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Synthetic CDOs: modelling valuation and risk management

By: Series: Mathematics, finance and riskPublication details: Cambridge Cambridge University Press 2009Description: xv, 369 pISBN:
  • 9780521897884
Subject(s): DDC classification:
  • 332.632
Summary: 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. Source: Publisher
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Books Vikram Sarabhai Library Rack 19-A / Slot 712 (0 Floor, West Wing) General Stacks 332.632 M6S9 (Browse shelf(Opens below)) Available 167291

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. Source: Publisher

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