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Bootstrapping Default Probabilities and Proxing CDS Spreads

Article Quant Q&A · Author: Dennis

Summary

The discussion describes how to infer default probabilities from credit default swap data for counterparty valuation adjustments. A standard approach starts with the shortest maturity and assumes a constant hazard rate over that interval. For each later maturity, it holds earlier hazard rates fixed and calibrates the hazard rate over the new interval so the modeled CDS value matches the market quote. Given a CDS curve and an assumed recovery rate, bootstrapping produces a survival probability curve.

For issuers without reliable or observable CDS quotes, the answers describe proxy methods. These map an illiquid name to liquid names or indices with similar characteristics, or estimate spreads from observable CDS using rating and maturity factors; country, sector, and leverage are also suggested as factors. The answers differ on what the term “Macro Surface” specifically means, and one respondent says the label is unfamiliar. Proxy choice may require trader input, and these estimates depend on available comparables, calibration choices, liquidity, and the recovery assumption.

Key ideas

  • CDS-implied default probabilities can be bootstrapped by calibrating hazard rates across successive maturities.
  • The calibration matches modeled CDS values to market quotes while retaining previously calibrated intervals.
  • A survival probability curve can be derived from the CDS curve given an assumed recovery rate.
  • Unobservable or illiquid issuers can be assigned proxy spreads from comparable names, indices, or factor models.
  • Proxy estimates depend on factor selection, liquidity, calibration, and potentially trader judgment.

Tags

Full text
# How is the default probability implied from market implied CDS spreads for CVA/DVA calculation?


# How is the default probability implied from market implied CDS spreads for CVA/DVA calculation?












From point 38 on P.17 the default probability can be implied from market implied CDS spreads. "Macro Surface" method is mentioned, but I cannot get any clue of what it is? Where do I get the acedemic reference for that?

Also what is the commonly used methodology to imply default probability for CVA/DVA calculation?

The article "Credit and Debit Valuation Adjustment" can be seen in http://www.ivsc.org/sites/default/files/IVSC%20CVA%20-DVA%20%20ED_0.pdf

## Answer by adam (score 3)

https://quant.stackexchange.com/a/10298

There are quite a few methods to calculate default probabilities from CDS data. Simply you start at the shortest tenor, assume constant hazard rate. Then for the next tenor, you assume the previous hazard rate is still valid till the previous tenor, and the hazard rate between the previous tenor and new tenor is calibrated so that CDS PV matches the market price.

The Macro Surface method is explained in the document. Actually we use this proxy method but never seen it named as this. Simply you map your illiquid CDS to liquid index CDS that have similar rating, industry, country. In the mapping you can assign some scaling, that is calibrated historically to from the liquid single names to liquid indices. The issue usually is to figure out the liquid single name CDSs. You might need some trader input.

## Answer by StudentT (score 3)

https://quant.stackexchange.com/a/12716

Your reference says "This method derives implied CDS spreads for unobservable issuers through the interpolation or extrapolation of observable CDS. It is a factor model that constructs CDS spread surface as a function of credit rating and maturity."

So this is for issuers which do not have any CDS contracts priced (there are no CDS spreads to bootstrap). I've never heard of it and I'm pretty sure that this is just their own phrase for a simple linear regression model where the betas are {1} or {0}, {1} indicating membership of a factor group {AAA,AA,BBB} {3yr,5yr,7yr}.

For my own part, if you wish to do this I would suggest using also Country, Sector, and Leverage Factors.

## Answer by Kiwiakos (score 3)

https://quant.stackexchange.com/a/17806

A methodology for estimating rating/ region/ sector proxies for ACVA calculations can be found here: http://www.nomura.com/resources/europe/pdfs/cva-cross-section.pdf Please let me know if you need anything to be clarified (caveat: I am one of the authors). The methodology assigns a CDS mark to counterparties that either have no CDS marks, or their marks are unreliable due to poor liquidity.

This sounds similar to what they call 'macro method', although I have never heard the term before. They could refer to a more direct approach where they map a name to a traded market-wide index.

Given the CDS curve, the Survival Probability Curve is derived by bootstrapping and under an assumption for recovery.

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.