Finance Faculty Publications and Presentations
Document Type
Article
Publication Date
Fall 2017
Abstract
Extracting information from daily CDS spreads, we propose a measure of correlated default risk, which we show is a meaningful predictor of bankruptcy clusters. Focusing on U.S. corporate bonds, we also find that our measure of correlated default risk is more pronounced and commands a higher premium during periods of financial distress and for speculative issues. For instance, we find that after controlling for other known determinants of bond pricing, a 0.5 increase in aggregate correlated default risk is associated with a 13-bps increase in credit spreads, and elevates to a 22-bps premium for speculative issues and to a 17-bps premium during periods of financial distress. Overall, our paper provides compelling evidence as to the efficacy of our measure in capturing correlations in the likelihood of default over time, and has important implications for future work in asset allocation and fixed-income pricing.
First Page
6
Last Page
29
Publication Title
The Journal of Fixed Income
DOI
10.3905/jfi.2017.27.2.006
Recommended Citation
Javadi, S. et al. (2017) ‘Measuring Correlated Default Risk: A New Metric and Validity Tests’, The Journal of Fixed Income, 27(2), pp. 6–29. https://doi.org/10.3905/jfi.2017.27.2.006

Comments
Original published version available at doi.org/10.3905/jfi.2017.27.2.006