Expert guidance on managing credit risk in bond portfolios Managing Credit Risk in Corporate Bond Portfolios shows readers howto measure and manage the risks of a corporate bond portfolioagainst its benchmark. This comprehensive guide explores a widerange of topics surrounding credit risk and bond portfolios,including the similarities and differences between corporate andgovernment bond portfolios, yield curve risk, default and creditmigration risk, Monte Carlo simulation techniques, and portfolioselection methods. Srichander Ramaswamy, PhD (Basel, Switzerland), is Head ofInvestment Analysis at the Bank for International Settlements (BIS)in Basel, Switzerland, and Adjunct Professor of Banking andFinance, University of Lausanne.
Investing in Corporate Bonds and Credit Risk is a valuable tool for any corporate bond investor. All the most recent developments and strategies in investment in corporate bonds are analyzed included with qualitative and quantitative approaches. A complete and up-to-date investment process is developed through the book, using many examples taken from banking practice. The growing significance of derivative instruments and credit diversification to bond investors is also analyzed in detail.
Praise for SYSTEMATIC INVESTING in CREDIT "Lev and QPS continue to shed light on the most important questions facing credit investors. This book focuses on their latest cutting-edge research into the appropriate role of credit as an asset class, the dynamics of credit benchmarks, and potential ways to benefit from equity information to construct effective credit portfolios. It is must-read material for all serious credit investors." —Richard Donick, President and Chief Risk Officer, DCI, LLC, USA "Lev Dynkin and his team continue to spoil us; this book is yet another example of intuitive, insightful, and pertinent research, which builds on the team's previous research. As such, the relationship with this team is one of the best lifetime learning experiences I have had." —Eduard van Gelderen, Chief Investment Officer, Public Sector Pension Investment Board, Canada "The rise of a systematic approach in credit is a logical extension of the market's evolution and long overdue. Barclays QPS team does a great job of presenting its latest research in a practical manner." —David Horowitz, Chief Executive Officer and Chief Investment Officer, Agilon Capital, USA "Systematization reduces human biases and wasteful reinventing of past solutions. It improves the chances of investing success. This book, by a team of experts, shows you the way. You will gain insights into the advanced methodologies of combining fundamental and market data. I recommend this book for all credit investors." —Lim Chow Kiat, Chief Executive Officer, GIC Asset Management, Singapore "For nearly two decades, QPS conducted extensive and sound research to help investors meet industry challenges. The proprietary research in this volume gives a global overview of cutting-edge developments in alpha generation for credit investors, from signal extraction and ESG considerations to portfolio implementation. The book blazes a trail for enhanced risk adjusted returns by exploring the cross-asset relation between stocks and bonds and adding relevant information for credit portfolio construction. Our core belief at Ostrum AM, is that a robust quantamental approach, yields superior investment outcomes. Indeed, this book is a valuable read for the savvy investor." —Ibrahima Kobar, CFA, Global Chief Investment Officer, Ostrum AM, France "This book offers a highly engaging account of the current work by the Barclays QPS Group. It is a fascinating mix of original ideas, rigorous analytical techniques, and fundamental insights informed by a long history of frontline work in this area. This is a must-read from the long-time leaders in the field." —Professor Leonid Kogan, Nippon Telephone and Telegraph Professor of Management and Finance, MIT "This book provides corporate bond portfolio managers with an abundance of relevant, comprehensive, data-driven research for the implementation of superior investment performance strategies." —Professor Stanley J. Kon, Editor, Journal of Fixed income "This book is a treasure trove for both pension investors and trustees seeking to improve performance through credit. It provides a wealth of empirical evidence to guide long-term allocation to credit, optimize portfolio construction and harvest returns from systematic credit factors. By extending their research to ESG ratings, the authors also provide timely insights in the expanding field of sustainable finance." —Eloy Lindeijer, former Chief of Investment Management, PGGM, Netherlands "Over more than a decade, Lev Dynkin and his QPS team has provided me and APG with numerous innovative insights in credit markets. Their work gave us valuable quantitative substantiation of some of our investment beliefs. This book covers new and under-researched areas of our markets, like ESG and factor investing, next to the rigorous and practical work akin to the earlier work of the group. I'd say read this book—and learn from one of the best." —Herman Slooijer, Managing Director, Head of Fixed Income, APG Asset Management, Netherlands
HIGH-YIELD BONDS provides state-of-the-art research, strategies, and toolsÑalongside the expert analysis of respected authorities including Edward Altman of New York UniversityÕs Salomon Center, Lea Carty of MoodyÕs Investor Service, Sam DeRosa-Farag of Donaldson, Lufkin & Jenrette, Martin Fridson of Merrill Lynch & Company, Stuart Gilson of Harvard University, Robert Kricheff of CS First Boston, and Frank Reilly of the University of Notre DameÑto help you truly understand todayÕs high-yield market. For added value and ease of reference, this high-level one-volume encyclopedia is divided into seven sections detailing virtually every aspect of high-yield bond investment. They include: Market structureÑThe role of investment banks in security innovation and market development, evolution of analytical methodologies, and recent leveraged loan market developments; Security risk analysisÑHistorical bond default rates, real interest rate and default rate relationships, and new simulation methodologies for modeling credit quality; Security valuationÑImpact of seniority and security on bond pricing and return, important trading factors, and a Monte Carlo simulation methodology for valuing bonds and options in the context of correlated interest rate and credit risk; Market valuation modelsÑEconometric studies which detail the importance of monetary influences, risk-free interest rates, default rates, mutual fund flows, and seasonal fluctuations; Portfolio managementÑHistorical perspective and comparison to alternative investments, analysis of indices available to investors, and specific portfolio selection and risk management strategies of professional fund managers; Distressed security investingÑHistorical risk and return information, plus an academic overview of the market and decision criteria for uncovering and investing in securities with higher-than-average risk-adjusted returns; Corporate finance considerationsÑEmerging firmsÕ strategic choice between external debt and equity financing, as well as the choice of issuing public versus private (Rule-144a) securities. HIGH-YIELD BONDS provides extensive coverage of bond valuation and the construction and management of high-yield portfolios. Advanced Monte Carlo simulation models for the valuation of bonds and options on bonds as well as risk assessments on portfolios of bonds under conditions of correlated interest rate and credit risk are demonstrated. In todayÕs explosive environment of multiple new issues and high risk versus return relationships, it is paramount that you get advice from analysts and experts who have been influential in shaping and defining the market. HIGH-YIELD BONDS will provide you with a valuable reference to this fascinating and constantly changing class of securities, helping you assemble a stable, diversified portfolio of fixed income investments that provides the greatest returns and the lowest risks.
This book provides a comprehensive picture of the recent trends and developments in the Indian finance scenario. It provides the reader with a comprehensive description and assessment of the Indian capital markets and an analytical approach together with a description of major recent developments and the current status of the finance sector. The collection deals with issues like brokerage, security analysis, and underwriting, as well as the legal infrastructure of the markets. It focuses primarily on the Indian stock markets, corporate bond markets and derivatives markets. It also looks at the importance of asset management companies such as those involved with mutual funds, pension funds and venture capital funds to gain a better understanding of the asset management industry in India.
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.
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This book is a detailed account of the instruments that are used in the corporate bond markets, from conventional "plain vanilla" bonds to hybrid instruments and structured products. There is background information on bond pricing and yield, as well as a detailed look at the yield curve. The book covers the full set of instruments used by companies to raise finance, and which are aimed at a wide range of investors. It also discusses the analysis of these instruments. Topics covered include:*Bond basics*The yield curve*Callable bonds*Convertible bonds*Eurobonds*Warrants*Commercial paper*Corporate bonds credit analysis*Securitisation*Asset-backed securities*Mortgage-backed securities*Collateralised Debt Obligations*Synthetic CDOsWritten by one of the leading names in the fixed income markets today, this book should prove to be an invaluable reference guide for all those with an interest in corporate bond markets, whether as practitioners, consultants or researchers.* Covers every major aspect of corporate credit markets* Features bond instruments as well as aspects of bond analysis* Covers conventional bonds as well as securitisation and structured financial products
An up-to-date, accurate framework for credit analysis and decision making, from the experts at Standard & Poor's "In a world of increasing financial complexity and shorter time frames in which to assess the wealth or dearth of information, this book provides an invaluable and easily accessible guide of critical building blocks of credit analysis to all credit professionals." --Apea Koranteng, Global Head, Structured Capital Markets, ABN AMRO "The authors do a fine job of combining latest credit risk management theory and techniques with real-life examples and practical application. Whether a seasoned credit expert or a new student of credit, this is a must read book . . . a critical part of anyone's risk management library." --Mark T. Williams, Boston University, Finance and Economics Department "At a time when credit risk is managed in a way more and more akin to market risk, Fundamentals of Corporate Credit Analysis provides well-needed support, not only for credit analysts but also for practitioners, portfolio managers, CDO originators, and others who need to keep track of the creditworthiness of their fixed-income investments." --Alain Canac, Chief Risk Officer, CDC IXIS Fundamentals of Corporate Credit Analysis provides professionals with the knowledge they need to systematically determine the operating and financial strength of a specific borrower, understand credit risks inherent in a wide range of corporate debt instruments, and then rank the default risk of that borrower. Focusing on fundamental credit risk, cash flow modeling, debt structure analysis, and other important issues, and including separate chapters on country risks, industry risks, business risks, financial risks, and management, it guides the reader through every step of traditional fundamental credit analysis. In a dynamic corporate environment, credit analysts cannot rely solely on financial statistical analysis, credit prediction models, or bond and stock price movements. Instead, a corporate credit analysis must supply loan providers and investors with more information and detail than ever before. On top of its traditional objective of assessing a firm's capacity and willingness to pay its financial obligations in a timely manner, a worthy credit analysis is now expected to assess recovery prospects of specific financial obligations should a firm become insolvent. Fundamentals of Corporate Credit Analysis provides practitioners with the knowledge and tools they need to address these changing requirements. Drawing on the unmatched global resources and capabilities of Standard & Poor's, this valuable book organizes its guidelines into three distinct components: Part I: Corporate Credit Risk helps analysts identify all the essential risks related to a particular firm, and measure the firm through both a financial forecast and benchmarking with peers Part II: Credit Risk of Debt Instruments explains the impact of debt instruments and debt structures on a firm's recovery prospects should it become insolvent Part III: Measuring Credit Risk presents a scoring system to assess the capacity and willingness of a firm to repay its debt in a timely fashion and to evaluate recovery prospects in the event of financial distress In addition, a fourth component--Cases in Credit Analysis--examines seven real-life studies to provide examples of the book's theory and procedures in practice. Senior Standard & Poor's analysts explore diverse cases ranging from North and South America to Europe and the Pacific Rim, on topics covering mergers (AT&T-Comcast, MGM-Mirage, Kellogg-Keebler), foreign ownership in a merger (Air New Zealand-Ansett-Singapore Airlines), sovereign issues (Repsol-YPF), peer comparisons (U.S. forestry), and recovery analysis (Yell LBO). Industry "Keys to Success" are identified and analyzed in each case, along with an explanation on how to interpret performance and come to a credit decision. While it is still true that ultimate credit decisions are highly subjective in nature, methodologies and thought processes can be repeatable from case to case. Fundamentals of Corporate Credit Analysis provides analysts with the knowledge and tools they need to systematically analyze a company, identify and analyze the most important factors in determining its creditworthiness, and ensure that more "science" than "art" is used in making the final credit decision.
