Modelling Single-name and Multi-name Credit Derivatives presents an up-to-date, comprehensive, accessible and practical guide to the pricing and risk-management of credit derivatives. It is both a detailed introduction to credit derivative modelling and a reference for those who are already practitioners. This book is up-to-date as it covers many of the important developments which have occurred in the credit derivatives market in the past 4-5 years. These include the arrival of the CDS portfolio indices and all of the products based on these indices. In terms of models, this book covers the challenge of modelling single-tranche CDOs in the presence of the correlation skew, as well as the pricing and risk of more recent products such as constant maturity CDS, portfolio swaptions, CDO squareds, credit CPPI and credit CPDOs.

The credit derivatives market is booming and, for the first time, expanding into the banking sector which previously has had very little exposure to quantitative modeling. This phenomenon has forced a large number of professionals to confront this issue for the first time. Credit Derivatives Pricing Models provides an extremely comprehensive overview of the most current areas in credit risk modeling as applied to the pricing of credit derivatives. As one of the first books to uniquely focus on pricing, this title is also an excellent complement to other books on the application of credit derivatives. Based on proven techniques that have been tested time and again, this comprehensive resource provides readers with the knowledge and guidance to effectively use credit derivatives pricing models. Filled with relevant examples that are applied to real-world pricing problems, Credit Derivatives Pricing Models paves a clear path for a better understanding of this complex issue. Dr. Philipp J. Schönbucher is a professor at the Swiss Federal Institute of Technology (ETH), Zurich, and has degrees in mathematics from Oxford University and a PhD in economics from Bonn University. He has taught various training courses organized by ICM and CIFT, and lectured at risk conferences for practitioners on credit derivatives pricing, credit risk modeling, and implementation.

Featuring contributions from leading international academics and practitioners, Credit Risk: Models, Derivatives, and Management illustrates how a risk management system can be implemented through an understanding of portfolio credit risks, a set of suitable models, and the derivation of reliable empirical results. Divided into six sectio

The credit risk market is the fastest growing financial market in the world, attracting everyone from hedge funds to banks and insurance companies. Increasingly, professionals in corporate finance need to understand the workings of the credit risk market in order to successfully manage risk in their own organizations; in addition, some wish to move into the field on a full-time basis. Most books in the field, however, are either too academic for working professionals, or written for those who already possess extensive experience in the area. Credit Derivatives fills the gap, explaining the credit risk market clearly and simply, in language any working financial professional can understand. Harvard Business School faculty member George C. Chacko and his colleagues begin by explaining the underlying principles surrounding credit risk. Next, they systematically present today's leading methods and instruments for managing it. The authors introduce total return swaps, credit spread options, credit linked notes, and other instruments, demonstrating how each of them can be used to isolate risk and sell it to someone willing to accept it.

Over the past decade, credit derivatives have emerged as the key financial innovation in global capital markets. At end 2004, the market size hit $6.4 billion (in notional amounts) from virtually nothing in 1995. This rise has been spurred by the imperative for banks to better manage their risks, not least credit risks, and the appetite shown by institutional investors and hedge funds for innovative, high yielding structured investment products. As a result, growth in collateralized debt obligations and other second-generation products, such as credit indices, is currently phenomenal. It is enabled by the standardization and increased liquidity in credit default swaps – the building block of the credit derivatives market. Written by market practitioners and specialists, this book covers the fundamentals of the credit derivatives and structured credit market, including in-depth product descriptions, analysis of real transactions, market overview, pricing models, banks business models. It is recommended reading for students in business schools and financial courses, academics, and professionals working in investment and asset management, banking, corporate treasury and the capital markets. Highlights include: Written by market practitioners and specialists with first-hand experience in the credit derivatives and structured credit market A clearly-written, pedagogical book with numerous illustrations Detailed review of real-case transactions A comprehensive historical perspective on market developments including up-to-date analysis of the latest trends

The second edition of An Introduction to Credit Derivatives provides a broad introduction to products and a marketplace that have changed significantly since the financial crisis of 2008. Author Moorad Choudhry gives a practitioner's perspective on credit derivative instruments and the risks they involve in a succinct style without sacrificing technical details and scientific precision. Beginning with foundational discussions of credit risk, credit risk transfer and credit ratings, the book proceeds to examine credit default swaps and related pricing, asset swaps, credit-linked notes, and more. Ample references, appendices and a glossary add considerably to the lasting value of the book for students and professionals in finance. - A post-crisis guide to a powerful bank risk management product, its history and its use - Liberal use of Bloomberg screens and new worked examples increase hands-on practicality - New online set of CDS pricing models and other worksheets multiply the book's uses

The market for credit derivatives--financial instruments designedto transfer credit risk from one party to another--has grownexponentially in recent years, with volume expected to reach morethan $4.8 trillion by 2004. With demand increasing from the privatesector for finance professionals trained in the opportunities--anddangers--inherent in this fast-changing market, finance courses arealready springing up to meet this need. Credit Derivatives: Explains the field of credit derivatives to business studentswith a background in finance Cites real-world examples throughout, reinforced byend-of-chapter questions and internet links to pricing models Provides a concise overview of the field that is ideal forinstructors seeking to supplement traditional derivatives coursematerial, as well as those looking to offer a stand-alone course oncredit derivatives.

Understanding Credit Derivatives and Related Instruments, Second Edition is an intuitive, rigorous overview that links the practices of valuing and trading credit derivatives with academic theory. Rather than presenting highly technical explorations, the book offers summaries of major subjects and the principal perspectives associated with them. The book's centerpiece is pricing and valuation issues, especially valuation tools and their uses in credit models. Five new chapters cover practices that have become commonplace as a result of the 2008 financial crisis, including standardized premiums and upfront payments. Analyses of regulatory responses to the crisis for the credit derivatives market (Basel III, Dodd-Frank, etc.) include all the necessary statistical and mathematical background for readers to easily follow the pricing topics. Every reader familiar with mid-level mathematics who wants to understand the functioning of the derivatives markets (in both practical and academic contexts) can fully satisfy his or her interests with the comprehensive assessments in this book. - Explores the role that credit derivatives played during the economic crisis, both as hedging instruments and as vehicles that potentially magnified losses for some investors - Comprehensive overview of single-name and multi-name credit derivatives in terms of market specifications, pricing techniques, and regulatory treatment - Updated edition uses current market statistics (market size, market participants, and uses of credit derivatives), covers the application of CDS technology to other asset classes (CMBX, ABX, etc.), and expands the treatment of individual instruments to cover index products, and more

Contains Nearly 100 Pages of New MaterialThe recent financial crisis has shown that credit risk in particular and finance in general remain important fields for the application of mathematical concepts to real-life situations. While continuing to focus on common mathematical approaches to model credit portfolios, Introduction to Credit Risk Modelin

From the late 1990s, 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