The Basel II Risk Parameters

Author: Bernd Engelmann
Publisher: Springer Science & Business Media
ISBN: 9783642161148
Format: PDF
Download Now
The estimation and the validation of the Basel II risk parameters PD (default probability), LGD (loss given fault), and EAD (exposure at default) is an important problem in banking practice. These parameters are used on the one hand as inputs to credit portfolio models and in loan pricing frameworks, on the other to compute regulatory capital according to the new Basel rules. This book covers the state-of-the-art in designing and validating rating systems and default probability estimations. Furthermore, it presents techniques to estimate LGD and EAD and includes a chapter on stress testing of the Basel II risk parameters. The second edition is extended by three chapters explaining how the Basel II risk parameters can be used for building a framework for risk-adjusted pricing and risk management of loans.

The Basel II Risk Parameters

Author: Bernd Engelmann
Publisher: Springer Science & Business Media
ISBN: 3540330879
Format: PDF, ePub
Download Now
A critical problem in the practice of banking risk assessment is the estimation and validation of the Basel II risk parameters PD (default probability), LGD (loss given default), and EAD (exposure at default). This book presents the state-of-the-art in designing and validating rating systems and default probability estimations, and outlines techniques to estimate LGD and EAD. Also included is a chapter on stress testing of the Basel II risk parameters.

The Basel II Risk Parameters

Author: Bernd Engelmann
Publisher: Springer
ISBN:
Format: PDF, Docs
Download Now
The estimation and validation of the Basel II risk parameters PD (default probability), LGD (loss given default), and EAD (exposure at default) is an important problem in banking practice. These parameters are used on the one hand as inputs to credit portfolio models, on the other to compute regulatory capital according to the new Basel rules. The book covers the state-of-the-art in designing and validating rating systems and default probability estimations. Furthermore, it presents techniques to estimate LGD and EAD. A chapter on stress testing of the Basel II risk parameters concludes the monograph.

Credit Risk Analytics

Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1119143985
Format: PDF, ePub, Docs
Download Now
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.

Stress Testing and Risk Integration in Banks

Author: Tiziano Bellini
Publisher: Academic Press
ISBN: 0128036117
Format: PDF, ePub
Download Now
Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to highlight the key issues that a risk manager needs to face. A multi-national bank prototype is used all over the book for diving into market, credit, and operational stress testing. Interest rate, liquidity and other major risks are also studied together with the former to outline how to implement a fully integrated risk management toolkit. Examples, business cases, and exercises worked in Matlab and R facilitate readers to develop their own models and methodologies. Provides a rigorous statistical framework for modeling stress test in line with U.S. Federal Reserve FRB CCAR (Comprehensive Capital Analysis Review), U.K. PRA (Prudential Regulatory Authority), EBA (European Baning Authorithy) and comply with Basel Accord requirements Follows an integrated bottom-up approach central in the most advanced risk modelling practice Provides numerous sample codes in Matlab and R

Financial Risk Management

Author: Jimmy Skoglund
Publisher: John Wiley & Sons
ISBN: 1119135516
Format: PDF, Mobi
Download Now
A global banking risk management guide geared toward the practitioner Financial Risk Management presents an in-depth look at banking risk on a global scale, including comprehensive examination of the U.S. Comprehensive Capital Analysis and Review, and the European Banking Authority stress tests. Written by the leaders of global banking risk products and management at SAS, this book provides the most up-to-date information and expert insight into real risk management. The discussion begins with an overview of methods for computing and managing a variety of risk, then moves into a review of the economic foundation of modern risk management and the growing importance of model risk management. Market risk, portfolio credit risk, counterparty credit risk, liquidity risk, profitability analysis, stress testing, and others are dissected and examined, arming you with the strategies you need to construct a robust risk management system. The book takes readers through a journey from basic market risk analysis to major recent advances in all financial risk disciplines seen in the banking industry. The quantitative methodologies are developed with ample business case discussions and examples illustrating how they are used in practice. Chapters devoted to firmwide risk and stress testing cross reference the different methodologies developed for the specific risk areas and explain how they work together at firmwide level. Since risk regulations have driven a lot of the recent practices, the book also relates to the current global regulations in the financial risk areas. Risk management is one of the fastest growing segments of the banking industry, fueled by banks' fundamental intermediary role in the global economy and the industry's profit-driven increase in risk-seeking behavior. This book is the product of the authors' experience in developing and implementing risk analytics in banks around the globe, giving you a comprehensive, quantitative-oriented risk management guide specifically for the practitioner. Compute and manage market, credit, asset, and liability risk Perform macroeconomic stress testing and act on the results Get up to date on regulatory practices and model risk management Examine the structure and construction of financial risk systems Delve into funds transfer pricing, profitability analysis, and more Quantitative capability is increasing with lightning speed, both methodologically and technologically. Risk professionals must keep pace with the changes, and exploit every tool at their disposal. Financial Risk Management is the practitioner's guide to anticipating, mitigating, and preventing risk in the modern banking industry.

Next Generation Balance Sheet Stress Testing

Author: Mr. Christian Schmieder
Publisher: International Monetary Fund
ISBN: 1462307175
Format: PDF, ePub, Docs
Download Now
This paper presents a "second-generation" solvency stress testing framework extending applied stress testing work centered on Cihák (2007). The framework seeks enriching stress tests in terms of risk-sensitivity, while keeping them flexible, transparent, and user-friendly. The main contributions include (a) increasing the risk-sensitivity of stress testing by capturing changes in risk-weighted assets (RWAs) under stress, including for non-internal ratings based (IRB) banks (through a quasi-IRB approach); (b) providing stress testers with a comprehensive platform to use satellite models, and to define various assumptions and scenarios; (c) allowing stress testers to run multi-year scenarios (up to five years) for hundreds of banks, depending on the availability of data. The framework uses balance sheet data and is Excel-based with detailed guidance and documentation.

Revisiting Risk Weighted Assets

Author: Ms. Sofiya Avramova
Publisher: International Monetary Fund
ISBN: 1475510977
Format: PDF, ePub, Docs
Download Now
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.

Intelligent Credit Scoring

Author: Naeem Siddiqi
Publisher: John Wiley & Sons
ISBN: 1119279151
Format: PDF, ePub, Docs
Download Now
Chapter 11 Scorecard Development Process, Stage 5: Scorecard Management Reports -- Gains Table -- Characteristic Reports -- Chapter 12 Scorecard Development Process, Stage 6: Scorecard Implementation -- Pre-implementation Validation -- System Stability Report -- Characteristic Analysis Report -- What if the Scorecard Does Not Validate? -- Strategy Development -- General Considerations -- Scoring Strategy -- Setting Cutoffs -- Strategy Development Communication -- Risk-Adjusted Actions -- Policy Rules -- Overrides -- Notes -- Chapter 13 Validating Generic Vendor Scorecards -- Introduction -- Vendor Management Considerations -- Vendor Model Purpose -- Target Population -- Target Definition -- Sample Selection -- Model Estimation Methodology -- Transparency of Vendor Model Estimation -- Factor Selection -- Validation Assessment -- Vendor Model Implementation and Deployment -- Considerations for Ongoing Monitoring -- Examples of Vendor Disclosure Challenges -- Monitoring in Conjunction with Another Score -- Ongoing Quality Assurance of the Vendor -- Get Involved -- Appendix: Key Considerations for Vendor Scorecard Validations -- Notes -- Chapter 14 Scorecard Development Process, Stage 7: Post-implementation -- Scorecard and Portfolio Monitoring Reports -- Credit Application Analysis Reports -- Reacting to Changes -- Portfolio Performance Reports -- Review -- Notes -- Appendix A: Common Variables Used in Credit Scoring -- Appendix B: End-to-End Example of Scorecard Creation -- Bibliography -- About the Author -- About the Contributing Authors -- Index -- EULA