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Presentation Title
Credit Risk Control at UBS Group

Presentation to NYU









January 25, 2006

Who we are …



 UBS is one of the world's leading financial firms.

We are

– one of the world's leading wealth management

businesses

– a global investment banking and securities firm

– a leading asset manager

– the market leader in Swiss retail and

commercial banking.



 Our first priority is our clients' success. As

an integrated firm, UBS creates added value for

clients by drawing on the combined resources

and expertise of all its businesses. As an

organization, UBS combines financial strength

with a global culture that embraces change.









1

Gross Credit Exposure by Business Group



Global Wealth TOTAL

Management & Investment Bank Other

UBS

Business Banking









2

Impaired loans and loan loss provisions

Problem loans are low in the Investment Bank ...





Impaired Loans (gross value) Loan Loss Provisions



25 14



12

20

10

CHF billion









CHF billion

15 8



10 6



4

5

2



0 0

1999 2000 2001 2002 2003 2004 Q3-05 1999 2000 2001 2002 2003 2004 Q3-05



Investment Bank GWM&BB (and other) Investment Bank GWM&BB (and other)









… and UBS reduced its recovery portfolio in Business Banking

3

Credit Risk Quantification - where we came from …





 Swiss bankruptcy rates increased

dramatically, …

 … real estate prices tumbled …

 … and loan losses surged









(from a 1997 presentation to the BIS [FSI])









 The mandate was to upgrade our risk control tools with a view to

– detecting weak customers and ensure proactive "work out" measures

– implementing a risk grading system for the "good portfolio"

– ensuring implementation of risk adjusted pricing across the portfolio





4

What we concentrated on …

Rapid implementation of behavioral change ...



Set-up of a framework

 to estimate the credit losses and introduce a comprehensive rating system for all

portfolios

 to "allocate" the risk costs including a return on risk adjusted capital to individual

transactions

6.00%

5.00%









Costs in %

4.00%

3.00%

2.00%

1.00%

0.00%

Funding Expected loss Operating Risk premium

expenses

Cost Elements





 to anchor credit policies to ratings and Expected Loss



… through pragmatic use of modeling techniques

5

What we have achieved …

Profitable lending activities, ...



New business originated in 4Q99



Corporate Loans  Margin on new Real Estate Loans

Real Estate Loans

loans



 "Fully loaded"

target margin



 Originated loan

volumes 1 2 3 4 5 6 7 8 9 10 11 12

1 2 3 4 5 6 7 8 9 10 11 12

Rating Rating









… and very low credit loss expenses



Credit Loss Expenses in CHF million

1997 1998 1999 2000 2001 2002 2003 2004 Q3-05

-1,278 -951 -956 130 -498 -115 -72 241 243





6

What has changed in the industry…

Paradigm shift in credit risk management

Degree of Specialization









Active Portfolio Mgmt

 portfolio focus

 risk/return optimization

 credit risk models

Risk Quantification  profit center of its own

 transaction focus  increasing liquidity allowing

 credit rating  for active portfolio mgmt

 expected loss concept  (buy, sell, hedge)

Traditional Model  portfolio analysis

 price differentiation New organization, possibility

 balance sheet focus  some liquidity of specialization of

 "yes/no" decision

individual institutions:

 loss avoidance Use of actuarial and

 no portfolio view  origination

statistical tools:  servicing

 "one price for all"

probability of default

  portfolio management

 no liquidity

 loss severity

 exposure at default

Gut Feel, expert knowledge

 default correlation



Degree of Sophistication

7

Risk Organization

"Checks and balances"









Risk Quantification

"Transparent risk assessment"

Credit Risk Culture

"One strategy - one goal"









Risk Limitation

"Focus on risk diversification"

Credit Risk Control - The key factors to success









8

Credit Risk Culture

Risk policy must be aligned with corporate objectives ...





Business

Independent

M anagement

Cont rols

Account abilit y









Earnings Reput at ion

Risk Disclosure

Prot ect ion Prot ect ion

Risk Risk

Ident if icat ion M easurement









Risk Policy Risk Report ing Risk Cont rol









… and be adopted "top down" by the Bank's origination and

risk management functions

9

Corporate Governance and responsibilities

Board of Directors

Group Internal Audit

Chairman's Office







Group Executive Board

Risk Policy









Group Chief Risk

GEB Risk Sub-Committee Officer

Group Chief









Independent Risk Control

Credit Officer

Group Head

Corporate Center Operational Risk

Risk Management









Market Risk Operational Credit Risk

Control Risk Control Control





Wealth Management &

Business Banking

Functional Leadership for

Global Asset Management

Credit Risk Control Units

within each Business

Investment Bank

Group

Wealth Management USA





10

Credit risk control at UBS ...

… is functionally independent from the business line, ...



Corporate Center

Risk methods



Group Chief Credit Officer Risk reporting



Credit authority Risk systems 102

Functional mgmt Risk review



Risk education









CCO Global WM&BB 417

CCO WM&BB



321

CCO

CCO Investment Bank

Investment Bank





Business groups







… but an integrated partner of the business groups

11

Business Management and Risk Control

"Separation of power" is key to successful ...



Origination  Client Management

 Business Origination

Clients / Market









Risk Management  Loan Book Management

 Risk/return Optimization





Operations  Transaction Execution

 Loan Disbursement







Risk Control  Model Certification

 Risk Limits and Control





… optimization of risk and reward

12

Statistical Loss: "Value-at-risk"

...

Market risk and credit risk measures are different

Market Risk Credit Risk



Characteristics of









Frequency

the distribution

 

Loss

 

Convention of

 10 days - 99%  1 year - e.g. 99.98%

measurement

 Higher losses are expected  Higher losses in out of

more than twice per year! 5,000 years? …



 Mean value is not zero!



 Mainly factor driven  Often firm-specific

Significant  Immediate occurrence  Large time lag, if

Loss Events economy swings



 Mostly not a problem

 In many segments very

difficult

Availability of

data



13

Expected Loss

Three key variables determine the outcome but their estimation is

often difficult

LOSS SEVERITY

PROBABILITY OF DEFAULT

M oody's Default Statistics 1983 - 2004 M ore Inf erior

collat eral st ruct ure

12.00%



10.00%

Observed Defaults









8.00%



6.00%



4.00%



2.00%

25% 50% 75%

0.00%

83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04

Year



Investment Grade - Avg 0.07% Speculative Grade - Avg 4.99% All Issuers - Avg 1.68% EXPOSURE AT DEFAULT

OTC Derivat ives St and-by lines

PD x LGD x EXP = Expected Loss E xp ect e d

E x po s ur e Total

Line

Performing Defaulting



LEQ*=x/y









Terminology: y







PD = Probability of Default x









LGD = Loss Severity (given default) Usage









EXP (or EAD) = Exposure (at default) W e Owe 0



M ar k t o M a r k et V al u e

They Ow e









14

Rating methods are key

Risk quantification begins with a "correct" stratification of clients

by means of …

100.00%

1 2 3 4 5 6 7 8 9 10 11 12





10.00%

Default Rates









1.00%









0.10%









0.01%

Int ernal Rat ing Grade



PD min PD max Observed DR







… high quality rating methods









15

Risk concentrations drive portfolio risk

the individual Unexpected

Loss of each loan default

= Concentration risk single

loan

no default









the common default single

behaviour of several loans default

= Loss Correlation several

loans common

default





no default





16

Credit Risk Modeling

All transactions with their attributes are entered

into a simulation model that causes clients to default ...



Value Rat ing Collat eral Exposure Diversif icat ion

Drivers



Statistical LGD EXP

PD x x Correlat ion

M easures



M odel Output





Loss









Frequency

Result









Loss

Result









Loss

Result









Repayment Impairment  

Repayment Impairment

Repayment Impairment Loss



Single Transaction Level Portfolio Level:

M odelling of Possible Outcomes





… and produces a distribution of possible

portfolio losses

17

Extreme events and stress testing

Stress testing and limit setting are based on several analytical

methods



Statistical analysis

Scenario analysis

 "Tail Risk"

Frequency









"What, if" portfolio

assessment, e.g.

   Bankruptcy rates

 Asset values

Loss









Limit setting to

avoid undue risk

concentrations:

 Counterparty

   Sector

Earnings capacity  Country

and to protect earnings

18

Credit exposure hedging





Exposure Exposure

Funded Risk Allow ances Nominal af t er after

Part icipat ions, f or Credit Amount of Applicat ion Application

Gross Risk Transf ers Loss and Adjusted Credit of Credit of Credit

Credit and Cash Loan Loss Credit Prot ect ion Hedges Hedges

1) 2) 3)

(All amount s in CHF mn) Exposure Collat eral Provisions Exposure Bought 4) 30.09.05 5) 30.09.04 5)

Banking product s 116,136 (3'664) (178) 112'294 30,972 88,633 48,665

M oney M arket 18,145 - - 18'145 - 18,145 9,344

Subt ot al BP+M M 134,281 (3'664) (178) 130'439 30'972 106,778 58,009

Traded product s 119,329 - (191) 119'138 6,805 114,117 110,974

Total credit exposure 253,610 (3'664) (369) 249'577 37,777 220,895 168,983

1)

Gross Credit Exposure includes loans, money market deposits, contingent claims, unutilized commitments, nostro and current balances

2)

Includes provisions on contingent assets

3)

Columns cannot be totalled

4)

Notional amount of credit protection bought on adjusted credit exposure positions includes Credit Default Swaps (CDS) and the funded portion of structured









19

Credit risk control measures

Credit events have many causes, are difficult to predict ...









… and can create substantial losses

20

Credit risk mitigation

Risk taking capacity with many clients would be limited, ...





 Credit derivative transactions to reduce economic exposure



UBS Invest m ent Bank

Credit Hedging of Banking Product s

Basic Credit Net

(in CHF million as of 31.12.2004) Exposure Hedges Exposure

Investment grade 54,987 -19,041 35,946

Sub-investment grade 30,193 -2,806 27,387

Impaired and defaulted 391 391

Total banking products 85,571 -21,847 63,724









 Collateralization and netting agreements for OTC derivatives





… if risk mitigation could not be effectively used



21

Active credit portfolio management

Active portfolio management is not equally available ...



 Markets for retail portfolios have existed for a very long time: individual names are

irrelevant

 Rapid growth of sophisticated risk management tools for large corporates:

individual names are known

 The challenge is for the middle market segment where individual names matter but

are not really known

M arket









Ret ail SM E Large Corporat es



Segm ent





… for all customer and product classes

22

Contact Information









Philip J. Lofts

Group Chief Credit Officer

Stamford

Tel. 203-719-3320

e-mail: philip.lofts@ubs.com









23


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