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

Civil Engineering

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