Operational Risk
Regulation, Analysis and Management

There are a lot of books out on operational risk. This is appropriate because operational risk management is a rapidly evolving field. Nevertheless, we must ask of each book: what sets it apart? In the case of this edited collection by Carol Alexander, the answer is its focus on operational risk within the Basle Committee regulatory framework for banks.

The book is divided into three sections:

Regulation,

Analysis, and

Management.

The first section comprises six articles. Three are by regulators and three are by researchers/practitioners. They describe how the proposed Basle II regulations treat operational risk. Strengths and weaknesses as well as implementation issues of the much anticipated regulation are discusses. The six chapters are informative and insightful. They offer the best treatment of this material that I am aware of.

   
 

The second section addresses qualitative and quantitative techniques for assessing operational risk. Discussions primarily consider approaches consistent with the three Basle II approaches for calculating capital charges for operational risk—especially the most sophisticated "advanced measurement approach," which provides financial institutions considerable flexibility in how they measure their own operational risk.

The articles of the second section are a mixed bag. Some are nice. Some are worth skipping. One is outstanding. That outstanding article is a piece by Carol Alexander herself. It breaks down operational risks into a matrix of types and identifies which are most amenable to quantification. It goes on to explore Bayesian statistical methods for combining subjective perceptions of operational risk with hard loss data to construct loss distributions reflecting both. This article is the best 40 pages I have ever read on operational risk! If you read only it, this book will be well worth the purchase price.

Contents

Regulation

1. The three pillars of operational risk

2. A qualitative operational risk framework: guidance, structure and reporting

3. Measurement of operational risk: the Basel approach

4. A constructive review of the Basel proposals on operational risk

5. Legal risks and fraud: capital charges, control and insurance

6. Operational risk and insurance

Analysis

7. Statistical models of operational loss

8. The Loss Distribution Approach

9. A general simulation framework for operational loss distributions

10. The path to operational risk economic capital

Management

11. Scorecard approaches

12. The operational risk management framework

13. Using operational risk models to manage operational risk

14. Managing operational risks with Bayesian networks

15. Operational risk management

Less fortunate articles in this section include an article by two employees of Algorithmics (Alexander's former company) that is little more than an advertisement for the firm's software. Another article is so elementary, it is hard to fathom what it is doing in this book. It describes a technique "called Monte Carlo simulation." This is described as basically "a dice rolling exercise where the dice are shaped so that their different sides fall with different likelihoods."

The last section of the book covers the management of operational risk. Chapters address general management issues related to operational risk. One is an elementary discussion of scorecard methods for assessing operational risks within an organization. Alexander contributes an article building on her earlier chapter. This introduces Bayesian networks and proposes their use for making decisions related to operational risk.

Who should read this book? Honestly, anyone with an interest in operational risk should read Alexander's chapter on Bayesian methods. It is outstanding. The rest of the book will appeal primarily to readers interested in regulatory aspects of operational risk management.

My quality and technical ratings—(5/6) and (2/6)—are very much averages. The quality of the chapters in this book vary considerably. Some chapters are fairly technical. Most are not technical at all.

 

 

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