Pricing Portfolio Credit Derivatives by Means of Evolutionary Algorithms
Autor Svenja Hager Cuvânt înainte de Prof. Dr.-Ing. Rainer Schöbelen Limba Engleză Paperback – 26 mar 2008
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Specificații
ISBN-13: 9783834909152
ISBN-10: 3834909157
Pagini: 187
Ilustrații: XXVII, 160 p.
Dimensiuni: 148 x 210 x 10 mm
Greutate: 0.26 kg
Ediția:2008
Editura: Gabler Verlag
Colecția Gabler Verlag
Locul publicării:Wiesbaden, Germany
ISBN-10: 3834909157
Pagini: 187
Ilustrații: XXVII, 160 p.
Dimensiuni: 148 x 210 x 10 mm
Greutate: 0.26 kg
Ediția:2008
Editura: Gabler Verlag
Colecția Gabler Verlag
Locul publicării:Wiesbaden, Germany
Public țintă
ResearchCuprins
Collateralized Debt Obligations: Structure and Valuation.- Explaining the Implied Correlation Smile.- Optimization by Means of Evolutionary Algorithms.- Evolutionary Algorithms in Finance: Deriving the Dependence Structure.- Experimental Results.- Summary and Outlook.
Notă biografică
Dr. Svenja Hager promovierte bei Prof. Dr.-Ing. Rainer Schöbel am Lehrstuhl für Betriebswirtschaftslehre, insbesondere Betriebliche Finanzwirtschaft, der Universität Tübingen. Sie ist als Kredit- und Marktrisiko-Expertin tätig.
Textul de pe ultima copertă
With the recent development of non-standard credit derivatives, it has become increasingly important to develop pricing models for these illiquid products which are consistent with the pricing models and the market quotes of related liquid instruments.
Svenja Hager aims at pricing non-standard illiquid portfolio credit derivatives which are related to standard CDO tranches with the same underlying portfolio of obligors. Instead of assuming a homogeneous dependence structure between the default times of different obligors, as it is assumed in the standard market model, the author focuses on the use of heterogeneous correlation structures. The intention is to find a correlation matrix sufficiently flexible so that all tranche spreads of a CDO structure can be reproduced simultaneously. This allows for consistent pricing. The calibrated model can then be used to determine the price of non-standard contracts. As there is no standard optimization technique to derive the correlation structure from market prices, Evolutionary Algorithms are applied.
Svenja Hager aims at pricing non-standard illiquid portfolio credit derivatives which are related to standard CDO tranches with the same underlying portfolio of obligors. Instead of assuming a homogeneous dependence structure between the default times of different obligors, as it is assumed in the standard market model, the author focuses on the use of heterogeneous correlation structures. The intention is to find a correlation matrix sufficiently flexible so that all tranche spreads of a CDO structure can be reproduced simultaneously. This allows for consistent pricing. The calibrated model can then be used to determine the price of non-standard contracts. As there is no standard optimization technique to derive the correlation structure from market prices, Evolutionary Algorithms are applied.