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Synthetic CDOs

Modelling, Valuation and Risk Management

C. C. Mounfield

$225.95   $180.99

Hardback

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English
Cambridge University Press
18 December 2008
Credit 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.
By:  
Imprint:   Cambridge University Press
Country of Publication:   United Kingdom
Volume:   7
Dimensions:   Height: 254mm,  Width: 180mm,  Spine: 21mm
Weight:   920g
ISBN:   9780521897884
ISBN 10:   0521897882
Series:   Mathematics, Finance and Risk
Pages:   386
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

C. C. Mounfield is a Director in the Model Validation team of Barclays Capital working on credit derivative models.

Reviews for Synthetic CDOs: Modelling, Valuation and Risk Management

'For someone who wants to pursue a career in credit derivatives, this is a recommendable reference book. Written in a very practical way, the technical contents of the book should not be too difficult to follow for a reader with intermediate quantitative skills.' Annals of Actuarial Science


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