WhitmanTrading

What Is Counterparty Credit Risk?

Counterparty credit risk is the risk that a party to a contract defaults before meeting its obligations, on an exposure whose size varies with market prices rather than being fixed. It differs from ordinary lending because the amount at risk is unknown at the outset and can change direction entirely.

Lend somebody money and you know exactly what you stand to lose. Enter a swap with them and you stand to lose an amount that does not exist yet, and may never.

How it works

A price series where a counterparty fails before settling.
Counterparty credit risk is failure before settlement. Illustrative chart - not real market data.

A contract creates an obligation to be met later. Between agreement and settlement, either side might cease to exist.

A steady series where exposure varies with prices.
The amount at risk moves with the market. Illustrative chart - not real market data.

The exposure is the replacement cost. If the counterparty vanishes, you must replace the contract at current prices, and the loss is the difference between the old terms and the new ones.

A rising series where exposure grows from nothing.
It can start at zero and become large. Illustrative chart - not real market data.

A swap is worth zero at inception. There is no exposure on day one; it appears purely because the market moved, which is unlike any lending relationship.

A falling series where exposure reverses direction.
And it can point either way. Illustrative chart - not real market data.

Why it is harder than lending risk

A choppy series where exposure is uncertain in advance.
Which is why it is harder than lending risk. Illustrative chart - not real market data.

The exposure is bilateral. In a loan only the lender is exposed. In a derivative each side may end up owing the other, so both must assess the other’s credit.

A slow series where exposure evolves over years.
And different again over a long horizon. Illustrative chart - not real market data.

And it must be estimated across the contract’s life, not measured today. What matters is how large the exposure could plausibly become before maturity, which requires a distribution rather than a number.

A calm series where exposure stays near zero.
A quiet stretch hides what it measures. Illustrative chart - not real market data.

Which is why the industry uses potential future exposure. A percentile of the modelled distribution of what the contract could be worth, at each point in its life, rather than its current value.

A worked example

Two parties enter a ten-year swap. On day one it is worth zero to both, and neither has any exposure to the other.

Rates move over two years and the swap is now worth 8 million to party A. Party A has an 8 million credit exposure to party B that did not exist when they signed.

A falling series with a stop level marked.
A stop fills where the market is. Illustrative chart - not real market data.

Party B defaults. Party A must replace the swap at current market terms, which costs approximately that 8 million, and it ranks as an unsecured creditor for the amount.

Now reverse the rate move. Party B would have had the exposure instead, to A, of a similar size — which is why both parties assessed each other’s credit before signing anything.

Wrong-way risk

The dangerous case is exposure that grows as the counterparty weakens. If the thing causing your counterparty to fail is the same thing making the contract valuable to you, the two risks are not independent.

A concrete shape. Buying protection against a company’s default from a bank heavily exposed to that same company means the protection is worth most when the seller is least able to pay.

Or a currency example. A swap that pays you when a country’s currency collapses, transacted with a bank in that country, is a claim that becomes large at the moment the institution behind it is under maximum strain.

Which is why the discipline treats wrong-way risk separately. Ordinary counterparty exposure can be modelled as market moves and default probability multiplied together; wrong-way risk breaks that assumption, and it is where the largest surprises have historically come from.

The original data

On this site’s shared series direction runs average 2.01 bars with a longest of 11, the ninetieth percentile bar is 1.101 and the largest is 2.338.

An uncollateralised exposure accumulates across a run. An eleven-bar move in one direction, with nothing settling, is a substantial obligation built from ordinary daily moves rather than from any single dramatic event.

A candlestick chart annotated with the cost of a round trip.
A round trip costs a share of a bar. Illustrative chart - not real market data.

And replacing a contract costs the spread: 0.0098 per round trip on this site’s series, about 2% of the median bar range of 0.493 — a cost the surviving party pays on top of the loss, and one that widens in exactly the conditions where a default occurs.

A price series with volume shown beneath.
Volume and price measure different things. Illustrative chart - not real market data.

How it is actually managed

Netting agreements. A master agreement covering many trades means only the net amount is owed on default, rather than every losing contract being claimed while every winning one is repudiated.

Collateral. Exposure above a threshold is covered by assets posted daily, which converts credit risk into liquidity risk and operational risk — better risks, and not no risk.

Central clearing. Standardised contracts are novated to a clearing house, which replaces the counterparty entirely.

And pricing. The cost of counterparty credit is charged into the trade as a valuation adjustment, so a weaker counterparty receives a worse price rather than being refused — which is the market’s way of handling a risk it cannot eliminate.

The valuation adjustments

CVA is the credit valuation adjustment - the expected loss from the counterparty defaulting, priced into the trade and charged to the client rather than absorbed quietly.

DVA is the same calculation pointing the other way, the value of your own possible default to you, which is correct in theory and deeply uncomfortable in practice: a firm’s own deterioration creates an accounting gain.

And FVA covers the funding cost of the collateral an uncollateralised trade obliges the dealer to post elsewhere, which is a real expense somebody has to carry.

Together they mean the quoted price contains credit. Two clients asking for the same trade get different prices based on their own standing, which is the market pricing a risk rather than refusing it.

When it fails

The characteristic failure is netting that does not hold up. A firm calculates its exposure on the assumption that gains and losses across hundreds of contracts with one counterparty will offset on default. That offset depends on a master agreement being enforceable in the counterparty’s jurisdiction, in insolvency, against an administrator with incentives of their own. Where the legal opinion turns out to be optimistic, the net exposure that was carefully managed becomes a gross exposure that was never sized for, and the difference between those two numbers is enormous.

A candlestick series with a gap through a level.
A gap skips the level entirely. Illustrative chart - not real market data.

A second failure is ignoring wrong-way risk, where exposure and default probability rise together.

A third is treating collateral as complete protection. It is revalued with a lag, and a gap move happens between valuations.

A fourth is modelling potential exposure from calm data, which understates the distribution’s tail.

A declining series cut short at a decision point.
The swap is deep in profit. Can they pay? Illustrative chart - not real market data.

And a fifth is forgetting it is mutual. Your counterparty is running the same analysis on you, and your own deterioration changes what they will trade.

Counterparty risk covers the general exposure to the other side. Clearing house covers the institution built to remove it. And interest rate swap covers the contract type where this risk is most studied.

What I actually do

A loan has a known amount at risk from day one. A derivative does not — it starts at zero and becomes an exposure only because prices moved. That single difference is why this risk needed its own discipline and its own vocabulary.

— Michael Whitman

This page is educational, not financial advice. Test every idea on your own charts before risking money.