Core Path · L3.4.10

CVA basics

12 minCounterparty credit riskCVAValuation

By the end you will be able to

  1. 1Explain CVA as the price of counterparty risk and compute CVA = (1 − R) Σ EE × DF × PD on a netting set.
  2. 2Show how collateral changes CVA, using the book's netting sets with and without their CSAs.
  3. 3Describe DVA in a sentence and say why regulators leave it out of capital.
  4. 4Measure CVA's sensitivity to the counterparty's credit spread (CS01) and explain why CVA moves every day.

Why it matters

When the Basel Committee looked back at the 2007–09 crisis, it found that roughly two-thirds of the losses banks attributed to counterparty credit risk came from CVA, and only about one-third from counterparties actually defaulting. Banks lost money because their counterparties became more likely to default, and the market price of that risk rose. RiskAtoms Bank's two trades with Halvergate are worth nothing today on the trading desk's screens. Allowing for Halvergate's chance of default, they are worth £211k less.

Core explanation

Putting a price on the counterparty

Illustrative dataRiskAtoms Bank plc's derivatives book

The module's OTC book: eight trades (swaps, FX forwards, a bought index put) with four invented counterparties, each one netting set: Halvergate Manufacturing (BBB, no CSA), Corriemoor Bank (A), Saltney Capital (a hedge fund) and Ebbsworth Pension Trustees (AA). Exposures come from 2,000 seeded Monte Carlo paths of a flat GBP rate, GBPUSD and an equity index, half a month apart, out to ten years. Every firm and figure is made up for teaching, in pounds, on one valuation day; none is market data.

The CVA figures use the book's 2,000-path EE profiles from L3.4.02: Exposure measures, each counterparty's five-year CDS spread (held flat), 40% recovery and the book's 4% discount rate.

The trading desk values a swap as if both sides will always pay: the risk-free value. The counterparty might not. The credit valuation adjustment is the difference:

value with counterparty risk=risk-free value−CVA\text{value with counterparty risk} = \text{risk-free value} - \text{CVA}

CVA is an expected loss, but a market one. It needs three things this module has already built. The expected exposure profile EE(t) from L3.4.02: Exposure measures: how much the bank expects to be owed at each future date. The chance that the counterparty defaults at each date, read from its credit spread with the hazard rates of L3.3.16: Market-implied default risk. And the share of the exposure lost, 1 − R. Multiply them date by date, discount, and add up.

Because CVA is part of a price, it uses risk-neutral default probabilities from CDS spreads, not the real-world PDs of internal ratings. Most counterparties have no traded CDS: a mid-sized manufacturer, a hedge fund or a pension scheme rarely does. Banks then assign a proxy spread from liquid peers with a similar rating, industry and region. The book's spreads for Halvergate, Saltney and Ebbsworth are best read as proxies of this kind.

The book's CVA

CounterpartyCDSHazard λEPE (1y)CVA, no collateralCVA under its CSACS01
Halvergate Manufacturing plc180bp3.00%£2.12m£211kno CSA£1,069
Corriemoor Bank AG70bp1.17%£4.45m£384k£53k£5,204
Saltney Capital LP250bp4.17%£19.26m£958k£35k£3,655
Ebbsworth Pension Trustees Ltd40bp0.67%£5.67m£280k£128k£6,789

Three things stand out. Saltney has the largest CVA, £958k: a big exposure (the bought put is worth about £19m today) and the widest spread. Corriemoor, with a tighter spread than Halvergate, has a larger uncollateralised CVA (£384k) because its trades are much larger. And collateral changes everything: under the CSAs, Saltney's CVA falls to £35k and Corriemoor's to £53k. What is left is the margin period of risk from L3.4.06: The margin period of risk. Ebbsworth keeps more (£128k) because its CSA has a £10m threshold. Across the book, CVA is £1.83m with no collateral and £426k as the CSAs actually stand.

CVA is computed on the netting set, not trade by trade, since close-out netting (L3.4.04: Netting) means only the net amount is lost. IFRS 13 allows exactly this: a bank that manages its exposure to a counterparty on a net basis may measure the credit adjustment on the net position.

The other side: DVA

The bank can default too. DVA is CVA seen from the counterparty's side: the same formula applied to the negative expected exposure, with the bank's own spread. Accounting fair value includes it (IFRS 13 counts the entity's own credit risk in the value of its liabilities), so a bank's profits rise when its own credit worsens. Regulators strip that gain out of capital, and the Basel CVA framework works with CVA alone. For Halvergate, with RiskAtoms Bank's own spread at an illustrative 80bp, DVA is £93k and the bilateral CVA is £118k.

Predict before you reveal

The formal version

Written out, with τ\tau the counterparty's default time, E(t)=max⁡(V(t),0)E(t) = \max(V(t), 0) the netting set's exposure (after collateral where there is a CSA) and a grid 0=t0<t1<⋯<tn=T0 = t_0 < t_1 < \dots < t_n = T:

CVA=E[(1−R) E(τ) DF(τ) 1{τ≤T}]=(1−R)∫0TE[E(t) ∣ τ=t] DF(t) fτ(t) dt=(1−R)∫0TEE(t) DF(t) λe−λt dt(exposure independent of default)≈(1−R)∑i=1nEE(ti) DF(ti) (e−λti−1−e−λti),λ=s1−R\begin{aligned} \text{CVA} &= \mathbb{E}\big[(1-R)\,E(\tau)\,\text{DF}(\tau)\,\mathbf{1}_{\{\tau\le T\}}\big] \\ &= (1-R)\int_0^T \mathbb{E}\big[E(t)\,\big|\,\tau = t\big]\,\text{DF}(t)\,f_\tau(t)\,dt \\ &= (1-R)\int_0^T \text{EE}(t)\,\text{DF}(t)\,\lambda e^{-\lambda t}\,dt \qquad \text{(exposure independent of default)} \\ &\approx (1-R)\sum_{i=1}^{n} \text{EE}(t_i)\,\text{DF}(t_i)\,\big(e^{-\lambda t_{i-1}} - e^{-\lambda t_i}\big), \qquad \lambda = \frac{s}{1-R} \end{aligned}

The survival curve e−λte^{-\lambda t} is continuous decay (M-A05: The number e and continuous growth). Its density is fτ(t)=λe−λtf_\tau(t) = \lambda e^{-\lambda t}, so the PD of each slice is the fall in survival across it. The third line assumes that the exposure on the day of default is no different, on average, from any other day. When that fails, it is wrong-way risk (L3.4.11: Wrong-way risk).

Two approximations. With one point per year at mid-year, CVA≈(1−R)∑yEE(y−12) DF(y−12) PD(y−1,y)\text{CVA} \approx (1-R)\sum_{y} \text{EE}(y - \tfrac12)\,\text{DF}(y-\tfrac12)\,\text{PD}(y-1, y): for Halvergate this gives £214.4k against £210.7k on the half-month grid. And because (1−R)λ=s(1-R)\lambda = s, for small λt\lambda t:

CVA≈(1−R)∑iEE(ti) DF(ti) λ Δt=s∑iEE(ti) DF(ti) ΔtHalvergate:0.018×∑iEE DF Δt=£230,015\begin{aligned} \text{CVA} &\approx (1-R)\sum_i \text{EE}(t_i)\,\text{DF}(t_i)\,\lambda\,\Delta t = s\sum_i \text{EE}(t_i)\,\text{DF}(t_i)\,\Delta t \\ \text{Halvergate:}\quad &0.018 \times \textstyle\sum_i \text{EE}\,\text{DF}\,\Delta t = \text{£}230{,}015 \end{aligned}

The spread approximation is 9% high because it ignores that Halvergate may already have defaulted before the later dates. It explains why CVA is close to linear in the spread and nearly blind to the recovery assumption.

Try it

Pick a netting set, move its spread and recovery, and switch its CSA on and off. The EE profiles are the book's full 2,000-path simulation, computed once on the server; only the CVA sum runs as you move the sliders.

Try itPrice the counterparty risk

Netting set

Collateral

CVA£210.7k
CS01 (CVA change for +1bp)£1,069
Hazard rate λ = s / (1 − R)3.00%
PD within 10 years25.9%
Peak EE£3.19m
CVA ÷ peak EE6.6%
£0m£1m£2m£3m0y1y2y3y4y5y6y7y8y9y10yYears from today
EE, no collateral
£0k£10k£20k£30k£40k12345678910CVA from defaults in each year, 1: £37kCVA from defaults in each year, 2: £40kCVA from defaults in each year, 3: £40kCVA from defaults in each year, 4: £36kCVA from defaults in each year, 5: £28kCVA from defaults in each year, 6: £20kCVA from defaults in each year, 7: £10kYear of default

Raise the recovery rate with the spread held: CVA hardly moves, because a higher R means a smaller loss but a higher implied hazard rate. Switch Saltney to its CSA to see how much margin removes.

Worked example

Halvergate's CVA, year by year

From a CDS spread and an exposure profile to a price

Step 1 of 5
  1. 1

    Hazard rate and PDs

    Halvergate's proxy spread is 180bp with 40% recovery: λ=0.018/0.6=3.00%\lambda = 0.018 / 0.6 = 3.00\% a year. The chance of default in year 1 is 1−e−0.03=2.96%1 - e^{-0.03} = 2.96\%, in year 2 e−0.03−e−0.06=2.87%e^{-0.03} - e^{-0.06} = 2.87\%, and so on: 18.9% within the seven years of the swap.

What the CVA desk notes

Halvergate (no CSA, proxy 180bp): CVA £211k, CS01 £1,069/bp, about 3.5bp a year on the swap. DVA at our own 80bp is £93k, not counted for capital. Negative EPE £2.15m: Halvergate is owed money by us on many paths too.

Regulatory lens

Accounting. IFRS 13 defines fair value as an exit price between market participants, so derivative values must reflect the counterparty's credit risk (CVA) and, for liabilities, the entity's own non-performance risk (DVA). Its portfolio exception (paragraphs 48 and 56) lets a bank measure the adjustment on the net exposure to a counterparty, taking account of netting agreements.

Capital. Basel III added a capital charge for CVA risk after the crisis losses in the hook. Today's framework (MAR50, in force from 1 January 2023) offers a basic approach, BA-CVA, in a reduced form with no hedges and a full form that recognises CDS hedges, and a standardised approach, SA-CVA, built on sensitivities like the ones in this lesson, which needs supervisory approval. Regulatory CVA excludes DVA. A bank with €100 billion or less of non-centrally cleared derivatives may simply set CVA capital equal to its counterparty credit risk capital. The detail is in M4.3: Market risk capital (FRTB) and CVA; DVA, funding and the other valuation adjustments (XVA), with full exposure simulation, are in M6.6: Counterparty risk and XVA.

Spark Atoms

Spark AtomProfit from your own decline
Under fair-value accounting, a bank whose own credit spread widens books a DVA gain on its derivative liabilities: it is now “expected” to pay back less. The Basel Committee decided in July 2012 that these gains must be removed from Common Equity Tier 1 for derivatives, phased in from 2014 and in full from 1 January 2018, and that they may not be offset against CVA losses.
Spark AtomRecovery hardly matters
With the spread fixed, moving Halvergate's recovery from 20% to 60% changes its CVA only from £215k to £202k. The recovery assumption that matters a great deal for a loan's expected loss is almost irrelevant here, because the same R is used to read the hazard rate out of the spread. It matters again when the bank's recovery differs from the one in the CDS market, for example on collateralised or senior claims.

Key takeaways

  • CVA is the risk-free value minus the risky value: the market price of the counterparty's possible default.
  • CVA = (1 − R) Σ EE(t) × DF(t) × PD(t−1, t), with PDs from the CDS (or proxy) spread; Halvergate's is £211k.
  • Collateral cuts CVA sharply: Saltney £958k to £35k, Corriemoor £384k to £53k.
  • CVA ≈ spread × discounted exposure: nearly linear in the spread, nearly blind to the recovery assumption.
  • CVA moves daily with spreads and exposures (CS01), so it is a market risk; DVA is its mirror image, excluded from capital.

Reaction

Check what stuck

Question 1 · objective 1

A one-period sketch: expected exposure £10m, probability of default in the period 2%, recovery 40%, discount factor 0.95. What is the CVA, in £ thousands?

£k

Question 2 · objective 2

Saltney's uncollateralised CVA is £958k; under its CSA it is £35k. What removes most of it?

Question 3 · objective 4

A netting set's CVA is £300k and its CS01 is £1,500. The counterparty's spread widens by 40bp. About what is the new CVA, in £ thousands?

£k

Question 4 · objective 3

Why do the Basel rules ignore DVA when they measure a bank's capital?

Question 5 · objective 1

Halvergate has no traded CDS. What PD does the CVA desk use?

Glossary

CVA
Credit valuation adjustment: the risk-free value of a netting set minus its value allowing for the counterparty's possible default. The market price of counterparty risk.
Risk-free value
The value of a derivative as if neither side could default: what the book's pricing models give.
DVA
Debit valuation adjustment: the mirror image of CVA, the value to the bank of its own possible default on what it owes the counterparty.
Bilateral CVA
Bilateral CVA: CVA minus DVA, the net adjustment when both sides' default is priced.
Negative expected exposure
Negative expected exposure: the average of max(−V, 0), what the counterparty expects to be owed by the bank.
CS01
CS01: the change in CVA when the counterparty's credit spread rises by one basis point.
Proxy spread
A spread used for a counterparty with no traded CDS, taken from liquid peers of similar rating, industry and region.
Exit price
Fair value under IFRS 13: the price that would be received to sell an asset, or paid to transfer a liability, between market participants at the measurement date.

Deep Dives & Origins

Deep Dives

  • J. Gregory, The xVA Challenge: Counterparty Credit Risk, Funding, Collateral, and Capital, 3rd edition, Wiley, 2015 (the chapters on CVA and DVA). Intermediate.
  • J. C. Hull, Options, Futures, and Other Derivatives, Pearson, the chapter on derivatives credit risk (CVA and DVA). Intermediate.

Origins

  • Basel Committee on Banking Supervision, “Capital treatment for bilateral counterparty credit risk finalised by the Basel Committee”, press release, 1 June 2011.
  • Basel Committee on Banking Supervision, Basel Framework, MAR50 Credit valuation adjustment framework (in force 1 January 2023).
  • Basel Committee on Banking Supervision, “Regulatory treatment of valuation adjustments to derivative liabilities: final rule”, press release, 25 July 2012.
  • IASB, IFRS 13 Fair Value Measurement, paragraphs 9, 42–44, 48 and 56.

Watch this lesson

Video version

Prefer to watch? The same lesson as a 12-minute video will sit here, made from this page's script.