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Endorsed by the Chartered Banker Institute as core reading for one of the modules leading to the Institute's professional qualifications and chartered status, Commercial Lending supports readers that wish to develop their ability to analyze the creditworthiness of a customer and their business in the context of the current economic climate, future market and sector expectations. Commercial Lending uses a series of practical exercises and case studies, and provides the tools needed for the reader to understand and appraise a customer's business strategy. This will then enable the reader to provide appropriate funding solutions to meet the commercial needs of customers while reflecting the bank's risk appetite. These tools include: how to assess the performance and creditworthiness of a business; how to critically evaluate the robustness of cash flow; and how to undertake sensitivity analysis to quantify sustainable debt repayment capacity. This practical text will present a critical analysis of financial and non-financial information to help readers identify key risks inherent in the customer's lending proposition. Readers will go on to propose suitable funding solutions that mitigate risk and meet the needs of customer and bank. Online supporting resources include a glossary and updates to regulation in the UK. All law and legislation used throughout the book (Chapters 1, 6 and 9) is either UK or English law. Readers outside the UK are recommended to check the appropriate legislation in their country. The currency used throughout the book is UK Sterling (denominated by £ symbol) and where working examples are used (particularly in Chapters 2 and 3) readers can substitute their own currency by using the appropriate exchange rate for their own country.
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.
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.
Arnold Ziegel formed Mountain Mentors Associates after his retirement from a corporate banking career of more than 30 years at Citibank. The lessons learned from his experience in dealing with entrepreneurs, multinational corporations, highly leveraged companies, financial institutions, and structured finance, led to the development and delivery of numerous senior level credit risk training programs for major global financial institutions from 2002 through the present. This book was conceived and written as a result of the development of these courses and his experience as a corporate banker. It illustrates the fundamental issues of credit and credit analysis in a manner that tries to take away its mystery. The overriding theme of this book is that when an investor extends credit of any type, the goal is "to get your money back", and with a return that is commensurate with the risk. The goal of credit analysis is not to make "yes or no" decisions about the extension of credit, but to identify the degree of risk associated with a particular obligor or a particular credit instrument. This is consistent with modern banking industry portfolio management and the rating systems of credit agencies. Once the "riskiness" of an obligor or credit instrument is established, it can be priced or structured to match the risk demands or investment criteria of the entity that is extending the credit. A simple quote from Mr. J. P. Morgan is used often in this text - "Lending is not based primarily on money or property. No sir, the first thing is character". This statement represents one of the conflicts in modern credit analysis - that of models for decision making versus traditional credit analysis. The 2008 financial crisis was rooted in the mortgage backed securities business. Sophisticated models were used by investors, banks, and rating agencies to judge the credit worthiness of billions (and maybe trillions) of dollars worth of residential mortgage loans that were packaged into securities and distributed to investors. The models indicated that these securities would have very low losses. Of course, huge losses were incurred. Mr. Morgan had a good point. In this case is was both property and character. The properties that were the collateral for many of the mortgages had much less value than was anticipated. The valuation of the collateral was na�ve and flawed. Many assumptions were made that the value of homes would rise without pause. Many mortgage loans were made that were at or even above the appraised value of a residence.But character was a huge, perhaps larger, factor behind these losses. Many of the residential mortgage loans were made to individuals who knew that they did not have the income to make the required payments on the mortgages. Many of the mortgage brokers and lenders who made these loans also knew that many of the borrowers were not properly qualified. And, many of the bankers who securitized these loans also may have doubted the credit quality of some of the underlying mortgages. If bankers and rating agencies understood the extent of the fraud and lax standards in the fundamental loans backing the mortgage securities, or were willing to acknowledge it, the fiasco would not have occurred.
A refreshing insight into the analysis of Corporate and Commercial Credit and the management of the portfolio.
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 need for "back to basics" information about credit risk has not disappeared; in fact, it has grown among lenders and investors who have no easy ways to learn about their clients. This short and readable book guides readers through core risk/performance issues. Readers learn the ways and means of running more efficient businesses, review bank and investor requirements as they evaluate funding requests, gain knowledge selling themselves, confidence in business plans, and their ability to make good on loans. They can download powerful tools such as banker's cash flow models and forecast equations programmable into a cell or tablet. Readers can punch keys to ascertain financial needs, calculate sales growth rates calling for external financing, profits required to internally finance their firms, and ways to position revenue growth rates in equilibrium with their firm's capital structure – a rock-solid selling point among smart lenders and investors. The book's "how-to," practical and systematical guide to credit and risk analysis draws upon case studies and online tools, such as videos, spreadsheets, and slides in providing a concise risk/return methodology. - Introduces ways to define and manage risk - Uses case studies and online tools to extend and apply credit analysis and business management tools - Surveys "hard" and "soft" data and ways they help lenders, other financiers, small-business owners, and entrepreneurs spot potential problems, write optimal business plans, and deliver effective loan or /investor geared presentations
Credit Risk Assessment The New Lending System for Borrowers, Lenders, and Investors Credit Risk Assessment: The New Lending System for Borrowers, Lenders, and Investors equips you with an effective comprehensive credit assessment framework (CCAF) that can provide early warning of risk, thanks to its forward-looking analyses that do not rely on the premise that the past determines the future. Revealing how an existing credit underwriting system can be extended to embrace all relevant factors and business contexts in order to accurately classify credit risk and drive all transactions in a transparent manner, Credit Risk Assessment clearly lays out the facts. This well-timed book explores how your company can improve its current credit assessment system to balance risk and return and prevent future financial disruptions. Describing how a new and comprehensive lending framework can achieve more complete and accurate credit risk assessment while improving loan transparency, affordability, and performance, Credit Risk Assessment addresses: How a CCAF connects borrowers, lenders, and investors with greater transparency The current financial crisis and its implications The root cause to weaknesses in loan underwriting practices and lending systems The main drivers that undermine borrowers, lenders, and investors Why a new generation of lending systems is needed Market requirements and how a comprehensive risk assessment framework can meet them The notion of an underwriting gap and how it affects the lenders' underwriting practices Typical issues associated with credit scoring models How improper use of credit scoring in underwriting underestimates the borrower's credit risk The ways in which the current lending system fails to address loan affordability How mortgage and capital market financial innovation relates to the crisis