Wrong-Way Risk
Wrong-way risk is what happens when a counterparty is most likely to default exactly when it owes you the most money.
Prerequisites: Potential Future Exposure, Counterparty Credit Risk
Imagine selling credit protection on an oil producer, structured so that your payout to them rises as oil prices fall. Now imagine that same producer's own survival depends heavily on the price of oil. If oil crashes, two things happen at once: you owe the producer more money, and the producer becomes more likely to default before it can collect. The risk you're exposed to isn't just "the counterparty might default" or "the exposure might grow" — it's that the two are moving together, in the worst possible direction. That's wrong-way risk.
Wrong-way risk is a positive correlation between how much a counterparty owes you and how likely that counterparty is to default. It turns two individually manageable risks into a combined risk that's worse than either alone.
Why correlation is the whole story
Standard exposure models, including Potential Future Exposure, typically assume a counterparty's creditworthiness is independent of the trade's mark-to-market. Under that assumption, a bad default and a large exposure are just two unlucky, unrelated events. Wrong-way risk breaks that assumption on purpose: it names the case where default probability and exposure rise together, because they share a common driver.
Drag the correlation slider up. Each point is a simulated future date; the x-axis is the counterparty's implied default risk, the y-axis is your exposure to them. When the cloud is flat (low correlation), high exposure and high default risk happen at unrelated times — normal counterparty risk. As correlation rises, the cloud tilts: exposure and default risk peak together, which is exactly the wrong-way pattern. The mirror image, where exposure falls as default risk rises, is called right-way risk and is comparatively benign.
Worked example
A bank buys protection from Counterparty X against a basket of emerging-market sovereign bonds. Under normal conditions this protection is worth little — a small, stable mark-to-market. But Counterparty X is itself a regional bank heavily invested in those same sovereigns. In a regional crisis, the protection's value to the bank spikes (X owes more) at precisely the moment X's own balance sheet is collapsing (X is less able to pay). A model that priced this trade using X's average default probability, ignoring the crisis-linked spike, would understate the credit risk substantially — potentially by several multiples of the "independent" estimate.
What this means in practice
Wrong-way risk shows up most obviously when a counterparty's business is tied to the same asset it's trading with you — a commodity producer hedging that commodity, a bank writing protection on its own sovereign, an airline trading oil swaps with an oil-linked lender. Regulators require banks to identify and hold extra capital against "specific" wrong-way risk of this kind, separate from the general wrong-way risk baked into normal market-credit correlation.
Wrong-way risk is easy to miss because each leg looks fine in isolation: the exposure model is reasonable, and the credit assessment is reasonable. The danger lives entirely in the correlation between them, which standard exposure and standard credit models each ignore by construction.
Related concepts
Practice in interviews
Further reading
- Gregory, The xVA Challenge (ch. 17)