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Briefing on the Bank of England Stress Test: Common & Bespoke Scenarios Dr. PETR ZEMCIK, DIRECTOR

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This presentation covers the development process used for creating fully expanded common baseline and stress scenarios, based on projections published by the Bank of England.

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Page 1: Briefing on the Bank of England Stress Test

Briefing on the Bank of England Stress Test:Common & Bespoke Scenarios

Dr. PETR ZEMCIK, DIRECTOR

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Introduction1

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Independent provider of credit rating opinions and related information for nearly 100 years

Research, data, software, and related professional services for financial risk management

3

About Moody’s Analytics

Moody's Analytics operates independently of the credit ratings activities of Moody's Investors Service. We do not comment on credit ratings or potential rating changes, and no opinion or analysis you hear during this presentation can be assumed to reflect those of the ratings agency.

Leading global provider of credit rating opinions, insight, and tools for credit risk measurement and management

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Economic & Consumer Credit Analytics – Our Services

Forecasts with Alternative Scenarios

Risk Management, Strategic Planning, Business and Investment Decisions

Macro, Financial Data and Economic Research

Regulatory Stress Test Advisory Services

Consumer Credit Analytics

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Today’s Speaker

5

Dr. Petr Zemcik, Director Chief European EconomistDr. Zemcik supervises a group of economists responsible for analysis, modeling,

and forecasting for Europe. He holds a PhD and MA in Economics from the University of Pittsburgh and MSc in Econometrics and Operations Research from the University of Economics in Prague.

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» Introduction» Regulatory Scenarios Framework» Interest Rates Paths» Foreign Exchange Rates: Fundamentals & No Arbitrage» Fed Taper 2014: FX & Yield Shock» Output Projections: U.K. and Other Countries and Regions» Extension to Other Variables» Financial Models And Credit Risk» Concluding Remarks

Agenda

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Please send your questions to

[email protected]

7

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Regulatory Scenario Framework2

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» January 10 – Firms submit high-level risks to PRA*» January 31 – PRA provides comments on risks explored by firms*» February 24 – Firms submit worked-up scenario.*» March 12 – banks submit detailed portfolio data up to yr-end 2013.» March 31 – PRA baseline and stress scenarios published.» April 4 – official submission of bespoke scenarios.*» April 4 – MA completes forecasts for PRA baseline and stress Scenarios.» April 9 – MA completes narratives for PRA baseline and stress Scenarios.» April 30 – PRA board approves risks.*» Q2 – banks analyse impact of scenarios.» June 30 – results approved by each bank’s Board submitted to the PRA.» Q2/Q3 – The BoE runs regulatory models and compares results with

banks’ analysis. The BoE also conducts system-wide & feedback analysis.» Q4 – FPC/PRA Board decisions and disclosure.

* Dates related to bespoke scenario development.

Expected PRA 2014 Stress Test Timeline

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Regulatory and MA Stress ScenariosPRA Anchor Scenario 2013H2- Dual banking and sovereign debt crisis. - High/low interest path

FED CCAR 2013 ScenariosAdverse Scenario- High interest rates, low inflation- Motivated by the Great Recession, FED TaperSeverely Adverse Scenario- Euro zone crisis, global recession

MA Stress ScenariosEuro Zone Crisis (“S4”)- Dual banking and sovereign debt crisis, Grexit. Oil Price Shock (“S6”)- Stagflation, high interest rates

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» PRA 2013H2– Provided series: 14 U.K., 14 U.S., 2 Euro Zone– MA: 19 countries, 2 regional aggregates – Euro Zone and Asian-Pacific

» CCAR 2013– Provided series: 16 U.S., 3 EUZN, 3 DA, 3 U.K.– MA: 36 countries, 9 regional aggregates– Delivery in business days: U.S. 3 days, countries 4 days, regional aggregates 5 days –

World, North America, South America, Developed Asia, Developing Asia, Europe, Euro Zone, Middle East and Africa, Oceania

– 30 US CCAR banks.

» MA Models/Capacity– U.S. model 1600+ variables– 55 country models, 60+ variables each– Financial market and credit risk models– Numerous satellite support models

PRA/BoE & CCAR/Fed Scenarios in Numbers

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Moody’s Analytics Country Model Design

Exchange rates

Investment

Wages and salaries

Population

Prices

GDP

Monetary policy rate

Imports

Government

Exports

Global GDP

Unemployment rate

Consumption

Labor force

Employment

Potential GDP

Other deflators

Import prices

10-yr yield

Global prices

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Interest Rates Paths3

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Variable Description Coef.1

Real 10-yr yields(fwrgt10yq.igbr-@pcy(fwcpiq.igbr)); R2=0.63, 1995Q4-2013q3

C constant 0.72*

@movav(@pcy(fwgdplq_igbr(-1)),3)Nominal GDP (Bill. GBP, SAAR) - 0.09

fwrmpolq.igbr-@pcy(fwcpiq.igbr) BoE discount rate (NSA), real 0.84***

@movav((fwggbblq_igbr/fwgdplq_igbr),4)Budget balance ratio to nominal GDP(SA)

- 81.37***

Monetary policy rate (dlog(fwrmpolq.igbr)); R2=0.54, 1998Q2-2013q3

C constant - 0.09***

d(fwlbrq.igbr-fnairu.igbr) Unemployment gap (SA) - 0.39***

dlog(@movav(fwcpiq_igbr(),1))Consumer price index(2005=100, SA) 9.42***

Fundamentals Drive Interest Rates in Long-Run

1 With“***” the variable is significant at 1%, with ”**” at 5% and with “*” at 10%

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0

1

2

3

4

5

6

7

8

9

Actual 10-yr bond yieldFitted 10-yr bond yieldActual policy rateFitted policy rate

Policy Rates and Yields Fitted vs. ActualU.K. rates, %

Source: Moody’s Analytics

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0

1

2

3

4

5

6U.K. U.S. Euro zone

Assumptions for the PRA Policy RatesPRA policy rates, %

Sources: ECB, BoE, Fed, Moody’s Analytics

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1

2

3

4

5

6

7U.K. U.S. Euro zone Germany Italy

Yields in the Low Path Anchor ScenarioPRA 10-yr government bond yields, %

Sources: ECB, BoE, Fed, IMF, Bank of Italy, Moody’s Analytics

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0

1

2

3

4

5

6

7

810-yr govt. bond yield 3-mo libor

NFC loan rate BoE policy rate

NFC Loan Rate DeterminationPRA, U.K. rates, %

Sources: BoE, BBA, ONS, Moody’s Analytics

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Exchange Rates:Fundamentals & No Arbitrage4

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1.4

1.6

1.8

2.0

Good Fit for GBP/USD Exchange Rate$ per £, log(fwtfxiusaq.igbr); R2=0.42, 1998Q1-2012Q3

Source: Moody’s Analytics

Variable Description Coef.1

C constant - 0.74***

log(fwcpiq.iusa/fwcpiq.igbr) U.S.- U.K. inflation gap 1.99***

log(fwrmpolq.igbr/fwrmpolq.iusa)U.K.- U.S. policy rate gap

- 0.05***

1 With“***” the variable is significant at 1%, with ”**” at 5% and with “*” at 10%

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80

90

100

110

120

130

140Pound per $ Euro per $ Yen per $

Dollar Depreciates in the Anchor ScenarioPRA exchange rates, 2013Q4=100

Source: Moody’s Analytics

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70

80

90

100

110

120

130Pound per $ Euro per $ Yen per $

The Fed Sets Main Exchange RatesCCAR exchange rates, Severely Adverse Scenario, 2013Q3=100

Source: Moody’s Analytics

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Fed Taper 2014:FX and Yield Shock5

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Jan-08Jan-08Jan-08Jan-08Feb-08Feb-08Feb-08Feb-08Feb-08Mar-08Mar-08Mar-08Mar-08Apr-08Apr-08Apr-08Apr-08May-08May-08May-08May-08May-08Jun-08Jun-08Jun-08Jun-08Jul-08Jul-08Jul-08Jul-08Aug-08Aug-08Aug-08Aug-08Aug-08Sep-08Sep-08Sep-08Sep-08Oct-08Oct-08Oct-08Oct-08Oct-08Nov-08Nov-08Jan-09Jan-09Jan-09Jan-09Jan-09Feb-09Feb-09Feb-09Feb-09Mar-09Mar-09Mar-09Mar-09Apr-09Apr-09Apr-09Apr-09May-09May-09May-09May-09May-09Jun-09Jun-09Jun-09Jun-09Jul-09Jul-09Jul-09Jul-09Jul-09Aug-09Aug-09Aug-09Aug-09Sep-09Sep-09Sep-09Sep-09Oct-09Oct-09Oct-09Oct-09Oct-09Nov-09Nov-09Nov-09Nov-09Dec-09Dec-09Dec-09Dec-09Jan-10Jan-10Jan-10Jan-10Jan-10Feb-10Feb-10Feb-10Feb-10Mar-10Mar-10Mar-10Mar-10Apr-10Apr-10Apr-10Apr-10Apr-10May-10May-10May-10May-10Jun-10Jun-10Jun-10Jun-10Jul-10Jul-10Jul-10Jul-10Jul-10Aug-10Aug-10Aug-10Aug-10Sep-10Sep-10Sep-10Sep-10Oct-10Oct-10Oct-10Oct-10Oct-10Nov-10Nov-10Nov-10Nov-10Dec-10Dec-10Dec-10Dec-10Dec-10Jan-11Jan-11Jan-11Jan-11Feb-11Feb-11Feb-11Feb-11Mar-11Mar-11Mar-11Mar-11Apr-11Apr-11Apr-11Apr-11Apr-11May-11May-11May-11May-11Jun-11Jun-11Jun-11Jun-11Jul-11Jul-11Jul-11Jul-11Jul-11Aug-11Aug-11Aug-11Aug-11Sep-11Sep-11Sep-11Sep-11Sep-11Oct-11Oct-11Oct-11Oct-11Nov-11Nov-11Nov-11Nov-11Dec-11Dec-11Dec-11Dec-11Dec-11Jan-12Jan-12Jan-12Jan-12Feb-12Feb-12Feb-12Feb-12Mar-12Mar-12Mar-12Mar-12Mar-12Apr-12Apr-12Apr-12Apr-12May-12May-12May-12May-12Jun-12Jun-12Jun-12Jun-12Jun-12Jul-12Jul-12Jul-12Jul-12Aug-12Aug-12Aug-12Aug-12Aug-12Sep-12Sep-12Sep-12Sep-12Oct-12Oct-12Oct-12Oct-12Nov-12Nov-12Nov-12Nov-12Nov-12Dec-12Dec-12Dec-12Dec-12Jan-13Jan-13Jan-13Jan-13Feb-13Feb-13Feb-13Feb-13Mar-13Mar-13Mar-13Mar-13Mar-13Apr-13Apr-13Apr-13Apr-13May-13May-13May-13May-13May-13Jun-13Jun-13Jun-13Jun-13Jul-13Jul-13Jul-13Jul-13Aug-13Aug-13Aug-13Aug-13Aug-13Sep-13Sep-13Sep-13Sep-13Oct-13Oct-13Oct-13Oct-13Nov-13Nov-13Nov-13Nov-13Nov-13Dec-13Dec-13Dec-13Dec-13Jan-141.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

5.0

5.5U.S. Germany U.K. Fed tapering

first mooted in May 13

Tapering con-firmed to start Jan 14

German Yields Decouple From the U.S. and U.K.

Sources: Bloomberg, Moody’s Analytics

10-yr government bond yields, %

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Germany France Italy Spain0.0

0.5

1.0

1.5

2.0

2.5

3.0

BaselineBond yield spike 100 bpsEuro 10% depreciationCombined impact

Fed Tapering Could Affect European GrowthReal GDP growth in 2014 under alternative assumptions, %

Source: Moody’s Analytics

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Output Projections: U.K. and Other Countries and Regions6

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» GDP targets across countries and scenarios

– Time series regressions – Severity

» Decomposition of GDP into components

» Aggregates (e.g. Euro zone)– Bottom-up approach– Targeting

Challenges

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Variable Description Coef.1

German GDP (dlog(fwgdpl$q_ideu)); R2=0.84, 2000Q2- 2013Q2

C constant -0.0003

dlog(fgdp$_fedb.us)U.S. real GDP under Fed CCAR baseline (Bil. 2009 USD, SAAR)

-0.013

dlog(fwgdpl$q_fedb.ieuzn) Euro zone real GDP under Fed CCAR baseline (Bil. 2005 EUR, SAAR)

1.312***

dlog(fwgdpl$q_fedb.igbr) U.K. real GDP under Fed CCAR baseline (Bil. 2009 GBP, SAAR) -0.249*

dlog(fwgdpl$q_fedb.ijpn)Japan real GDP under Fed CCAR baseline (Bil. 2005 JPY, SAAR)

0.130*

dlog(gdp_febd_asia)Developing Asia real GDP under Fed CCAR baseline ( Bil. 2009 USD, SAAR)

0.025

dlog(fwgdpl$q_ideu(-1))Germany real GDP (Bil. 2005 EUR, SAAR)

0.030

Germany CCAR Target Estimation

1 With“***” the variable is significant at 1%, with ”**” at 5% and with “*” at 10%

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U.S. U.K. Euro Zone

Start-to-trough, %

PRA -4.6 -4.8 -5.2

CCAR Adverse -0.4 -0.9 -1.6CCAR Severely Adverse -2.1 -3.7 -3.9

S4 -4.3 -4.4 -4.8

Probability of a worse start-to-trough, %

PRA 4.6 1.5 3.3

CCAR Adverse 34.5 16 23.3CCAR Severely Adverse 17 2.7 8.1

S4 5.5 1.6 4.4

Anchor Scenario Is the Most Severe

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Variable Description Coef.1

Real household consumption per capita (dlog((fwcl$q_igbr/fwpopq_igbr)); R2=0.56, 1995Q3-2012Q2

@movav(d(fwrgt10yq.igbr-@pcy(fwcpiq.igbr)),3)10-year discount bond yield (NSA), real

-0.003

pdl(dlog((fwypdlq.igbr()/(fwcpiq.igbr()*fwpopq.igbr()))),4,2,3)

Real disposable income per capita (Bil. 2005 GBP, SA)

0.115***

dlog(@movav(fcpificeboiu.us(-2),4)) Brent crude oil futures price ($ per barrel, NSA)

-0.006

dlog(fwhplq.igbr)Average nominal house prices (GBP, SA)

0.137***

dlog(fwstockpq.igbr) FTSE-100 Index 0.028**

Real fixed investment (dlog(fwifl$q_igbr)); R2=0.36, 1999Q2-2012Q2

d(@movav(fwrmpolq.igbr-@pcy(fwcpiq.igbr),1)) BoE discount rate (NSA), real 0.008

dlog(fwgdpl$q.igbr(-1)) Real GDP (Bil. 2009 GBP, SAAR) 1.155***

dlog(fwstockpq.igbr(-2)) FTSE-100 Index 0.115***

Investment And Consumption in the U.K.

1 With“***” the variable is significant at 1%, with ”**” at 5% and with “*” at 10%

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800

900

1,000

1,100

1,200

1,300

1,400

1,500

1,600

1,700C C+I C+I+G C+I+G+(X-M)=GDP

Consumption a Large Portion of the U.K. OutputPRA U.K. GDP components, 2009£ bil, SAAR

Sources: ONS, Moody’s Analytics

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-7-6-5-4-3-2-1012345

U.K.

U.S.

Euro zone

Germany

Spain

Anchor Scenario Across Countries and Regions

PRA GDP, % change yr ago

Source: Moody’s Analytics

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-5

-4

-3

-2

-1

0

1

2

3

4

Baseline

Adverse

Severely Adverse

Fed U.S. Output Targets for CCAR ScenariosCCAR U.S. GDP, % change yr ago

Source: Moody’s Analytics

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-7-6-5-4-3-2-10123456

U.K. U.S. Euro zone Germany Spain

Severe Adverse Caused by a Euro Zone CrisisCCAR Severely Adverse GDP, % change yr ago

Source: Moody’s Analytics

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Extension to Other Variables7

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-18

-14

-10

-6

-2

2

6

10

U.K.

U.S.

Germany

Spain

House Prices Crush in the Anchor Scenario…PRA house prices, % change yr ago

Source: Moody’s Analytics

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-12-10

-8-6-4-202468

10

U.K.

U.S.

Germany

Spain

… Retail Sales Decline Initially…PRA retail sales, % change yr ago

Source: Moody’s Analytics

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5

10

15

20

25

30

35Euro zone Germany Spain

… Unemployment Rises RisePRA unemployment rate, %

Source: Moody’s Analytics

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2

4

6

8

10

12

14

16

18Europe North AmericaEuro zone WorldLatin America Developed AsiaDeveloping Asia

CCAR UnemploymentCCAR unemployment rate, %

Source: Moody’s Analytics

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Financial Markets and Credit Risk8

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» Modelling of the term structure of Government yields. » Modelling of the term structure of swap rates. » Modelling of the term structure of corporate yields (or spreads to

government yields) by ratings. » Modelling of 5-year sovereign CDS indices. » Modelling of rating migration matrices of global issuers of bonds

rated by Moody’s Investors Service. » Return and volatility modelling of stock indices traded on the major

global exchanges. » Return and volatility modelling of major bilateral spot foreign

exchange rates. Decomposition of GDP into components.» Moody’s CreditCycle™ for econometric models

Market Variables and Credit Risk

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Financial Models: PRA U.K. Swap Rate Curves

42

Time-series of specific maturities for GBP swap ratesHistory and forecasts, baseline and anchor scenarios

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Financial Models: CCAR U.K. Swap Rate Curves

43

Time-series of specific maturities for GBP swap ratesHistory and forecasts, CCAR Baseline, Severe, and Severely Adverse scenarios

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Concluding Remarks9

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» U.K. Stress Testing Framework evolving to a more granular, frequent and rigorous approach (FDSF)

» M.A. Scenario development: “map” the scenario assumptions to a large number of global macro, market, and credit factors (inputs into the ST framework).

» PRA 2014: Delivery in 5 business days.

Summary

Q&A Session

Please send your questions to [email protected]

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For more analysis and research on Europe and the

global economy please visit

www.economy.com

46

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www.economy.com

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United KingdomOne Canada Square Canary Wharf London E14 5FA+44.20.7772.5454

PragueWashingtonova 17110 00 Prague 1Czech Republic+420.22.422.2929

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