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Credit Risk Management

Author: Tony Van Gestel
Publisher: Oxford University Press
ISBN: 0199545111
Size: 48.50 MB
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Suitable for graduates, researchers and practitioners in mathematics, economics, and finance, Credit Risk Management: Basic Concepts lays the foundations of CRM, defining the basic risk concepts and providing an overview of a risk modelling process. It provides a thorough introduction to financial risk management, an area of increasing importance with the recent Basel II developments and the increasing profitability competition.

Credit Risk Management

Author: Tony Van Gestel
Publisher: OUP Oxford
ISBN: 0191562718
Size: 22.12 MB
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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.

Credit Risk Management Basic Concepts Financial Risk Components Rating Analysis Models Economic And Regulatory Capital

Author: Tony Van Gestel
Publisher: OUP Oxford
ISBN: 0191609307
Size: 41.29 MB
Format: PDF, ePub
View: 4481
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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.

Credit Risk Analytics

Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1119143985
Size: 21.26 MB
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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 Fundamentals Of Risk Measurement

Author: Christopher Marrison
Publisher: McGraw Hill Professional
ISBN: 9780071386272
Size: 66.20 MB
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TABLE OF CONTENTS Chapter 1: The Basics of Risk Management This chapter introduces how banks work. It describes how they make money, how they often lose money, and how they try to manage their losses. It includes thirteen short case studies showing how banks have lost money. Chapter 2: Risk Measurement at the Corporate Level: Economic Capital and RAROC Chapter Two discusses the meaning of capital and how the risks that a bank faces are related to the amount of capital that the bank should hold. It then describes the two fundamental building blocks of integrated risk measurement: Economic Capital and Risk Adjusted Return on Capital (RAROC). Chapter 3: Review of Statistics Chapter Three is useful for those readers who do not have a recent working knowledge of statistics. It reviews the statistical relationships that are commonly used in risk measurement and provides reference material for the rest of the book. Examples are provided using financial loss data. MARKET RISK SECTION Chapter 4: Background on Traded Instruments This chapter gives an overview of the main types of traded instruments: bonds, equities and derivatives. It gives a qualitative description of the instrument, examples of calculating the instrument’s value and the basic risk metrics such as duration and the Greeks. This chapter is useful for those readers who are new to the finance industry. Chapter 5: Market Risk Measurement This chapter describes the most common ways to measure market risks: Sensitivity analysis, Stress testing, Scenario testing, Sharpe Ratio and Value at Risk. It gives detailed examples of using each of the metrics. Chapter 6: The Three Common Approaches for Calculating Value at Risk Value at Risk (VaR) has become the standard approach for measuring market risk. This chapter is devoted to explaining the details of the three common approaches to calculating VaR: Parametric VaR, Historical VaR and Monte Carlo VaR. We work though increasingly complex examples and compare the strengths of each approach. (Note: many readers will be particularly interested in this chapter because the name “VaR” is well known and has a certain mystery) Chapter 7: Value at Risk Contribution The Value at Risk Contribution (VaRC) is a useful way of pinpointing the source of the portfolio’s risk. VaRC can break down the risk by instrument, trading desk or market risk factor. Examples are given for several types of VaRC. Chapter 8: Testing VaR Results to Ensure Proper Risk Measurement This chapter discusses the procedures required by regulators to backtest VaR calculators to check that their predictions of losses are consistent with market events. Chapter 9: Calculating Capital for Market Risk VaR is used as the basis for calculating both Regulatory Capital and Economic Capital for Market Risks. In this chapter VaR also extended to measure the risk of Asset Management operations. Chapter 10: Overcoming VaR Limitations Although VaR is the best single metric for market risks, is has several limitations. The limitations and typical solutions are discussed in this chapter. Chapter 11: The Management of Market Risk This chapter concludes the market risk section by describing how the results of risk measurement are used by management to identify the sources of risk. It also describes the process of setting VaR Limits. (Note: readers should be particularly interested in VaR Limits because it is difficult and an important element in controlling a bank’s risk). ASSET/LIABILITY MANGEMENT SECTION Chapter 12: Introduction to Asset Liability Management Asset Liability Management (ALM) is primarily concerned with the interest rate and liquidity risks that are created when commercial banks take in short term deposits from customers and give out long term loans. This chapter describes how those risks arise and the risk characteristics of different types of deposits and loans. Chapter 13: Measurement of Interest Rate Risk for ALM This chapter discussed the primary techniques used to measure interest rate risk: Gap reports, Rate shift scenarios and Simulations Chapter 14: Funding Liquidity Risk in ALM The measurement of liquidity risk is broken into three groups: expected, unusual and crisis events. Measurement techniques are given for each group. Chapter 15: Funds Transfer Pricing and the Management of ALM Risks A key use of asset/liability measurement is the calculation of the fair price at which funds should be lent from one department to another within a bank. This is one of the keys to integrated risk measurement and is a critical component in measuring risk-adjusted profitability and setting prices to customers. A typical balance sheet is used to illustrate how transfer pricing works in detail. CREDIT RISK SECTION Chapter 16: Introduction to Credit Risk This chapter discusses the sources of credit risk and how measurement is used to manage the risks Chapter 17: Types of Credit Structure For readers who are unfamiliar with lending operations, we discuss the ways that credit exposures are structured in commercial and retail lending. It also describes the calculation of credit exposure for derivatives trading operations and gives an overview of credit derivatives. Chapter 18: Risk Measurement for a Single Facility This chapter shows how the Expected Loss and Unexpected Loss for a loan can be calculated from the Probability of Default, Loss In the Event of Default, Exposure at Default and the Grade Migration Matrix. Chapter 19: Estimating Parameter Values for Single Facilities One of the main difficulties in credit risk measurement is the estimation of values for Probability of Default, Loss Given Default and Exposure at Default. This chapter discusses estimation techniques such as Discriminant Analysis and the Merton Model. It also gives parameter values that can be used as the basis for the reader’s own models. The parameter values are used in examples to demonstrate how the credit risk calculations are used. Chapter 20: Risk Measurement For A Credit Portfolio: Part One To estimate the overall risk for a portfolio many credit instruments, we must examine the correlation between losses. This chapter describes the Covariance Credit Portfolio Model and the different approaches available for estimating default correlations. It also describes how the correlations can be used to estimate the Unexpected Loss Contribution and the Economic Capital for a single facility within a portfolio. Chapter 21: Risk Measurement For A Credit Portfolio: Part Two This chapter describes the four other widely used approaches for estimating the risk of credit portfolios: the actuarial model, the Merton-based simulation model, the macro economic default model and the macro economic cashflow model used for structured and project finance. It concludes with a section describing how the models can be combined in a unified framework to create an integrated simulation of all the bank’s risks Chapter 22: Risk Adjusted Performance and Pricing for Loans Knowing the economic capital for a loan, this chapter shows how to calculate the minimum price that should be charged to a loan customer. The analysis shows how to include multi-year effects such as grade migration. Illustrative examples are included. (Note: this chapter should be of interest to readers because loan pricing is another difficult and important subject that is rarely discussed in other books) Chapter 23: Regulatory Capital for Credit Risk The Basel Committee on Banking Supervision (often called the BIS) is planning fundamental changes to the way that banks must calculate the capital that they hold. The new calculations will be very similar to the calculations described in the rest of this book for economic capital. This chapter summarizes the history of the Capital Accords then compares the different approaches that the BIS will allow. It also gives a standard plan for implementing the new Accords. (Note: this should be of interest to readers because the shift to BIS measurement is of major importance, it will be difficult for most banks, and it must be completed by 2005) OPERATING RISK SECTION Chapter 24: Operating risk The quantification of Operating Risks is on the frontier of the industry’s understanding of risk measurement. The risk estimation approaches can be categorized as either qualitative, structural or actuarial. These approaches are described including Key Risk Indicators and the BIS approaches. INTEGRATED RISK SECTION Chapter 25: Inter-risk Diversification and Bank-Level RAROC This chapter describes how all the models are linked to calculate Economic Capital and Risk Adjusted Profitability for the Bank as a whole. It concludes with of the steps normally required to implement the bank-wide measurement of Economic Capital and RAROC.pital and RAROC.

Financial Risk Management

Author: Jimmy Skoglund
Publisher: John Wiley & Sons
ISBN: 1119157242
Size: 72.52 MB
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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.

Risk Management And Shareholders Value In Banking

Author: Andrea Sironi
Publisher: John Wiley & Sons
ISBN: 9780470510735
Size: 34.53 MB
Format: PDF, Mobi
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This book presents an integrated framework for risk measurement, capital management and value creation in banks. Moving from the measurement of the risks facing a bank, it defines criteria and rules to support a corporate policy aimed at maximizing shareholders' value. Parts I - IV discuss different risk types (including interest rate, market, credit and operational risk) and how to assess the amount of capital they absorb by means of up-to-date, robust risk-measurement models. Part V surveys regulatory capital requirements: a special emphasis is given to the Basel II accord, discussing its economic foundations and managerial implications. Part VI presents models and techniques to calibrate the amount of economic capital at risk needed by the bank, to fine-tune its composition, to allocate it to risk-taking units, to estimate the "fair" return expected by shareholders, to monitor the value creation process. Risk Management and Shareholders' Value in Banking includes: * Value at Risk, Monte Carlo models, Creditrisk+, Creditmetrics and much more * formulae for risk-adjusted loan pricing and risk-adjusted performance measurement * extensive, hands-on Excel examples are provided on the companion website www.wiley.com/go/rmsv * a complete, up-to-date introduction to Basel II * focus on capital allocation, Raroc, EVA, cost of capital and other value-creation metrics

Analytics In A Big Data World

Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1118892747
Size: 56.21 MB
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The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

Analyzing Banking Risk

Author: Hennie van Greuning
Publisher: World Bank Publications
ISBN: 9780821378984
Size: 77.73 MB
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This book provides a comprehensive overview of topics focusing on assessment, analysis, and management of financial risks in banking. The publication emphasizes risk-management principles and stresses that key players in the corporate governance process are accountable for managing the different dimensions of financial risk. This third edition remains faithful to the objectives of the original publication. A significant new edition is the inclusion of chapters on the management of the treasury function. Advances made by the Basel Committee on Banking Supervision are reflected in the chapters on capital adequacy, transparency, and banking supervision. This publication should be of interest to a wide body of users of bank financial data. The target audience includes persons responsible for the analysis of banks and for the senior management or organizations directing their efforts.

Counterparty Credit Risk And Credit Value Adjustment

Author: Jon Gregory
Publisher: John Wiley & Sons
ISBN: 1118316665
Size: 80.22 MB
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A practical guide to counterparty risk management and credit value adjustment from a leading credit practitioner Please note that this second edition of Counterparty Credit Risk and Credit Value Adjustment has now been superseded by an updated version entitled The XVA Challenge: Counterparty Credit Risk, Funding, Collateral and Capital. Since the collapse of Lehman Brothers and the resultant realization of extensive counterparty risk across the global financial markets, the subject of counterparty risk has become an unavoidable issue for every financial institution. This book explains the emergence of counterparty risk and how financial institutions are developing capabilities for valuing it. It also covers portfolio management and hedging of credit value adjustment, debit value adjustment, and wrong-way counterparty risks. In addition, the book addresses the design and benefits of central clearing, a recent development in attempts to control the rapid growth of counterparty risk. This uniquely practical resource serves as an invaluable guide for market practitioners, policy makers, academics, and students.