american bankers association risk management forum april 29, 2010 tyler d. nunnally, upside risk
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American Bankers Association Risk Management Forum, April 29, 2010. Best Practices: Managing Judgment Risk. Presented by Tyler D. Nunnally, Founder & CEO, Upside RiskTRANSCRIPT
ABA Risk Management Forum
April 28-30, 2010
Best Practices: Managing Judgment Risk
Presented by: Tyler D. Nunnally
Founder & CEOUpside Risk
What is Judgment Risk?
Behavioral Economics 101
Judgment Bias
Risk Appetite
Best Practices: Managing Judgment Risk
Presentation Topics
‘92 Summer Olympic Games (Barcelona, Spain)
‘93 Nunnally International Trade, Inc. (Prague, Czech Republic)
‘03 University of St Andrews (St Andrews, Scotland)
‘04 Global Business Consulting (Barcelona, Spain)
‘06 Oxford Risk Research & Analysis Ltd (Oxford, England)
’09 Upside Risk (Atlanta, Georgia, USA)
Presenter Background
PART I: Judgment Risk
Key Risk Factors in the Decision-Making Process
What is Judgment Risk?
RiskProbability
of Occurrence
Judgment BiasX
Severityof
Likely Impact
Risk Appetite
“JUDGMENT RISK”
What is Judgment Risk?
Alan Greenspan commenting on how human factor risks caused forecasting models to fail in subprime crisis
“I do not say that the current systems of risk management or econometric forecasting are not in large measure soundly rooted in the real world… But these models do not fully capture what I believe has been, to date, only a peripheral addendum to business-cycle and financial modeling—the innate human responses that result in swings between euphoria and fear that repeat themselves generation after generation with little evidence of a learning curve.
Source: Alan Greenspan, “We will never have a perfect model of risk”, Financial Times, March 16, 2008.
“This, to me, is the large missing ‘explanatory variable’ in both
risk-management and macroeconometric models. Current practice is to introduce notions of “animal spirits”, as John Maynard Keynes put it, through “add factors”. That is, we arbitrarily change the outcome of our model’s equations. Add-factoring, however, is an implicit recognition that models, as we currently employ them, are structurally deficient; it does not sufficiently address the problem of the missing variable”
…Forecasters’ concerns should be not whether human response is rational or irrational, only that it is observable and systematic”.
Source: Alan Greenspan, “We will never have a perfect model of risk”, Financial Times, March 16, 2008.
What is Judgment Risk?
PART II:
Behavioral Economics 101
Combines scientific disciplines of psychology and economics
“Bounded rationality” introduced by Herbert Simon (’78 Nobel Prize)
Prominence of study led by Kahneman & Tversky (’02 Nobel Prize)
Heuristics and biases
Behavioral Economics 101
The Way People Make Decisions
SYSTEM 1
(Intuitive) SYSTEM 2
(Reason)
Automatic Spontaneous Unconscious Instinctive “Gut feel”
Thoughtful Controlled Informed Deductive Analytical
Decision-Making Under Risk and Uncertainty
Diagnosis: person scans, appraises and questions available information
Assessment: risk versus rewards analysis made of available options
Action: commitment to chosen course of action
Adjustment: evaluate decision outcomes and adjust accordingly
Diagnosis ▼
Assessment ▼
Action ▼
Adjustment
Behavioral Economics in the Mainstream
NY Times Business Best Sellers in 2009
PREDICTABLY IRRATIONAL, by Dan Ariely
FREAKONOMICS, by Steven D. Levitt and Stephen J. Dubner
SWAY, by Ori Brafman and Rom Brafman
NUDGE, by Richard H. Thaler and Cass R. Sunstein
“Perhaps the greatest challenge facing behavioral economics is demonstrating its applicability in the real world”
Source: Levitt, Steven and List, John “Homo Economicus Evolves,” Science, February 15, pp. 909–
10.
What the Critics Say…
• Public Policy
• Consumer Choice
• Upside Risk’s approach: Risk Management
“Real World” applications
“Risk management is a form of engineering: it uses science, but ultimately depends on judgement… The ultimate protection against risk is good judgement and alertness: your own and that of your colleagues”.
Source: Risk Management, November 2005
PART III:
Judgment Bias
Probabilities & Statistics: Sample Size Bias
Suppose the mean credit score of all senior citizens is 650. You haveselected a random group of 50 senior citizens. The first person thatyou review has a credit score of 800.
What do you think the mean credit score of this group of 50 seniorcitizens will be?
A. 598B. 650C. 653D. 725
Miscalculating Probabilities & Statistics
Decision traps people fall into when judging risk:
• Overestimate/underestimate real value• Overestimate/underestimate chances of success • Overestimate/underestimate chances of failure • Overweight small probabilities• Underweight large probabilities• Failure to adapt to changing business conditions• Erroneous forecasts, estimates and projections
Heuristics: Availability
Perception of how “risky” something is often determined by how readily examples come to mind from memory. Bias occurs when probability assumptions become inflated by recent events.
US AIRLINE INDUSTRY PASSENGER REVENUES 1999-2004
Risk Exposure: - Overly cautious - Lost opportunities - Falling profits
Behavioral Biases: Confirmation Bias
Suppose you and a colleague disagree whether it would be a good idea tolaunch a new product. You believe that launching the product would be amistake. Your colleague believes that, if introduced, the product would be abig success.
In this situation, what would you do?
A. Seek a third opinion from someone who I know would agree with my positionB. Seek out information that supports my positionC. Seek out information that contradicts my colleague’s positionD. Seek out information that could either support or contradict my position
Booms and Busts: Subprime Crisis
U.S. House Prices: 1988 - 2008
Key Risk Factors: - Time discounting- Confirmation bias- Herding- Overconfidence
PART IV:
Risk Appetite
Risk Preferences
Risk Preference↓
Risk Appetite
Risk Averse↓
Risk Avoiding
Risk NeutralRisk Prone
↓Risk Seeking
ConservativeDecisions
Middle of the Road Decisions
AggressiveDecisions
A person’s level of comfort in taking risk often determines business decisions
Risk-Taking Behavior
Risk-taking behavior has a significant bearing on business outcomes
Risk Aversion Behavior:
Cause decision delays
Failure to take any action
Reliance on others to make decisions
Risk Seeking Behavior:
Ignore underlying evidence
Lack of objectivity between options
Confirmation bias
Risk Appetite Metrics: Sunk Costs
You have a significant sum invested in a project to develop a new product. If successfully completed, the project could have a considerable financial impact on your company. However, the project is overdue and over-budget. To complete the project it will now cost double the original projected cost. You must now decide to make the additional investment in order to complete the project, or to terminate it altogether.
To complete the project, what probability of success would be required before you would make an additional investment? Please choose one of the following probabilities:
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Excessive Risk Appetite and Catastrophic Risk
FDIC Troubled Bank List: 2007 – 2009
Risk Aversion and Falling Profits
Prospect Theory
People generally dislike loss twice as much as they like gains
People become riskseeking in the faceof loss and risk aversein the face of gains
Risk Domains
RISKDOMAINS
FinancialHealth/Safety
Recreation Ethical Social
For instance, a heavy drinker and smoker may take health risks, but he is not necessarily the same guy who makes high risk investments with his 401(k).
A persons’ risk propensities are compartmentalized and divided into separate domains
PART V: Best Practices:
Managing Judgment Risk
“The best behavioral risk management strategy is to try and arrest problem development earlier in the behavioral stage”.
Source: Rudy M. Yandrick, Behavioral Risk Management, 1996
Judgment Risk Indicator: Individual MetricsKey Risk Factor Category Risk Exposure Judgment Bias Sample Size Bias Probabilities and Statistics Low Base Rate Bias Probabilities and Statistics Very High Conjunction Fallacy Probabilities and Statistics Very High Gamblers Fallacy Probabilities and Statistics Very Low Overconfidence (Perception) Behavioral Bias High Time Discounting Behavioral Bias Very High Overconfidence (Actual) Behavioral Bias Moderate Confirmation Bias Behavioral Bias Low Illusion Of Validity Behavioral Bias Very High Status Quo Bias Behavioral Bias Very Low Herding Behavioral Bias Moderate Framing Effects Behavioral Bias Moderate OVERALL High Risk Appetite Status Quo Choice Dilemmas High Sunk Cost Loss Choice Dilemmas High Sunk Cost Gain Choice Dilemmas Low Perception Investment Decisions Low Benefits Investment Decisions Moderate Behavioral Bias Investment Decisions Moderate Willingness to Pay Risk vs. Reward Very High Low Stakes Lottery Choice Moderate High Stakes Lottery Choice Moderate OVERALL High
Judgment Risk Indicator: Organizational Metrics
Scatter Plot of Z-scores
-3.00
-2.00
-1.00
0.00
1.00
2.00
3.00
-3.00 -2.00 -1.00 0.00 1.00 2.00 3.00
Risk Appetite
Jud
gm
ent
Bia
s
Creative Risk Mitigation
First line of defense in hiring practices
Education: Professional Development
Personnel Evaluation
Due diligence & compliance
Benchmarking
Banking Peer Group Risk Appetite Benchmark
Tyler D. Nunnally, Founder & CEO
Upside RiskAtlanta, Georgia U.S.A.
Phone: +1 (404) 320 6047Email: [email protected]
www.Upside-Risk.com