The Oxford handbook of credit derivatives

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Title:

Author:

Lipton, Alexander.

ISBN:

9780199546787

Publication Information:

Oxford : Oxford University Press, 2011.

Physical Description:

xxvi, 677 p. : ill. ; 26 cm.

Series:

Oxford handbooks in finance

Oxford handbooks in finance.

Contents:

Machine generated contents note: pt. I INTRODUCTION -- 1.Non-Technical Introduction / Gillian Tett -- 2.Technical Introduction / Alexander Lipton -- pt. II STATISTICAL OVERVIEW -- 3.Default Recovery Rates and LGD in Credit Risk Modelling and Practice / Edward I. Altman -- 4.A Guide to Modelling Credit Term Structures / Arthur M. Berd -- 5.Statistical Data Mining Procedures in Generalized Cox Regressions / Zhen Wei -- pt. III SINGLE AND MULTI-NAME THEORY -- 6.An Exposition of CDS Market Models / Lutz Schloegl -- 7.Single- and Multi-Name Credit Derivatives: Theory and Practice / David Shelton -- 8.Marshall-Olkin Copula-Based Models / Youssef Elouerkhaoui -- 9.Contagion Models in Credit Risk / Mark H. A. Davis -- 10.Markov Chain Models of Portfolio Credit Risk / Alexander Herbertsson -- 11.Counterparty Risk in Credit Derivative Contracts / Jon Gregory -- 12.Credit Value Adjustment in the Extended Structural Default Model / Artur Sepp -- pt. IV BEYOND NORMALITY --

Contents note continued: 13.A New Philosophy of the Market / Elie Ayache -- 14.An EVT primer for credit risk / Paul Embrechts -- 15.Saddlepoint Methods in Portfolio Theory / Richard J. Martin -- pt. V SECURITIZATION -- 16.Quantitative Aspects of the Collapse of the Parallel Banking System / Alexander Batchvarov -- 17.Home Price Derivatives and Modelling / Alexander Levin -- 18.A Valuation Model for ABS CDOs / Alexander Lipton.

Subject Term:

Credit derivatives -- Mathematical models.

Added Author:

Lipton, Alexander.

Rennie, Andrew, 1968-

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:REF-BOOK	33168025561693	332.6457015118 L767.O 2011	1	Searching... Unknown

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Summary

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 practicioners, credit traders, and quantitative analysts.