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! ]

Risk Transfer with CDOs

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Jan Pieter Krahnen ()
Christian Wilde ()

Additional information is available for the following registered author(s):

Abstract

Modern bank management comprises both classical lending business and transfer of asset risk to capital markets through securitization. Sound knowledge of the risks involved in securitization transactions is a prerequisite for solid risk management. This paper aims to resolve a part of the opaqueness surrounding credit-risk allocation to tranches that represent claims of different seniority on a reference portfolio. In particular, this paper analyzes the allocation of credit risk to different tranches of a CDO transaction when the underlying asset returns are driven by a common macro factor and an idiosyncratic component. Junior and senior tranches are found to be nearly orthogonal, motivating a search for the where about of systematic risk in CDO transactions. We propose a metric for capturing the allocation of systematic risk to tranches. First, in contrast to a widely-held claim, we show that (extreme) tail risk in standard CDO transactions is held by all tranches. While junior tranches take on all types of systematic risk, senior tranches take on almost no non-tail risk. This is in stark contrast to an untranched bond portfolio of the same rating quality, which on average suffers substantial losses for all realizations of the macro factor. Second, given tranching, a shock to the risk of the underlying asset portfolio (e.g. a rise in asset correlation or in mean portfolio loss) has the strongest impact, in relative terms, on the exposure of senior tranche CDO-investors. Our findings can be used to explain major stylized facts observed in credit markets.

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 page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.finance.uni-frankfurt.de/wp/1652.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Department of Finance, Goethe University Frankfurt am Main in its series Working Paper Series: Finance and Accounting with number 187.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Apr 2008
Date of revision:
Handle: RePEc:fra:franaf:187

Contact details of provider:
Postal: Senckenberganlage 31, 60054 Frankfurt
Phone: 0049-69-798-28269
Fax: 0049-69-798-28272
Web page: http://www.finance.uni-frankfurt.de
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Reinhard H. Schmidt).

Related research
Keywords:

Other versions of this item:

Find related papers by JEL classification:
G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Mortgages
G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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. 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!]
  2. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Practical Volatility and Correlation Modeling for Financial Market Risk Management," PIER Working Paper Archive 05-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania. [Downloadable!]
    Other versions:
  3. Peter M. DeMarzo, 2005. "The Pooling and Tranching of Securities: A Model of Informed Intermediation," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 18(1), pages 1-35. [Downloadable!] (restricted)
  4. Gunter Franke & Jan Pieter Krahnen, 2007. "Default Risk Sharing between Banks and Markets: The Contribution of Collateralized Debt Obligations," NBER Chapters, in: The Risks of Financial Institutions, pages 603-634 National Bureau of Economic Research, Inc. [Downloadable!]
    Other versions:
Full references

Cited by:
(explanations, 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. Gann, Philipp, 2009. "Liquidität, Risikoeinstellung des Kapitalmarktes und Konjunkturerwartung als Preisdeterminanten von Collateralized Debt Obligations (CDOs) - Eine simulationsgestützte Analyse," Discussion Papers in Business Administration 10582, University of Munich, Munich School of Management. [Downloadable!]
  2. Francis A. Longstaff & Brett Myers, 2009. "Valuing Toxic Assets: An Analysis of CDO Equity," NBER Working Papers 14871, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Scholz, Julia, 2009. "Collateralized Debt Obligations: Anreizprobleme im Rahmen des Managements von CDOs," Discussion Papers in Business Administration 10999, University of Munich, Munich School of Management.
  4. Hänsel, Dennis N. & Bannier, Christina E., 2008. "Determinants of European banks' engagement in loan securitization," Discussion Paper Series 2: Banking and Financial Studies 2008,10, Deutsche Bundesbank, Research Centre. [Downloadable!]
Statistics
Access and download statistics

Did you know? Citation analysis on IDEAS includes online papers that are freely accessible and whose text could be automatically analyzed, currently about 210000 papers.

This page was last updated on 2009-12-7.


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.