Oxford Handbook of Credit Derivatives 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Oxford Handbook of Credit Derivatives

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Alexander Lipton 作者
OUP Oxford
譯者
2011-1-27 出版日期
704 頁數
GBP 110.00 價格
Hardcover
叢書系列
9780199546787 圖書編碼

Oxford Handbook of Credit Derivatives 在線電子書 圖書標籤: Money   


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Oxford Handbook of Credit Derivatives 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Oxford Handbook of Credit Derivatives 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Oxford Handbook of Credit Derivatives 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Oxford Handbook of Credit Derivatives 在線電子書 著者簡介


Oxford Handbook of Credit Derivatives 在線電子書 著者簡介


Oxford Handbook of Credit Derivatives 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Oxford Handbook of Credit Derivatives 在線電子書 圖書描述

From the late nineties, the spectacular growth of a secondary market for credit through derivatives has been matched by the emergence of mathematical modelling analysing the credit risk embedded in these contracts. This book aims to provide a broad and deep overview of this modelling, covering statistical analysis and techniques, modelling of default of both single and multiple entities, counterparty risk, Gaussian and non-Gaussian modelling, and securitisation. Both reduced-form and firm-value models for the default of single entities are considered in detail, with extensive discussion of both their theoretical underpinnings and practical usage in pricing and risk. For multiple entity modelling, the now notorious Gaussian copula is discussed with analysis of its shortcomings, as well as a wide range of alternative approaches including multivariate extensions to both firm-value and reduced form models, and continuous-time Markov chains. One important case of multiple entities modelling - counterparty risk in credit derivatives - is further explored in two dedicated chapters. Alternative non-Gaussian approaches to modelling are also discussed, including extreme-value theory and saddle-point approximations to deal with tail risk. Finally, the recent growth in securitisation is covered, including house price modelling and pricing models for asset-backed CDOs. The current credit crisis has brought modelling of the previously arcane credit markets into the public arena. Lipton and Rennie with their excellent team of contributors, provide a timely discussion of the mathematical modelling that underpins both credit derivatives and securitisation. Though technical in nature, the pros and cons of various approaches attempt to provide a balanced view of the role that mathematical modelling plays in the modern credit markets. This book will appeal to students and researchers in statistics, economics, and finance, as well as practitioners, credit traders, and quantitative analysts.

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