This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Credit derivatives and risk management

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Michael S. Gibson
Abstract

The striking growth of credit derivatives suggests that market participants find them to be useful tools for risk management. I illustrate the value of credit derivatives with three examples. A commercial bank can use credit derivatives to manage the risk of its loan portfolio. An investment bank can use credit derivatives to manage the risks it incurs when underwriting securities. An investor, such as an insurance company, asset manager, or hedge fund, can use credit derivatives to align its credit risk exposure with its desired credit risk profile.> However, credit derivatives pose risk management challenges of their own. I discuss five of these challenges. Credit derivatives can transform credit risk in intricate ways that may not be easy to understand. They can create counterparty credit risk that itself must be managed. Complex credit derivatives rely on complex models, leading to model risk. Credit rating agencies interpret this complexity for investors, but their ratings can be misunderstood, creating rating agency risk. The settlement of a credit derivative contract following a default can have its own complications, creating settlement risk. For the credit derivatives market to continue its rapid growth, market participants must meet these risk management challenges.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.federalreserve.gov/pubs/feds/2007/200747/200747abs.html
File Format: text/html
File Function:
Download Restriction: no
File URL: http://www.federalreserve.gov/pubs/feds/2007/200747/200747pap.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 2007-47.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: 2007
Date of revision:
Handle: RePEc:fip:fedgfe:2007-47

Contact details of provider:
Postal: 20th Street and Constitution Avenue, NW, Washington, DC 20551
Web page: http://www.federalreserve.gov/
More information through EDIRC

Order Information:
Web: http://www.federalreserve.gov/pubs/feds/fedsorder.html

For technical questions regarding this item, or to correct its listing, contact: (Diane Rosenberger).

Related research
Keywords: Risk management Credit derivatives

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Klemperer, Paul, 2002. "How (Not) to Run Auctions: The European 3G Telecom Auctions," CEPR Discussion Papers 3215, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  2. Michael S. Gibson, 2004. "Understanding the risk of synthetic CDOs," Finance and Economics Discussion Series 2004-36, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
Full references

Statistics
Access and download statistics

Did you know? IDEAS was launched in September 1997.

This page was last updated on 2008-7-23.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.