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! ]

Capital and risk: new evidence on implications of large operational losses

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Patrick de Fontnouvelle
Virginia DeJesus-Rueff
John Jordan
Eric Rosengren

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

Abstract

Operational risk is currently receiving significant media attention, as financial scandals have appeared regularly and multiple events have exceeded one billion dollars in total impact. Regulators have also been devoting attention to this risk, and are finalizing proposals that would require banks to hold capital for potential operational losses. This paper uses newly available loss data to model operational risk at internationally active banks. Our results suggest that the amount of capital held for operational risk will often exceed capital held for market risk, and that the largest banks could choose to allocate several billion dollars in capital to operational risk. In addition to capital allocation decisions, our findings should have a direct impact on the compensation and investment models used by large firms, as well as on the optimal allocation of risk management resources.

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.bos.frb.org/economic/wp/wp2003/wp035.htm
File Format: text/html
File Function:
Download Restriction: no
File URL: http://www.bos.frb.org/economic/wp/wp2003/wp035.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Federal Reserve Bank of Boston in its series Working Papers with number 03-5.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: 2003
Date of revision:
Handle: RePEc:fip:fedbwp:03-5

Contact details of provider:
Postal: 600 Atlantic Avenue, Boston, Massachusetts 02210
Phone: 617-973-3397
Fax: 617-973-4221
Email:
Web page: http://www.bos.frb.org/
More information through EDIRC

Order Information:
Email:

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

Related research
Keywords: Risk management ; Bank capital;

Other versions of this item:

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. Matthew Pritsker, 1997. "Evaluating Value at Risk Methodologies: Accuracy versus Computational Time," Journal of Financial Services Research, Springer, vol. 12(2), pages 201-242, October. [Downloadable!] (restricted)
  2. Con Keating & Hyun Song Shin & Charles Goodhart & Jon Danielsson, 2001. "An Academic Response to Basel II," FMG Special Papers sp130, Financial Markets Group. [Downloadable!] (restricted)
  3. Darryll Hendricks, 1996. "Evaluation of value-at-risk models using historical data," Economic Policy Review, Federal Reserve Bank of New York, issue Apr, pages 39-69. [Downloadable!]
  4. Jeremy Berkowitz & James O'Brien, 2002. "How Accurate Are Value-at-Risk Models at Commercial Banks?," Journal of Finance, American Finance Association, vol. 57(3), pages 1093-1111, 06. [Downloadable!] (restricted)
  5. Darryll Hendricks, 1996. "Evaluation of value-at-risk models using historical data," Proceedings, Federal Reserve Bank of Chicago, issue May, pages 334-362.
  6. Mark Carey, 1998. "Credit Risk in Private Debt Portfolios," Journal of Finance, American Finance Association, vol. 53(4), pages 1363-1387, 08. [Downloadable!] (restricted)
  7. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61. [Downloadable!] (restricted)
  8. Eva Catarineu-Rabell & Patricia Jackson & Dimitrios P. Tsomocos, 2002. "Procyclicality and the New Basel Accord: banks' choice of loan rating system," Conference Series ; [Proceedings], Federal Reserve Bank of Boston. [Downloadable!]
    Other versions:
  9. Christopher James, 1996. "RAROC Based Capital Budgeting and Performance Evaluation: A Case Study of Bank Capital Allocation," Center for Financial Institutions Working Papers 96-40, Wharton School Center for Financial Institutions, University of Pennsylvania. [Downloadable!]
  10. Xavier Gabaix, 1999. "Zipf'S Law For Cities: An Explanation," The Quarterly Journal of Economics, MIT Press, vol. 114(3), pages 739-767, August. [Downloadable!] (restricted)
  11. Beverly J. Hirtle, 2003. "What market risk capital reporting tells us about bank risk," Economic Policy Review, Federal Reserve Bank of New York, issue Sep, pages 37-54. [Downloadable!]
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. Linda Allen & Anthony Saunders, 2004. "Incorporating Systemic Influences Into Risk Measurements: A Survey of the Literature," Journal of Financial Services Research, Springer, vol. 26(2), pages 161-191, October. [Downloadable!] (restricted)
Statistics
Access and download statistics

Did you know? LogEc provides statistical analysis about downloads from this service (and others).

This page was last updated on 2009-10-29.


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.