Modelling German Covered Bonds

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Details

Manuela Spangler deals with the default risk modelling of German covered bonds (Pfandbriefe). Existing credit risk models are not suitable for this purpose as they only consider the creditworthiness of the issuer while product-specific features are not taken into account. The author develops a multi-period simulation-based Pfandbrief model which adequately accounts for the product's most important characteristics and risks. The model provides a flexible framework for structural analyses and can be easily extended for tailor-made investigations. While the focus of the work is on the specification of the model itself, simulation results from an exemplary model calibration are also discussed.

About the Author

Manuela Spangler works as a quantitative risk analyst for a large asset management company and holds a PhD in mathematics from the University of Augsburg. Prior to her current position, she worked as a risk manager and financial engineer in the banking and insurance sector for various years.


A flexible model for tailor-made analyses

Autorentext

Manuela Spangler works as a quantitative risk analyst for a large asset management company and holds a PhD in mathematics from the University of Augsburg. Prior to her current position, she worked as a risk manager and financial engineer in the banking and insurance sector for various years.


Inhalt
Pfandbrief Characteristics.- Credit Risk Models: A Literature Review.- The Pfandbrief Model.- Model Calibration and Scenario Generation.- Simulation Results.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783658239145
    • Sprache Englisch
    • Auflage 2018
    • Größe H211mm x B17mm x T150mm
    • Jahr 2018
    • EAN 9783658239145
    • Format Kartonierter Einband
    • ISBN 978-3-658-23914-5
    • Titel Modelling German Covered Bonds
    • Autor Manuela Spangler
    • Untertitel Mathematische Optimierung und Wirtschaftsmathematik - Mathematical Optimization
    • Gewicht 371g
    • Herausgeber Springer-Verlag GmbH
    • Anzahl Seiten 266
    • Lesemotiv Verstehen
    • Genre Mathematik

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