Implication of alternative operational risk modeling techniques:
"Quantification 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 ass...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cambridge, Mass.
National Bureau of Economic Research
2005
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Schriftenreihe: | National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series
11103 |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "Quantification 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"--National Bureau of Economic Research web site. |
Beschreibung: | 30, [15] S. graph. Darst. |
Internformat
MARC
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490 | 1 | |a National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series |v 11103 | |
520 | 3 | |a "Quantification 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"--National Bureau of Economic Research web site. | |
650 | 4 | |a Bank | |
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Datensatz im Suchindex
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author | Fontnouvelle, Patrick de Jordan, John Rosengren, Eric S. |
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id | DE-604.BV023591317 |
illustrated | Illustrated |
index_date | 2024-07-02T22:41:28Z |
indexdate | 2024-07-09T21:25:10Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016906647 |
oclc_num | 57895505 |
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owner | DE-521 DE-19 DE-BY-UBM |
owner_facet | DE-521 DE-19 DE-BY-UBM |
physical | 30, [15] S. graph. Darst. |
publishDate | 2005 |
publishDateSearch | 2005 |
publishDateSort | 2005 |
publisher | National Bureau of Economic Research |
record_format | marc |
series | National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series |
series2 | National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series |
spelling | Fontnouvelle, Patrick de Verfasser (DE-588)130456667 aut Implication of alternative operational risk modeling techniques Patrick de Fontnouvelle ; John Jordan ; Eric Rosengren Cambridge, Mass. National Bureau of Economic Research 2005 30, [15] S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series 11103 "Quantification 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"--National Bureau of Economic Research web site. Bank Ökonometrisches Modell Banks and banking Econometric models Jordan, John Verfasser (DE-588)130456683 aut Rosengren, Eric S. Verfasser (DE-588)130456756 aut Erscheint auch als Online-Ausgabe National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series 11103 (DE-604)BV002801238 11103 http://papers.nber.org/papers/w11103.pdf kostenfrei Volltext |
spellingShingle | Fontnouvelle, Patrick de Jordan, John Rosengren, Eric S. Implication of alternative operational risk modeling techniques National Bureau of Economic Research <Cambridge, Mass.>: NBER working paper series Bank Ökonometrisches Modell Banks and banking Econometric models |
title | Implication of alternative operational risk modeling techniques |
title_auth | Implication of alternative operational risk modeling techniques |
title_exact_search | Implication of alternative operational risk modeling techniques |
title_exact_search_txtP | Implication of alternative operational risk modeling techniques |
title_full | Implication of alternative operational risk modeling techniques Patrick de Fontnouvelle ; John Jordan ; Eric Rosengren |
title_fullStr | Implication of alternative operational risk modeling techniques Patrick de Fontnouvelle ; John Jordan ; Eric Rosengren |
title_full_unstemmed | Implication of alternative operational risk modeling techniques Patrick de Fontnouvelle ; John Jordan ; Eric Rosengren |
title_short | Implication of alternative operational risk modeling techniques |
title_sort | implication of alternative operational risk modeling techniques |
topic | Bank Ökonometrisches Modell Banks and banking Econometric models |
topic_facet | Bank Ökonometrisches Modell Banks and banking Econometric models |
url | http://papers.nber.org/papers/w11103.pdf |
volume_link | (DE-604)BV002801238 |
work_keys_str_mv | AT fontnouvellepatrickde implicationofalternativeoperationalriskmodelingtechniques AT jordanjohn implicationofalternativeoperationalriskmodelingtechniques AT rosengrenerics implicationofalternativeoperationalriskmodelingtechniques |