Cover image for Stress Testing for Risk Control Under Basel II : Methodologies for Measuring Stress Probability of Default, Stress Loss Given Default, and Stress Exposure to Default.
Stress Testing for Risk Control Under Basel II : Methodologies for Measuring Stress Probability of Default, Stress Loss Given Default, and Stress Exposure to Default.
Title:
Stress Testing for Risk Control Under Basel II : Methodologies for Measuring Stress Probability of Default, Stress Loss Given Default, and Stress Exposure to Default.
Author:
Chorafas, Dimitris N.
ISBN:
9780080467054
Personal Author:
Physical Description:
1 online resource (355 pages)
Contents:
Front Cover -- Stress Testing for Risk Control under Basel II -- Copyright Page -- Table of Contents -- Preface -- Warning -- Part 1 Stress testing defined -- Chapter 1 The need for advanced testing methodology -- 1.1 Introduction -- 1.2 Risk distributions and extreme events -- 1.3 Model uncertainty in simulation and testing -- 1.4 Stress testing and the need for transparency -- 1.5 Stress testing and confidence intervals -- 1.6 Advanced testing methodology for better governance -- 1.7 An introduction to the role of information technology in gaining competitiveness -- Notes -- Chapter 2 Risk and its management -- 2.1 Introduction -- 2.2 Risk defined -- 2.3 Risk associated with the counterparty -- 2.4 Market risk and its variants -- 2.5 Risk appetite and risk aversion -- 2.6 Systemic risk and event risk -- 2.7 Developing a system for risk management -- Notes -- Chapter 3 The dynamics of stress testing -- 3.1 Introduction -- 3.2 Stress testing defined -- 3.3 Advanced testing and new financial instruments -- 3.4 What is the benefit of stress testing? -- 3.5 Scenarios, sensitivity analysis and statistical inference -- 3.6 Capital at risk under extreme conditions: an example -- 3.7 Stress testing and the devil's advocate -- 3.8 Advice on implementing the stress test -- Notes -- Chapter 4 Stress analysis and its tools -- 4.1 Introduction -- 4.2 The need for a scientific approach -- 4.3 Science and the scientific method -- 4.4 Fundamentals of stress analysis -- 4.5 Case studies with scenario analysis -- 4.6 Using the Delphi method -- 4.7 Stress evaluation through sensitivity analysis -- 4.8 Fundamentals of statistical inference -- Notes -- Chapter 5 Worst case scenarios and drills -- 5.1 Introduction -- 5.2 Worst cases happen when chance meets unpreparedness -- 5.3 A bird's-eye view of worst case analysis.

5.4 Impaired claims, credit risk and worst case -- 5.5 Why are worst case drills important? -- 5.6 A catastrophe drill undertaken by the International Monetary Fund in 2002 -- 5.7 The Federal Reserve's 'new bank' and the carry trade -- 5.8 The nature of worst case drills is polyvalent -- Notes -- Chapter 6 Technology strategy for advanced testing -- 6.1 Introduction -- 6.2 Managing a successful technology effort -- 6.3 Innovation and survival of the fittest -- 6.4 A phase-shift technology strategy -- 6.5 Re-engineering information technology is not an option -- it is a 'must' -- 6.6 Projecting and implementing an enterprise architecture -- 6.7 Strategic planning should account for information technology's deliverables -- Notes -- Part 2 Stress testing probability of default, loss given default and exposure at default -- Chapter 7 Models and procedures for the study of volatility patterns -- 7.1 Introduction -- 7.2 Volatility defined -- 7.3 Keeping volatility in perspective -- 7.4 Improving volatility models through heteroschedasticity -- 7.5 Procedural insufficiency among financial institutions and individual investors -- 7.6 Algorithmic insufficiency: a case study with value at risk -- 7.7 The volatility of credit ratings: a case study with General Motors and General Motors Acceptance Corporation -- 7.8 Risk estimates based on volatile probability of default -- Notes -- Chapter 8 Stress testing creditworthiness -- 8.1 Introduction -- 8.2 Credit risk defined -- 8.3 Credit standards and default likelihood -- 8.4 The discriminatory ability of power curves -- 8.5 The predictive power of distance to default -- 8.6 The risk of unwillingness to perform -- 8.7 Case study: the stakeholders of TeleDenmark -- 8.8 A lesson for stress testers: loss of creditworthiness has many fathers -- Notes -- Chapter 9 Stress probability of default -- 9.1 Introduction.

9.2 Probability of default and liquidity stress testing -- 9.3 Concentrations of exposure and credit risk measurement -- 9.4 Probability of default and stress probability of default -- 9.5 Estimating probability of default through probability of default buckets -- 9.6 Errors in probability of default estimates and the role of benchmarking -- 9.7 The many aspects of confidence placed on a test -- Notes -- Chapter 10 Stress loss given default and stress exposure at default -- 10.1 Introduction -- 10.2 Loss given default and exposure at default -- 10.3 The challenge of computing stress loss given default -- 10.4 Stress loss given default and ability to perform -- 10.5 Stress exposure at default -- 10.6 Point-in-time and through-the-cycle probability of default -- 10.7 Stress testing legal risk -- 10.8 Stress testing other operational risks -- Notes -- Chapter 11 Counterparty credit risk, transfer of credit risk and wrong-way risk -- 11.1 Introduction -- 11.2 Counterparty credit risk -- 11.3 Methods for handling counterparty credit risk -- 11.4 Expected positive exposure and cross-product netting -- 11.5 Maturity parameters -- 11.6 Credit risk mitigation: collateral and haircuts -- 11.7 Credit risk mitigation: new techniques -- 11.8 Double default: general and specific wrong-way risk -- Notes -- Part 3 Expected and unexpected losses -- Chapter 12 Stress testing expected losses -- 12.1 Introduction -- 12.2 Bird's-eye view of expected and unexpected losses -- 12.3 Stress testing regulatory capital requirements for expected losses -- 12.4 Back to basics: do we know the reason for credit losses? -- 12.5 Contribution of rating agencies to prognostication of expected losses -- 12.6 How to handle expected losses from lending -- 12.7 The results of the fifth Quantitative Impact Study -- 12.8 Thinking about models for credit risk.

12.9 Strengths and weaknesses of credit risk models -- Notes -- Chapter 13 Analysing the reasons for unexpected losses -- 13.1 Introduction -- 13.2 Unexpected risks confront every enterprise -- 13.3 Impact of macroeconomic developments -- 13.4 Risk drivers targeted by macro stress tests -- 13.5 Stress testing macroeconomic risks and opportunities -- 13.6 Stress testing financial instruments: a case study with interest rates -- 13.7 Stress testing for unexpected losses from business risk -- Notes -- Chapter 14 Economic capital and algorithms for stress testing unexpected losses -- 14.1 Introduction -- 14.2 Economic capital for credit rating and unexpected losses -- 14.3 Capital beyond loan-loss provisions -- 14.4 Wrong correlations magnify unexpected losses -- 14.5 The missing algorithm for unexpected losses -- 14.6 Qualitative scenario for unexpected losses -- 14.7 The board needs tools to appreciate the value of assets -- Notes -- Chapter 15 Stress testing leveraged and volatile financial assets -- 15.1 Introduction -- 15.2 Hedge funds: an industry born in the 1940s -- 15.3 Stress testing highly leveraged institutions -- 15.4 The proliferation of hedge funds and testing their risks -- 15.5 The exposure of credit institutions to highly leveraged institutions -- 15.6 Supervision of highly leveraged institutions -- 15.7 Highly leveraged institutions at the peak of their might: No! to regulation -- 15.8 The drama unfolds: highly leveraged institutions fire the boss of the Securities and Exchange Commission -- Notes -- Chapter 16 Advanced testing provides a basis for better governance -- 16.1 Introduction -- 16.2 A concept for better corporate governance -- 16.3 The contribution of strategic thinking -- 16.4 Use of threat curves and S-curves: an example from the insurance industry -- 16.5 An oil industry case study on risk factors and their background.

16.6 Pillar 2 and Pillar 3 require an enterprise-wide risk discipline -- 16.7 The exercise of market discipline is a significant step in supervision -- 16.8 Use of stress testing by central banks and regulators, for better governance reasons -- Notes -- Index.
Abstract:
The Consultative paper issued by the Basel Committee on Banking Supervision (Basel II) cites the failure of bankers to adequately stress test exposures as a major reason for bad loans. Sample quotes from this crucial document: * "Banks should take into consideration potential future changes in economic conditions when assessing individual credits and their credit portfolios, and should assess their credit risk exposures under stressful conditions." * "The recent disturbances in Asia and Russia illustrate how close linkages among emerging markets under stress conditions and previously undetected correlations between market and credit risks, as well as between those risks and liquidity risk, can produce widespread losses." * "Effective stress testing which takes account of business or product cycle effects is one approach to incorporating into credit decisions a fuller understanding of a borrower's credit risk." Written for professionals in financial services with responsibility for IT and risk measurement, management, and modeling, Dimitris Chorafas explains in clear language the testing methodology necessary for risk control to meet Basel II requirements. Stress testing is the core focus of the book, covering stress analysis and the use of scenarios, models, drills, benchmarking, backtesting, and post-mortems, creditworthiness, wrong way risk and statistical inference, probability of default, loss given default and exposure at default, stress testing expected losses, correlation coefficients, and unexpected losses, stress testing related to market discipline and control action, and pillars 2 and 3 of Basel II. * Written in clear, straightforward style with numerous practical examples * Based on five years of development and research * Focuses on stress probability of default, stress loss given default, stsress exposure at default.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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