CVA pricing for commodities with WWR
A calculation of CVA integrating a commodity futures exposure with probability of an event under WWR and credit downgrades
Click here to view the PDF
This article focuses on calculating credit valuation adjustment (CVA) for commodity futures with wrong-way risk (WWR) and counterparty credit deterioration simultaneously. Kelin Pan presents an analytical expression that calculates CVA using integration of a commodity futures exposure and the conditional probability of a credit event under WWR and credit downgrades
The commodity futures price is one of the key market factors in valuing counterparty credit risk (CCR)
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact [email protected] or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact [email protected] to find out more.
You are currently unable to copy this content. Please contact [email protected] to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email [email protected]
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email [email protected]
More on Commodities
Risk Management
After bruising EU model review, banks ask: ‘Why bother?’
Post-Trim changes erode capital savings from internal models while raising their running costs
Receive this by email