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The increasing ability to trade credit risk in financial markets has facilitated its dispersion across the financial and other sectors. However, specific risks attached to credit risk transfer (CRT) instruments in a market with still-limited liquidity means that its rapid expansion may actually pose problems for financial sector stability in the event of a major negative shock to credit markets. This paper attempts to quantify the exposure of major U.K. financial groups to credit derivatives, by applying a vector autoregression (VAR) model to publicly available market prices. Our results indicate that use of credit derivatives does not pose a substantial threat to financial sector stability in the United Kingdom. Exposures across major financial institutions appear sufficiently diversified to limit the impact of any shock to the market, while major insurance companies are largely exposed to the "safer" senior tranches.
A practical approach to ART-an alternative method by which companies take on various types of risk This comprehensive book shows readers what ART is, how it can be used to mitigate risk, and how certain instruments/structures associated with ART should be implemented. Through numerous examples and case studies, readers will learn what actually works and what doesn't when using this technique. Erik Banks (CT) joined XL Capital's weather/energy risk management subsidiary, Element Re, as a Partner and Chief Risk Officer in 2001.
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
In this book, the authors provide an overview of the sub-prime mortgage securitisation process and the seven key informational frictions that arise. They discuss the ways that market participants work to minimise these frictions and speculate on how this process broke down. They continue with a complete picture of the sub-prime borrower and the sub-prime loan, discussing both predatory borrowing and predatory lending. They present the key structural features of a typical sub-prime securitisation, document how rating agencies assign credit ratings to mortgage-backed securities, and outline how these agencies monitor the performance of mortgage pools over time.
The importance of managing credit and credit risks carefully and appropriately cannot be overestimated. The very success or failure of a bank and the banking industry in general may well depend on how credit risk is handled. Banking professionals must be fully versed in the risks associated with credit operations and how to manage those risks. This up-to-date volume is an invaluable reference and study tool that delves deep into issues associated with credit risk management. Credit Risk Management from the Hong Kong Institute of Bankers (HKIB)discusses the various ways through which banks manage risks. Essential for candidates studying for the HKIB Associateship Examination, it can also help those who want to acquire a deeper understanding of how and why banks make decisions and set up processes that lower their risk. Topics covered in this book include: Active credit portfolio management Risk management, pricing, and capital adequacy Capital requirements for banks Approaches to credit risk management Structural models and probability of default Techniques to determine loss given default Derivatives and structured products
A comprehensive guide to credit risk management The Handbook of Credit Risk Management presents a comprehensive overview of the practice of credit risk management for a large institution. It is a guide for professionals and students wanting a deeper understanding of how to manage credit exposures. The Handbook provides a detailed roadmap for managing beyond the financial analysis of individual transactions and counterparties. Written in a straightforward and accessible style, the authors outline how to manage a portfolio of credit exposures--from origination and assessment of credit fundamentals to hedging and pricing. The Handbook is relevant for corporations, pension funds, endowments, asset managers, banks and insurance companies alike. Covers the four essential aspects of credit risk management: Origination, Credit Risk Assessment, Portfolio Management and Risk Transfer. Provides ample references to and examples of credit market services as a resource for those readers having credit risk responsibilities. Designed for busy professionals as well as finance, risk management and MBA students. As financial transactions grow more complex, proactive management of credit portfolios is no longer optional for an institution, but a matter of survival.
This March 2002 issue of the Global Financial Stability Report highlights that financial markets ended the year 2001 on a positive note. Equity markets recovered and rallied noticeably from their lows of late September. In bond markets, yield spreads of corporate and high-yielding bonds, particularly emerging market bonds, narrowed against the U.S. Treasury. At the same time, the U.S. Treasury yield curve steepened, and the U.S. dollar has strengthened. Financial markets thus anticipate, and have priced in, a recovery in economic activity and corporate earnings during 2002.
The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.
This is a major new reference work covering all aspects of finance. Coverage includes finance (financial management, security analysis, portfolio management, financial markets and instruments, insurance, real estate, options and futures, international finance) and statistical applications in finance (applications in portfolio analysis, option pricing models and financial research). The project is designed to attract both an academic and professional market. It also has an international approach to ensure its maximum appeal. The Editors' wish is that the readers will find the encyclopedia to be an invaluable resource.