Measuring Market Risk with Value at Risk PDF Download

Author: Pietro Penza
Publisher: John Wiley & Sons
ISBN: 9780471393139
Category : Business & Economics
Languages : en
Pages : 324

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Book Description
"This book, Measuring Market Risk with Value at Risk by Vipul Bansal and Pietro Penza, has three advantages over earlier works on the subject. First, it takes a decidedly global approach-an essential ingredient for any comprehensive work on market risk. Second, it ties the scientifically grounded, yet intuitively appealing, VaR measure to earlier, more idiosyncratic measures of market risk that are used in specific market environs (e.g., duration in fixed income). Finally, it encompasses all of the accepted approaches to calculating a VaR measure and presents them in a clearly explained fashion with supporting illustrations and completely worked-out examples." -from the Foreword by John F. Marshall, PhD, Principal, Marshall, Tucker & Associates, LLC "Measuring Market Risk with Value at Risk offers a much-needed intellectual bridge, a translation from the esoteric realm of mathematical finance to the domain of financial managers who seek guidance in applying developments from this important field of research as well as that of MBA-level graduate instruction. I believe the authors have done a commendable job of providing a carefully crafted, highly readable, and most useful work, and intend to recommend it to all those involved in business risk management applications." -Anthony F. Herbst, PhD, Professor of Finance and C.R. and D.S. Carter Chair, The University of Texas, El Paso and Founding editor of The Journal of Financial Engineering (1991-1998) "Finally there's a book that strikes a balance between rigor and application in the area of risk management in the banking industry. This innovative book is a MUST for both novices and professionals alike." -Robert P. Yuyuenyongwatana, PhD, Associate Professor of Finance, Cameron University "Measuring Market Risk with Value at Risk is one of the most complete discussions of this emerging topic in finance that I have seen. The authors develop a logical and rigorous framework for using VaR models, providing both historical references and analytical applications." -Kevin Wynne, PhD, Associate Professor of Finance, Lubin School of Business, Pace University

Author: Kevin Dowd
Publisher: John Wiley & Sons
ISBN: 0470855215
Category : Business & Economics
Languages : en
Pages : 395

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Book Description
The most up-to-date resource on market risk methodologies Financial professionals in both the front and back office require an understanding of market risk and how to manage it. Measuring Market Risk provides this understanding with an overview of the most recent innovations in Value at Risk (VaR) and Expected Tail Loss (ETL) estimation. This book is filled with clear and accessible explanations of complex issues that arise in risk measuring-from parametric versus nonparametric estimation to incre-mental and component risks. Measuring Market Risk also includes accompanying software written in Matlab—allowing the reader to simulate and run the examples in the book.

Author: Kevin Dowd
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 400

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Book Description
CD-ROM contains: MATLAB folder of risk measurement functions -- Examples in Excel/VBA.

Author: Kevin Dowd
Publisher: John Wiley & Sons
ISBN: 0470016515
Category : Business & Economics
Languages : en
Pages : 410

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Book Description
Fully revised and restructured, Measuring Market Risk, Second Edition includes a new chapter on options risk management, as well as substantial new information on parametric risk, non-parametric measurements and liquidity risks, more practical information to help with specific calculations, and new examples including Q&A’s and case studies.

Author: Glyn A. Holton
Publisher:
ISBN: 9780123540102
Category : Business & Economics
Languages : en
Pages : 405

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Book Description
Value-at-risk (VaR) is a measure of market risk that has been widely adopted since the mid-1990s for use on trading floors. It describes how to design, implement, and use scalable production VaR measures on actual trading floors. Practical, detailed examples are drawn from markets around the world, including: Euro deposits, Pacific Basin equities, physical coffees, and North American natural gas. Real-world challenges relating to market data, portfolio mappings, multicollinearity, and intra-horizon events are addressed in detail. Exercises reinforce concepts and walk readers step-by-step through computations. Sophisticated techniques are fully disclosed, including: quadratic ("delta-gamma") methods for nonlinear portfolios, variance reduction (control variates and stratified sampling) for Monte Carlo VaR measures, principal component remappings, techniques to "fix" estimated covariance matrices that are not positive-definite, the Cornish-Fisher expansion, and orthogonal GARCH.

Author:
Publisher: Lulu.com
ISBN: 9291316695
Category : Bank capital
Languages : en
Pages : 294

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Book Description

Author: Philip Best
Publisher: John Wiley & Sons
ISBN: 0470865962
Category : Business & Economics
Languages : en
Pages : 224

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Book Description
Implementing Value at Risk Philip Best Value at Risk (VAR) is an estimate of the potential loss on a trading or investment portfolio. Its use has swept the banking world and is now accepted as an essential tool in any risk manager's briefcase. Perhaps the greatest strength of VAR is that it can cope with virtually all financial products, from simple securities through to complex exotic derivatives. This allows the risk taken, across diverse trading activities, to be compared. This said, VAR is no panacea. It is as critical to understand when the use of VAR is inappropriate as it is to understand the value VAR can add to a bank's understanding and control of its risks. This book aims to explain how VAR can be used as an integral part of a risk and business management framework, rather than as a stand-alone tool. The objectives of this book are to explain: What VAR is - and isn't! How to calculate VAR - the three main methods Why stress testing is needed to complement VAR How to make stress testing effective How to use VAR and stress testing to manage risk How to use VAR to improve a bank's performance VAR as a regulatory measure of risk and capital Risk management practitioners, general bank managers, consultants and students of finance and risk management will find this book, and the software package included, an invaluable addition to their library. Finance/Investment

Author: Christopher Marrison
Publisher: McGraw Hill Professional
ISBN: 9780071386272
Category : Business & Economics
Languages : en
Pages : 440

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Book Description
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.

Author: Philippe Jorion
Publisher: McGraw Hill Professional
ISBN: 0071736921
Category : Business & Economics
Languages : en
Pages : 624

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Book Description
Since its original publication, Value at Risk has become the industry standard in risk management. Now in its Third Edition, this international bestseller addresses the fundamental changes in the field that have occurred across the globe in recent years. Philippe Jorion provides the most current information needed to understand and implement VAR-as well as manage newer dimensions of financial risk. Featured updates include: An increased emphasis on operational risk Using VAR for integrated risk management and to measure economic capital Applications of VAR to risk budgeting in investment management Discussion of new risk-management techniques, including extreme value theory, principal components, and copulas Extensive coverage of the recently finalized Basel II capital adequacy rules for commercial banks, integrated throughout the book A major new feature of the Third Edition is the addition of short questions and exercises at the end of each chapter, making it even easier to check progress. Detailed answers are posted on the companion web site www.pjorion.com/var/. The web site contains other materials, including additional questions that course instructors can assign to their students. Jorion leaves no stone unturned, addressing the building blocks of VAR from computing and backtesting models to forecasting risk and correlations. He outlines the use of VAR to measure and control risk for trading, for investment management, and for enterprise-wide risk management. He also points out key pitfalls to watch out for in risk-management systems. The value-at-risk approach continues to improve worldwide standards for managing numerous types of risk. Now more than ever, professionals can depend on Value at Risk for comprehensive, authoritative counsel on VAR, its application, and its results-and to keep ahead of the curve.

Author: Jon Danielsson
Publisher: John Wiley & Sons
ISBN: 1119977118
Category : Business & Economics
Languages : en
Pages : 307

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Book Description
Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com – which features downloadable code as used in the book.