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| Author | : |
| Publisher | : Lulu.com |
| Total Pages | : 294 |
| Release | : 2004 |
| Genre | : Bank capital |
| ISBN | : 9291316695 |
| Author | : Donald R. Van Deventer |
| Publisher | : Wiley |
| Total Pages | : 0 |
| Release | : 2003-06-25 |
| Genre | : Business & Economics |
| ISBN | : 9780470820919 |
The Bank for International Settlements is only 1-2 years away from effectively requiring all major financial institutions in the world to use a sophisticated credit models. The most widely used model is based on the 1974 Merton model of risky debt. A more recent extension of the Merton model of risky debt is the Shimko, Tejima and van Deventer (1993) model, which allows for simultaneous analysis of credit risk and interest rate risk. Increasingly, however, bankers are turning to a newer class of models called "reduced form credit models" because of their analytical power for both complex derivatives like credit derivatives and the mark to market of loans on a credit adjusted basis. The Basel Capital Accords place a heavy emphasis on financial institutions' ability to assess credit risk. In this book, two of the world's best-known risk management experts assess both the Merton model and reduced form credit models and show exactly how to measure model performance as the Basel Accords require. They use the same tests to assess the likely effectiveness of the Basel Capital Accords in measuring the safety and soundness of financial institutions. The authors go into great detail in assessing the ability of leading credit models to evaluate collateralized debt obligations, loan commitments, collateralized loans, as well as retail and small business loan portfolios. Credit Risk Models and the Basel Accords reviews the objectives of the credit risk management process, introduces the theory of the Merton and reduced form credit models, shows how the models can be used in practice, and then examines a wide range of historical data to show the relative performance of the models in practice. This book offers a balanced review of the newer reduced form models and the older Merton model. It is an invaluable guide for financial institutions striving to meet the requirements of the new Basel Accord. It is a book that thoroughly reviews the pros and cons of both classes of credit model. The Basel Accords ensure that financial institutions do more than just "have" a model - they must also understand how they work. This book will help to fulfill that requirement of the new Basel Accords.
| Author | : Bart Baesens |
| Publisher | : John Wiley & Sons |
| Total Pages | : 517 |
| Release | : 2016-10-03 |
| Genre | : Business & Economics |
| ISBN | : 1119143985 |
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.
| Author | : Georg Bol |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 334 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642593658 |
New developments in measuring, evaluating and managing credit risk are discussed in this volume. Addressing both practitioners in the banking sector and resesarch institutions, the book provides a manifold view on one of the most-discussed topics in finance. Among the subjects treated are important issues, such as: the consequences of the new Basel Capital Accord (Basel II), different applications of credit risk models, and new methodologies in rating and measuring credit portfolio risk. The volume provides an overview of recent developments as well as future trends: a state-of-the-art compendium in the area of credit risk.
| Author | : S. Scandizzo |
| Publisher | : Springer |
| Total Pages | : 242 |
| Release | : 2016-07-01 |
| Genre | : Business & Economics |
| ISBN | : 1137436964 |
This book is a one-stop-shop reference for risk management practitioners involved in the validation of risk models. It is a comprehensive manual about the tools, techniques and processes to be followed, focused on all the models that are relevant in the capital requirements and supervisory review of large international banks.
| Author | : Tony Van Gestel |
| Publisher | : OUP Oxford |
| Total Pages | : 552 |
| Release | : 2008-10-23 |
| Genre | : Mathematics |
| ISBN | : 0191609307 |
Credit Risk Management: Basic Concepts is the first book of a series of three with the objective of providing an overview of all aspects, steps, and issues that should be considered when undertaking credit risk management, including the Basel II Capital Accord, which all major banks must comply with in 2008. The introduction of the recently suggested Basel II Capital Accord has raised many issues and concerns about how to appropriately manage credit risk. Managing credit risk is one of the next big challenges facing financial institutions. The importance and relevance of efficiently managing credit risk is evident from the huge investments that many financial institutions are making in this area, the booming credit industry in emerging economies (e.g. Brazil, China, India, ...), the many events (courses, seminars, workshops, ...) that are being organised on this topic, and the emergence of new academic journals and magazines in the field (e.g. Journal of Credit Risk, Journal of Risk Model Validation, Journal of Risk Management in Financial Institutions, ...). Basic Concepts provides the introduction to the concepts, techniques, and practical examples to guide both young and experienced practitioners and academics in the fascinating, but complex world of risk modelling. Financial risk management, an area of increasing importance with the recent Basel II developments, is discussed in terms of practical business impact and the increasing profitability competition, laying the foundation for books II and III.
| Author | : Stefan Trueck |
| Publisher | : Academic Press |
| Total Pages | : 279 |
| Release | : 2009-01-15 |
| Genre | : Business & Economics |
| ISBN | : 0080920306 |
In the last decade rating-based models have become very popular in credit risk management. These systems use the rating of a company as the decisive variable to evaluate the default risk of a bond or loan. The popularity is due to the straightforwardness of the approach, and to the upcoming new capital accord (Basel II), which allows banks to base their capital requirements on internal as well as external rating systems. Because of this, sophisticated credit risk models are being developed or demanded by banks to assess the risk of their credit portfolio better by recognizing the different underlying sources of risk. As a consequence, not only default probabilities for certain rating categories but also the probabilities of moving from one rating state to another are important issues in such models for risk management and pricing. It is widely accepted that rating migrations and default probabilities show significant variations through time due to macroeconomics conditions or the business cycle. These changes in migration behavior may have a substantial impact on the value-at-risk (VAR) of a credit portfolio or the prices of credit derivatives such as collateralized debt obligations (D+CDOs). In Rating Based Modeling of Credit Risk the authors develop a much more sophisticated analysis of migration behavior. Their contribution of more sophisticated techniques to measure and forecast changes in migration behavior as well as determining adequate estimators for transition matrices is a major contribution to rating based credit modeling. Internal ratings-based systems are widely used in banks to calculate their value-at-risk (VAR) in order to determine their capital requirements for loan and bond portfolios under Basel II One aspect of these ratings systems is credit migrations, addressed in a systematic and comprehensive way for the first time in this book The book is based on in-depth work by Trueck and Rachev
| Author | : |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2003 |
| Genre | : |
| ISBN | : |
| Author | : Vanessa Le Leslé |
| Publisher | : International Monetary Fund |
| Total Pages | : 50 |
| Release | : 2012-03-01 |
| Genre | : Business & Economics |
| ISBN | : 1475502656 |
In this paper, we provide an overview of the concerns surrounding the variations in the calculation of risk-weighted assets (RWAs) across banks and jurisdictions and how this might undermine the Basel III capital adequacy framework. We discuss the key drivers behind the differences in these calculations, drawing upon a sample of systemically important banks from Europe, North America, and Asia Pacific. We then discuss a range of policy options that could be explored to fix the actual and perceived problems with RWAs, and improve the use of risk-sensitive capital ratios.
| Author | : Colin Chen |
| Publisher | : Springer Nature |
| Total Pages | : 404 |
| Release | : |
| Genre | : |
| ISBN | : 3031525426 |
