ฯƒ

Standard Deviation

How bumpy is the ride in this fund?

What is it?

Standard Deviation (SD) measures how much a fund's returns fluctuate around its average. A fund that returns exactly 12% every year has an SD of zero. A fund that returns 5% one year and 20% the next has a high SD.

Think of it as bumpiness. A fund with high SD gives you a wild ride โ€” great years followed by terrible ones. A fund with low SD gives a smoother journey, even if the total return might be similar.

Lower is generally better for conservative investors. Medium-to-high SD is acceptable in categories like small-cap or sector funds where volatility is expected โ€” just make sure the returns justify the roughness.

Formula

ฯƒ = โˆš[ ฮฃ(Ri โˆ’ Rฬ„)ยฒ รท n ]
RiReturn in period i
Rฬ„Average return over all periods
nNumber of periods

Real Example

Two funds both averaging 13% annual returns.

Given

Fund A standard deviation8%
Fund B standard deviation18%

Calculation

Fund A returns likely range: ~5% to ~21% in a typical year
Fund B returns likely range: ~โˆ’5% to ~31% in a typical year

What this means

Both average 13%, but Fund A gets there with far less turbulence. A conservative investor would strongly prefer Fund A. An aggressive investor might accept Fund B for the chance of higher peaks.

Good vs Bad Benchmarks

โœ“Low volatility

Below 10%

Very smooth ride โ€” suitable for conservative investors

โœ“Moderate

10% โ€“ 15%

Normal for large-cap equity funds โ€” acceptable volatility

~High

15% โ€“ 20%

Typical for mid-cap or aggressive hybrid funds

โœ—Very high

Above 20%

Significant volatility โ€” typical for small-cap or thematic funds; not for the faint-hearted

These ranges are for equity funds. Debt funds typically have a much lower standard deviation (under 2%).

Check this ratio for a real fund

MFLens shows Standard Deviation across 1Y / 3Y / 5Y / 7Y / 10Y rolling windows for every Indian mutual fund.

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Rolling metrics on MFLens show how each ratio evolves across all historical windows of the selected period. This provides consistency insights beyond traditional trailing calculations. For informational purposes only โ€” not financial advice.