Implications of alternative operational risk modeling techniques
AbstractQuantification of operational risk has received increased attention with the inclusion of an explicit capital charge for operational risk under the new Basle proposal. The proposal provides significant flexibility for banks to use internal models to estimate their operational risk, and the associated capital needed for unexpected losses. Most banks have used variants of value at risk models that estimate frequency, severity, and loss distributions. This paper examines the empirical regularities in operational loss data. Using loss data from six large internationally active banking institutions, we find that loss data by event types are quite similar across institutions. Furthermore, our results are consistent with economic capital numbers disclosed by some large banks, and also with the results of studies modeling losses using publicly available “external” loss data.
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Bibliographic InfoPaper provided by Federal Reserve Bank of Boston in its series Working Papers with number 1.
Date of creation: 2004
Date of revision:
Other versions of this item:
- Patrick de Fontnouvelle & Eric Rosengren & John Jordan, 2007. "Implications of Alternative Operational Risk Modeling Techniques," NBER Chapters, in: The Risks of Financial Institutions, pages 475-512 National Bureau of Economic Research, Inc.
- Patrick de Fontnouvelle & John Jordan & Eric Rosengren, 2005. "Implications of Alternative Operational Risk Modeling Techniques," NBER Working Papers 11103, National Bureau of Economic Research, Inc.
- G2 - Financial Economics - - Financial Institutions and Services
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-05-23 (All new papers)
- NEP-CFN-2005-05-23 (Corporate Finance)
- NEP-FIN-2005-05-23 (Finance)
- NEP-RMG-2005-05-23 (Risk Management)
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