Downturn LGD, Best Estimate of Expected Loss, and Potential LGD under Basel II : Korean Experience
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김명직 | - |
dc.date.accessioned | 2022-12-21T09:51:50Z | - |
dc.date.available | 2022-12-21T09:51:50Z | - |
dc.date.created | 2022-09-19 | - |
dc.date.issued | 2006-11 | - |
dc.identifier.issn | 1226-4261 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/180745 | - |
dc.description.abstract | The Advanced-IRB banks should be able to demonstrate to the regulatory supervisors that the long-run LGDs and downturn LGDs are validated with their own data on historical recovery rates. For defaulted exposures, the CRD (Capital Requirements Directive) requires the use of the best estimate of expected loss (BEEL) and of the potential LGD (PLGD) that reflects possible additional unexpected losses during the recovery period. This paper attempts to provide a concrete illustration of the method that allows one to compute various LGD estimates, particularly the BEEL and PLGD, the latter of which have been often overlooked in the previous studies. The proposed LGD model is essentially the same as the single-factor model developed by such authors as Frye (2000) and Dullmann and Trapp (2004), among others, and is applicable to banks which experience the data scarcity in preparing the adoption of the Advanced-IRB approach. By considering the extreme quantile value of the latent factor implied from the model, this model can also be used to generate stress LGD for a stress testing purpose dictated in Pillar II of the New Accord. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 한양대학교 경제연구소 | - |
dc.title | Downturn LGD, Best Estimate of Expected Loss, and Potential LGD under Basel II : Korean Experience | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 김명직 | - |
dc.identifier.bibliographicCitation | Journal of Economic Research (JER), v.11, no.2, pp.203 - 223 | - |
dc.relation.isPartOf | Journal of Economic Research (JER) | - |
dc.citation.title | Journal of Economic Research (JER) | - |
dc.citation.volume | 11 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 203 | - |
dc.citation.endPage | 223 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001026821 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Advanced-IRB Approach | - |
dc.subject.keywordAuthor | Best Estimate of Expected Loss | - |
dc.subject.keywordAuthor | Downturn LGD | - |
dc.subject.keywordAuthor | Potential LGD | - |
dc.subject.keywordAuthor | Single-Factor Model | - |
dc.identifier.url | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001026821 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.