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Books > Business & Economics > Finance & accounting > Finance > Credit & credit institutions

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Synthetic CDOs - Modelling, Valuation and Risk Management (Hardcover) Loot Price: R1,989
Discovery Miles 19 890
You Save: R138 (6%)
Synthetic CDOs - Modelling, Valuation and Risk Management (Hardcover): C.C. Mounfield

Synthetic CDOs - Modelling, Valuation and Risk Management (Hardcover)

C.C. Mounfield

Series: Mathematics, Finance and Risk

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List price R2,127 Loot Price R1,989 Discovery Miles 19 890 | Repayment Terms: R186 pm x 12* You Save R138 (6%)

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Credit derivatives have enjoyed explosive growth in the last decade, particularly synthetic Collateralized Debt Obligations (synthetic CDOs). This modern book describes the state-of-the-art in quantitative and computational modeling of CDOs. Beginning with an overview of the structured finance landscape, readers are introduced to the basic modeling concepts necessary to model and value simple credit derivatives. The modeling, valuation and risk management of synthetic CDOs are described and a detailed picture of the behavior 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 be informed with the best current practice in the credit derivatives industry.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Series: Mathematics, Finance and Risk
Release date: December 2008
First published: 2009
Authors: C.C. Mounfield
Dimensions: 254 x 180 x 21mm (L x W x T)
Format: Hardcover
Pages: 386
ISBN-13: 978-0-521-89788-4
Categories: Books > Business & Economics > Finance & accounting > Finance > Credit & credit institutions
Books > Money & Finance > Credit & credit institutions
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LSN: 0-521-89788-2
Barcode: 9780521897884

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