Plain-English definitions, reviewed by an independent investor
Variance
Variance is the average of squared deviations from the mean — the squared cousin of standard deviation.
Variance is the average of squared deviations from the mean — the squared cousin of standard deviation.
A quick example
What it means for you
It is the raw risk measure that standard deviation tames by square-rooting.
Picture this
Two portfolios have the same expected return. Portfolio A holds five nearly identical tech stocks; portfolio B holds stocks, bonds, and cash. Portfolio A’s variance is far higher because its components move together, and squaring the swings makes the joint risk even clearer. The maths of variance is exactly why diversification works: spreading across low-covariance assets shrinks the squared deviations, and the portfolio becomes smoother than any of its parts. The number nobody quotes, variance, is quietly doing the work.
Common mix-ups
Its squared units make it awkward to quote, so SD is preferred in practice.
How to apply it
You rarely need to calculate variance yourself; funds report standard deviation, which is variance’s readable form. Understand the link — SD is the square root of variance — so the risk numbers on a factsheet are not mysterious.
Key takeaway
Variance is the squared cousin of standard deviation, the raw risk measure nobody quotes because its units are unreadable — and the mathematical engine behind diversification. Squaring deviations makes ups and downs both count, and combining assets with low covariance shrinks portfolio variance without cutting expected return. You rarely need to calculate it; funds report standard deviation, its square root. Understand the link and the idea: portfolio risk is about how the parts move together, not how they move alone.
Common Questions, Answered
Variance vs SD?
SD is the square root of variance, in the same units as returns.
Why square deviations?
So ups and downs both add up instead of cancelling.
Where is variance used?
Portfolio optimisation and risk models that need exact inputs.
Can variance be negative?
No, squares are always non-negative; zero means no variation.