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How correlation risk in basket credit derivatives might be priced and managed?

Authors :
Feng-Hui Yu
Jia-Wen Gu
Dong-Mei Zhu
Wai-Ki Ching
Tak Kuen Siu
Source :
IMA Journal of Management Mathematics. 32:195-219
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

In this paper, we construct quantitative models in which the dependence structure of the firms’ default times is incorporated. Such models serve as the underlying frameworks in our proposed approach to price and hedge basket credit derivatives. Through the Gaussian copula-based method, we model the default correlation risk and develop valuation formulas for credit derivatives. Using single-name derivatives in a hedging strategy for basket credit derivatives, the utility of the delta and delta-gamma hedging techniques are examined. This enables the management of risk attributed to the changes in correlation without the need for a large number of hedging instruments. Our research contributions provide insights on how dependent risks in basket credit derivatives could be dealt with effectively.

Details

ISSN :
14716798 and 1471678X
Volume :
32
Database :
OpenAIRE
Journal :
IMA Journal of Management Mathematics
Accession number :
edsair.doi...........e76385b97a34f2cc1be37eb8363fed88