Variance of Returns

Risk & Portfolio
Updated Apr 2026 Has calculator

The average squared deviation of returns from their mean — the square of standard deviation.

What is Variance?

Variance measures the statistical dispersion of a return series by squaring each deviation from the mean and averaging them. Because deviations are squared, large outlier returns (both positive and negative) are penalised disproportionately, making variance highly sensitive to extreme observations. In portfolio theory, variance plays a central role in mean-variance optimization: a portfolio's total variance depends on the individual asset variances and their pairwise covariances. Variance is mathematically convenient because it is additive when assets are uncorrelated, but its squared units (percent squared) make it harder to interpret intuitively than standard deviation. The calculator uses the sample formula (N−1 denominator).

Formula

σ² = Σ(Rᵢ − R̄)² / (N − 1)

Worked Example

Worked example — Hypothetical Portfolio

5 Annual Returns

Step 1  Returns (%): 10, 12, 8, 15, 5
Step 2  Mean: (10+12+8+15+5) / 5 = 10.00%
Step 3  Squared deviations: 0, 4, 4, 25, 25 → sum = 58
Step 4  Variance = 58 / (5−1) = 14.50%²
Step 5  → Standard deviation = √14.50 = 3.81% (take square root to get σ)

Source: CFA Institute — Portfolio Management, 7th ed. (2023-01-01)

Calculate Variance

Enter comma-separated returns, e.g.: 12, -4, 8, 15, -2, 6

Variance

Not investment advice.

How to Interpret Variance

< 25
Low Variance — σ < 5%; stable return series
25 – 144
Moderate Variance — σ 5–12%; typical equity range
144 – 400
High Variance — σ 12–20%; elevated volatility
> 400
Very High Variance — σ > 20%; high-risk asset

📚 Risk Metrics — Complete the path

  1. Standard Deviation
  2. Variance
  3. Beta
  4. R-Squared
  5. Correlation