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(More customer reviews)How do we know if our risk management methods are working? Would we notice if they were not working? What are the consequences if they are not working? These are the three basic questions that Douglas Hubbard asks in his book The Failure of Risk Management.
In this book Mr. Hubbard lays out the basics of risk management and explains why many risk management methods are worse than useless. He also provides some ideas and first steps to fix the problem.
Here's a brief walk though 'The Failure of Risk Management':
Part I introduces the history of risk management and the problems with modern risk management methods. Independent events, for instance, are often times not independent at all. This common-mode failure is unaccounted for by many managers, yet can be devastating in an emergency.
Part II of the book goes in depth with some of the problems and failures of risk management, and to me was the most interesting part of the book. Chapter 4 is called The "Four Horseman" of Risk Management, and describes the differences between what the author considers the four main classes of risk managers. The four classes are actuaries, "war quants," economists, and management consultants. Each group has distinctly different methods and areas of expertise, as well as different levels of validation.
Chapter 5 is about how risk should be defined, and why different people may actually be talking about different things when they discuss volatility and risk. Chapter 6 breaks down why humans are not good at subjective methods (which lays the ground work for later chapters introducing quantitative methods). There are a few "calibration" tests available for you to see how overconfident you are in your decision making. These are pretty interesting, and even after reading about overconfidence I still did poorly on them.
Chapters 7, 8, and 9 talk about problems with subjective scoring methods, problems with describing one-off events, and the problems with some quantitative models. The author talks about "black swans," as described by Nassim Nicholas Taleb, and how they relate to modeling. Many times people believe that events can't be modeled, but the author believes this is not so.
The last section of the book, Part III, gives some ideas on how to fix risk management. Adding empiricism is a big start, as well as calibration of subjective human inputs. Many companies build and use models, but then they don't actually bother to see how well the things have performed in the past. I will leave the rest of the solutions for you to read in the book.
Recommendation:
First off, the author says this book is geared towards all types of risk management, and all types of industries, and I think this is true. The author uses a wide variety of examples from airplane engine failures to volcano eruptions. But I still feel like this book is more geared towards enterprise risk management, and less towards the already quant heavy fields such as actuarial science or credit risk management. But it was an interesting read nonetheless.
It seems like in the past 20 years there have been several so-called "once-in-a-lifetime events," such as the floods of Hurricane Katrina or any of the financial crisis, including 1987, 1998, 2000, or 2008. I wish I had the money to buy this book for every person who ever said "no one saw that coming."
I think this is a great book for anyone who deals with the potential for risk, loss, or damage - no matter if it is financial, personal, or physical. When the stakes are high we should be careful relying on a risk matrix developed by a management consultant, and Douglas Hubbard will tell you why. If you work in risk management, or if you have influence on the operational strategy of some organization, then this book is a must read.
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The Failure of Risk Management: Why It's Broken and How to Fix ItAn essential guide to the calibrated risk analysis approach
The Failure of Risk Management takes a close look at misused and misapplied basic analysis methods and shows how some of the most popular "risk management" methods are no better than astrology! Using examples from the 2008 credit crisis, natural disasters, outsourcing to China, engineering disasters, and more, Hubbard reveals critical flaws in risk management methods–and shows how all of these problems can be fixed. The solutions involve combinations of scientifically proven and frequently used methods from nuclear power, exploratory oil, and other areas of business and government. Finally, Hubbard explains how new forms of collaboration across all industries and government can improve risk management in every field.
Douglas W. Hubbard (Glen Ellyn, IL) is the inventor of Applied Information Economics (AIE) and the author of Wiley's How to Measure Anything: Finding the Value of Intangibles in Business (978-0-470-11012-6), the #1 bestseller in business math on Amazon. He has applied innovative risk assessment and risk management methods in government and corporations since 1994.
"Doug Hubbard, a recognized expert among experts in the field of risk management, covers the entire spectrum of risk management in this invaluable guide. There are specific value-added take aways in each chapter that are sure to enrich all readers including IT, business management, students, and academics alike"—Peter Julian, former chief-information officer of the New York Metro Transit Authority. President of Alliance Group consulting
"In his trademark style, Doug asks the tough questions on risk management. A must-read not only for analysts, but also for the executive who is making critical business decisions."—Jim Franklin, VP Enterprise Performance Management and General Manager, Crystal Ball Global Business Unit, Oracle Corporation.
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