Counterparty credit risk (CCR) is the risk that a counterparty to a financial transaction — most commonly a derivatives trade — defaults on its obligations before the transaction has been fully settled. Unlike a loan, where the bank's exposure is the outstanding principal, derivatives exposure fluctuates with market prices over the life of the contract. A bank that has entered a five-year interest rate swap with a corporate counterparty faces the risk that the counterparty defaults when the swap has a large positive value to the bank — at precisely the moment when the bank stands to lose the most.

CCR sits at the intersection of market risk and credit risk: the probability of default belongs to credit, but the size of the exposure depends on market movements. Managing it requires both disciplines, and in a bank the CCR function typically sits within the credit risk management function, using market risk infrastructure to model exposure.

Current Exposure vs Potential Future Exposure

The exposure on a derivatives trade has two components: current exposure and potential future exposure.

Current Exposure (CE)

Current exposure is the mark-to-market (MTM) value of the derivative today, if positive. If the bank's five-year IRS has a positive MTM value of £5 million — meaning the counterparty owes the bank £5 million in present value terms — and the counterparty defaults today, the bank loses £5 million (subject to recovery and any netting). If the MTM is negative, the bank owes the counterparty: in a default, the bank would have to pay the liquidator the net negative value, but would not itself suffer a credit loss. Current exposure is therefore always floored at zero — the bank cannot benefit from a counterparty default by escaping a negative MTM obligation.

Potential Future Exposure (PFE)

PFE is a forward-looking measure: the maximum exposure the bank might face at some future point in time, at a given confidence level (typically 95%). PFE is calculated by simulating possible future market scenarios — using a Monte Carlo simulation of the relevant market risk factors — and measuring what the MTM of the trade or portfolio would be under each scenario at each future time point. The 95th percentile of the distribution of future positive MTM values, at each horizon, is the PFE profile.

PFE is hump-shaped for most derivatives. At inception, the trade has a known MTM (often close to zero for at-market trades). Over time, market moves cause the MTM to deviate from zero in either direction, so PFE increases. Eventually, as the trade approaches maturity, the remaining exposure shrinks as there are fewer future cash flows to be at risk. The peak of the PFE profile — the maximum PFE across all horizons — is the metric most commonly used for credit limit purposes.

Expected Positive Exposure (EPE)

EPE is the time-averaged expected positive exposure — the average of the expected MTM across all future time points, weighted by the probability that the exposure is positive. EPE is the exposure measure used in the regulatory capital framework (SA-CCR uses a variant of this concept) and in the CVA calculation.

Credit Limits and How They Work

Every counterparty the bank deals with has a credit limit — the maximum exposure the bank is prepared to accept to that counterparty at any point in time. Credit limits are set by the credit risk function based on the counterparty's creditworthiness (internal credit rating, financial strength, sector, country) and the bank's risk appetite for that counterparty and sector. The limit is expressed in terms of peak PFE: a limit of £50 million means the bank is willing to accept a worst-case future exposure of up to £50 million to this counterparty.

Credit limits cascade: a counterparty-level limit sits within a sector limit (e.g., total exposure to the financial services sector), which sits within country limits and overall portfolio concentration limits. The credit risk function monitors limit utilisation in real time — or at minimum daily — and flags breaches for approval or immediate resolution (typically by reducing the relevant exposure).

Settlement Limits and Pre-Settlement Limits

Two types of credit limits operate simultaneously in a capital markets context. Settlement limits (or delivery risk limits) capture the risk that a counterparty fails to deliver a security or payment on the settlement date of a spot or near-term transaction. This is a short-duration risk — the exposure exists only for the settlement period, typically one to two days. Pre-settlement limits (or replacement cost limits) capture the CCR on derivatives and other forward transactions — the risk that the counterparty defaults before final settlement, when the trade still has economic value.

Netting Agreements

Without netting, the bank's exposure to a counterparty with multiple trades would be the sum of all positive MTM values across all trades. Netting agreements — primarily ISDA Master Agreements with a Credit Support Annex (CSA) — allow the bank and the counterparty to net their exposures across all trades covered by the agreement. If the bank has a £10 million positive MTM on one trade and a £7 million negative MTM on another, the net exposure under a netting agreement is £3 million, not £10 million.

Netting dramatically reduces gross CCR exposure. The benefit depends on the degree to which trades in the netting set offset each other. A portfolio containing both payer and receiver interest rate swaps with the same counterparty will have a much smaller net exposure than a portfolio containing only one direction of trade. Credit risk functions monitor netting benefits and factor them into limit utilisation calculations — the limit is applied to the net PFE of the netting set, not to the sum of individual trade PFEs.

Wrong-Way Risk

Wrong-way risk is the particularly dangerous combination of high exposure and high probability of default — when the two are positively correlated, so that the counterparty is most likely to default precisely when the bank's exposure to it is largest. A credit default swap where the bank buys protection from a counterparty whose credit quality is correlated with the reference entity creates wrong-way risk: if the reference entity deteriorates, the counterparty's creditworthiness deteriorates simultaneously, increasing both the exposure (the swap gains value as the reference credit spreads widen) and the probability of counterparty default.

Specific wrong-way risk — where the link between exposure and counterparty credit quality is direct and identifiable — requires specific modelling and limits. General wrong-way risk — arising from broad macroeconomic correlations between market risk factors and default probabilities — is harder to capture but equally important during systemic stress events.

CVA: Credit Valuation Adjustment

The CVA is the market value of the CCR embedded in a derivatives portfolio. It represents the expected cost to the bank of counterparty default — the probability-weighted present value of the losses the bank would incur if the counterparty defaults at each future time point when the bank has positive exposure. The CVA is booked as a deduction from the fair value of the derivatives portfolio: it makes the valuation of a derivatives book reflect the credit quality of the counterparties, not just the risk-free MTM.

Under Basel III, there is a separate capital charge for CVA risk — the risk that the CVA itself changes in value due to changes in the counterparty's credit spread, changes in the market risk factors driving the exposure, or both. Banks can calculate the CVA capital charge using the standardised approach (SA-CVA) or, subject to regulatory approval, an internal models approach.

Centrally cleared trades are exempt from the CVA capital charge, because the CCP sits between the counterparties and is not subject to the same bilateral default risk. This exemption is a significant incentive for central clearing — for large derivatives portfolios, the CVA capital saving from clearing can be substantial.