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    Risk Management 2.0Emerging Risk Management Practices

    Alan Laubsch

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    Agenda

    1. Industry trends & risk management themes

    2. Systemic risk management

    3. Organizational risk management

    4. Conclusions

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    Industry trendsRapidly changing corporate landscape

    Competition & consolidation

    Governance

    Regulation

    Emphasis on risk managementOverhauling current practices and adopting best practices

    Culture, expertise and data are the weak points in companies risk management (Economist)

    Firm-wide approach, active senior management, no more silos

    Integrating risk in decision making: Management is risk management

    Emphasis on flexibility, timeliness, and robustness over precision

    Companies seek comprehensive view of risk From broad macro to micro (specific) perspective

    Focus on interrelationship of different risks

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    Banking crises are generally driven by surges in international

    capital flows, credit, and asset pricesBoth developed and emerging markets show similar systemic risk drivers

    Financial centers have been especially vulnerable

    Source: Carmen Reinhart and Kenneth Rogoff, Banking Crises: An Equal Opportunity Menace (2008)

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    Financial liberalization & capital mobility tend to have a

    destabilizing effectThe stylized evidence presented in Caprio and Klingebiel (1996) suggests that inadequate regulation and lack of supervision at

    the time of the liberalization may play a key role in explaining why deregulation and banking crises are so closely entwined. Again, this is a theme across developed countries and emerging markets alike Reinhart & Rogoff

    Source: Reinhart & Rogoff (2008), Banking Crises: An Equal Opportunity Menace

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    Foreign capital inflows amplified both the U.S. Tech

    Bubble and Credit BubbleKen Rogoff warned of imbalances of capital flows and risk of credit crisis

    First, there has been enormous growth in the amount of foreign capital and a very significant shift in the balance of payments of many emerging markets; Second, and linked to this, nearly ten years of low long-term interest rates;

    and Third, the official policy of subsidizing homeownership in the United States. - GS CEO Lloyd Blankfein commenting on underlying factors for the credit crisis (April 2009)

    http://blogs.cfr.org/setser/2009/04/06/charting-financial-de-globalization-private-capital-flows-are-falling-faster-trade-flows/

    Internet Bubble

    CreditBubble

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    Unprecedented levels of debt to GDPSustainable?

    Source: IMF Global Financial Stability Report, April 2009

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    Three alternatives for resolving the debt crisis1. Strong and sustainable economic grow th?

    2. Credit default

    3. Inflation

    U.S. GDP Grow thWith And W ithout Mortgage Equity Withdrawal (MEW)

    By guaranteeing everything governments have transformed a financial crisis into a debt crisis. Who guarantees the governments? Ken Rogoff (15 Sep 2009)

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    Central Banks play a crucial role in managing

    Systemic Risk One of the most striking features of the economic landscape over the past twenty years or

    so has been a substantial decline in macroeconomic volatility. ...Several writers on the topic have dubbed this remarkable decline in the variability of both output and inflation

    'the Great Moderation' (Bernanke 2004)

    Unintended consequences of Feds risk managem ent paradigm Greenspan put

    Asymmetric actions are inconsistent with Efficient Market Hypothesis. Implicationwould be that markets are inefficient only on the downside, and that any up-movein the market is efficient

    Central Banks should act symm etrically and countercyclicallyMaxwells governance theorems (see George Coopers Origins of Financial Crises)

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    Financial Instability Hypothesis (FIH)George Cooper s Origins of Financial Crises(2008) cohesively ex tendsHym an Minsk ys FIH to the current mark et environment.

    Financial Instability Hypothesis (FIH)Inherent instability

    Small external impacts can cause massivechange in equilibrium

    Amplification loops: Leverage & Asset Prices

    Credit creation and fractional reservebanking create instabilities but enable

    economic growthCentral banks are essential to managinginstabilities

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    Amplification mechanisms & feedback loops can lead to

    great instabilities in finance and ecologyFinancial examples

    Leverage & Asset Prices

    Bank runs

    Financial crash & real economy

    Climate change examples Arctic ice reflects 80% of sunlight; as it melts theocean absorbs 80% of the heat. This feedback

    loop has caused recent arctic ice melt to farexceed expected ranges as estimated by theIPCC.

    As permafrost melts, heat is absorbed by theground, and methane is released. Methane is a10x more potent greenhouse gas than CO2

    Many other such negative spirals, for exampleCO2 acidification of oceans hurt the marineecosystem and decreases the oceans ability toabsorb CO2.

    Asset Prices

    Leverage

    Actual Arctic Melt vs I PCC M odels

    Real Economy

    Financial Markets

    Source: Dan Miller, A Really Inconvenient Truth, climateplace.org

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    Market Cycles & Social Epidemics

    Source: Wikipedia; see Geoffrey Moores Crossing the Chasm (1999)

    Diffusion of ideas and innovation follow a predictable courseDiffusion of ideas and innovation follow a predictable course

    Malcolm GladwellMalcolm Gladwell ss Tipping PointTipping Point describes process of social epidemicsdescribes process of social epidemicsLaw of the few (Pow er Law )

    1. Connectors (who bring people together)

    2. Mavens (information specialists )

    3. Salespeople (persuaders)

    Financial fashion today?

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    PIMCO - Momentum strategies prevail once phase transitiontipping point reached, mean reversion fails

    Tipping points mark dramaticphase transitions, abrupt S-shaped transitions betweenstates with radically differentproperties.

    Climate scientists are obsessed with finding tipping points, the levels at w hich the momentum for change becomes unstoppable. - Time, A

    Green Tipping Point (2007)

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    Systems Theory: Emergence & Power Law

    Financial markets as Complex Adaptive Systems (CAS), featuring A dynamic network of agents

    Feed back loops

    Self similarity (fractal patters)

    Emergence

    Evolution

    Power laws govern network dynamicsLaw of the few (e.g, 80-20 rule, Zipf Law)

    Fat tailed distributions (e.g., Pareto, Student t)

    Seen all over the world, from wealth distribution to city sizes

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    McKinsey: Financial crises and earthquakes both fitpower curves

    Power curves: What natural and economic disasters have in common - The McKinsey Quarterly (2009)

    Source: The McKinsey Quarterly, (June 2009)

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    Extreme outcomes: Dragon Kings vs Black Swans

    Nassim Talebs Black Sw an claims that crises arise fromunknow able events that cannot quantified or predicted

    Historical examples: Eisenhower heart attack; Lincoln & Kennedy assassinations;asteroid impact or flood basalt eruptions resulting in mass extinctions; 911;

    Didier Sornettes Dragon King thesis holds that most financialcrises are endogenous in natu re and can be diagnosed in advance,

    can be quantified, and have som e predictabilityExam ples of endogenous crises in history: rise of Fascism; rise of dictators(Hitler, Mao); rise of tech moguls (see Gladwells Outliers), mega-bestsellers (HarryPotter), current ecological crisis; 29 Great Depression, 87 Black Monday, 89 JapanBubble; 01 Tech Bubble; current Global Financial Crisis (credit, equities, oil)

    Endogenous structural risk combined with exogenous precipitating event is common(e.g., forest fire)

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    Foreshocks and aftershocks

    Big shocks can originate from amplifying feedback of small shocks

    Super-exponential instability and change characterizes phase transitions

    See: http://www.er.ethz.ch/presentations/Endo_Exo_Oxford_17Jan08.pdf Source: Sornette et al., Endogenous versus Exogenous Origins of Crises (2008)

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    Hang Seng exhibits textbook super-exponential rate of change6 months to 1 year before peak or bottom

    Hang Seng Index returns (log scale)

    Source: Sornette et al., Shocks, Crises and Crashes in Nature and the Economy (2006)

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    Chinese equities 2007 and 2009 forecasts

    Prediction disclosed on Oct 18, 2007 Stockholm Hedge Fund Conference:

    See http://arxiv.org/PS_cache/arxiv/pdf/0909/0909.1007v1.pdf

    Participants responded that the predicted change of regime was impossible because,in their opinion, the Chinese government would prevent any turmoil on the Chinese stock market until at least the end of the Olympic Games in Beijing (August 2008).

    After the communication of October 18,2007, the Hang Seng China Enterprises Index (HSCEI) reached the historical high 20609.10 on 2 November 2007.

    Afterwards, the first valley HSCEI=15460.72 (-25% from historical high) was reached on 22 Nov 2007 and the bottom HSCEI=4792.37 (-77% from historical high) was on 29 Oct 2008

    Didier Sornette et al. Source: Sornette et al., Bubble Diagnosis andPrediction of the 2005-2007 and 2008-2009 Chinesestock market bubbles (2009)

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    2007 S&P 500 peak forecast

    July 15 07 peak forecast: 80/20 range = Aug 6 to Dec 20, Nov 5 median;actual peak Oct 9

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    Super exponential rise in U.S. real estate

    Didier Sornette accurately predicted 2006 peak in U.S. real estate bubble, and implywhich states would be most affected by the bust

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    Outliers as early warning signs

    We learn more from extreme circumstances than anything else -Malcolm Gladwell

    Ozone Hole discovery by Joe Farman (19 80-198 5 publication)Missed by NASA satellite, which was programmed to ignore outliers

    Outliers can signal important changesSpurious data or has the distribution changed?

    Outliers were flashing w arning signs throughout the global financial crisis

    Subprime Crisis: the bubble bursts, starting a process of amplifying market moves1. Dec 12-21, 2006: 300% spike in Jan AAA ABX spread volatility, GS exits subprime after

    repeated subprime P&L outliers relative to VaR2. 20 Feb 2007 Financial stocks reach an all time high (XLF at 37.99)3. 22 Feb 2007 HSBC announces $10.5bn subprime loss4. 23 Feb 2007 - 12 sd residual / 350% increase in vol (largest outlier in subprime)5. 27-Feb-2007 7.8 sd residual / 3.3% loss in DJIA, 6 th largest residual since 1900

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    Responsive volatility forecast revealed major relative spreadchanges and outliers 7 & 4 months before the meltdown

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    Date

    S p r e a d

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    300%+ increase in vol fromDec 12 to 21 '06

    357% vol spike onFeb 23 '07

    RM 2006 99% VaR bands vs 2006-1 AAA spread changes

    One major outlier, a 12 sd move on Feb 23 '07, the day

    after the $10.5bn HSBC loss announcement

    Backtesting summary:2.4% upside excessions

    0.81% downside excessions

    Major ratings agencies initiate reviews and/ordowngrades week of July 9 '07

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    The Dec 06 and Feb 07 spikes in volatility can be seen as tremors(foreshocks) that cascaded into a major earthquake

    '2006-1 AAA'

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    The first tremor(vol up 300% Dec 12-21)

    Feb 23 '07, first majoroutlier, 350% vol increase

    in 1 day, 12sd move

    June 20 '07, ML triesto liquidate BearSub rime CDO's

    Absolute Spread Levels

    Major ratings agenciesinitiate reviews and/ordowngrades week ofJuly 9 '07

    bp's

    Absolute spread moves were small, but rate of change was super-exponential. Parallels to failure andrupture process in material science (pressure to break point)

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    Top ten DJIA outliers (1900 to 2008)

    Program trading losses due to options/futures expiry9.6-3.9-6.615-Nov-1991

    Austrias ultimatum to Serbia, war looming8.5-3.5-6.728-Jul-1914

    NYSE about to close, WW116.9-6.9-6.730-Jul-1914

    ?11.4-4.9-7.020-Jan-1913

    Beginning of subprime, China worries6.8-3.3-7.827-Feb-2007

    Start of Korean War9.3-4.7-8.126-Jun-1950

    Collapse of junk bond market11.4-6.9-10.013-Oct-1989

    ? [May 13 German economy collapsed; rise of Hitler]8.3-5.2-10.129-Jul-1927

    Black Monday32.4-22.6-12.619-Oct-1987

    Eisenhower heart attack8.1-6.5-13.326-Sep-1955

    Comment Volatility

    (%)Return

    (%)ResidualDate

    Source: Finger. Doomed to Repeat It? RiskMetrics Research Monthly (NOV 2008)

    6th biggest outlier inhistory of DJIA 4 days

    after largest spike in AAA subprime a tipping point

    in contagion

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    Feb 27 DJIA outlier marks a regime shift from low to highvolatility where 3.3% daily moves would not be exceptional

    Increasing amplitude of volatility is a telltale sign of endogenous crises

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    DJIA daily returns vs 99% VaR bands (.94 decay, t dist)

    Feb 27, 6th biggest outlier in DJIA history 4 days after largest spike in

    subprime spreads

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    Feb 27 2007 also marks the beginning of contagion fromsubprime to equities, especially financials (XLF)

    4. Feb 27,6th biggestoutlier inDJIA history

    1. Feb 20 th Financials peak at an all time high of 37.99.

    2. Feb 22 HSBC announces $10.5bn U.S. Subprime loss

    3. Feb 23 12sd subprime spread move in subprime Global equities peak in Oct 2007,

    with high levels of institutionaland individual investor confidence

    NEWDefaults

    inMarch(CFRA

    warningsince

    Nov 06)

    BearHFs bust

    May & MLsfailedasset

    sale onJune 20

    Ratingsagenciesinitiate

    subprimedowngradeon July 9

    07

    Sep 15 08LEH

    default

    March16

    Beartakenover

    by JPM

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    Market volatilities clearly show the contagion effectof the subprime crisis

    Correlation vs causality

    here we see a domino effect,

    a tectonic shift in one assetclass triggers cascades inother assets in a series of amplifying loops that buildmomentum.

    Pay attention to red lights,

    but also to many yellowlights

    Source: IMF Global Financial Stability Report, April 2009

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    Implied volatility jumps provided early warning to majorcredit events

    Credit, equity & implied volatilities proved useful as early warning signs to impending companyfailures.

    Observing changes in volatility and outliers is more important than the absolute level of volatility

    Source: IMF Global Financial Stability Report, April 2009

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    Evolutionary Perspective: The Great Dying (Ferguson)

    Evolution spawns biodiversity, punctuated by periods of mass extinctionThe big question for our time is: are we on the brink of a great dyingone of those mass extinctions of species that

    have occurred periodically in the history of life on earth, such as the Cretaceous-Tertiary crisis that killed off the dinosaurs? It is a scenario that many biologists have reason to fear, as man-made climate change wreaks havoc with

    natural habitats around the globe. A great dying is also a scenario that financial analysts should worry about, as another man-made disasterthe subprime mortgage crisisworks its way through the global financial system. Niall

    Ferguson, The Great Dying (2009)

    Source: http://www.oliverwyman.com/ow/pdf_files/OW_OWJ2008-2_TheGreatDying.pdf

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    Evolutionary forces

    Survival the editor Adapting to changing environments

    Competition and alliances

    Nurture the common good

    Evolutionary leaps the author Extropy & self-organization

    Increasing complexity, differentiation, diversityRadical transformation, emergence & evolutionary leaps

    When faced with a radical crisis an individual life-form or a species will either die or become extinct or rise above the limitations of its condition through an evolutionary leap.

    --Eckhart Tolle

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    Super exponential forces shaping the next decades

    1. Population growth, demographics, and impact on ecologyEM still growing super-exponentially as developed nations shrinking

    Unsustainable growth in some of the riskiest countries in the world: 80% of violentconflicts occur in countries with young populations living in poverty under autocratic ruleplagued with corruption Dr. Albert Bandura, Stanford sociologist

    Phase transitions: Climate change, Peak oil

    2. Technology & IdeasKevin Kelly defines Technium as that which the mind produces"

    Source: kk.org/thetechnium/

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    Updated MIT Temperature Study shows warming is much moredevastating than projected in the 2003 IPCC report

    97% of climate change scientists are in substantial agreementIts about risk management and damage control now

    2009 MIT Study:95% chance thatBusiness-as-usualtemperature increase willexceed 3.5C (6.3F) in2095

    Source: Dan Miller, A Really Inconvenient Truth, climateplace.org

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    Stern Review for British GovernmentStern Review for British Government

    Assumes worst case scenarios Assumes worst case scenarios

    Sea rise could be 15Sea rise could be 15 --20 feet in a few decades20 feet in a few decadesFlorida, NYC, London, TokyoFlorida, NYC, London, Tokyo underwaterunderwater1B displaced, sick, dead1B displaced, sick, dead

    Flooding, famine and diseaseFlooding, famine and diseaseOriginal 2003 IPCC estimate: 2 feet, but excluding GreenlandOriginal 2003 IPCC estimate: 2 feet, but excluding Greenlandice sheet (20+ feet).ice sheet (20+ feet). Jim Hansen, NASA Climate Scientist:

    Certain it will be 6+ feet. If all ice sheets collapse: 280 feetIf all ice sheets collapse: 280 feet

    Massive water & crop shortages worldwideMassive water & crop shortages worldwide

    $20T+ in worldwide damages$20T+ in worldwide damages (Mitigation estimated at $1T)(Mitigation estimated at $1T) Wars over food and waterWars over food and water

    Source: Dan Miller, A Really Inconvenient Truth, climateplac

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    Globalization and technology have reduced shortterm variability, but increased systemic tail risk

    Certain developments of recent decades, like changes in the structure of financial institutions post Glass- Steagall, have brought the risk of less frequent but more intense upheavals. The diverse income

    streams of mega financial conglomerates reduce the effects of the 10-year storm, but their size and ubiquity exacerbate the consequences of the 20- or 30-year storm. -- Lloyd Blankfein

    As system s become more connected, danger of cascading failureincreases

    Instead of local ecological collapse, w e now risk a global collapseClimate Change (Global Warming), loss of biodiversity

    Concentrated food supply: 4 mono-cultured crops account for 60% of global food supply

    Nuclear w eapons have greatly increased catastrophic risk 1 golf ball of plutonium could decimate life on earth down to viruses. Since the fall of theSoviet empire, a basketball sized amount has been unaccounted for.

    Threat of retaliation & mutually assured destruction is not a deterrent for terrorists

    Evolution generates solutions to solve existing problem s, but newcomplex ities invariably arise

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    Scenario analysis should focus on structuralweaknesses

    Dont forget long term history

    Im agine forw ard looking systemic risk scenarios

    Continually R everse Stress Tests to find potential b reak pointsDecide on risk management (mitigation) approachIdentify potential tipping points and key factors to monitor

    From stress testing to stress simulations & fire drillsNot enough to generate scenarios, simulate them in the context of yourorganizationLearning by doing not just by reporting!

    Continually seek to uncover unknown risks not just measuringknown risks

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    Historian Niall Fergusons stress scenarios

    Two potential 2013 scenarios in The Descent of Finance The Breakdown: S&P 500 at 418 (as in Dec 1991)a decline comparable to that between 1929 and 1934. GDP growth less than 1% per year. half as many banks as in 2009, a third as many hedge funds, and retail banking resembling a

    public utility. $20tn govt debt. 45% top income tax rate. China's GDP rising to half that of the U.S. by 2013 and the IMF's Special Drawing Rights replacing the dollar.

    In a better case a remarkable number of new banks have appeared, the top income tax rate is 35%, and the S&P 500 stands at 976. Because the world has become more dangerous as well as poorer, everyone looks to the United States to continue acting as a global policeman-and the greenback is still the world's currency of choice

    Source: Ferguson, Niall. "The Descent of Finance." Harvard Business Review (July - August 2009)

    From Chimerica to ChimeraWhat if war broke out between U.S. and China? (see Ascent of Money)

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    Agenda

    1. Industry trends & risk management themes

    2. Systemic risk management

    3. Organizational risk managem ent

    4. Conclusions

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    Integral Framework: The Four Quadrants

    Need to consider subjective internal perspectives in addition to measurableexternal ones

    Source: Integrallife.com

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    Integral perspective of risk management themes

    Objective/ ExteriorSubjective/ Interior

    Individual

    Collective

    Individual risk factors Time series analysis Early w arning signs Tipping points

    Systems theory & P ow er Law Financial I nstability Hypothesis Theory of Evolution

    Cognitive psychology P eak performance Expertise

    Behavioral Economics Learning organizations

    Ins pired by Ken Wil bers Integral Theory

    I

    We

    It

    Its

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    Behavioral Economics and Robert Shiller

    We will never really understand important economic events unless we confront the fact that their causes are largely mental in nature -- G. Akerlof and R. Shiller in Animal

    Spirits: How Human Psychology Drives the Economy And Why It Matters for Global Capitalism

    Shillers Integral analysis of Bubbles (Irrational Exuberance 2005)

    Objective/ ExteriorSubjective/ Interior

    Individual

    Collective

    P recipitating Factor(exogenous shock)

    Amplificationmechanisms (systemstheory)

    Psychologicalbiases

    Culturalbiases

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    Cognitive Bias #1: Overconfidence

    It is hard for us, without being flippant, to even see a scenario within any k ind of realm of reason that would see us losing $1 on any of those transactions. -- Joe Cassano, former

    head of AIGFP at a 20 07 new s conference, shortly before the division incurred $4 5bn losses that forced AIG s $182bn Govt bailout.

    OverconfidenceOverly narrow view of possibilities (95% or even 99% confidence corresponds to60% range)ComplacencyOverestimation of own capabilities

    Niall Ferguson gave prescient w arnings, having observed all th e classicalhistori cal bubble signs (e.g., overconfidence, low spreads, asset valuations) :

    Just before the onset of WW1, the world enjoyed unparalleled globalization, liquidity, and prosperity.Except for profligate Greece and Nicaragua, all sovereign bond spreads were less than 2%. The assassination of Franz Ferdinand on 28 June 1914 in Serbia changed everything. Markets did not react significantly for weeks, but a stampede for liquidity eventually resulted in the close of major

    stock markets for months and losses that might have eclipsed the crash of 1929 (Ascent of Money)

    Y l h l f t t k k t

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    Yale school of management stock marketconfidence indexes

    Observe high individual confidence prior to 2001 crash, vs high level of institutional confidence at the peak of 2006 cycle

    Source: http://icf.som.yale.edu/confidence.index/

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    Yale Crash Confidence Index

    Institutions viewed 2 nd lowest chance in observed history of a crash in2006/7 just before the subprime meltdown

    Source: http://icf.som.yale.edu/confidence.index/

    Other systemic cognitive biases lets just say

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    Other systemic cognitive biases let s just saywere not purely rational beings

    As long as the music is playing, you've got to get up and dance. W e're still dancing. Citis CEO Chuck Prince in July 2007

    Herding (im itation, conform ity, obedience)

    Optimism Attribution ErrorDiffusion of responsibilityCognitive dissonanceOverreaction

    Ambiguity aversionGreed & FearMomentum investingEndowment effectHome biasSunk cost fallacy etc

    For a more extended list of know n cognitive biases seehttp://en.wikipedia.org/wiki/List_of_cognitive_biases

    Why Dont We Act On Systemic Risks?

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    Why Don t We Act On Systemic Risks?Failure of the Risk Thermostat

    We respond strongestto threats that are: Climate Change is:

    Visible Invisible

    With historical precedent Unprecedented

    Immediate Drawn out

    With simple causality With complex causality

    Caused by another tribe Caused by all of us

    Have direct personal impacts Unpredictable & indirect impacts

    Source: Dan Miller, A Really Inconvenient Truth, climateplace.org

    GroupThink was a major cause of organizational

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    GroupThink was a major cause of organizationalrisk management failure

    Key conditions for GroupThink 1. Directive leader

    2. Group isolated from outside sources of information and analysis

    3. Stressful situation

    Conscious strategies to overcome GroupThink

    Compare leadership of Jamie Dimon (JPM) w/Richard Fuld (LEH) or Stan ONeal (ML)

    At my first meeting, I was shocked," says Bill Daley, 60, the head of corporate responsibility and a former Secretary of Commerce. "People were challenging Jamie, debating him, telling him he was wrong. Dimon stakes

    out strong positions - but he's no dictator. He will also listen, and surprisingly, he'll even change fervently held opinions when a team member presents an argument that's sufficiently convincing

    Source: Shawn Tully, Fortune.com, Jamie Dimon's swat team September 2008

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    Foster collective intelligence

    Organizations can be structured to overcome evolut ionary biasesand to mak e better decisions

    Environment matters (Zimbardo)

    Create a Learning Organization (Senge)

    Develop expertiseKahneman vs. Gladwell on expert intuition

    Practice with feedback loop is the key

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    Build sustainable personal performance

    Tony Schwartzs Energy/Emotion Quadrants

    Emotional State

    Energy

    Source: w w w .theenergyproject.comSee Tony Schwartz Manage Your Energy talk (Leading@Google)

    http://www.youtube.com/watch?v=tke6X2eME3c

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    Conclusions

    Macro risk view based on understanding of systemic risk is an essential start Analyze structural risks using an Integral approach

    Listen to early warning signs, use adaptive risk models

    Foster better collective intelligence and risk management Awareness of group psychology

    Harness interdisciplinary intelligence (from systems theory to psychology)

    Greater risk transparency and sharing of cross-industry information

    Risk aware leadership and culture

    Reduce systemic risk through proactive collective actionCountercyclical capital, fiscal and monetary policy

    Promote sustainability financial and ecologicalMopping up the mess afterwards is NOT risk management

    As risk managers, we have a responsibility to protect our institutions, and theunderlying ecosystem that supports it

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    Questions?

    Thank you

    Alan Laubsch

    [email protected]