Estimation and evaluation of the term structure of credit default swaps: An empirical study
Ren-Raw Chen,
Xiaolin Cheng and
Bo Liu
Insurance: Mathematics and Economics, 2008, vol. 43, issue 3, 339-349
Abstract:
Chen, Cheng, Fabozzi and Liu [Chen, Ren-Raw, Cheng, Xiaolin, Fabozzi, Frank, Liu, Bo, 2008. An explicit, multi- factor credit default swap pricing model with correlated factors. J. Financial Quantitative Anal. 43 (1), 123-160] provide an explicit solution to the value of the credit default swap when the interest rate and the hazard rate are correlated. They also provide empirical evidence to support the model with transaction prices. In this paper, we extend their empirical work to study the term structure of CDS spreads by using a matrix CDS dataset from J. P. Morgan Chase. Matrix data contain interpolated prices based on traders' expectations, which are often criticized as being "unreal". However, the benefit of this matrix dataset is that it contains the entire credit spread curves, which allows us to understand the cross-sectional variation of the credit risk. The empirical results show that the parameters of the model are highly significant and it captures most of the cross-sectional as well as time series variation.
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-6687(08)00060-7
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:insuma:v:43:y:2008:i:3:p:339-349
Access Statistics for this article
Insurance: Mathematics and Economics is currently edited by R. Kaas, Hansjoerg Albrecher, M. J. Goovaerts and E. S. W. Shiu
More articles in Insurance: Mathematics and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().