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Marginal Contribution to Risk

How much total portfolio volatility changes when you add a little more of one position. It's the sensitivity that underpins risk budgeting and risk parity, and it equals an asset's own volatility times its correlation with the whole book.

Prerequisites: Covariance Matrix Estimation, Volatility

Suppose your portfolio's volatility is 11.5% and you're about to nudge a bit more capital into one holding. Does total risk go up a lot, a little, or — if the holding is a hedge — actually down? The marginal contribution to risk (MCR) answers exactly that. It's the rate at which total portfolio volatility changes as you add more of one position: the slope of portfolio risk with respect to that weight.

MCRi=σpwi=(Σw)iσp.\text{MCR}_i = \frac{\partial \sigma_p}{\partial w_i} = \frac{(\Sigma w)_i}{\sigma_p}.

σp=wΣw\sigma_p = \sqrt{w^\top \Sigma w} is the portfolio volatility, ww the weights, and Σ\Sigma the covariance matrix. The expression (Σw)i(\Sigma w)_i is the covariance between asset ii and the whole portfolio, and dividing by σp\sigma_p turns it into a marginal volatility impact. There's a much friendlier way to read the same quantity:

MCRi=ρi,pσi.\text{MCR}_i = \rho_{i,p}\,\sigma_i .

That is, an asset's marginal contribution to risk is its own volatility σi\sigma_i times its correlation ρi,p\rho_{i,p} with the total portfolio. This is the intuition worth keeping: what makes a position risky to your book isn't just how volatile it is on its own — it's how volatile it is and how much it moves with everything else you hold. A wild asset that zigs when your portfolio zags can have a small, even negative, marginal risk.

MCRi=(Σw)i/σp=ρi,pσi\text{MCR}_i = (\Sigma w)_i/\sigma_p = \rho_{i,p}\,\sigma_ian asset's own volatility times its correlation with the whole portfolio. Multiply it by the weight and you get the position's total risk contribution RCi=wiMCRi\text{RC}_i = w_i\,\text{MCR}_i; those contributions sum to total risk.

Worked example

Take a 60/40 book: equities (weight 0.6, vol 18%) and bonds (weight 0.4, vol 6%), correlation 0.2. The portfolio volatility works out to σp=11.5%\sigma_p = 11.5\% (the same computation as in Risk Budgeting). Now compute each asset's marginal and total contributions.

AssetWeightVolCorr. w/ portfolioMCR =ρi,pσi=\rho_{i,p}\sigma_iRC =wiMCRi=w_i\,\text{MCR}_i% of risk
Equities0.6018%0.9817.6%10.6%92%
Bonds0.406%0.402.4%0.95%8%
Total11.5%100%

Read the equity row. Its correlation with the whole portfolio is 0.98 — the book is mostly equities, so equities move almost in lockstep with it — and 0.98×18%=17.6%0.98 \times 18\% = 17.6\% is its marginal contribution. That means adding a small slug dw\mathrm{d}w of equities raises portfolio volatility by about 17.6%×dw17.6\% \times \mathrm{d}w. Bonds, only 40% correlated with the book, contribute a marginal 2.4%2.4\% despite being real, volatile assets. Multiply each MCR by its weight and the two risk contributions (10.6%10.6\% and 0.95%0.95\%) sum to exactly the total 11.5%11.5\% — the clean decomposition that makes Risk Budgeting and Risk Parity possible.

Where it misleads

  • It's a local slope, valid only for small moves. MCR is a first derivative computed at the current weights. Double a position and σp\sigma_p, the correlations, and hence the MCRs all shift — the number you started with no longer applies. Use it for marginal, incremental decisions, not wholesale reallocations.
  • It inherits every flaw of Σ\Sigma. Both forms lean entirely on the covariance matrix. A stale or noisy Σ\Sigma gives confidently wrong marginal risks (shrinkage helps — see Ledoit-Wolf Covariance Shrinkage).
  • Signs matter. A position that's negatively correlated with the book has a negative MCR — adding it lowers total risk. That's the mathematical fingerprint of a hedge, and it's easy to misread if you assume all contributions are positive.

The negative-MCR case is the useful one: a hedge, by definition, has ρi,p<0\rho_{i,p} < 0, so its marginal contribution to risk is negative and a little more of it reduces portfolio volatility. When you're hunting for a diversifier, you're really hunting for a low- or negative-MCR asset.

Never size a big trade off a single MCR number. It's the risk sensitivity at today's weights; as soon as the position grows meaningfully the covariances feeding it change, and the marginal risk you relied on is out of date. Re-compute after any large reallocation.

Related concepts

Practice in interviews

Further reading

  • Litterman (1996), Hot Spots and Hedges
  • Roncalli, Introduction to Risk Parity and Budgeting
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