Analytic Correlation Risk for CDS. Issue 115 (23rd September 2021)
- Record Type:
- Journal Article
- Title:
- Analytic Correlation Risk for CDS. Issue 115 (23rd September 2021)
- Main Title:
- Analytic Correlation Risk for CDS
- Authors:
- Turfus, Colin
- Abstract:
- Abstract : We consider a rates credit hybrid model with the rates and the credit intensity governed by Hull‐White and Black‐Karasinski short‐rate models, respectively. We report on and make use of a highly accurate analytic representation of a pricing kernel for European‐style options and/or protection payments in powers of the credit spread (not of its lognormal volatility). We show how this can be applied to calculate analytically the impact of rates credit correlation on the pricing of credit default swaps (CDS), extinguishing interest rate swaps, and survival‐contingent capped LIBOR flows. Very simple expressions are obtained in all cases for present values (PVs). Highly favorable comparison is found between even the first‐order approximations and Monte Carol simulation.
- Is Part Of:
- Wilmott. Volume 2021:Issue 115(2021)
- Journal:
- Wilmott
- Issue:
- Volume 2021:Issue 115(2021)
- Issue Display:
- Volume 2021, Issue 115 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 115
- Issue Sort Value:
- 2021-2021-0115-0000
- Page Start:
- 58
- Page End:
- 63
- Publication Date:
- 2021-09-23
- Subjects:
- pricing kernel -- credit derivatives -- analytic solution -- asymptotic expansion -- perturbation analysis -- Hull‐White -- Black‐Karasinski -- short‐rate model -- hybrid model -- credit default swap -- extinguishing rate swap
Finance -- Periodicals
Financial services industry -- Periodicals
332 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1541-8286 ↗
http://www.wilmott.com ↗ - DOI:
- 10.1002/wilm.10957 ↗
- Languages:
- English
- ISSNs:
- 1540-6962
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 19498.xml