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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSynthetic CDOs $emodelling, valuation and risk management /$fCraig Mounfield$b[electronic resource]
210  1$aCambridge :$cCambridge University Press,$d2009.
215   $a1 online resource (xvi, 369 pages) $cdigital, PDF file(s)
225 1 $aMathematics, finance, and risk ;$v7
300   $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
311   $a0-521-89788-2 
320   $aIncludes bibliographical references (p. 357-363) and index.
327   $a1. A primer on collateralised debt obligations; 2. The modelling of obligor default; 3. Valuation of credit default swaps; 4. Credit indices; 5. Valuation of default baskets; 6. Synthetic CDO valuation methodologies; 7. Phenomenology of the standard market model; 8. Risk quantification and sensitivities of synthetic CDOs; 9. Implied and base correlations; 10. Extensions of the standard market model; 11. Exotic CDOs; 12. Correlation trading of synthetic CDO tranches; 13. Risk management of a portfolio of synthetic CDOs; 14. Hedging simulation of structured credit products; A. Explanation of common notation; B. Simulated annealing.
330   $aCredit derivatives have enjoyed explosive growth in the last decade, particularly synthetic Collateralised Debt Obligations (synthetic CDOs). This book describes the state-of-the-art in quantitative and computational modelling of CDOs. Beginning with an overview of the structured finance landscape, readers are introduced tothe basic modelling concepts necessary to model and value simple credit derivatives. The modelling, valuation and risk management of synthetic CDOs are described and a detailed picture of the behaviour of these complex instruments is built up. The final chapters introduce more advanced topics such as portfolio management of synthetic CDOs and hedging techniques. Detailing the latest models and techniques, this is essential reading for quantitative analysts, traders and risk managers working in investment banks, hedge funds and other financial institutions, and for graduates intending to enter the industry. It is also ideal for academics who need to keep informed with current best practice in the credit derivatives industry.
410  0$aMathematics, finance, and risk ;$v7.
606   $aCollateralized debt obligations
615  0$aCollateralized debt obligations.
676   $a332.63/2
700   $aMounfield$b Craig$f1969-$01034392
801  0$bUkCbUP
801  1$bUkCbUP
906   $aBOOK
912   $a9910454199703321
996   $aSynthetic CDOs$92453499
997   $aUNINA