rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: Basel II Risk Parameters
    sub title: Estimation, Validation, and Stress Testing
  name:
    name part: Engelmann, Bernd.
    role:
      role term: editor.
  name:
    name part: Rauhmeier, Robert.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 376 p. online resource.
  abstract: In the last decade the banking industry has experienced a significant development in the understanding of credit risk. Refined methods were proposed concerning the estimation of key risk parameters like default probabilities. Further, a large v- ume of literature on the pricing and measurement of credit risk in a portfolio c- text has evolved. This development was partly reflected by supervisors when they agreed on the new revised capital adequacy framework, Basel II. Under Basel II, the level of regulatory capital depends on the risk characteristics of each credit while a portfolio context is still neglected. The focus of this book is on the estimation and validation of the three key Basel II risk parameters, probability of default (PD), loss given default (LGD), and ex- sure at default (EAD). Since the new regulatory framework will become operative in January 2007 (at least in Europe), many banks are in the final stages of imp- mentation. Many questions have arisen during the implementation phase and are discussed by practitioners, supervisors, and academics. A ‘best practice’ approach has to be formed and will be refined in the future even beyond 2007. With this book we aim to contribute to this process. Although the book is inspired by the new capital framework, we hope that it is valuable in a broader context. The three risk parameters are central inputs to credit portfolio models or credit pricing al- rithms and their correct estimation is therefore essential for internal bank contr- ling and management.
  table of contents: Statistical Methods to Develop Rating Models -- Estimation of a Rating Model for Corporate Exposures -- Scoring Models for Retail Exposures -- The Shadow Rating Approach — Experience from Banking Practice -- Estimating Probabilities of Default for Low Default Portfolios -- A Multi-Factor Approach for Systematic Default and Recovery Risk -- Modelling Loss Given Default: A “Point in Time”-Approach -- Estimating Loss Given Default — Experiences from Banking Practice -- Overview of EAD Estimation Concepts -- EAD Estimates for Facilities with Explicit Limits -- Validation of Banks’ Internal Rating Systems - A Supervisory Perspective -- Measures of a Rating’s Discriminative Power — Applications and Limitations -- Statistical Approaches to PD Validation -- PD-Validation — Experience from Banking Practice -- Development of Stress Tests for Credit Portfolios.
  note: edited by Bernd Engelmann, Robert Rauhmeier.
  subject:
    topic: Finance
  subject:
    topic: Management
  subject:
    topic: Economics, Mathematical
  subject:
    topic: Econometrics
  subject:
    topic: Finance
  subject:
    topic: Finance, general
  subject:
    topic: Management
  subject:
    topic: Quantitative Finance
  subject:
    topic: Econometrics
  classification: HG1-HG9999
  classification: 332
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783540330875
  identifier: http://dx.doi.org/10.1007/3-540-33087-9
  record info:
    record creation date: 100301
    record change date: 20151204183959.0
    record identifier: 978-3-540-33087-5