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.
is the portfolio volatility, the weights, and the covariance matrix. The expression is the covariance between asset and the whole portfolio, and dividing by turns it into a marginal volatility impact. There's a much friendlier way to read the same quantity:
That is, an asset's marginal contribution to risk is its own volatility times its correlation 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.
— an 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 ; 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 (the same computation as in Risk Budgeting). Now compute each asset's marginal and total contributions.
| Asset | Weight | Vol | Corr. w/ portfolio | MCR | RC | % of risk |
|---|---|---|---|---|---|---|
| Equities | 0.60 | 18% | 0.98 | 17.6% | 10.6% | 92% |
| Bonds | 0.40 | 6% | 0.40 | 2.4% | 0.95% | 8% |
| Total | 11.5% | 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 is its marginal contribution. That means adding a small slug of equities raises portfolio volatility by about . Bonds, only 40% correlated with the book, contribute a marginal despite being real, volatile assets. Multiply each MCR by its weight and the two risk contributions ( and ) sum to exactly the total — 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 , 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 . Both forms lean entirely on the covariance matrix. A stale or noisy 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 , 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.
Practice in interviews
Further reading
- Litterman (1996), Hot Spots and Hedges
- Roncalli, Introduction to Risk Parity and Budgeting