Modeling, Measuring and Hedging Operational Risk

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."Modelling and Measuring Operational Risk" ist das einzige Buch auf dem Markt, das sich ausschließlich der quantitativen Messung und Modellierung des Betriebsrisikos widmet. Hierzu gehören z.B. Fehler bei der Transaktionsbearbeitung, Haftungssituationen und Fehler im Back-Office. Dieser Band erläutert Mess- und Modellierungstechniken, die Banken und Investmentfirmen für die Quantifizierung des Betriebsrisikos benötigen und beschreibt gleichzeitig eine Fülle praktischer und vernünftiger Lösungsmöglichkeiten an. Mit zahlreichen Fallskizzen und Beispielen aus der Praxis. Autor Marcelo Cruz ist ein führender Experte auf diesem Gebiet. Introduction
PART I: DATABASE MODELING
Database Modeling
PART II: STOCHASTIC MODELING
Severity Distributions
Extreme Value Theory
Frequency Distributions
The Operational Risk VaR
Stochastic Processes in Operational Risk
PART III: CAUSAL MODELS
Causal Models : Applying Econometrics and Time Series Statistics to Operational Risk
Non-Linear Models in Operational Risk
Bayesian Techniques in Operational Risk
PART IV: OPERATIONAL RISK MANAGEMENT
Operational Risk Reporting, Control and Management
- Stress Tests and Scenario Analysis in Operational Risk
PART V: HEDGING OPERATIONAL RISK
Operational Risk Derivatives
Developing an OR Hedging Program
PART VI: OPERATIONAL RISK REGULATORY CAPITAL
Operational Risk Regulatory Capital
PART VII: MEASURING "OTHER RISKS" -
FOREGONE REVENUE MEASUREMENT MODELS
An Enterprise-Wide Model for Measuring Reputational Risk
- Measuring Concentration (or Key Personnel) Risk
- Using Real Options in Modeling and Measuring Operational and 'Other' Risks
APPENDIX -
Valuing Networks -
Understanding the basics of e-ventures valuation DR MARCELO CRUZ is currently CEO and founder of RiskMaths, a boutique consultancy specialising in the development and validation of complex mathematical and statistical models for risk management, financial asset pricing, capital allocation and financial management strategy. RiskMaths has a particular focus on operational risk modeling, measurement and hedging with a client base that includes large global financial institutions and financial regulators. Dr Cruz participates in the regulatory discussions on the new Basel Accord and was a member of the Industry Technical Working Group that proposed the changes on the regulatory capital charges to the Basel Committee on Banking Supervision. Prior to RiskMaths, Dr Cruz worked as a senior executive in the risk management area for various global investment banks and led the development of operational risk quantitative modeling for a large European bank. He has also worked as a senior derivatives trader and structurer.

Dr Cruz regularly writes for several academic and industry journals and magazines including The Journal of Risk, RISK magazine, the Financial Times and Derivatives Week. He has also contributed to several risk management books, the most recent of which include 'Extremes and Integrated Risk Management', 'Managing Hedge Fund Risk', 'Mastering Risk, Volume 2' and 'Advances in Operational Risk: Firmwide Issues for Financial Institutions'. Dr Cruz is a sought-after speaker in risk management conferences and seminars and had lectured in many countries in Europe, Asia and the Americas as well as leading universities in Europe, USA and Latin America. He holds a Ph.D. in Mathematical Finance, a M.Sc., M.B.A., Diploma and a B.Sc. in Economics. The interest in operational risk has evolved exponentially in the last few years. Up until the Barings Bank collapse in 1995, the term had never been used. Dr Marcelo Cruz is one of the first people to attempt to explain clearly and technically the patterns of this new risk. He has been lecturing on operational risk since 1997 and wrote one of the first academic articles on it, in 1998.

Written in a clear and accessible manner, Modeling, Measuring and Hedging Operational Risk is essential reading for all those concerned with this evolving area of risk. "Dr Marcelo Cruz is rightfully acknowledged as a world expert in the quantification of operational risk. He has set out to produce a book that is comprehensive yet also comprehensible to non-mathematicians - and is to be congratulated for succeeding in this aim. This book should be regarded as essential reading for all professional risk managers, irrespective of their particular lens of perception." Brendan Young, Chairman, Operational Risk Research Forum

"As a technically trained analyst, Marcelo Cruz summarizes a wide range of mathematical techniques. As an experienced capital markets trader and risk manager, he provides real world examples of their relevance for operational risk. This will be a common reference work in the field for years to come." David M. Rowe, Ph.D., Group Executive Vice President for Risk Management Sun Gard Trading and Risk Systems

Operational risk is an important, yet little explored, area within risk management. The need to model and measure the risks arising from operational errors and to allocate capital against them will be soon become a regulatory requirement for financial institutions. In this book, Marcelo Cruz provides a quantitative look at the subject, presenting several mathematical models that can be used and adapted to measure, manage and hedge operational risk.

Based on the author's extensive experience, the book maps out state-of-the-art mathematical and statistical techniques that can be used to model operational risk. In addition, the book describes a variety of appropriate models that can be applied to specific structures or areas, including operational risk database modeling, stochastic models, statistical distributions for frequency and severity, extreme value theory, operational VaR models, artificial intelligence models, dynamic multifactor models, Bayesian analysis, Monte Carlo simulation, stress test/ scenario analysis, real options, state-space models and the Kalman filter, Markovian stochastic models and others. These models have been tested with real data in real operational events. Based on this experience, numerous examples are sited throughout.

Modeling, Measuring and Hedging Operational Risk provides a complete quantitative reference for all those involved in modeling and managing operational risk as well as for those involved with developing hedging products for operational risk within insurance companies and derivatives houses.