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MARC Record from Library of Congress

Record ID marc_loc_updates/v35.i16.records.utf8:23043405:2682
Source Library of Congress
Download Link /show-records/marc_loc_updates/v35.i16.records.utf8:23043405:2682?format=raw

LEADER: 02682nam a22003017a 4500
001 2007615247
003 DLC
005 20070412171926.0
007 cr |||||||||||
008 070412s2006 dcu sb f000 0 eng
010 $a 2007615247
040 $aDLC$cDLC
050 00 $aHG2401
100 1 $aEl-Gamal, Mahmoud A.,$d1963-
245 10 $aMultivariate estimation for operational risk with judicious use of extreme value theory$h[electronic resource] /$cby Mahmoud El-Gamal, Hulusi Inanoglu, and Mitch Stengel.
260 $aWashington, DC :$bOffice of the Comptroller of the Currency,$c[2006]
490 1 $aEconomic and policy analysis working paper ;$v2006-3
538 $aSystem requirements: Adobe Acrobat Reader.
538 $aMode of access: World Wide Web.
500 $aTitle from PDF file as viewed on 4/12/2007.
530 $aAlso available in print.
504 $aIncludes bibliographical references.
520 3 $a"The Basel II Accord requires participating banks to quantify operational risk according to a matrix of business lines and event types. Proper modeling of univariate loss distributions and dependence structures across those categories of operational losses is critical for proper assessment of overall annual operational loss distributions. We illustrate our proposed methodology using Loss Data Collection Exercise 2004 (LDCE 2004) data on operational losses across five loss event types. We estimate a multivariate likelihood-based statistical model, which illustrates the benefits and risks of using extreme value theory (EVT) in modeling univariate tails of event type loss distributions. We find that abandoning EVT leads to unacceptably low estimates of risk capital requirements, while indiscriminate use of EVT to all data leads to unacceptably high ones. The judicious middle approach is to use EVT where dictated by data, and after separating clear outliers that need to be modeled via probabilistic scenario analysis. We illustrate all computational steps in estimation of marginal distributions and copula with an application to one bank's data (disguising magnitudes to ensure that bank's anonymity). The methods we use to overcome heretofore unexplored technical problems in estimation of codependence across risk types scales easily to larger models, encompassing not only operational, but also other types of risks"--Office of the Comptroller of the Currency web site.
700 1 $aInanoglu, Hulusi.
700 1 $aStengel, Mitch.
710 1 $aUnited States.$bOffice of the Comptroller of the Currency.
830 0 $aEconomic and policy analysis working paper (2000 : Online) ;$v2006-3.
856 40 $uhttp://www.occ.treas.gov/wp2006-3.htm