CreditRisk+ in the Banking Industry

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Last edited by MARC Bot
September 28, 2024 | History

CreditRisk+ in the Banking Industry

  • 1 Want to read

CreditRisk+ is an important and widely implemented default-mode model of portfolio credit risk, based on a methodology borrowed from actuarial mathematics. This book gives an account of the status quo as well as of new and recent developments of the credit risk model CreditRisk+, which is widely used in the banking industry. It gives an introduction to the model itself and to its ability to describe, manage and price credit risk. The book is intended for an audience of practitioners in banking and finance, as well as for graduate students and researchers in the field of financial mathematics and banking. It contains carefully refereed contributions from experts in the field, selected for mutual consistency and edited for homogeneity of style, notation, etc. The discussion ranges from computational methods and extensions for special forms of credit business to statistical calibrations and practical implementations. This unique and timely book constitutes an indispensable tool for both practitioners and academics working in the evaluation of credit risk.

Publish Date
Language
English
Pages
369

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Previews available in: English

Edition Availability
Cover of: CreditRisk+ in the Banking Industry
CreditRisk+ in the Banking Industry
2004, Springer Berlin Heidelberg
electronic resource / in English

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Book Details


Table of Contents

Introduction
Basics of CreditRisk+
Capital Allocation with CreditRisk+
Risk Factor Transformations Relating CreditRisk+and CreditMetrics
Numerically Stable Computation of CreditRisk+
Enhanced CreditRisk+
Saddlepoint Approximation
Fourier Inversion Techniques for CreditRisk+
Incorporating Default Correlations and Severity Variations
Dependent Risk Factors
Integrating Rating Migrations
An Analytic Approach to Rating Transitions
Dependent Sectors and an Extension to Incorporate Market Risk
Econometric Methods for Sector Analysis
Estimation of Sector Weights from Real-World Data
Risk-Return Analysis of Credit Portfolios
Numerical Techniques for Determining and Allocating Portfolio Credit Risk
Some Remarks on the Analysis of Asset Backed Securities
Pricing and Hedging of Structured Credit Derivatives
Index.

Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Berlin, Heidelberg
Series
Springer Finance, Springer Finance

Classifications

Dewey Decimal Class
519
Library of Congress
HB135-147, HG1-HG9999

The Physical Object

Format
[electronic resource] /
Pagination
1 online resource (xii, 369 p.)
Number of pages
369

ID Numbers

Open Library
OL27027936M
Internet Archive
creditrisksupcla00gund
ISBN 10
364205854X, 3662064278
ISBN 13
9783642058547, 9783662064276
OCLC/WorldCat
851382099

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History

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September 28, 2024 Edited by MARC Bot import existing book
December 25, 2021 Edited by ImportBot import existing book
June 29, 2019 Created by MARC Bot import new book