Analytical Techniques in the Assessment of Credit Risk


Book Description

This book provides a unique, focused introduction to the analytical skills, methods and techniques in the assessment of credit risk that are necessary to tackle and analyze complex credit problems. It employs models and techniques from operations research and management science to investigate more closely risk models for applications within the banking industry and in financial markets. Furthermore, the book presents the advances and trends in model development and validation for credit scoring/rating, the recent regulatory requirements and the current best practices. Using examples and fully worked case applications, the book is a valuable resource for advanced courses in financial risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science.




Credit Risk Analytics


Book Description

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.




The Practice of Lending


Book Description

This book provides a comprehensive treatment of credit risk assessment and credit risk rating that meets the Advanced Internal Risk-Based (AIRB) approach of Basel II. Credit risk analysis looks at many risks and this book covers all the critical areas that credit professionals need to know, including country analysis, industry analysis, financial analysis, business analysis, and management analysis. Organized under two methodological approaches to credit analysis—a criteria-based approach, which is a hybrid of expert judgement and purely mathematical methodologies, and a mathematical approach using regression analysis to model default probability—the book covers a cross-section of industries including passenger airline, commercial real estate, and commercial banking. In three parts, the sections focus on hybrid models, statistical models, and credit management. While the book provides theory and principles, its emphasis is on practical applications, and will appeal to credit practitioners in the banking and investment community alongside college and university students who are preparing for a career in lending.




Credit Risk Management


Book Description

This first of three volumes on credit risk management, providing a thorough introduction to financial risk management and modelling.




Advanced Credit Risk Analysis


Book Description

Advanced Credit Analysis presents the latest and most advanced modelling techniques in the theory and practice of credit risk pricing and management. The book stresses the logic of theoretical models from the structural and the reduced-form kind, their applications and extensions. It shows the mathematical models that help determine optimal collateralisation and marking-to-market policies. It looks at modern credit risk management tools and the current structuring techniques available with credit derivatives.




Standard & Poor's Fundamentals of Corporate Credit Analysis


Book Description

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.




Corporate Credit Analysis


Book Description

� Worked examples illustrating key points � Explanation of complex or obscure terms � Full glossary of terms The titles in this series, all previously published by BPP Training, are now available in entirely updated and reformatted editions. Each offers an international perspective on a particular aspect of risk management. Topics included in this title in the Credit Risk Management series include Establishing overall corporate goals for credit worthiness; Implementing credit analysis systems; Outsourcing to enhance credit analysis techniques; Case studies in applied credit analysis; Exercises and sample credit analysis programs. Intended for: risk managers, financial officers, fund managers, investment advisers, accountants, and students of business and finance.




Managing Credit Risk


Book Description

The first full analysis of the latest advances in managing credit risk. "Against a backdrop of radical industry evolution, the authors of Managing Credit Risk: The Next Great Financial Challenge provide a concise and practical overview of these dramatic market and technical developments in a book which is destined to become a standard reference in the field." -Thomas C. Wilson, Partner, McKinsey & Company, Inc. "Managing Credit Risk is an outstanding intellectual achievement. The authors have provided investors a comprehensive view of the state of credit analysis at the end of the millennium." -Martin S. Fridson, Financial Analysts Journal. "This book provides a comprehensive review of credit risk management that should be compulsory reading for not only those who are responsible for such risk but also for financial analysts and investors. An important addition to a significant but neglected subject." -B.J. Ranson, Senior Vice-President, Portfolio Management, Bank of Montreal. The phenomenal growth of the credit markets has spawned a powerful array of new instruments for managing credit risk, but until now there has been no single source of information and commentary on them. In Managing Credit Risk, three highly regarded professionals in the field have-for the first time-gathered state-of-the-art information on the tools, techniques, and vehicles available today for managing credit risk. Throughout the book they emphasize the actual practice of managing credit risk, and draw on the experience of leading experts who have successfully implemented credit risk solutions. Starting with a lucid analysis of recent sweeping changes in the U.S. and global financial markets, this comprehensive resource documents the credit explosion and its remarkable opportunities-as well as its potentially devastating dangers. Analyzing the problems that have occurred during its growth period-S&L failures, business failures, bond and loan defaults, derivatives debacles-and the solutions that have enabled the credit market to continue expanding, Managing Credit Risk examines the major players and institutional settings for credit risk, including banks, insurance companies, pension funds, exchanges, clearinghouses, and rating agencies. By carefully delineating the different perspectives of each of these groups with respect to credit risk, this unique resource offers a comprehensive guide to the rapidly changing marketplace for credit products. Managing Credit Risk describes all the major credit risk management tools with regard to their strengths and weaknesses, their fitness to specific financial situations, and their effectiveness. The instruments covered in each of these detailed sections include: credit risk models based on accounting data and market values; models based on stock price; consumer finance models; models for small business; models for real estate, emerging market corporations, and financial institutions; country risk models; and more. There is an important analysis of default results on corporate bonds and loans, and credit rating migration. In all cases, the authors emphasize that success will go to those firms that employ the right tools and create the right kind of risk culture within their organizations. A strong concluding chapter integrates emerging trends in the financial markets with the new methods in the context of the overall credit environment. Concise, authoritative, and lucidly written, Managing Credit Risk is essential reading for bankers, regulators, and financial market professionals who face the great new challenges-and promising rewards-of credit risk management.




Advanced Credit Risk Analysis and Management


Book Description

Credit is essential in the modern world and creates wealth, provided it is used wisely. The Global Credit Crisis during 2008/2009 has shown that sound understanding of underlying credit risk is crucial. If credit freezes, almost every activity in the economy is affected. The best way to utilize credit and get results is to understand credit risk. Advanced Credit Risk Analysis and Management helps the reader to understand the various nuances of credit risk. It discusses various techniques to measure, analyze and manage credit risk for both lenders and borrowers. The book begins by defining what credit is and its advantages and disadvantages, the causes of credit risk, a brief historical overview of credit risk analysis and the strategic importance of credit risk in institutions that rely on claims or debtors. The book then details various techniques to study the entity level credit risks, including portfolio level credit risks. Authored by a credit expert with two decades of experience in corporate finance and corporate credit risk, the book discusses the macroeconomic, industry and financial analysis for the study of credit risk. It covers credit risk grading and explains concepts including PD, EAD and LGD. It also highlights the distinction with equity risks and touches on credit risk pricing and the importance of credit risk in Basel Accords I, II and III. The two most common credit risks, project finance credit risk and working capital credit risk, are covered in detail with illustrations. The role of diversification and credit derivatives in credit portfolio management is considered. It also reflects on how the credit crisis develops in an economy by referring to the bubble formation. The book links with the 2008/2009 credit crisis and carries out an interesting discussion on how the credit crisis may have been avoided by following the fundamentals or principles of credit risk analysis and management. The book is essential for both lenders and borrowers. Containing case studies adapted from real life examples and exercises, this important text is practical, topical and challenging. It is useful for a wide spectrum of academics and practitioners in credit risk and anyone interested in commercial and corporate credit and related products.




Bio-Inspired Credit Risk Analysis


Book Description

Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.