns fluctuate widely → Higher risk.
Low Standard Deviation → Returns stay close to the average → Lower risk.
Example:
Even though both funds give 12% on average, Fund B is more stable (less risky) compared to Fund A.
Where,
Simplified: Standard deviation measures how far each return is from the average return.
To find standard deviation on a mutual fund, add up the rates of return for the period you want to measure and divide by the total number of rate data points to find the average return. Further, take each individual data point and subtract your average to find the difference between reality and the average. Square each of these numbers and then add them up.
Divide the resulting sum by the total number of data points less one -- if you have 12 data points, you divide by 11. The standard deviation is the square root of that number.
Let's understand better with illustration-
Let's find the SD of two different Mutual Funds. First, we will calculate their average return for the last five years.
Mutual Fund A: (11.53% + 0.75% + 12.75% + 32.67% + 15.77%)/5 = 14.69%
Mutual Fund B: (4.13% + 3.86% + {-0.32%} + 11.27% + 21.63%)/5= 9.71%
Since Standard Deviation is the square root of variance, we must first find the variance of each investment.
Then, you divide the sum of the squares from the first step by the 1 less the number of years (∑/n-1).
Mutual Fund A: (11.53%-14.69%)² + (0.75%-14.69%)² + (12.75%-14.69%)² + (32.67%-14.69%)² + (15.77%-14.69%)²= 0.052/4=.013
Mutual Fund B: (4.13%-9.71%)² + (3.85%-9.71%)² + (-0.32%-9.71%)² + (11.27%-9.71%)² + (21.63%-9.71%)²= 0.032/4=.008
Mutual Fund A: √.013= 11.4%
Mutual Fund B: √.008= 8.94%
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Excel offers the following functions:
STDEV.P to calculate standard deviation based on the entire population
STDEV.S to estimate standard deviation based on the sample
Using the functions one can determine the SD of the fund.
Mutual Fund Name | Standard Deviation |
---|---|
Aditya Birla Sun Life Focused Equity Fund | 13.63 |
JM Core 11 Fund | 21.69 |
Axis Bluechip Fund | 13.35 |
Invesco India Largecap Fund | 13.44 |
Invesco India Largecap Fund | 13.44 |
Metric | What it Measures | Key Difference |
---|---|---|
Standard Deviation | Volatility of returns | General measure of risk |
Beta | Sensitivity to market (Nifty/Sensex) | Shows systematic risk |
Sharpe Ratio | Return per unit of risk | Higher = better risk-adjusted returns |
Alpha | Excess return vs benchmark | Shows fund manager’s skill |
Pro tip: Don’t rely on just SD. Always check Beta, Sharpe Ratio, and Alpha for a complete risk analysis.
SIP Investors: Standard deviation matters less because rupee cost averaging smooths volatility.
Lump Sum Investors: Standard deviation plays a bigger role because money is exposed to market fluctuations at once.
HDFC small cap Fund (SD ~ 23) – High volatility, but 5-year CAGR of ~22%.
ICICI Prudential Bluechip Fund (SD ~ 14) – More stable, with 5-year CAGR of ~13%.
Both are good funds, but choice depends on risk appetite.
A: A good SD depends on fund type. For Equity Funds, 12–18 is normal, while for debt funds, below 6 is considered safe.
A: Yes, some consistent Large cap funds or hybrid funds can achieve this.
A: Not much. For short-term, focus on liquidity and safety (Liquid Funds).
A: Usually monthly or yearly, based on historical returns.