Collateralized Debt Obligations: A Moment Matching Pricing Technique based on Copula Functions: BestMasters
Autor Enrico Marcantonien Limba Engleză Paperback – 3 feb 2014
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Specificații
ISBN-13: 9783658048457
ISBN-10: 365804845X
Pagini: 112
Ilustrații: XV, 95 p. 14 illus.
Dimensiuni: 148 x 210 x 6 mm
Greutate: 0.15 kg
Ediția:2014
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Gabler
Seria BestMasters
Locul publicării:Wiesbaden, Germany
ISBN-10: 365804845X
Pagini: 112
Ilustrații: XV, 95 p. 14 illus.
Dimensiuni: 148 x 210 x 6 mm
Greutate: 0.15 kg
Ediția:2014
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Gabler
Seria BestMasters
Locul publicării:Wiesbaden, Germany
Public țintă
ResearchCuprins
CDO: General Characteristics.- Credit Risk Modeling.- Copula Functions and Dependency Concepts.- Moment Matching Approximation.- Extensions to the Model.- Implementation.
Notă biografică
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).
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
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).
Contents
- CDO: General Characteristics
- Credit Risk Modeling
- Copula Functions and Dependency Concepts
- Moment Matching Approximation
- Extensions to the Model
- Implementation
- Researchers in the field of Finance
- Practitioners of Financial Institutions
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