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<電子ブック>
Concentration Risk in Credit Portfolios / by Eva Lütkebohmert
(EAA Series. ISSN:18696937)

1st ed. 2009.
出版者 (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年 2009
本文言語 英語
大きさ XVIII, 226 p. 17 illus : online resource
著者標目 *Lütkebohmert, Eva author
SpringerLink (Online service)
件 名 LCSH:Social sciences -- Mathematics  全ての件名で検索
FREE:Mathematics in Business, Economics and Finance
一般注記 to Credit Risk Modeling -- Risk Measurement -- Modeling Credit Risk -- The Merton Model -- The Asymptotic Single Risk Factor Model -- Mixture Models -- The CreditRisk+ Model -- Concentration Risk in Credit Portfolios -- Ad-Hoc Measures of Concentration -- Name Concentration -- Sector Concentration -- Empirical Studies on Concentration Risk -- Default Contagion -- Empirical Studies on Default Contagion -- Models Based on Copulas -- A Voter Model for Credit Contagion -- Equilibrium Models
Modeling and management of credit risk are the main topics within banks and other lending institutions. Historical experience shows that, in particular, concentration of risk in credit portfolios has been one of the major causes of bank distress. Therefore, concentration risk is highly relevant to anyone who wants to go beyond the very basic portfolio credit risk models. The book gives an introduction to credit risk modeling with the aim to measure concentration risks in credit portfolios. Taking the basic principles of credit risk in general as a starting point, several industry models are studied. These allow banks to compute a probability distribution of credit losses at the portfolio level. Besides these industry models the Internal Ratings Based model, on which Basel II is based, is treated. On the basis of these models various methods for the quantification of name and sector concentration risk and the treatment of default contagion are discussed. The book reflects current research in these areas from both an academic and a supervisory perspective
HTTP:URL=https://doi.org/10.1007/978-3-540-70870-4
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Springer eBooks 9783540708704
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データ種別 電子ブック
分 類 LCC:H61.25
DC23:519
書誌ID 4000116960
ISBN 9783540708704

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