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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.
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.
Worldwide banks are keen to find ways of effectively measuring and managing operational risk , yet many find themselves poorly equipped to do this. Operational risk includes concerns about such issues as transaction processing errors, liability situations, and back-office failure. Measuring and Modelling Operational Risk focuses on the measuring and modelling techniques banks and investment companies need to quantify operational risk and provides practical, sensible solutions for doing so. * Author is one of the leading experts in the field of operational risk. * Interest in the field is growing rapidly and this is the only book that focuses on the quantitative measuring and modelling of operational risk. * Includes case vignettes and real-world examples based on the author's extensive experience.
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
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.
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.
This book introduces to basic and advanced methods for credit risk management. It covers classical debt instruments and modern financial markets products. The author describes not only standard rating and scoring methods like Classification Trees or Logistic Regression, but also less known models that are subject of ongoing research, like e.g. Support Vector Machines, Neural Networks, or Fuzzy Inference Systems. The book also illustrates financial and commodity markets and analyzes the principles of advanced credit risk modeling techniques and credit derivatives pricing methods. Particular attention is given to the challenges of counterparty risk management, Credit Valuation Adjustment (CVA) and the related regulatory Basel III requirements. As a conclusion, the book provides the reader with all the essential aspects of classical and modern credit risk management and modeling.
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