ABSTRACT

Andy Garlick's book explores the role of quantitative techniques in modern risk management. Risk management has grown in importance in most organisations in the last 20 years, but in many remains simply a matter of processing lists of risks and actions. The author argues that this fails to make the most of the techniques available and that organisations can improve their risk decision making by using risk models. His book describes a broad range of modelling techniques, all illustrated by business-relevant examples. The role of the models in decision making is also discussed, with particular emphasis on what the risk premium - the price people charge for accepting risk - is and should be. In order to provide a self contained account the underpinning material from probability and decision theory is also included, so that the book will provide a handy reference guide for all practitioners. The discussion is consistently informal, and the book provides a critical view of the accepted wisdom in risk management. This book will enable managers and their specialist advisors to improve their approach to risk whilst removing the mystique.

part |2 pages

Part I Risk Management Overview

chapter 1|6 pages

Risk in Context

chapter 2|24 pages

A Brief Introduction to Risk Management

chapter 3|24 pages

Quantitative Risk Estimates

chapter 4|22 pages

Using Risk Models

part |2 pages

Part II Risk Models

chapter 5|12 pages

Reliability and Other Binary Models

chapter 6|24 pages

Cost and Other Additive Models

chapter 7|12 pages

Time and Programme

chapter 8|8 pages

General Models

part |2 pages

Part III Decisions and Risk

chapter 9|10 pages

Public Sector Decisions

chapter 10|8 pages

Private Sector Decisions

chapter 11|14 pages

Safety Decisions

part |2 pages

Part IV Techniques

chapter 12|22 pages

Probability

chapter 13|20 pages

Monte Carlo

chapter 14|8 pages

Other Methods

chapter 15|12 pages

Decision Analysis