Actuarial & Insurance
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Risk Premium (Variance Load)

Premium that adds a load proportional to risk variance.

Formula

P=E[X]+θ Var(X)P = E[X] + \theta\,\text{Var}(X)

Variables

PPremium
E[X]Expected loss
θRisk-aversion factor
Var(X)Variance of loss

Example

Riskier, more volatile lines carry a bigger variance load.

How it works

This pricing rule starts with the expected claim cost and then adds an extra amount that grows with the spread of possible losses. The variance term matters because two risks can have the same average loss but very different uncertainty; the one with more volatile outcomes is more dangerous to the insurer, so it deserves a higher premium. The parameter θ controls how strongly uncertainty is penalized, with larger values producing more conservative pricing.

When to use it

Use this formula when pricing insurance or risk-transfer contracts where both average loss and loss volatility are relevant, especially in simple actuarial models or risk-loading frameworks. It is most useful when you want a mathematically transparent premium that increases as claim variability increases.

Worked example, step by step

Suppose an insurer estimates the expected claim on a policy is E[X] = 800. The claim variance is Var(X) = 12,500. The insurer uses a variance loading factor of θ = 0.03. Step 1: Compute the loading term θ · Var(X) = 0.03 × 12,500 = 375 Step 2: Add the loading to the expected loss P = E[X] + θ·Var(X) P = 800 + 375 = 1,175 Final answer: The premium is P = 1,175.

Common mistakes to avoid

  • Using standard deviation instead of variance in the loading term
  • Forgetting that θ multiplies Var(X) before adding it to the expected loss
  • Treating θ as a fixed constant across all products without checking whether the model assumes different risk appetites

Did You Know?

Insurers charge extra for volatile risks because a rare huge claim threatens solvency more than steady losses.

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Reviewed & maintained by the FormulaWon editorial teamLast reviewed September 2026