Risk Budgeting
Allocating a portfolio by how much risk each position contributes, not how much capital it holds. You set a risk budget — targets for each piece's share of total risk — then size positions to hit them.
Prerequisites: Covariance Matrix Estimation, Volatility
Capital weights lie about risk. A classic 60/40 stock-bond portfolio looks balanced — 60% of your money in stocks, 40% in bonds — but because stocks are three or four times as volatile as bonds, something like 90% of the portfolio's actual risk comes from the equity sleeve. Risk budgeting is the discipline of allocating by that second number instead of the first. You decide up front how much of your total risk each position or strategy is allowed to contribute, then choose weights to hit those targets.
The machinery comes from splitting total portfolio volatility into per-asset pieces that add up exactly. Portfolio volatility is , where is the vector of weights and is the covariance matrix. It decomposes cleanly (this is Euler's theorem) into risk contributions:
is the amount of total volatility that position is responsible for. The term is its marginal contribution to risk — how much total vol rises if you add a bit more of — and multiplying by the weight gives its full share. The beautiful part: these shares sum to exactly the total risk, so "position 's percent of risk budget" is just , and they add to 100%.
A risk budget assigns each position a target share of total risk. The tool is the risk contribution , and these contributions sum exactly to total portfolio risk — so you can carve up risk the way you'd carve up a pie. Risk parity is the special case where every slice is equal.
Worked example
Take a 60/40 portfolio: equities at weight with volatility 18%, bonds at with volatility 6%, correlation .
- Portfolio variance: , so .
- Equity's risk contribution: its row of is , so . As a share of total: .
- Bond's risk contribution: its row is , so , a share of .
So a portfolio that is 60/40 by capital is 92/8 by risk. If your risk budget instead calls for a 50/50 split of risk, you'd have to slash the equity weight dramatically and lever the bond sleeve up — which is precisely the recipe Risk Parity follows, then scales the whole thing to a target volatility (Vol Targeting).
Where it misleads
- The budget is only as stable as the covariance matrix. Risk contributions depend entirely on . When correlations regime-shift — bonds stop hedging stocks, say — yesterday's carefully set budget is silently wrong today (Regime Detection).
- Contributions can go negative. A genuine hedge has a negative risk contribution: it reduces total risk. That's correct and useful, but it means a naive "everyone gets a positive slice" mental model breaks for hedged books.
- No return input. Budgeting risk says nothing about reward. Handing equal risk to a great strategy and a mediocre one wastes budget; risk budgeting maximises diversification, not expected return, unless you feed in views.
A risk budget is a snapshot of a moving target. Because it's built entirely from , a shift in correlations can double a position's true risk share overnight without you touching a single weight. Re-estimate and re-budget regularly, and stress-test the budget under a correlations-go-to-one scenario.
Think of risk budgeting as the general case and equal-weight, inverse-vol, and risk parity as points inside it. Risk parity = "every asset gets the same risk slice." Set unequal target slices instead and you've expressed a view — more risk to your best ideas — while still controlling the total.
Practice in interviews
Further reading
- Roncalli, Introduction to Risk Parity and Budgeting
- Litterman (1996), Hot Spots and Hedges