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Basket Credit Derivative Pricing in a Markov Chain Model with Interacting Intensities
Joint Authors
Guo, Jie
Zhi, Kangquan
Qian, Xiaosong
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-17
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
In this paper, we propose a Markov chain model to price basket credit default swap (BCDS) and basket credit-linked note (BCLN) with counterparty and contagion risks.
Suppose that the default intensity processes of reference entities and the counterparty are driven by a common external shock as well as defaults of other names in the contracts.
The stochastic intensity of the external shock is a Cox process with jumps.
We derive recursive formulas for the joint distribution of default times and obtain closed-form premium rates for BCDS and BCLN.
Numerical experiments are performed to show how the correlated default risks may affect the premium rates.
American Psychological Association (APA)
Zhi, Kangquan& Guo, Jie& Qian, Xiaosong. 2020. Basket Credit Derivative Pricing in a Markov Chain Model with Interacting Intensities. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1195893
Modern Language Association (MLA)
Zhi, Kangquan…[et al.]. Basket Credit Derivative Pricing in a Markov Chain Model with Interacting Intensities. Mathematical Problems in Engineering No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1195893
American Medical Association (AMA)
Zhi, Kangquan& Guo, Jie& Qian, Xiaosong. Basket Credit Derivative Pricing in a Markov Chain Model with Interacting Intensities. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1195893
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195893