Risk Management Review May 1, 2007 Outline for todays discussion - - PowerPoint PPT Presentation

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Risk Management Review May 1, 2007 Outline for todays discussion - - PowerPoint PPT Presentation

Financial Integrity, Oversight and Broadened Capital Markets Risk Management Review May 1, 2007 Outline for todays discussion Introductions Review of objectives of risk management sub- component and specific tasks Overview of


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SLIDE 1

Financial Integrity, Oversight and Broadened Capital Markets

Risk Management Review

May 1, 2007

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SLIDE 2

Outline for today’s discussion

Introductions Review of objectives of risk management sub-

component and specific tasks

Overview of Risk Management

Definitions and terminology Credit Risk Operational Risk

Discussion of your ideas and objectives Next steps

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SLIDE 3

Sarah (“Sally”) W. Hargrove

Native of North Carolina Wharton MBA, CFA Thirty years of experience in investment and commercial

banking in NY, NC and PA

Top bank regulator in Commonwealth of PA for banks,

savings institutions, licensed lenders

Consulting for past 12 years in primarily emerging markets

(technical assistance and training in bank appraisals, risk management and corporate governance)

Worked with CBJ on risk management, early warning

system, and corporate governance

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SLIDE 4

General objectives of risk management sub-component

Address practical issues for implementation

  • f risk management systems for BIS II

compliance

Build risk management capacity in Jordanian

banks by providing useful tools and solutions to practical problems

Provide roadmap for evolution to IRB

(Foundation) in 2012

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SLIDE 5

Objectives for first phase of risk management sub-component

Conduct kick-off session to identify practical

problems in implementing risk management and BIS II

Follow up with private interviews Work with interested banks to develop

methodology for standardized risk rating system

Conduct risk management diagnostics

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SLIDE 6

Today is a kick-off

Provide general overview of risk and risk

management

Establish a baseline of risk knowledge,

common terminology and understanding of BIS requirements

Provide overview of different credit rating/risk

measurement approaches

Hear from you

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SLIDE 7

Follow-up individual or group meetings as requested

Develop methodology for creating a

standardized internal risk rating system

Conduct individual bank diagnostics

Gap analysis Focus on policies and procedures Reports for monitoring Organizational structure

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SLIDE 8

Certain principles rule financial intermediation in free markets

Supply and demand

  • Interest rate as the “clearing price”
  • Opportunity cost of consumption/investment

Rational investors

  • Risk averse
  • Maximize return/Minimize risk

Efficient markets

  • Allocation of resources
  • Information impounded in prices
  • Competition
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SLIDE 9

Perceived risk is based on historical or expected volatility

20 40 60 80 100 120 140 160 1 2 3 4 5 6 7 8 9 10 Series1 Series2

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SLIDE 10

Tail Probability = 2.5%

Distribution of actual or expected occurrences

  • Normal distribution
  • Skewed distribution
  • Range
  • Variance
  • Standard deviation

Features Features

Universally risk is defined by volatility

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SLIDE 11

The higher the risk, the higher the required rate of return

Required rate of return determines the price

Current income stream Capital appreciation

Perceived risk determines the required return

The greater the historical volatility the greater the risk The greater the uncertainty the greater the risk The longer the horizon the greater the risk

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SLIDE 12

Risk is priced by the discount rate: absolute and relative

Risk Free Rate Level of Risk Common Stock Rate of Return Risk Premium Treasury Bonds First Mortgage Bonds 2nd Mortgage Bonds Subordinated Debentures Income Bonds Preferred Stock

  • Conv. Preferred

AAA AA A BBB BB B CCC MV=PV = Σ C + TV

t=0-n (1+r)t (1+r)t

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SLIDE 13

E x p e c t e d R e t u r n Risk/Standard Deviation A C B

Risk measurement allows us to make a trade-off with return

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SLIDE 14

Short-term vs longer-term Liquidity Floating vs fixed rates Credit Leverage

There is risk-reward trade-off inherent in financial intermediation

Risk is defined as volatility in earnings and/or capital

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SLIDE 15

Capital needs to support major risks in financial institutions

On and off balance sheet credit exposures Interest rate and equity risk in trading book; FX and commodity risks in banking and trading books Primarily failed processes or event risk (not strategic or reputational risk)

Credit Risk Market Risk Operational risk

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SLIDE 16

So how much capital does a financial institution need? “Enough…but not too much.”

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SLIDE 17

What is enough capital?

Capital protects depositors and creditors

Safety and soundness Supports growth Is a buffer against losses Can be in the form of non-equity Equity capital represents owners’ interests Last creditors to be paid in liquidation Requires a return in cash income and appreciation Retained earnings are a good source of capital

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SLIDE 18

Capital is a non-interest bearing source of funds

Equity capital is the most expensive source of funds Must earn a required rate of return (ROE) Is a scarce resource

Management’s goal is to maximize risk-adjusted

returns

Competes with risk-free rate and alternative

investments

Affects pricing and competitive position if too much

What is too much capital?

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SLIDE 19

Capital adequacy is in the eyes

  • f the beholder

Focus is historical cost of assets and recognition of impairment (fair value) Focus is historical cost of assets and recognition of impairment (fair value)

Accounting capital Market capital Economic capital Regulatory capital

Focus is income, the market’s expectations and required return Focus is income, the market’s expectations and required return Focus is market value (PV of cash flows) of assets/liabilities Focus is market value (PV of cash flows) of assets/liabilities Focus is balance sheet and income risk and capital components Focus is balance sheet and income risk and capital components

BIS II attempts a more precise calibration of economic and regulatory capital

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SLIDE 20

In a perfect market the different capital values would be equal

Book values represent present values of future

cash flows discounted at current required rates

  • f return

Market values of capital stock reflect net present

values

Economic capital is the same as net book value Regulatory capital would be a realizable value

  • f assets in excess of liabilities
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SLIDE 21

Capital requirements can be a competitive advantage

Japanese Bank US Bank Capital 2% 6% USD 2 million USD 6 million ROE 30% 20.8% Loan USD 100 million USD 100 million Net interest margin .6% 1.25% Income USD 600,000 USD 1,250,000

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SLIDE 22

BIS II permits banks to customize capital adequacy assessment

Align regulatory capital requirements more

closely with underlying risk

Emphasis is on banks’ risk management and

economic capital allocations

There is flexibility in assessing capital

adequacy: standardized vs. IRB approaches

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SLIDE 23

Capital must be allocated to support major banking risks

Credit Risk

  • Standardized Approach
  • IRB Approach
  • Foundation
  • Advanced

Market Risk

  • Standardized Approach
  • Internal Models Approach

Operational Risk

  • Basic Indicator Approach
  • Standardized Approach
  • Internal Measurement Approach

Minimum 8% of Capital to Risk-Weighted Assets

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SLIDE 24

Capital adequacy is a function of three pillars

Pillar 3: Market Discipline

  • Formal disclosure policy
  • Describe risk profile, capital levels, risk

management process and capital adequacy

Pillar 1: Minimum Capital

  • Internal capital assessment process

and control environment

  • Capital f (how sound the process is)

Pillar 2: Supervisory Review

  • Review assessment process
  • Evaluate IRR in banking book

Mutually reinforcing factors that determine capital adequacy

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SLIDE 25

Ultimately the financial market is the harshest regulator

Market Discipline

Quantitative Requirement Qualitative Requirement Public Disclosure

Minimum Capital Requirement Supervisory Review Process

  • Many players
  • Self interested,

rational

  • Independent
  • Real time
  • Many players
  • Self interested,

rational

  • Independent
  • Real time
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SLIDE 26

Capital required is a function of the quality of information

The less the history, the less reliable the

data

The less certain or transparent, the greater

the risk

The more the risk, the more capital needed All the above implies higher capital levels

for some institutions in less mature markets

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SLIDE 27

Capital absorbs unexpected losses and supports growth

“ “Capital is not a substitute for inadequate Capital is not a substitute for inadequate control or for risk management control or for risk management processes. processes.” ”

  • Bank for International Settlements
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SLIDE 28

Banks make money by assuming risk Banks lose money by not managing risk or

by not getting paid for the risk assumed

Banks manage what they measure

Assumption of risk is the raison d’etre of banking

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SLIDE 29

Risk Management is the deliberate acceptance of risk for profit – making informed decisions on the trade-offs between risk and reward and using various financial and other tools to maximize risk-adjusted returns within pre-established limits.

A formalized risk management framework is best practice

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SLIDE 30

A Risk Management facilitates informed decision-making

Identify Measure Manage Monitor

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SLIDE 31

Risk Management is now basic to financial management

“The nature of Risk Management in banks is changing

  • fundamentally. Until recently, it has been an exercise

in damage limitation. Now it is becoming an important weapon in the competitive struggle between financial institutions. Those who can manage and control their risks best will be the most profitable, lowest priced producers. Those who misjudge or mis-price will be out on their ear.”

The Risk Game The Economist, Survey of International Banking (1996)

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SLIDE 32

The primary objective is to minimize the volatility of earnings and capital (hence the risk as perceived by investors) and at the same time earn a ROE to maintain the value

  • f the common equity.

Risk management permits risk- reward trade-offs

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SLIDE 33

Risk management permits better performance measurement

  • Asset volume/growth
  • Revenues
  • Contributions
  • # New customers/clients
  • Asset volume/growth
  • Revenues
  • Contributions
  • # New customers/clients

TRADITIONAL PERFORMANCE MEASURES

  • Growth in poor quality loans
  • “Adverse selection”
  • Thin/insufficient margins
  • Growth in poor quality loans
  • “Adverse selection”
  • Thin/insufficient margins
  • Contribution net of expected

losses

  • RAROC
  • EVA or SVA
  • Contribution net of expected

losses

  • RAROC
  • EVA or SVA

RISK-ADJUSTED PERFORMANCE MEASURES

  • Booking of low grade assets
  • nly if compensated with

higher margins

  • Focus on risk/reward ratios
  • Booking of low grade assets
  • nly if compensated with

higher margins

  • Focus on risk/reward ratios
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SLIDE 34

The focus is on management… not control

  • Avoid
  • Decrease
  • Limit
  • Avoid
  • Decrease
  • Limit

Risk Control

  • Absorb/reserve
  • Hedge/Transfer
  • Sell/share
  • Insure
  • Price for
  • Limit
  • Absorb/reserve
  • Hedge/Transfer
  • Sell/share
  • Insure
  • Price for
  • Limit

Risk Management

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SLIDE 35

Emphasis is on Quantity of risk and Quality of management

  • Loan Rating
  • VaR reporting
  • Mark to Market
  • Portfolios
  • Loan Rating
  • VaR reporting
  • Mark to Market
  • Portfolios

What risks and how much

  • Loan Rating
  • Value at Risk analysis
  • Risk self assessments
  • Operating risk analogs
  • Loan Rating
  • Value at Risk analysis
  • Risk self assessments
  • Operating risk analogs

What risks, how much and how well managed Historical Analysis Historical Analysis and Forward modeling

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SLIDE 36

Benefits of integrated risk management

  • Promotes and strengthens a consistent risk culture
  • Clear, consistent position on risk enhances market image
  • Supports the efficient use of financial and human

resources for maximum risk-adjusted returns

  • Facilitates the dissemination of multi-dimensional risk

knowledge and expertise to where it makes a difference

  • Provides corporate level overview of risks and risk trends

for strategic and business planning

  • Enables performance evaluation on a risk-adjusted basis
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SLIDE 37

Elements of integrated risk management

  • Common language
  • Consistent measurement and methodologies
  • Integrated processes
  • Clear roles and responsibilities
  • Excellent training and communications
  • Technology supported-MIS a key driver
  • Not bureaucratic—enabling, not controlling
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SLIDE 38

Risk management philosophy

  • Manage risks at source: Primary responsibility

for risk decisions are at the businesses

  • Within businesses, segregation of responsibility

for risk management and for customer profitability

  • Risk management is a culture issue:

volunteerism

  • Risk management policies and practices should

support business goals

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SLIDE 39

Ownership of risk is a key driver to assuring all risks are managed

“Every risk needs an owner”

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SLIDE 40

Risk management framework integrates several areas

Credit Risk Management Internal Audit Treasury Management ALM

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SLIDE 41

Management decisions are iterative and continuous

Set Policies and Objectives (including FTP rules) Gather External Information Develop and Assess Scenarios Collect and Analyze Internal data Set Liquidity Policy Set Interest rate position Set FX Exposure position

Set investment and earnings management guidelines

Execute

Interest Rates FX rates Economy Competition Business strategy & credit policy

Drives strategy and credit risk management Source: Booz-Allen & Hamilton

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SLIDE 42

Good risk policies address all identified risks

  • Assign responsibilities and duties
  • Define risk measures
  • Set risk limits
  • Specify how to handle exceptions to limits
  • Set times for review and revision
  • Set how and when the process should be

audited

  • Receive Board of Directors’ approval
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SLIDE 43

Critical success factors for good risk management

  • Executive level commitment and leadership
  • Education and communication
  • Clear roles and responsibilities
  • Risk management must support business

activities and goals—managing risks for rewards

  • Information-based decisions
  • Understandable measurements
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SLIDE 44

Risk management is an integrated process

Systems

  • Data extraction
  • Data transfer links
  • Data mapping
  • MIS support

Policies & Processes

  • Approval
  • Limits / Control
  • Reports
  • Disclosure

Risk Management Organization

  • Independence
  • Audit
  • Education
  • Performance Evaluation

Methodologies

  • Grading / Scoring
  • Calculators
  • Capital attribution
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SLIDE 45

RAROC drives BIS Pillar 1

RAROC = Profit Economic Capital Provisions _

Revenue less funding and

  • ther costs

Predictable losses are expensed The cushion needed to support Unexpected Losses

RAROC: Risk-adjusted return on capital

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SLIDE 46

RAROC allows management to make proper risk-reward trade-offs

Interest and fee income xxx Less cost-of-funds (xxx) Net interest income xxx Less “expected loss” (xxx) Less non interest expenses (xxx) Pretax income xxx Less tax (xxx) xxx Divided by Economic xxx Capital RAROC X% Interest and fee income xxx Less cost-of-funds (xxx) Net interest income xxx Less “expected loss” (xxx) Less non interest expenses (xxx) Pretax income xxx Less tax (xxx) xxx Divided by Economic xxx Capital RAROC X%

Applied to hurdle rate

Loan/Product/Branch

Pricing guidelines FTP Credit analysis Direct and allocated indirect costs Allocated capital

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SLIDE 47

Risk

Risk Free Rate

Return

Business Units, Sub-Portfolios, Transactions

  • Efficient

Frontier

RAROC

  • Capital assessments must be

consistent with how operate

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SLIDE 48

RAROC uses a bank’s own allocation RORAC uses BIS assigned weights The more the capital the more the perceived

risk of the asset….but more conservative and less risky the bank

The more the capital the higher the required

return from the asset

One of the most difficult aspects of RAROC is the assignment of EC

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SLIDE 49

Credit risk rating system provides RAROC input

Standardized Approach Internal Ratings Based Approach Foundation

Advanced

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SLIDE 50

The potential that a bank borrower or counterparty will fail to meet its obligations in accordance with agreed terms

“Principles for the Management of Credit Risk” - BIS 1999

“The risk that a borrower will not pay what we lent – in full and on time” Must also include all threats to value, in a probability / net present value sense; e.g. deterioration in quality throughout the life of the loan is a credit risk in itself

What is credit risk?

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SLIDE 51

The primary objective is to minimize the volatility

  • f earnings and capital (hence the risk as

perceived by investors) and at the same time earn a ROE to maintain the value of the common equity.

Credit risk affects both capital and earnings

Foregone Interest and provisions And mark-to-market losses Losses in economic capital

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SLIDE 52

Identify Measure Manage Monitor

And price appropriately!

Good credit risk management a competitive advantage

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SLIDE 53

Expert systems Credit scoring models Rating systems

  • CAMELS
  • Pass, OLEM, Substandard, Doubtful, Loss
  • Public bond ratings

Credit risk measurement takes different forms

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SLIDE 54

Final ratings are ultimately judgmental, but graders are provided with a “template” of quantitative benchmarks for each rating category Graders are provided a “scoresheet” which combines a set of objective characteristics with subjective factors in a predetermined manner Grades are derived purely mechanically, with no role for subjective inputs Grades are set judgmentally against a set

  • f qualitative

guidelines

Template

Credit rating methodologies are

  • n a continuum

Model Scoring Judgment

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SLIDE 55

Altman Z score is one of earliest credit models

R ATIO FO RM U LA WEIG H T FAC TO R WE IG H TED R ATIO Return on Total Assets Earnings Before Interest and Taxes

  • Total Assets
  • x. 3.3
  • 4 to +8.0

Sales to Total Assets Net Sales

  • Total Assets

x 0.999

  • 4 to +8.0

Equity to Debt M arket Value of Equity

  • Total Liabilities

x 0.6

  • 4 to +8.0

Working Capital to Total Assets Working Capital

  • Total Assets

x 1.2

  • 4 to +8.0

Retained Earnings to Total Assets Retained Earnings

  • Total Assets

x1.4

  • 4 to +8.0
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SLIDE 56

Credit analysis drives the credit risk assessment of all methods

Both the ability and the willingness to pay are key

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SLIDE 57

There are two basic elements

  • f credit risk

Standalone risks

  • Default probability
  • Loss given default
  • Migration risk

Portfolio risks

  • Default correlations
  • Exposure

Credit risk management means diversifying and transferring risk

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SLIDE 58

Industry sector Competitive position Financial strength Cash flow/ debt serv.

  • Mgmt. / organization

Standalone creditworthiness depends on many factors

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SLIDE 59

SAMPLE DATA COLLECTION

e x a m p l e s

Category

Industry Financial Condition ♦ Industry profile -- 3 years ◊ Size, growth ◊ Concentrations ◊ Cyclicality/seasonality ◊ Explanation of trends ♦ Industry outlook ♦ Profiles of key competitors (top two) ♦ Regulatory profile -- current, recent changes, expected changes ♦ Borrower’s strategy ♦ Key alliances: ◊ With government ◊ With private sector ◊ With other influential players ♦ Company financials -- 3 years ◊ Profit & loss statements, balance sheets ◊ Supplementary statements -- reconciliation of net worth, fixed assets\ ◊ Audited where possible ♦ Creditor facilities ◊ Banks ◊ Suppliers Data Required Data Sources ♦ Internal ◊ Files ◊ Research department ◊ Other managers familiar with industry ♦ Third parties ◊ Ministries ◊ Multilateral agencies -- World Bank, IADB, etc. ◊ Other government organizations ◊ Trade associations ◊ Other banks ◊ Other companies in industries ♦ External -- customer calls ♦ Business press ♦ Internal ◊ Files ◊ Other managers familiar with borrower ♦ Issuer ◊ In person calls ◊ Site visits amounts and condition

  • f facilities

Data drives the credit analysis

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SLIDE 60

Raw data Raw data Individual Scores Individual Scores Economic Interpretation Economic Interpretation Calibrated Rating (PD) Calibrated Rating (PD) Aggregation to

  • verall Score

Aggregation to

  • verall Score

Input Calculation Output

  • Financials
  • Assessment of

qualitative Factors

  • Ratios
  • Scale

comparable for all factors

  • Weights fixed

(e.g. linear algorithm)

  • Calibration

fixed May be different by segment (size, state -owned /private, industry, available information)

Quantitative modeling provides the basis of the analysis

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SLIDE 61

There are two major factors to consider…

What is the likelihood a borrower will default? Probability [%] If the borrower defaults, how much are we likely to lose? Amount [JOD or %]

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SLIDE 62

Three measures for credit risk

  • Standardized using external ratings for risk weights
  • IRB: Foundation and Advanced

IRB uses banks’ own rating systems with

required features

Provisions should equal expected loss where

EL = PD * LGD * EAD

Capital must be held for UL

BIS II has led to a new generation

  • f statistical rating models
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SLIDE 63

Probability of Default (PD) is based on historical experience

  • 4
  • 3
  • 2
  • 1

1 2 3 4 Standard Deviation

X = 2% Y = 4% X = 4% Y = 5%

X Corporate Loans Y Credit Cards

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SLIDE 64
  • S&P
  • Moody’s
  • Fitch
  • Dun & Bradstreet
  • Others

Databases of historical defaults are maintained by ECAIs

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SLIDE 65

Supervisors assign ratings to risk weights for standardized

S & P RATING MOODY’S EQUIVALENT DEFAULT PROBABILITY (SUBSEQUENT YEAR)

AAA Aaa 0.01% AA Aa3/A1 0.03% A As/A3 0.10% BBB Baa2 0.30% BB Ba1/Ba2 0.81% B Ba3/B1 2.21% CCC B2/B3 6.00% CC B3/Caa 11.68% C Caa/Ca 16.29%

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SLIDE 66

Hindsight is perfect….but how do we predict default?

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SLIDE 67

Data lets us generalize about a

similar population

How we can we classify individuals into broad risk bands to manage our actuarial risk?

?

Example: Life insurance company

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SLIDE 68

How do we discern the predictive risk variables?

Set hypothesis Examine experience Select variables Test predictability Test and Calibrate

  • Age
  • Male / female
  • Smoker / non-smoker
  • Obesity
  • Family history

Example: Life insurance company

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SLIDE 69

Analysis of the data

Risk factor: Obesity Set hypothesis Examine experience Select variables Test predictability Test and Calibrate

10 20 30 40 50 60 70 80 90 40 k 60 k 80 k 100 k 120 k 140 k 160 k 180 k

20 40 60 80 100 40 k 60 k 80 k 100 k 120 k 140 k 160 k 180 k

10 20 30 40 50 60 70 80 90 40 k 60 k 80 k 100 k 120 k 140 k 160 k 180 k
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SLIDE 70

Larger populations and more reliable data = more confident

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SLIDE 71

The most reliable are consumer credit scoring models

20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10

Example: Credit Cards Examples of predictive factors for credit cards

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SLIDE 72

Not surprisingly, such models can drive the whole credit process

20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10

  • Planning
  • Marketing
  • Approval
  • Pricing
  • Monitoring
  • Collections
  • Provisioning
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SLIDE 73

Design, integrity, maintenance, and validity of the model is the core

20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10 20 40 60 80 100 1 2 3 4 5 6 7 8 9 10

Backtesting Stress testing Validation

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SLIDE 74

Potential losses should be priced in our rates

Expected loss How much we expect to lose (probability) on a credit or group of credits Often abbreviated as “EL” – also known as “ROL” (risk of loss) May be expressed as a per cent or an absolute number

= ?

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SLIDE 75

Expected loss is a function of three variables

Expected loss Probability

  • f default

Loss given default Exposure at default

= x x

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SLIDE 76

Let’s calculate a simple example

Expected loss Probability

  • f default

Loss given default Exposure at default

= x x

1 0.01 2 0.03 3 0.05 4 0.25 5 0.70 6 1.50 7 6.00 8 20.0 9 50.0 10 100.0 Rating PD % 10 25 50 75 100 LGD % 100 EaD %

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SLIDE 77

Expected loss Probability

  • f default

Loss given default Exposure at default

= x x

In per cent…

.03 or 3% .06 .50 1.00

= x x

1 0.01 2 0.03 3 0.05 4 0.25 5 0.70 6 1.50 7 6.00 8 20.0 9 50.0 10 100.0 Rating PD % 10 25 50 75 100 LGD % 100 EaD %

So if the credit is JOD 7,000, EL for that credit is JOD 210 (3% x 7,000)

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SLIDE 78

3% .06 .50 1.00

… or in numbers

1 0.01 2 0.03 3 0.05 4 0.25 5 0.70 6 1.50 7 6.00 8 20.0 9 50.0 10 100.0 Rating PD % 10 25 50 75 100 LGD % 100 EaD %

JOD 210 .06 .50 JOD 7,000

= x x

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SLIDE 79

The standalone EL’s can be aggregated for the whole portfolio

Losses Probability

10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10

10 20 30 40 50 60 70 80 90 1 2 3 4 5 6 7 8 9 10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10

10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10

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SLIDE 80

Over time actual can be compared to expected losses

10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10 10 20 30 40 50 60 70 80 90 1 2 3 4 5 6 7 8 9 10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10 10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10 10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10 10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10 2 0 4 0 6 0 8 0 1 0 0 1 2 3 4 5 6 7 8 9

?

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SLIDE 81

EL are “predictable” – UL losses (i.e. volatility) represent true risk

Expected Loss (EL) Expected Loss (EL)

  • Anticipated average loss

rate

  • Foreseeable “cost”
  • Charged through

income statement

  • Anticipated average loss

rate

  • Foreseeable “cost”
  • Charged through

income statement

Unexpected Loss (UL) Unexpected Loss (UL)

  • Anticipated volatility of

loss rate

  • True “risk”
  • Captured through

assignment of capital

  • Anticipated volatility of

loss rate

  • True “risk”
  • Captured through

assignment of capital

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SLIDE 82

The greater the variance, the more capital required

Amount of Loss Probability

  • f Loss

Unexpected Loss (Standard Deviation)

Unexpected Loss Requires capital support - as a cushion

Mean “expected” Loss

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SLIDE 83

The amount of capital depends

  • n target debt rating

Required Capital Total “Economic” Capital = Reserves + Equity Uncovered Risk Mean “expected” Loss

AA AAA .003 .001 BBB A .03 .01

Solvency Standard Unexpected Loss ( 1 Standard Deviation)

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SLIDE 84

Credit Analysis and Structuring Probability

  • f Default

Expected Loss Loss Given Default Risk Rating: Borrower and Facility

Based on historical risk rating data A function of analysis and structuring Feedback process: annual review & experience

EL=PD x LGD x EAD

Based on analysis & identified comparative standards

Feedback loop

Exposure at Default

Credit analysis drives the PD but is

  • nly one component of risk
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SLIDE 85

Credit risk analysis is an evolving field

Quantitative modeling includes

structural and reduced form models

Credit risk management means

diversifying and transferring risk

Research continues to integrate new

asset classes and correlations

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SLIDE 86

The Control Environment is an important part of risk management

Control Environment

Management control of day-to- day activities including:

  • Policies and procedures
  • Segregation of duties
  • Authorities and approval limits
  • Checking procedures
  • Supervision of transactions and

recording

  • Budget controls

Internal Control

Independent review to ensure controls working as intended, risks are controlled and operational inefficiencies are identified during:

  • On-site reviews
  • Off-site reviews

Internal Audit

Enforces

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SLIDE 87

Operational risks are classified as either “event” or “business” risks

All non-credit and non-market risks

“Routine processes” Payments/Settlements Documentation IT, regulatory, legal, fraud Strategy and planning

Managed by organizational and other internal

controls

Segregation of duties and dual controls Internal audit scope, procedures, findings and

responses

Self-assessment process

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SLIDE 88

Communications is key!

“An effective internal control system requires

effective channels of communication to ensure that all staff fully understand and adhere to policies and procedures affecting their duties and responsibilities and that other relevant information is reaching the appropriate personnel.”

Bank for International Settlements, Framework for Internal Control Systems in Banking Organizations

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SLIDE 89

Internal audit is an important component

Third line of defense Business partner not adversary Separate from risk management oversight Responsible to ensure that controls and

limits are working

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SLIDE 90

Next steps

Individual interviews Diagnostic reviews Standardized risk rating system Individual Workshop ? Sarah (Sally) Hargrove

swhargrove@nc.rr.com swhargrove@yahoo.com Tel: 550 3069 Ext. 149