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Approximating the Market Value of a Credit Default Swap

Article Quant Q&A · Author: Owe Jessen

Summary

The document explains how to estimate the mark-to-market value of a credit default swap (CDS) after its market spread changes. It presents an approximation for a short-protection contract: multiply the difference between the contract coupon and current market spread by an annuity factor based on the risk-free rate and default intensity, with an adjustment for the premium payment day-count basis. Default intensity is approximated from the spread and expected recovery rate.

The answer says this approximation is exact for continuously paid premiums under flat credit and interest-rate curves, and can be useful for quarterly-pay CDS under similar assumptions. It does not provide a worked example or independently validate the stated accuracy comparison. More precise valuation requires modeling scheduled premium cash flows, integrating the protection leg through expiry, and fitting the credit curve to market spreads. Other responses flag counterparty, liquidity, and contract-specific default risks as additional considerations; the simpler spread-difference formula is offered without comparable caveats or derivation.

Key ideas

  • CDS value reflects the difference between the premium leg and the protection leg.
  • A spread-based approximation uses the coupon-to-market-spread difference and an annuity factor.
  • The approximation assumes flat credit and interest-rate curves and continuous premium payments for exactness.
  • More accurate valuation models actual payment dates, the protection leg over time, and the credit spread term structure.
  • Counterparty, liquidity, recovery, and contract terms can affect practical valuation.

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Full text
# Market Value of a CDS


# Market Value of a CDS












I need to model the market value of CDS in a portfolio. My current approach is to calculate the present value of the future spread payments - does anybody have a better idea to solve the problem?

Edit: I calculated the spread in the following way (as in Hull-White):

$PV_{surv} = \sum_{i=1}^T {(1−p_d )^i \cdot e^{-y\cdot i }}; $

$PV_{def}=\sum_{i=1}^{t}{p_d \cdot (1-p_d)^{i-1} \cdot (1-R)}$

$s=PV_{def}/PV_{surv}$

2nd edit: I found the following statement: http://www.yieldcurve.com/Mktresearch/files/Abukar_Dissertation_Sep05.pdf "the market value of a cds is the difference between the two legs", leading to:

$MV_{CDS} = s\cdot PV_{surv} - PV_{def}$

## Answer by Dom (score 3, accepted)

https://quant.stackexchange.com/a/30599

There is a much better pricing formula which is an accurate approximation. Anecdotally I believe that the difference between this and the "offical" CDSW calculator on Bloomberg will be within about 0.5% or less of the notional, especially if the CDS curve is flat.

For a \$1 notional of short-protection contract with coupon $C$, market spread $S$ and $T$ years to maturity, where $R$ is the expected recovery rate, and $r$ is the continuously compounded $T$-year swap rate, we have

$$ V= (C-S) \cdot\frac{1- e^{ -gT } }{g} \cdot\frac{365}{360} $$

where

$$ g=r+\frac{S}{1-R} $$

This approximation is exact in the limit of a continuously paying premium leg with a flat credit and interest rate curve. As CDS pay quarterly and as credit curves are often quoted using a flat spread, this formula is a good approximation. Note that the factor of 365/360 corrects for the Actual 360 basis used to calculate CDS premium payments, while $T$ is calculated in calendar years.

To get a more accurate pricing would require you to calculate all of the premium flows correctly. You would also need to have the ability to value the protection leg which requires a time-integral to contract expiry. Finally you would need to fit your model to the term structure of CDS spreads. There is a more detailed description at this link.

## Answer by tony.kimball (score 3)

https://quant.stackexchange.com/a/1438

I'm not expert. However, it seems clear that you're generating an upper bound on the seller value. You have to model the risk of default, as well as any convenantal terms for structured default, to generate an expected payout rate, and deduct that from the DCFs, to get a more realistic value. If the terms include a swap put model that separately. To set a bid, you need to model counter-party and (ideally) liquidity risk as well. You might want to read the standard: http://www.cdsmodel.com/

## Answer by Owe Jessen (score -1)

https://quant.stackexchange.com/a/1544

A simpler solution I found is to discount the differences between current spread and original spread:

$MV_{CDS}=T \cdot (s_0 - s_t )\cdot \sum_{i=1}^{T}{e^{-r\cdot i }}$

Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.