The Failure of Risk Management audiobook cover - Why it’s Broken and How to Fix It

The Failure of Risk Management

Why it’s Broken and How to Fix It

Douglas W. Hubbard

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The Failure of Risk Management
Fundamentals of Risk+
Flaws in Popular Methods+
Calibrating Expert Opinion+
Monte Carlo Simulation+
Calculating Unprecedented Risks+
Valuing Additional Information+
Organizational Strategy+

Quiz — Test Your Understanding

Question 1 of 9
How does the text define 'risk' in a scientific or mathematical context?
  • A. The financial cost of an unforeseen natural disaster.
  • B. The probability and magnitude of an undesired effect.
  • C. The measure of human error in complex organizational systems.
  • D. The qualitative assessment of potential business losses.
Question 2 of 9
According to the text, what is a major flaw of commonly used qualitative descriptions like 'very likely' in risk assessment?
  • A. They require complex software to calculate accurately.
  • B. They rely too heavily on historical data rather than future projections.
  • C. They are open to interpretation and mean different things to different people.
  • D. They are strictly limited to financial loss rather than operational risks.
Question 3 of 9
What does the airplane hydraulic tube example illustrate about flawed risk assessment methods?
  • A. They overestimate the probability of human error in manufacturing.
  • B. They fail to account for 'common mode risk' where related components fail from a single event.
  • C. They rely on quantitative data when qualitative expert opinion would be better.
  • D. They ignore the financial costs of installing redundant systems.
Question 4 of 9
How does the 'peak end rule' affect an expert's ability to evaluate probability?
  • A. It causes them to overestimate their own intelligence compared to their peers.
  • B. It causes them to remember extreme and recent experiences better, skewing their perception of probability.
  • C. It makes them rely exclusively on the earliest data available in a given timeline.
  • D. It forces them to focus only on the ultimate financial outcome rather than the steps taken.
Question 5 of 9
What is the primary purpose of 'calibration training' for experts?
  • A. To teach them how to program Monte Carlo simulations.
  • B. To help them replace quantitative data with qualitative scoring methods.
  • C. To train them in the historical techniques used by WWII 'war quants.'
  • D. To give them an accurate picture of their own uncertainties and reduce overconfidence.
Question 6 of 9
How does the Monte Carlo Simulation assess risk?
  • A. By running thousands of random scenarios using set variable ranges to ascertain the real probability of particular outcomes.
  • B. By gathering qualitative opinions from uncalibrated experts and averaging them to find a consensus.
  • C. By scoring risks on a scale of 1 to 5 and adding the scores together to find the total threat level.
  • D. By exclusively analyzing events that have happened within the last ten years to predict future trends.
Question 7 of 9
How can risk managers calculate the probability of an event that has never happened before, such as a specific nuclear disaster?
  • A. By relying entirely on the qualitative intuition of a Chief Risk Officer.
  • B. By waiting until the event occurs to gather empirical data.
  • C. By deconstructing the risk model into component parts and computing the failure risk for each individual part.
  • D. By using the peak end rule to brainstorm worst-case scenarios.
Question 8 of 9
In risk management, how is the 'expected opportunity loss' calculated?
  • A. The initial financial investment required to build a risk management department.
  • B. The probability of losing money in any scenario multiplied by the amount of money you would lose.
  • C. The amount of money spent on calibration training for organizational experts.
  • D. The historical financial losses a company has suffered over the past decade.
Question 9 of 9
Why does the author recommend having a dedicated department to review and standardize all risk-related decisions?
  • A. To ensure that the Chief Risk Officer has sole authority over all financial investments.
  • B. To overcome organizational silos and effectively unify decision-makers and subject experts.
  • C. To eliminate the need for Monte Carlo simulations in everyday business decisions.
  • D. To replace calibrated experts with automated risk assessment software.

The Failure of Risk Management — Full Chapter Overview

The Failure of Risk Management Summary & Overview

The Failure of Risk Management (2009) is a comprehensive guide to the history, methods and myths of risk management. These blinks explain why common methods for managing risk are flawed and how to fix them; they also offer tried and true alternatives for measuring and mitigating risk.

Who Should Listen to The Failure of Risk Management?

  • Business owners and investors
  • People interested in how risk can be accurately calculated
  • Managers from all fields

About the Author: Douglas W. Hubbard

Douglas W. Hubbard is the developer of a decision-analysis method known as Applied Information Economics. He is also the founder of Hubbard Decision Research and author of How to Measure Anything: Finding the Value of Intangibles in Business.

 

[Douglas W. Hubbard: The Failure of Risk Management] copyright [2009], John Wiley & Sons [Inc. or Ltd. as applicable] Used by permission of John Wiley & Sons [Inc. or Ltd. as applicable] and shall not be made available to any unauthorized third parties.

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