Wiley, 2006. 448 p. – ISBN: 0471760897, 9780471760894Discover how to optimize business strategies from both qualitative and quantitative points of view Operational Risk: Modeling Analytics is organized around the principle that the analysis of operational risk consists, in part, of the collection of data and the building of mathematical models to describe risk. This book is designed to provide risk analysts with a framework of the mathematical models and methods used in the measurement and modeling of operational risk in both the banking and insurance sectors. Beginning with a foundation for operational risk modeling and a focus on the modeling process, the book flows logically to discussion of probabilistic tools for operational risk modeling and statistical methods for calibrating models of operational risk. Exercises are included in chapters involving numerical computations for students' practice and reinforcement of concepts. Written by Harry Panjer, one of the foremost authorities in the world on risk modeling and its effects in business management, this is the first comprehensive book dedicated to the quantitative assessment of operational risk using the tools of probability, statistics, and actuarial science. In addition to providing great detail of the many probabilistic and statistical methods used in operational risk, this book features: Ample exercises to further elucidate the concepts in the text Definitive coverage of distribution functions and related concepts Models for the size of losses Models for frequency of loss Aggregate loss modeling Extreme value modeling Dependency modeling using copulas Statistical methods in model selection and calibration Assuming no previous expertise in either operational risk terminology or in mathematical statistics, the text is designed for beginning graduate-level courses on risk and operational management or enterprise risk management. This book is also useful as a reference for practitioners in both enterprise risk management and risk and operational management.
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Prmia Publications – 2005, 1301 pages
ISBN: 0976609703, 9780976609704
As its title implies, this book is the Handbook for the Professional Risk Manager. It is for those professionals who seek to demonstrate their skills in the field of financial risk management and for those looking simply for an excellent reference source. With contributions from nearly 40 leading authors,...
John Wiley & Sons, 2008. — 494 p. — (Market Risk Analysis, Vol. IV).
Value at Risk and Other Risk Metrics.
An Overview of Market Risk Assessment.
Risk Measurement in Banks.
Risk Measurement in Portfolio Management.
Risk Measurement in Large Corporations.
Downside and Quantile Risk Metrics.
Semi-Standard Deviation and Second Order Lower.
Wiley, 2013. — 579 p. — 2nd ed. — ISBN: 111817545X, 9781118175453
A top risk management practitioner addresses the essential aspects of modern financial risk management
In the Second Edition of Financial Risk Management + Website, market risk expert Steve Allen offers an insider's view of this discipline and covers the strategies, principles, and measurement techniques...
Nigel Da Costa Lewis. Operational Risk with Excel and VBA: Applied Statistical Methods for Risk Management, John Wiley & Sons, 2004 - 288 pages.
Introduction to Operational Risk management and modeling.
What is Operational Risk?
The Regulatory Environment.
Why a statistical Approach to Operational Risk management?
Wiley – 2011, 448 pages
A guide to the validation and risk management of quantitative models used for pricing and hedging
Whereas the majority of quantitative finance books focus on mathematics and risk management books focus on regulatory aspects, this book addresses the elements missed by this literature the risks of the models themselves. This book starts...
Wiley, 2008. – 1033 p. – ISBN: 047017921X, 9780470179215
If you’re seeking solutions to advanced and even esoteric problems, Advanced Analytical Models goes beyond theoretical discussions of modeling by facilitating a thorough understanding of concepts and their real-world applications—including the use of embedded functions and algorithms. This reliable resource will equip you...