A cutting-edge text on credit portfolio management Credit risk. A number of market factors are causing revolutionary changes in the way it is measured and managed at financial institutions. Charles Smithson, author of the bestselling Managing Financial Risk, introduces a portfolio management approach to credit in his latest book. Understanding how to manage the inherent risks of this market has become increasingly important over the years. Credit Portfolio Management provides readers with a complete understanding of the alternative approaches to credit risk measurement and portfolio management. This definitive guide discusses the pricing and managing of credit risks associated with a variety of off-balance-sheet products such as credit default swaps, total return swaps, first-to-default baskets, and credit spread options; as well as on-balance-sheet customized structured products such as credit-linked notes, repackage notes, and synthetic collateralized debt obligations (CDOs). Filled with expert insight and advice, this book is a must-read for all credit professionals. Charles W. Smithson, PhD (New York, NY), is the Managing Partner of Rutter Associates and Executive Director of the International Association of Credit Portfolio Managers (IACPM). He is the author of five books, including The Handbook of Financial Engineering and Managing Financial Risk (now in its Third Edition).

Credit Portfolio Management is a topical text on approaches to the active management of credit risks. The book is a valuable, up to date guide for portfolio management practitioners. Its content comprises of three main parts: The framework for managing credit risks, Active Credit Portfolio Management in practice and Hedging techniques and toolkits.

An innovative approach to post-crash credit portfolio management Credit portfolio managers traditionally rely on fundamental research for decisions on issuer selection and sector rotation. Quantitative researchers tend to use more mathematical techniques for pricing models and to quantify credit risk and relative value. The information found here bridges these two approaches. In an intuitive and readable style, this book illustrates how quantitative techniques can help address specific questions facing today's credit managers and risk analysts. A targeted volume in the area of credit, this reliable resource contains some of the most recent and original research in this field, which addresses among other things important questions raised by the credit crisis of 2008-2009. Divided into two comprehensive parts, Quantitative Credit Portfolio Management offers essential insights into understanding the risks of corporate bonds—spread, liquidity, and Treasury yield curve risk—as well as managing corporate bond portfolios. Presents comprehensive coverage of everything from duration time spread and liquidity cost scores to capturing the credit spread premium Written by the number one ranked quantitative research group for four consecutive years by Institutional Investor Provides practical answers to difficult question, including: What diversification guidelines should you adopt to protect portfolios from issuer-specific risk? Are you well-advised to sell securities downgraded below investment grade? Credit portfolio management continues to evolve, but with this book as your guide, you can gain a solid understanding of how to manage complex portfolios under dynamic events.

The introduction of the euro in 1999 marked the starting point of the development of a very liquid and heterogeneous EUR credit market, which exceeds EUR 350bn with respect to outstanding corporate bonds. As a result, credit risk trading and credit portfolio management gained significantly in importance. The book shows how to optimize, manage, and hedge liquid credit portfolios, i.e. applying innovative derivative instruments. Against the background of the highly complex structure of credit derivatives, the book points out how to implement portfolio optimization concepts using credit-relevant parameters, and basic Markowitz or more sophisticated modified approaches (e.g., Conditional Value at Risk, Omega optimization) to fulfill the special needs of an active credit portfolio management on a single-name and on a portfolio basis (taking default correlation within a credit risk model framework into account). This includes appropriate strategies to analyze the impact from credit-relevant newsflow (macro- and micro-fundamental news, rating actions, etc.). As credits resemble equity-linked instruments, we also highlight how to implement debt-equity strategies, which are based on a modified Merton approach. The book is obligatory for credit portfolio managers of funds and insurance companies, as well as bank-book managers, credit traders in investment banks, cross-asset players in hedge funds, and risk controllers.

State-of-the-art techniques and tools needed to facilitate effective credit portfolio management and robust quantitative credit analysis Filled with in-depth insights and expert advice, Active Credit Portfolio Management in Practice serves as a comprehensive introduction to both the theory and real-world practice of credit portfolio management. The authors have written a text that is technical enough both in terms of background and implementation to cover what practitioners and researchers need for actually applying these types of risk management tools in large organizations but which at the same time, avoids technical proofs in favor of real applications. Throughout this book, readers will be introduced to the theoretical foundations of this discipline, and learn about structural, reduced-form, and econometric models successfully used in the market today. The book is full of hands-on examples and anecdotes. Theory is illustrated with practical application. The authors' Website provides additional software tools in the form of Excel spreadsheets, Matlab code and S-Plus code. Each section of the book concludes with review questions designed to spark further discussion and reflection on the concepts presented.

Enterprise risk management is a complex yet critical issue that all companies must deal with as they head into the twenty-first century. It empowers you to balance risks with rewards as well as people with processes. But to master the numerous aspects of enterprise risk management, you must first realize that this approach is not only driven by sound theory but also by sound practice. No one knows this better than risk management expert James Lam. In Enterprise Risk Management: From Incentives to Controls, Lam distills twenty years' worth of experience in this field to give you a clear understanding of both the art and science of enterprise risk management. Organized into four comprehensive sections, Enterprise Risk Management offers in-depth insights, practical advice, and real world case studies that explore every aspect of this important field. Section I: Risk Management in Context lays a solid foundation for understanding the role of enterprise risk management in today’s business environment. Section II: The Enterprise Risk Management Framework offers an executive education on the business rationale for integrating risk management processes. Section III: Risk Management Applications discusses the applications of risk management in two dimensions–functions and industries. Section IV: A Look to the Future rounds out this comprehensive discussion of enterprise risk management by examining emerging topics in risk management with respect to people and technology. JAMES LAM is President of James Lam & Associates, an independent risk advisory firm. Before starting his own firm, Lam was founder and president of ERisk and partner of Oliver, Wyman & Company. In 1997, as chief risk officer at Fidelity Investments, he was named the first-ever Financial Risk Manager of the Year by the Global Association of Risk Professionals. Prior to Fidelity, he was chief risk officer of Capital Markets Services, Inc., a GE Capital Company. Lam graduated with honors from Baruch College and received his MBA from UCLA. He is also currently an Adjunct Professor of Finance at Babson College.

"This book is encountered within three major types of large-scale financial activity: commercial leading, fund management and investment banking trading activities. There businesses are increasingly founded upon quantitative approaches. This introductory text takes each of these activities in turn and describes the nature of the marketplace, how credit risk is measured and the quantitative tools employed to manage the exposure." -- BACK COVER.

The financial industry is swamped by credit products whose economic performance is linked to the performance of some underlying portfolio of credit-risky instruments, like loans, bonds, swaps, or asset-backed securities. Financial institutions continuously use these products for tailor-made long and short positions in credit risks. Based on a stead

This is the second edition of this book which considers issues involved in the assessment, analysis, and management of financial risks in banking. It highlights risk-management principles and the accountability of key players in corporate governance process, as well as discussing transparency in bank's financial statements. It also contains new material including chapters on the management of the treasury function, management of a stable liquidity investment portfolio, and a discussion of proprietary trading activities and asset management liability components. A hardback version is also available (ISBN 0821354655) containing illustrative prototype software and Excel spreadsheets which can be adapted for banking diagnostic processes.

This proceedings volume contains a selection of papers presented at the International Conference on Operations Research (SOR 2002).The contributions cover the broad interdisciplinary spectrum of Operations Research and present recent advances in theory, development of methods, and applications in practice. Subjects covered are Production, Logistics and Supply Chain Production, Marketing and Data Analysis, Transportation and Traffic, Scheduling and Project Management, Telecommunication and Information Technology, Energy and Environment, Public Economy, Health, Agriculture, Education, Banking, Finance, Insurance, Risk Management, Continuous Optimization, Discrete and Combinatorial Optimization, Stochastic and Dynamic Programming, Simulation, Control Theory, Systems Dynamics, Dynamic Games, Game Theory, Auctioning and Bidding, Experimental Economics, Econometrics, Statistics and Mathematical Economics, Fuzzy Logic, Multicriteria Decision Making, Decision Theory.