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Sampling Nested Archimedean Copulas

with Applications to CDO Pricing

Language EnglishEnglish
Book Paperback
Book Sampling Nested Archimedean Copulas Jan Marius Hofert
Libristo code: 06961799
Copulas are distribution functions with standard uniform univariate margins. A famous class of copul... Full description
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Copulas are distribution functions with standard uniform univariate margins. A famous class of copulas consists of Archimedean copulas, which are constructed by a one-dimensional function called the generator of the Archimedean copula. In large-dimensional applications the symmetry of Archimedean copulas is often considered to be a drawback. By nesting Archimedean copulas at different levels, one obtains the more general and flexible class of nested Archimedean copulas. The present work explores these copulas. In particular, efficient sampling algorithms, especially suited for large dimensions, are presented. From the practitioner's point of view, fast sampling algorithms are required for large-scale simulation studies. Efficiently sampling nested Archimedean copulas requires sampling from certain distributions which are related to the generators of the Archimedean copulas involved via Laplace-Stieltjes transforms. The work at hand presents efficient strategies for sampling these distributions. As an application, a pricing model for collateralized debt obligations is developed which precisely captures the given hierarchical structure of such a credit-risky portfolio.

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About the book

Full name Sampling Nested Archimedean Copulas
Language English
Binding Book - Paperback
Date of issue 2010
Number of pages 200
EAN 9783838116563
ISBN 3838116569
Libristo code 06961799
Weight 322
Dimensions 153 x 229 x 13
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