Estimating Bond Credit Loss from Spreads and CVA
Summary
The document presents a simplified way to infer default risk from a bond’s credit spread. It relates the spread to loss given default and default probability through the credit triangle: spread is approximately the product of one minus recovery and the default intensity. If the market provides only the spread, recovery or default intensity must be assumed, because different combinations can imply the same spread.
For counterparty valuation adjustment, the response gives an integral based on expected positive exposure, discounting, and the change in survival probability over the contract’s life. It notes that survival dynamics depend on modeling assumptions and gives an exponential survival example under constant intensity. The method is approximate: CVA calculation becomes a derivatives-pricing problem, particularly when exposure and survival are correlated. The document does not provide a worked numerical example or prescribe how to choose recovery and default assumptions.
Key ideas
- A bond credit spread can be used as a rough market-based measure of default loss.
- The credit triangle links spread, recovery, and default intensity.
- A spread alone cannot distinguish high default probability with low loss from the reverse.
- CVA depends on expected positive exposure, discount factors, and survival probabilities.
- Correlation between exposure and survival can complicate CVA modeling.
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Full text
# How to derive the expected loss from the credit risk of a bond?
# How to derive the expected loss from the credit risk of a bond?
I am trying to work out a formula to derive the expected loss from the credit risk of a bond.
My idea is to tie the credit risk to credit valuation adjustment and derive the expected loss from there, but then how would I relate credit risk and credit valuation adjustment?
Help would be greatly appreciated.
Thanks in advance!
## Answer by StackG (score 1)
https://quant.stackexchange.com/a/55943
One way to estimate the credit risk of a bond is to look at the price of insuring the bond using a Credit Default Swap, which will cost roughly the spread between the bond's yield and the yield of a risk free bond with the same maturity (typically we use a government bond here).
Using simple assumptions, this leads us to the Credit Triangle, $$K = (1-R)\lambda$$ where $K$ is the credit spread, $R$ is the recovery-given-default (ie. what you expect to get back out of 100 if there's a credit event), and $\lambda$ is the probability of default per unit time. Given any two of these by the market, we can calculate the third.
Note that if we can only see $K$, we need to make some assumptions about either $R$ or $\lambda$ - the market will charge the same for a bond with high probability of default but low loss-given-default as it will for a bond with low probability of default but high loss-given-default.
If you want to calculate CVA of a contract expiring at time $T_f$, that is typically done using either the credit spreads from either CDS contracts or calculated spreads between the company's bonds and the risk free bonds to calculate values for $R$ and $\lambda$, and then solving $$CVA = (1-R) \int_0^{T_f} EPE(t) \cdot P(0,t) \cdot S'(t) dt$$ where $S'(t)$ is the derivative of the probability of survival until $t$ (depends on modelling assumptions, but this often assumed to be $-\lambda e^{-\lambda t}$), $P(0,t)$ is the discount factor to time $t$, and $EPE(t)$ is the expected positive exposute at time $t$. This complicates things a bit (especially of $S$ and $EPE$ are correlated...) and turns CVA calculations even for simple instruments into a derivtives pricing problem - the procedure is discussed in more depth in this articleShown 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.