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Inferring Correlations of Asset Values and Distances-to-Default from CDS Spreads: A Structural Model Approach

Inferring Correlations of Asset Values and Distances-to-Default from CDS Spreads: A Structural... Using structural credit risk models to estimate default dependence requires estimates of correlations of changes in distance-to-default. We present a structural model that yields simple relations between asset value, distance-to-default, and CDS spreads, allowing the correlations to be estimated from CDS spreads. We generalize the model to include a randomly varying default boundary; in this version the distance-to-default dynamics also depend on the movement of the default boundary. The CDS spread correlations we estimate exceed equity correlations, consistent with a randomly varying default boundary. We also present evidence that variations in funding liquidity affect the correlations, consistent with recent models. (JEL G13, G23) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Review of Asset Pricing Studies Oxford University Press

Inferring Correlations of Asset Values and Distances-to-Default from CDS Spreads: A Structural Model Approach

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References (38)

Publisher
Oxford University Press
Copyright
The Author 2015. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: journals.permissions@oup.com
ISSN
2045-9920
eISSN
2045-9939
DOI
10.1093/rapstu/rav001
Publisher site
See Article on Publisher Site

Abstract

Using structural credit risk models to estimate default dependence requires estimates of correlations of changes in distance-to-default. We present a structural model that yields simple relations between asset value, distance-to-default, and CDS spreads, allowing the correlations to be estimated from CDS spreads. We generalize the model to include a randomly varying default boundary; in this version the distance-to-default dynamics also depend on the movement of the default boundary. The CDS spread correlations we estimate exceed equity correlations, consistent with a randomly varying default boundary. We also present evidence that variations in funding liquidity affect the correlations, consistent with recent models. (JEL G13, G23)

Journal

The Review of Asset Pricing StudiesOxford University Press

Published: Jun 24, 2015

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