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Cambridge Centre for Risk Studies – New York Risk Briefing April 30, 2015 Financial Risk Scenarios Could Your Portfolio Hold Up?

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Page 1: April 30, 2015 Financial Risk Scenarios · 24 -60-40-20-20. 40. 60. 100-60-40-20-20. 40. 60. Belgium. Canada. House Price-to-Income Ratio % deviation from long term average Most Unaffordable

Cambridge Centre for Risk Studies – New York Risk Briefing April 30, 2015

Financial Risk Scenarios Could Your Portfolio Hold Up?

Page 2: April 30, 2015 Financial Risk Scenarios · 24 -60-40-20-20. 40. 60. 100-60-40-20-20. 40. 60. Belgium. Canada. House Price-to-Income Ratio % deviation from long term average Most Unaffordable

Financial Risk Scenarios: Could Your Portfolio Hold Up? Cambridge Centre for Risk Studies - New York Risk Briefing - April 30, 2015

Welcome

Dr Michelle Tuveson Executive Director

Centre for Risk Studies

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Agenda

Welcome Dr Michelle Tuveson Financial Stress Testing Dr Andrew Coburn Global Property Crash:

Narrative and Impacts Mr Simon Ruffle

Global Property Crash: Financial Market and Portfolio Impacts

Dr Eugene Neduv

Managing a Multiplicity of Financial Market Catastrophes

Prof Danny Ralph

Audience Q/A

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Stress Testing Focus for Our Annual Conference

Cambridge Centre for Risk Studies 2015 Risk Summit

June 22 & 23, 2015 Cambridge, United Kingdom ‘Risk Testing: Stressing the boundaries’

Venue for discussions about new approaches to

stress testing

4

Guest speakers include Riccardo Rebonato

author of Coherent Stress Testing

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Financial Risk Scenarios: Could Your Portfolio Hold Up? Cambridge Centre for Risk Studies - New York Risk Briefing - April 30, 2015

Financial Stress Testing

Dr Andrew Coburn Director of Advisory Board

Centre for Risk Studies

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Stress Testing: Recent Controversy

6

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Stress Testing Issues

Stress tests are criticized for being – Not tough enough

o Just a marketing exercise to increase public confidence in banks

– Unrealistic o One-dimensional o Not ‘coherent’ o Poor assumptions

– Extremely time consuming and resource intensive to perform

– Too predictable – Out of date by the time they are done

7

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Stress Testing Issues

The current debate includes How severe should stress tests be? What levels of severity reassure the market? What levels of security do we want our financial institutions

to represent? – We have explicit standards of failure tolerance in many other aspects

of society’s critical infrastructure – What should our ‘failure tolerance’ standard be for banks?

Can stress tests tell us about lower returns that result from lower risk?

What can financial institutions learn from other disciplines about their use of stress testing?

8

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9

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Financial Crises: Stock Market Loss

Historical Financial Crises

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Some Crises are More Common than Others

10

History of General Financial Crises

History of Sovereign Defaults

182 Sovereign defaults since 1810 (one every 1.2 yrs) Usually come in cascading waves of defaults

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Financial Crises Have Become More Common Start Date

End Date

No. Events Duration

Average Interval

All catalog 1720 1792 17 288 16.9 17C-late 20C 1720 1973 12 253 21.1 Post 1970s 1973 2014 5 41 8.2

11

Globalization is making crashes more systemic – National markets have always had their own crises periodically – Globalization has tended to mitigate localized crises – fewer small

local crises – But bigger local crises now infect more markets, drawing on capital

from many other markets Interconnectedness is increasing correlation and the potential for

global crashes

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Bank Run

Financial Irregularity

What Causes Financial Crises?

Qualitatively different causes of endogenous financial shocks

12

Financial Shock

Market Crash

Asset Bubble

Sovereign Default

Based on Allen & Gale 2009, Understanding Financial Crises

Flash Crash

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Plus ‘Exogenous’ Causes of Financial Crises

13

Famine

Water Supply Failure

Refugee Crisis

Welfare System Failure

Child Poverty

Hum

anita

rian

Cris

is

AidC

at

Meteorite

Solar Storm

Satellite System Failure

Ozone Layer Collapse

Space Threat

Exte

rnal

ity

Spac

eCat

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er

Nex

tCat

Labour Dispute

Trade Sanctions

Tariff War

Nationalization Cartel Pressure

Trad

e Di

sput

e

Trad

eCat

Conventional War

Asymmetric War

Nuclear War

Civil War

External Force

Geo

polit

ical

Con

flict

Terrorism

Separatism

Social Unrest

Assassination Organized Crime

Polit

ical

Vio

lenc

e

Earthquake

Windstorm

Tsunami Flood Volcanic Eruption

Nat

ural

Cat

astr

ophe

Nat

Cat

Drought

Freeze

Heatwave Electric Storm

Tornado & Hail

Clim

atic

Cat

astr

ophe

Wea

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Cat Sea Level Rise

Ocean System Change

Atmospheric System Change

Pollution Event

Wildfire Envi

ronm

enta

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Nuclear Meltdown

Industrial Accident

Infrastructure Failure

Technological Accident

Cyber Catastrophe

Tech

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Human Epidemic

Animal Epidemic

Plant Epidemic

Zoonosis Waterborne Epidemic

Dise

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Financial Irregularity

Bank Run

Sovereign Default

Market Crash

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Endogenous

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Cambridge Stress Test Scenarios for Portfolios

14

Exogenous Endogenous Historical Asset Bubble Global Property Crash

Sovereign Default Eurozone Meltdown

High-Inflation Food and Energy Price Spiral

De-Americanization Dollar Deposed

Geopolitical Conflict China-Japan War

Cyber Catastrophe Sybil Logic Bomb

Pandemic Sao Paolo Virus

Social Unrest Millennial Uprising

1929 Crash Wall Street Crash

1980s Debt Crisis Latin American Debt Crisis

1907 Bankers Panic Knickerbocker Crisis

Panic of 1893 Baring Bank Crisis

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Published Reports on Stress Test Scenarios

15

Taxonomy of Threats

Cyber Catastrophe Stress Test Scenario

Pandemic Stress Test Scenario

Geopolitical Conflict Stress Test Scenario

Available for Download from Website: CambridgeRiskFramework.com

Social Unrest Stress Test Scenario

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The 2015 Financial Risk and Network Seminar

Wednesday September 9, 2015 Venue: University of Cambridge, UK In collaboration with Journal of Network

Theory in Finance Many papers from key players in the field

presenting cutting-edge research Attendees include

– Regulators – Financial practitioners – Academics

Keynotes include central banks presenting their techniques for assessing systemic risk and capital requirements in their market

16

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Financial Stress Test Scenarios

17

Global Property Crash Sudden collapse of property prices in China followed by many other emerging and developed markets triggers a cascading crisis throughout the global financial system

Eurozone Meltdown Unexpected default of Italy is followed by a number of other European countries, leading to multiple cession from the Union and causing an extensive financial crisis for investors

High-Inflation World A series of world events puts pressure on energy prices and food prices in a price increasing spiral, which becomes structural and takes many years to unwind

Dollar Deposed US dollar loses its dominance as the default trading currency as it becomes supplanted by the Chinese Renminbi, with rapid unwinding of US Treasury positions and economic chaos

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Disclaimer: Extreme events “Just Plausible and Highly Unlikely”

Scenarios are not predictions Scenarios are stress tests for risk

management purposes – These are not forecasts of what is likely to happen – These are hypothetical: Illustrate an extreme but

plausible event in a particular threat class – Used for ‘what-if’ studies – Intended to improve business resilience to shocks

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Comparing Cambridge Scenarios with US Stress Tests

19

Stock Market Drop

House Price Crash

Unemploy-ment Rate

Markets Worst Impacted

Dodd Frank Stress Test 2015 60% 25% 10% US Eurozone Meltdown S1 55% 10% 9% Germany/UK/Euro

S2 80% 15% 10% X1 95% 20% 12%

Global Property Crash S1 70% 30% 8% China/Emerging Markets S2 85% 40% 9% X1 90% 60% 10%

High Inflation World S1 24% 30% 7% China/Japan S2 30% 40% 8% X1 40% 55% 9%

Dollar Deposed S1 30% 15% 8% US S2 45% 18% 9% X1 60% 30% 10%

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Financial Catastrophe Scenario Reports

20

Overview Global Property

Crash

Eurozone Meltdown

High Inflation World

Dollar Deposed

Available from Cambridge Centre for Risk Studies

Target Publication Date June 2015

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Financial Risk Scenarios: Could Your Portfolio Hold Up? Cambridge Centre for Risk Studies - New York Risk Briefing - April 30, 2015

Global Property Crash: Narrative and Impacts

21

Mr Simon Ruffle Director of Technology Research and Innovation

Centre for Risk Studies

Page 22: April 30, 2015 Financial Risk Scenarios · 24 -60-40-20-20. 40. 60. 100-60-40-20-20. 40. 60. Belgium. Canada. House Price-to-Income Ratio % deviation from long term average Most Unaffordable

Bubble Babble

22

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China Property Bubble

China housing prices have sustained an average annual growth rate of 17% for past decade

In same period, average growth of real GDP has been 10%

Great housing boom has generated a large number of empty (‘ghost’) apartments across major cities in China

In 2013 the national urban housing vacancy rate in China reached 22.4%

23

Page 24: April 30, 2015 Financial Risk Scenarios · 24 -60-40-20-20. 40. 60. 100-60-40-20-20. 40. 60. Belgium. Canada. House Price-to-Income Ratio % deviation from long term average Most Unaffordable

Property Market Bubble Risk

Tier 1: China & Emerging Markets China, Hong Kong, India, Brazil, Philippines, Indonesia, Turkey

Tier 2: Commonwealth Canada, Australia, New Zealand

Tier 3: Nordics Norway, Finland, Sweden

Tier 4: UK United Kingdom

Tier 5: Europeans France, Belgium, Netherlands

Tier 6: Other Europe Spain, Portugal, Italy, Greece, Ireland, Austria, Denmark

Tier 7: US United States

Tier 8: Prudent Europe Germany, Switzerland

Tier 9 Industrial Asia Japan and South Korea

Inflated Housing Markets

24

-60

-40

-20

-

20

40

60

80

100

-60 -40 -20 - 20 40 60

Belgium

Canada

House Price-to-Income Ratio % deviation from long term average

Most Unaffordable

Hou

se P

rice

to R

enta

l Rat

io

% d

evia

tion

from

long

term

ave

rage

Valu

e M

ost M

isal

igne

d w

ith R

enta

l

Australia

New Zealand

France

UK

Source: IMF Global Housing Watch

Norway

Netherlands

Sweden

Austria Spain

Denmark

Italy

Finland

Greece

Ireland

Switzerland USA

Slovak

S Korea

Japan

Estonia

Germany Portugal

China

Brazil

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Research Process

25

Scenario Specification

Contagion through the Financial System

Macroeconomic Consequences

Investment Portfolio Impact

Workshops

Model of Global

Financial System

Macroeconomic Model Global

Economic Model

Portfolio Model

HeavyTails Imagine Software

BlackRock Aladdin

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Housing Price Index Shocks

26

S1 S2 X1 Mortgage

Shock Non-Mrtg

Mrtg Shock

Non-Mrtg Shock

Mrtg Shock

Non-Mrtg Shock

Tier 1: China & Emerging Markets 30% 6% 40% 8% 60% 10% CN, HK, IN, BR, PH, ID, TR

Tier 2: Commonwealth 30% 6% 40% 8% 60% 10% CA, AU, NZ

Tier 3: Nordics 30% 6% 40% 8% 60% 10% NO, FI, SE

Tier 4: UK 25% 5% 35% 7.5% 50% 8% UK

Tier 5: Europeans 25% 5% 35% 7.5% 50% 8% FR, BE, NL

Tier 6: Other Europe 20% 4% 30% 7% 40% 7% ES, PT, IT, GR, IR, AT, DK

Tier 7: US 10% 1% 15% 2% US

Tier 8: Prudent Europe 10% 1% 15% 2% DE, CH

Tier 9: Industrial Asia 10% 1% 15% 2% JP, KR

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Cambridge Model of Global Financial System

Integrated multiple sources of data on banks, lending patterns, cross-holdings, and assets

First practioner model of global financial system Currently includes 18,516 banks

– Important to include all jurisdictions and markets as one global financial system

Incorporates several mechanisms of financial contagion:

– Interbank lending (Counterparty Failure Risk) – Commonly-held asset devaluation (Fire-Sales) – Ownership equity devaluation (Cross-Holding) – Repo borrowing calls (Rollover Risk)

Combination of contagion mechanisms is important

27

Data Sources include:

Page 28: April 30, 2015 Financial Risk Scenarios · 24 -60-40-20-20. 40. 60. 100-60-40-20-20. 40. 60. Belgium. Canada. House Price-to-Income Ratio % deviation from long term average Most Unaffordable

Centre for Risk Studies Network Model of Financial System

North American Bank

European Bank

Bank Elsewhere

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Global Systemically Important Banks (GSIBS)

HSBC

JP Morgan Chase FSB Bucket 4

BNP Paribas

Barclays

Deutsche Bank

Citigroup FSB Bucket 3

Mitsubishi UFJ FG

Royal Bank of Scotland

UniCredit Group

UBS

Bank of America

Credit Suisse

Morgan Stanley

Goldman Sachs FSB Bucket 2

ICBC

Bank of China

Sumitomo Mitsui FG

Société Générale Santander

BBVA

ING Bank

Mizuho FG

Standard Chartered

Nordea

Wells Fargo

New York Mellon

State Street

FSB Bucket 1

Star-finder guide

Page 30: April 30, 2015 Financial Risk Scenarios · 24 -60-40-20-20. 40. 60. 100-60-40-20-20. 40. 60. Belgium. Canada. House Price-to-Income Ratio % deviation from long term average Most Unaffordable

Summary of Financial System Statistics

18,516 banks – Total market value of $214 Trillion – Total equity value of $17.4 Trillion

Mortgage assets total $18.1 Trillion – Mortgage lending exceeds the equity value of banks

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Global Property Bubble Stress Test Scenario

China suffers a property crash

40% devaluation of prices in 6 months

China banks write-off their mortgage assets

Other property-related investment assets devalue

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Chinese Banks Sell Off Assets Banks’ balance sheets have reduced assets against their

liabilities

To fund their liabilities, they sell off some investment assets

This ‘fire sale’ devalues the assets of these investment classes

Other banks who own the same assets suddenly find their assets are devalued

These banks’ balance sheets also take a hit

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European Banks Start to Struggle

European banks are infected by asset sales from Chinese banks

Many suffer distressed balance sheets They reduce their lending to other banks Money flows start to dry up

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European Banks Infect the United States All major international banks now suffer When a bank reduces its lending, counterpart banks

reduce their lending to others The contagion causes a liquidity crisis The crisis in China has caused a global financial

catastrophe

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A Global Impact from a Financial Shock

Scenario wipes out 15% of the value of the global financial system Causes a $32 Trillion value loss Four G-SIBs and over 2000 financial institutions fail

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Financial Risk Scenarios: Could Your Portfolio Hold Up? Cambridge Centre for Risk Studies - New York Risk Briefing - April 30, 2015

Global Property Crash: Financial Market and Portfolio Impacts

36

Dr Eugene Neduv Risk Researcher

Centre for Risk Studies

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4 Representative Investment Portfolios

37

Fixed Income

77%

Alternatives 9%

Equity 10%

High Fixed Income

Fixed Income

55%

Alternatives 5%

Equity 40%

Conservative

Fixed Income

40%

Alternatives 10%

Equity 50%

Balanced Fixed

Income 25%

Alternatives 15%

Equity 60%

Aggressive

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Investment Portfolios by Geography Split

38

USD 35.0%

GBP 29.0%

Euro 23.0%

Yen 13.0%

High Fixed Income

US 41.0%

GBP 25.0%

Euro 25.0%

Yen 9.0%

Conservative

US 44.0%

GBP 23.0%

Euro 23.0%

Yen 10.0%

Balanced

US 45.0%

GBP 23.0%

Euro 23.0%

Yen 9.0%

Aggressive

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Total Asset Returns by Scenario Variant Conservative Portfolio

40

-25%

-20%

-15%

-10%

-5%

0%

5%

10%

Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Yr0 Yr1 Yr2 Yr3

Scenario Impact by Variant (Nominal vs Real)

BASELINE (Nominal)BASELINE (Real)S1 (Nominal)S1 (Real)S2 (Nominal)S2 (Real)X1 (Nominal)X1 (Real)

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Global Property Crash Equity Performance

42

-80%

-70%

-60%

-50%

-40%

-30%

-20%

-10%

0%

10%

20%

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Yr1 Yr2 Yr3

US Equity EUR Equity UK Equity Japan Equity

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Global Property Crash Fixed Income Performance

43

-10%

-5%

0%

5%

10%

15%

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Yr1 Yr2 Yr3

US FI EUR FI UK FI Japan FI

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Global Property Crash Portfolio Performance Comparison

44

-2.0

1%

-2.0

0%

-6.3

3%

-6.9

4%

0.95

%

-2.8

1%

-20.

82%

-22.

89%

1.51

%

-3.6

4%

-25.

46%

-27.

96%

2.26

%

-4.2

9%

-29.

84%

-32.

72%

Baseline S1 S2 X1

IMPACT AFTER 1 YEAR, REAL USD(%)

High Fixed IncomeConservativeBalancedAggressive

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Global Property Crash: Correlation Analysis

Standard Portfolio

Change in Portfolio Return: -29.23%

Before Shock Portfolio After Crisis

Impact on the assets in a standardized investment portfolio of the hypothetical stress test scenario Asset Correlation Structure

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Financial Risk Scenarios: Could Your Portfolio Hold Up? Cambridge Centre for Risk Studies - New York Risk Briefing - April 30, 2015

Managing a Multiplicity of Financial Market Catastrophes

46

Professor Danny Ralph Academic Director

Centre for Risk Studies

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2015 Macroeconomic Emerging Risk Scenarios

47

Global Property Crash Sudden collapse of property prices in China followed by many other emerging and developed markets triggers a cascading crisis throughout the global financial system

Eurozone Meltdown Unexpected default of Italy is followed by a number of other European countries, leading to multiple cession from the Union and causing an extensive financial crisis for investors

High-Inflation World A series of world events puts pressure on energy prices and food prices in a price increasing spiral, which becomes structural and takes many years to unwind

Dollar Deposed US dollar loses its dominance as the default trading currency as it becomes supplanted by the Chinese Renminbi, leading to rapid unwinding of US Treasury positions and economic chaos

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Scenarios with their Variants: Economic Impacts

48

S1 S2 X1 Asset Bubble Shock

Global Property Crash 11

(3%) 16

(4%) 23

(6%)

Sovereign Default Shock

Eurozone Meltdown 6

(2%) 13

(3%) 20

(5%)

Food and Energy Price Spiral

High Inflation World

5 (1%)

8 (2%)

11 (3%)

De-Americanisation of Financial System

Dollar Deposed 2

(0.5%) 2

(0.4%) -2

(-0.4%)

Global GDP@Risk US$ Tn

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Total Portfolio Returns by Scenario Conservative Portfolio

49

High Inflation World

Global Property Crash

Dollar Deposed

Eurozone Meltdown

-40%

-30%

-20%

-10%

0%

10%

20%

Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Yr0 Yr1 Yr2 Yr3

-40%

-30%

-20%

-10%

0%

10%

20%

Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Yr0 Yr1 Yr2 Yr3

-40%

-30%

-20%

-10%

0%

10%

20%

Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Yr0 Yr1 Yr2 Yr3

-40%

-30%

-20%

-10%

0%

10%

20%

Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Yr0 Yr1 Yr2 Yr3

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Comparison of Equity Performance for all Scenarios

50

-40%

-30%

-20%

-10%

0%

10%

20%

30%

Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Yr0 Yr1 Yr2 Yr3

Equity Comparison by Scenario by X1, Conservative Portfolio Structure (Real %)

Dollar DeposedEurozone MeltdownGlobal Property CrashHigh Inflation WorldBaseline

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Comparison of Fixed Income Performance for all Scenarios

51

-50%

-40%

-30%

-20%

-10%

0%

10%

20%

Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

Yr0 Yr1 Yr2 Yr3

Fixed Income Comparison by Scenario by X1, Conservative Portfolio Structure (Real %)

Dollar DeposedEurozone MeltdownGlobal Property CrashHigh Inflation WorldBaseline

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Rebalancing Equities

52

Worst Equity Performance Best Equity Performance

Asset Bubble Shock Global Property Crash

Sovereign Default Shock Eurozone Meltdown

Food and Energy Price Spiral High Inflation World

De-Americanisation of Financial System Dollar Deposed

Based on Cumulative Returns for Equity, Real USD %

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Rebalancing Fixed Income Bonds

53

Worst Equity Performance Best Equity Performance

Asset Bubble Shock Global Property Crash

Sovereign Default Shock Eurozone Meltdown

Food and Energy Price Spiral High Inflation World

De-Americanisation of Financial System Dollar Deposed

Based on Cumulative Returns for Fixed Income Bonds, Real USD %

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Resilience Based on 3 Year Outlook

54

High Fixed

Income

Conservative Balanced Aggressive

Asset Bubble Shock Global Property Crash + – – – – – Sovereign Default Shock Eurozone Meltdown + 0 0 – Food and Energy Price Spiral High Inflation World – – – – – – De-Americanisation of Financial System Dollar Deposed 0 + + +

X1 Scenario Variant Based on Max Downturn, Real USD %

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Portfolio Resilience

In order to anticipate the effect and your response to financial crises coherent stress tests are essential – These link timing, asset classes and geographies

Allocation involves timing Mitigation entails asset classes Rebalancing means geographies

55

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