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Introduction to Credit Risk Modeling
Taschenbuch von Christian Bluhm (u. a.)
Sprache: Englisch

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Beschreibung
While continuing to focus on common mathematical approaches to model credit portfolios, this second edition presents updates on model developments that have occurred since the publication of the best-selling first edition. It contains a new section on multi-period models and discusses recent developments in structured credit. Along with many wor
While continuing to focus on common mathematical approaches to model credit portfolios, this second edition presents updates on model developments that have occurred since the publication of the best-selling first edition. It contains a new section on multi-period models and discusses recent developments in structured credit. Along with many wor
Über den Autor

Over the years, Christian Bluhm has worked for Deutsche Bank, McKinsey, HypoVereinsbank's Group Credit Portfolio Management, and Credit Suisse. He earned a Ph.D. in mathematics from the University of Erlangen-Nürnberg.

Ludger Overbeck is a professor of probability theory and quantitative finance and risk management in the Institute of Mathematics at the University of Giessen. During his career, he worked for Deutsche Bundesbank, Deutsche Bank, HypoVereinsbank/UniCredit, DZBank, and Commerzbank. He earned a Ph.D. in mathematics from the University of Bonn.

Christoph Wagner has worked for Deutsche Bank, Allianz Group Center, UniCredit/HypoVereinsbank, and Allianz Risk Transfer. He earned a Ph.D. in statistical physics from the Technical University of Munich.

Inhaltsverzeichnis

The Basics of Credit Risk Management. Modeling Correlated Defaults. Asset Value Models. The CreditRisk+ Model. Risk Measures and Capital Allocation. Term Structure of Default Probability. Credit Derivatives. Collateralized Debt Obligations. References. Index.

Details
Erscheinungsjahr: 2024
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032920795
ISBN-10: 1032920793
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Bluhm, Christian
Overbeck, Ludger
Wagner, Christoph
Auflage: 2nd edition
Hersteller: CRC Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 25 x 152 x 241 mm
Von/Mit: Christian Bluhm (u. a.)
Erscheinungsdatum: 14.10.2024
Gewicht: 0,544 kg
Artikel-ID: 129951096
Über den Autor

Over the years, Christian Bluhm has worked for Deutsche Bank, McKinsey, HypoVereinsbank's Group Credit Portfolio Management, and Credit Suisse. He earned a Ph.D. in mathematics from the University of Erlangen-Nürnberg.

Ludger Overbeck is a professor of probability theory and quantitative finance and risk management in the Institute of Mathematics at the University of Giessen. During his career, he worked for Deutsche Bundesbank, Deutsche Bank, HypoVereinsbank/UniCredit, DZBank, and Commerzbank. He earned a Ph.D. in mathematics from the University of Bonn.

Christoph Wagner has worked for Deutsche Bank, Allianz Group Center, UniCredit/HypoVereinsbank, and Allianz Risk Transfer. He earned a Ph.D. in statistical physics from the Technical University of Munich.

Inhaltsverzeichnis

The Basics of Credit Risk Management. Modeling Correlated Defaults. Asset Value Models. The CreditRisk+ Model. Risk Measures and Capital Allocation. Term Structure of Default Probability. Credit Derivatives. Collateralized Debt Obligations. References. Index.

Details
Erscheinungsjahr: 2024
Fachbereich: Allgemeines
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781032920795
ISBN-10: 1032920793
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Bluhm, Christian
Overbeck, Ludger
Wagner, Christoph
Auflage: 2nd edition
Hersteller: CRC Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 25 x 152 x 241 mm
Von/Mit: Christian Bluhm (u. a.)
Erscheinungsdatum: 14.10.2024
Gewicht: 0,544 kg
Artikel-ID: 129951096
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