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089

Case 089Credit derivatives and counterparty riskHard

A bank's five-year swap with a mid-sized client has expected positive exposure of Rs 8, 12, 14, 11 and 5 crore by year. Default probability is 2% a year, loss given default 60%. Compute the CVA and say how collateral would change it.

1The situation

Harsil Bank has a five-year interest rate swap with a mid-sized manufacturing client. There is no collateral agreement. The bank's exposure model gives the expected positive exposure, the average amount the client would owe the bank if it defaulted, for each year: Rs 8, 12, 14, 11, 5 crore.

The credit team puts the client's default probability at 2% a year and the loss given default at 60%. Discount factors for years one to five are 0.94, 0.88, 0.83, 0.78, 0.73. The trading desk wants the credit valuation adjustment to charge into the swap price, and the client has asked whether signing a collateral agreement with a Rs 3 crore threshold would improve its price.

2Your task

What is the CVA, which year contributes most, and how much would the collateral agreement save?

Quick check

Which year contributes the most to the CVA?

Worked solution

Try it on paper, then open one step at a time.

30-second answerThe answer to give first

The CVA is about Rs 0.49 crore, with year 3 the largest contributor, and a Rs 3 crore threshold collateral agreement would cut it to roughly Rs 0.14 crore. Each year's contribution is loss given default times expected exposure times the chance of default in that year times the discount factor. The default chance in year t is 2% times the 98% survival of each earlier year. Collateral leaves the default odds alone and shrinks the exposure above the threshold.

Step 1What is the CVA actually measuring?

If you lend a friend money that he repays only when you ask, your risk is how much he owes on the day he disappears, times the chance he disappears, times how much you would not get back. The credit valuation adjustmentThe price of the chance that a derivatives counterparty defaults while owing you money. It is deducted from the trade value and charged to the client. is that same product, summed year by year and discounted to today. The swap's value to the bank moves with rates, so the amount owed is an average over scenarios where the client owes the bank: the expected positive exposure.

The relationship
CVA=LGD∑t=15EPEt×qt×Dtqt=0.02×0.98 t−1\text{CVA} = \text{LGD} \sum_{t=1}^{5} \text{EPE}_t \times q_t \times D_t \qquad q_t = 0.02 \times 0.98^{\,t-1}
LGDloss given default, 60%
EPE_texpected positive exposure in year t, Rs crore
q_tthe chance of defaulting in year t, having survived to it
D_tdiscount factor for year t
What it says in wordsEach year adds the amount at risk times the chance of losing it that year times the share lost, brought back to today.
Step 2How does the sum come out year by year?

Work the marginal default chance first: 2.00%, 1.96%, 1.92%, 1.88%, 1.84%. The chance falls slightly each year because the client must survive the earlier years to default in a later one. Then multiply across. Year 1 gives 0.6 times 8 times 2.00% times 0.94, Rs 0.090 crore. Year 3 gives 0.6 times 14 times 1.92% times 0.83, Rs 0.134 crore, the largest piece, because the exposure peaks there. The total is Rs 0.4856 crore, about Rs 0.49 crore. Using a flat 2% every year, ignoring survival, gives Rs 0.503 crore, a small overstatement worth naming.

The exposure hump, and what each year adds to the CVA, Rs croreDefault chanceDiscount factorCVA from year82.00%0.940.090Year 1121.96%0.880.124Year 2141.92%0.830.134Year 3111.88%0.780.097Year 451.84%0.730.040Year 5Expectedpositiveexposurex LGD 60%: CVA = Rs 0.49 crore
Expected exposure rises from Rs 8 crore to a peak of Rs 14 crore in year 3 and falls to Rs 5 crore as fewer payments remain, so year 3 contributes most, Rs 0.134 crore, of a total CVA of Rs 0.49 crore.
YearEPE, Rs croreDefault chance that yearDiscount factorCVA, Rs crore
182.00%0.940.0902
2121.96%0.880.1242
3141.92%0.830.1339
4111.88%0.780.0969
551.84%0.730.0404
Total0.4856
Multiplying each year's exposure, default chance, discount factor and the 60% loss gives contributions that sum to Rs 0.4856 crore, with year 3 the largest.
Step 3Why does the exposure hump in the middle?

Two forces pull against each other. Early on, rates have had little time to move, so the swap's value cannot have drifted far from zero. Late in the life, few payments are left, so even a large rate move changes the value by little. The peak sits where rates have had time to move and enough payments remain for the move to matter, typically a third to a half of the way through. A cross-currency swap with a final exchange of principal would not hump; its exposure would keep climbing to maturity.

Step 4How much does collateral save, and what is left?

Under a collateral agreement the client posts collateral for whatever it owes above Rs 3 crore. Collateral does not change the client's default chance; it shrinks the exposure bars, here to at most Rs 3 crore a year, which cuts the CVA from Rs 0.49 crore to roughly Rs 0.14 crore, about 70% less. The figure is approximate: capping the average at the threshold slightly overstates the remaining exposure, and it leaves out the gap risk, the days between the client's last margin payment and the bank closing out after a default, during which rates can move again. A desk would model that margin period of risk explicitly.

Collateral cuts the CVA by shrinking the exposure bars, not the default oddsNo collateralCVA Rs 0.49 crore81214115Threshold Rs 3 croreCVA Rs 0.14 crore33333dashed outline: exposure covered by collateral posted
Without collateral the exposure peaks at Rs 14 crore and the CVA is Rs 0.49 crore; a Rs 3 crore threshold caps each year's exposure near Rs 3 crore and the CVA falls to about Rs 0.14 crore.

Close with what the client hears. The swap price carries a credit charge of about Rs 0.49 crore today, spread into the fixed rate. Signing the collateral agreement would cut that to about Rs 0.14 crore, in exchange for the client finding liquid collateral when rates move against it. For a mid-sized company that liquidity cost can be larger than the saving, which is why many such clients stay uncollateralised and pay the charge.

Where candidates lose it

The common loss is multiplying total exposure by the five-year default probability in one step, which ignores both the shape of the exposure and when default is likely. The sum must be built year by year.

The second is saying collateral reduces the probability of default. It does not; it reduces how much is owed when default happens, and it leaves a residual exposure for the days between a missed margin call and the close-out.

What the interviewer asks next

  • How would the CVA change if the client's credit spread doubled?
  • What is wrong-way risk, and would it apply to this swap if the client borrows at a floating rate?
  • How would the bank's own default risk enter, and why is that controversial?
← Case 088A client buys Rs 25 crore notional of three-month 105% calls on a stock at 400. Mid volatility is 28% and the desk charges 1.5 points. Price the charge, set up the hedge, and work the P&L if realised volatility turns out to be 32%.Case 090 →A fund holds 1,000 lots of six-month at-the-money calls on a stock at 500 when the company announces a surprise special dividend of Rs 25, payable in two months. With delta 0.55, estimate the loss, and explain why put holders gain.

Company names and figures are illustrative.

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