What is wrong-way risk and how do you measure it?
FRM Part II discusses 'wrong-way risk' as a particularly dangerous form of credit risk. I understand it means exposure increases when default probability increases, but can someone explain specific examples and how to quantify it?
Wrong-way risk (WWR) occurs when the exposure to a counterparty increases as the counterparty's credit quality deteriorates. This is the nightmare scenario in credit risk because the two things that hurt you (high exposure AND high default probability) happen simultaneously.
Types of wrong-way risk:
1. Specific wrong-way risk:
Direct causal relationship between the counterparty and the underlying exposure.
| Example | Why It's Wrong-Way |
|---|---|
| Buying a put option from a bank ON that bank's own stock | If the bank's stock falls, the put becomes more valuable BUT the bank is more likely to default |
| Receiving fixed in an interest rate swap from a mortgage lender | Rising rates increase exposure AND stress the lender's mortgage portfolio |
| Buying CDS protection from a bank correlated with the reference entity | If the reference entity defaults, the protection seller (correlated bank) may also default |
2. General wrong-way risk:
Broader economic factors cause exposure and credit quality to move together.
| Example | Mechanism |
|---|---|
| FX forwards with EM counterparties | Currency depreciation increases exposure AND stresses the EM counterparty |
| Commodity swaps with commodity producers | Commodity price drop increases exposure AND hurts the producer's creditworthiness |
| Equity derivatives with hedge funds | Market crash increases exposure AND may push the fund toward default |
Right-way risk (the opposite):
Exposure decreases when the counterparty's credit quality deteriorates. Example: Selling a put option to a bank on its own stock — if the bank weakens, the put becomes more valuable to them but your exposure DECREASES.
Measuring wrong-way risk:
1. Correlation approach:
Model the correlation between exposure and default probability:
- Positive correlation = wrong-way risk
- Zero correlation = standard credit risk
- Negative correlation = right-way risk
WWR-adjusted CVA is significantly higher than standard CVA when exposure-default correlation is positive.
2. Alpha multiplier (Basel):
Basel uses an alpha factor (α = 1.4 for standardized approach) applied to the Effective EPE to account for wrong-way risk:
EAD = α × Effective EPE
The 1.4 multiplier is a blunt but conservative adjustment.
3. Conditional exposure approach:
Calculate Expected Exposure CONDITIONAL on the counterparty being near default. If conditional EE >> unconditional EE, wrong-way risk is severe.
Quantitative example: Granite Bank has a $100M FX forward with an emerging market counterparty. In normal conditions, the expected exposure is $8M. But conditioning on the counterparty's credit spread exceeding 1000bps (near-default), the expected exposure jumps to $25M because the EM currency has depreciated sharply.
Standard CVA: $8M × 5% PD × 60% LGD = $240K
WWR-adjusted CVA: $25M × 5% PD × 60% LGD = $750K (3× higher)
Exam tip: FRM Part II tests identification of specific vs. general WWR, examples of each, and the conceptual approach to measurement. Know the alpha multiplier and why conditional exposure matters.
Explore credit risk modeling on AcadiFi's FRM platform.
Master Part II with our FRM Course
64 lessons · 120+ hours· Expert instruction
Related Questions
How exactly do futures margin calls work, and what happens if I can't meet one?
How do you calculate the settlement amount on a Forward Rate Agreement (FRA)?
When should I use Monte Carlo simulation instead of parametric VaR, and how does it actually work?
Parametric VaR vs. Historical Simulation VaR — when does each method fail?
What are the core components of an Enterprise Risk Management (ERM) framework, and how does it differ from siloed risk management?
Join the Discussion
Ask questions and get expert answers.