Using the factor analysis of information risk (FAIR) methodology developed over ten years and adopted by corporations worldwide, Measuring and Managing Information Risk provides a proven and credible framework for understanding, measuring, and analyzing information risk of any size or complexity. Intended for organizations that need to either build a risk management program from the ground up or strengthen an existing one, this book provides a unique and fresh perspective on how to do a basic quantitative risk analysis. Covering such key areas as risk theory, risk calculation, scenario modeling, and communicating risk within the organization, Measuring and Managing Information Risk helps managers make better business decisions by understanding their organizational risk. - Uses factor analysis of information risk (FAIR) as a methodology for measuring and managing risk in any organization. - Carefully balances theory with practical applicability and relevant stories of successful implementation. - Includes examples from a wide variety of businesses and situations presented in an accessible writing style.
Ch. 1. An evolutionary perspective on the concept of risk, uncertainty and risk management / Oliviero Roggi and Omar Ottonelli -- ch. 2. Toward a bottom-up approach to assessing sovereign default risk: an update / Edward I. Altman and Herbert Rijken -- ch. 3. Measuring systemic risk / Viral V. Acharya ... [et al.] -- ch. 4. Taxing systemic risk / Viral V. Acharya ... [et al.] -- ch. 5. Liquidity and efficiency in three related foreign exchange options markets / Menachem Brenner and Ben Z. Schreiber -- ch. 6. Illiquidity or credit deterioration: a study of liquidity in the US corporate bond market during financial crises / Nils Friewald, Rainer Jankowitsch and Marti G. Subrahmanyam -- ch. 7. Integrated wealth and risk management: first principles / Zvi Bodie -- ch. 8. Analyzing the impact of effective risk management: innovation and capital structure effects / Torben Juul Andersen -- ch. 9. Modeling credit risk for SMEs: evidence from the US market / Edward I. Altman and Gabriele Sabato -- ch. 10. SME rating: risk globally, measure locally / Oliviero Roggi and Alessandro Giannozzi -- ch. 11. Credit loss and systematic LGD / Jon Frye and Michael Jacobs Jr. -- ch. 12. Equity risk premiums (ERP): determinants, estimation and implications - the 2012 edition / Aswath Damodaran -- ch. 13. Stock market crashes in 2007-2009: were we able to predict them? / Sébastien Lleo and William T. Ziemba
This book is the first in the market to treat single- and multi-period risk measures (risk functionals) in a thorough, comprehensive manner. It combines the treatment of properties of the risk measures with the related aspects of decision making under risk.The book introduces the theory of risk measures in a mathematically sound way. It contains properties, characterizations and representations of risk functionals for single-period and multi-period activities, and also shows the embedding of such functionals in decision models and the properties of these models.
A step-by-step guidebook for understanding—and implementing—integrated financial risk measurement and management The Fundamentals of Risk Measurement introduces the state-of-the-art tools and practices necessary for planning, executing, and maintaining risk management in today’s volatile financial environment. This comprehensive book provides description and analysis of topics including: Economic capital Risk adjusted return on capital (RAROC) Shareholder Value Added (SVA) Value at Risk (VaR) Asset/liability management (ALM) Credit risk for a single facility Credit risk for portfolios Operating risk Inter-risk diversification The Basel Committee Capital Accords The banking world is driven by risk. The Fundamentals of Risk Measurement shows you how to quantify that risk, outlining an integrated framework for risk measurement and management that is straightforward, practical for implementation, and based on the realities of today’s tumultuous global marketplace. “Banks make money in one of two ways: providing services to customers and taking risks. In this book, we address the business of making money by taking risk....”—From the Introduction In The Fundamentals of Risk Measurement, financial industry veteran Chris Marrison examines what banks must do to succeed in the business of making money by taking risk. Encompassing the three primary areas of banking risk—market, credit, and operational—and doing so in a uniquely intuitive, step-by-step format, Marrison provides hands-on details on the primary tools for financial risk measurement and management, including: Plain-English evaluation of specific risk measurement tools and techniques Use of Value at Risk (VaR) for assessment of market risk for trading operations Asset/liability management (ALM) techniques, transfer pricing, and managing market and liquidity risk The many available methods for analyzing portfolios of credit risks Using RAROC to compare the risk-adjusted profitability of businesses and price transactions In addition, woven throughout The Fundamentals of Risk Measurement are principles underlying the regulatory capital requirements of the Basel Committee on Banking Supervision, and what banks must do to understand and implement them. The requirements are defined, implications of the New Capital Accord are presented, and the major steps that a bank must take to implement the New Accord are discussed. The resulting thumbnail sketch of the Basel Committee, and specifically the New Capital Accord, is valuable as both a ready reference and a foundation for further study of this important initiative. Risk is unavoidable in the financial industry. It can, however, be measured and managed to provide the greatest risk-adjusted return, and limit the negative impacts of risk to a bank’s shareholders as well as potential borrowers and lenders. The Fundamentals of Risk Management provides risk managers with an approach to risk-taking that is both informed and prudent, one that shows operations managers how to control risk exposures as it allows decision-making executives to direct resources to opportunities that are expected to create maximum return with minimum risk. The result is today’s most complete introduction to the business of risk, and a valuable reference for anyone from the floor trader to the officer in charge of overseeing the entire risk management operation.
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.
State of the art risk management techniques and practices—supplemented with interactive analytics All too often risk management books focus on risk measurement details without taking a broader view. Quantitative Risk Management delivers a synthesis of common sense management together with the cutting-edge tools of modern theory. This book presents a road map for tactical and strategic decision making designed to control risk and capitalize on opportunities. Most provocatively it challenges the conventional wisdom that "risk management" is or ever should be delegated to a separate department. Good managers have always known that managing risk is central to a financial firm and must be the responsibility of anyone who contributes to the profit of the firm. A guide to risk management for financial firms and managers in the post-crisis world, Quantitative Risk Management updates the techniques and tools used to measure and monitor risk. These are often mathematical and specialized, but the ideas are simple. The book starts with how we think about risk and uncertainty, then turns to a practical explanation of how risk is measured in today's complex financial markets. Covers everything from risk measures, probability, and regulatory issues to portfolio risk analytics and reporting Includes interactive graphs and computer code for portfolio risk and analytics Explains why tactical and strategic decisions must be made at every level of the firm and portfolio Providing the models, tools, and techniques firms need to build the best risk management practices, Quantitative Risk Management is an essential volume from an experienced manager and quantitative analyst.
Key readings in risk management from CFA Institute, the preeminent organization representing financial analysts Risk management may have been the single most important topic in finance over the past two decades. To appreciate its complexity, one must understand the art as well as the science behind it. Risk Management: Foundations for a Changing Financial World provides investment professionals with a solid framework for understanding the theory, philosophy, and development of the practice of risk management by Outlining the evolution of risk management and how the discipline has adapted to address the future of managing risk Covering the full range of risk management issues, including firm, portfolio, and credit risk management Examining the various aspects of measuring risk and the practical aspects of managing risk Including key writings from leading risk management practitioners and academics, such as Andrew Lo, Robert Merton, John Bogle, and Richard Bookstaber For financial analysts, money managers, and others in the finance industry, this book offers an in-depth understanding of the critical topics and issues in risk management that are most important to today’s investment professionals.
This book covers Operational Risk Management (ORM), in the current context, and its new role in the risk management field. The concept of operational risk is subject to a wide discussion also in the field of ORM’s literature, which has increased throughout the years. By analyzing different methodologies that try to integrate qualitative and quantitative data or different measurement approaches, the authors explore the methodological framework, the assumptions, statistical tool, and the main results of an operational risk model projected by intermediaries. A guide for academics and students, the book also discusses the avenue of mitigation acts, suggested by the main results of the methodologies applied. The book will appeal to students, academics, and financial supervisory and regulatory authorities.
A fully up-to-date, cutting-edge guide to the measurement and management of liquidity risk Written for front and middle office risk management and quantitative practitioners, this book provides the ground-level knowledge, tools, and techniques for effective liquidity risk management. Highly practical, though thoroughly grounded in theory, the book begins with the basics of liquidity risks and, using examples pulled from the recent financial crisis, how they manifest themselves in financial institutions. The book then goes on to look at tools which can be used to measure liquidity risk, discussing risk monitoring and the different models used, notably financial variables models, credit variables models, and behavioural variables models, and then at managing these risks. As well as looking at the tools necessary for effective measurement and management, the book also looks at and discusses current regulation and the implication of new Basel regulations on management procedures and tools.
Quantitative methods have revolutionized the area of trading, regulation, risk management, portfolio construction, asset pricing and treasury activities, and governmental activity such as central banking to name but some of the applications. Downside-risk, as a quantitative method, is an accurate measurement of investment risk, because it captures the risk of not accomplishing the investor's goal. 'Downside Risk in Financial Markets' demonstrates how downside-risk can produce better results in performance measurement and asset allocation than variance modelling. Theory, as well as the practical issues involved in its implementation, is covered and the arguments put forward emphatically show the superiority of downside risk models to variance models in terms of risk measurement and decision making. Variance considers all uncertainty to be risky. Downside-risk only considers returns below that needed to accomplish the investor's goal, to be risky. Risk is one of the biggest issues facing the financial markets today. 'Downside Risk in Financial Markets' outlines the major issues for Investment Managers and focuses on "downside-risk" as a key activity in managing risk in investment/portfolio management. Managing risk is now THE paramount topic within the financial sector and recurring losses through the 1990s has shocked financial institutions into placing much greater emphasis on risk management and control. Free Software Enclosed To help you implement the knowledge you will gain from reading this book, a CD is enclosed that contains free software programs that were previously only available to institutional investors under special licensing agreement to The pension Research Institute. This is our contribution to the advancement of professionalism in portfolio management. The Forsey-Sortino model is an executable program that: 1. Runs on any PC without the need of any additional software. 2. Uses the bootstrap procedure developed by Dr. Bradley Effron at Stanford University to uncover what could have happened, instead of relying only on what did happen in the past. This is the best procedure we know of for describing the nature of uncertainty in financial markets. 3. Fits a three parameter lognormal distribution to the bootstrapped data to allow downside risk to be calculated from a continuous distribution. This improves the efficacy of the downside risk estimates. 4. Calculates upside potential and downside risk from monthly returns on any portfolio manager. 5. Calculates upside potential and downside risk from any user defined distribution. Forsey-Sortino Source Code: 1. The source code, written in Visual Basic 5.0, is provided for institutional investors who want to add these calculations to their existing financial services. 2. No royalties are required for this source code, providing institutions inform clients of the source of these calculations. A growing number of services are now calculating downside risk in a manner that we are not comfortable with. Therefore, we want investors to know when downside risk and upside potential are calculated in accordance with the methodology described in this book. Riddles Spreadsheet: 1. Neil Riddles, former Senior Vice President and Director of Performance Analysis at Templeton Global Advisors, now COO at Hansberger Global Advisors Inc., offers a free spreadsheet in excel format. 2. The spreadsheet calculates downside risk and upside potential relative to the returns on an index Brings together a range of relevant material, not currently available in a single volume source. Provides practical information on how financial organisations can use downside risk techniques and technological developments to effectively manage risk in their portfolio management. Provides a rigorous theoretical underpinning for the use of downside risk techniques. This is important for the long-run acceptance of the methodology, since such arguments justify consultant's recommendations to pension funds and other plan sponsors.
