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Collateralized Debt Obligations

Autor Enrico Marcantoni
en Limba Engleză Paperback – 3 feb 2014
The author focuses on a method to price Collateralized Debt Obligations (CDO) tranches. The original method is developed by Castagna, Mercurio and Mosconi in 2012. The Thesis provides an extension of the original work by generalizing the Gaussian dependence in terms of Copula functions. In particular the model is rewritten for the specific case of the Clayton copula. The method is applied to price the tranches of a CDX. By comparing the tranches prices, it is possible to notice that the Clayton approach leads to smaller equity and mezzanine tranches. The senior and super senior tranches levels are higher when the dependence is modeled by a Clayton copula.
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Livrare economică 29 mai-12 iunie


Specificații

ISBN-13: 9783658048457
ISBN-10: 365804845X
Pagini: 112
Ilustrații: XV, 95 p. 14 illus.
Dimensiuni: 148 x 210 x 7 mm
Greutate: 0.16 kg
Ediția:2014
Editura: SPRINGER VIEWEG
Locul publicării:Wiesbaden, Germany

Public țintă

Research

Cuprins

CDO: General Characteristics.- Credit Risk Modeling.- Copula Functions and Dependency Concepts.- Moment Matching Approximation.- Extensions to the Model.- Implementation.

Textul de pe ultima copertă

The author focuses on a method to price Collateralized Debt Obligations (CDO) tranches. The original method is developed by Castagna, Mercurio and Mosconi in 2012. The Thesis provides an extension of the original work by generalizing the Gaussian dependence in terms of Copula functions. In particular the model is rewritten for the specific case of the Clayton copula. The method is applied to price the tranches of a CDX. By comparing the tranches prices, it is possible to notice that the Clayton approach leads to smaller equity and mezzanine tranches. The senior and super senior tranches levels are higher when the dependence is modeled by a Clayton copula.
Contents
  • CDO: General Characteristics
  • Credit Risk Modeling
  • Copula Functions and Dependency Concepts
  • Moment Matching Approximation
  • Extensions to the Model
  • Implementation
Target Groups
  • Researchers in the field of Finance
  • Practitioners of Financial Institutions
The Author
Enrico Marcantoni obtained his Master Degree in Quantitative Finance at the University of Bologna  (Italy) taking part in a Double Degree Program  in collaboration  with the Master in Quantitative Asset and Risk Management at the University of Applied Sciences (bfi) Vienna (Austria).

Caracteristici

Study in the field of economic sciences Includes supplementary material: sn.pub/extras