Risk Management Review May 1, 2007 Outline for todays discussion - - PowerPoint PPT Presentation
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
So how much capital does a financial institution need? “Enough…but not too much.”
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
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?
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
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
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
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
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
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
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
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
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
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
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
A Risk Management facilitates informed decision-making
Identify Measure Manage Monitor
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)
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
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
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
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
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
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
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
Ownership of risk is a key driver to assuring all risks are managed
“Every risk needs an owner”
Risk management framework integrates several areas
Credit Risk Management Internal Audit Treasury Management ALM
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
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
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
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
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
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
Risk
Risk Free Rate
Return
Business Units, Sub-Portfolios, Transactions
- Efficient
Frontier
RAROC
- Capital assessments must be
consistent with how operate
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
Credit risk rating system provides RAROC input
Standardized Approach Internal Ratings Based Approach Foundation
Advanced
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?
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
Identify Measure Manage Monitor
And price appropriately!
Good credit risk management a competitive advantage
Expert systems Credit scoring models Rating systems
- CAMELS
- Pass, OLEM, Substandard, Doubtful, Loss
- Public bond ratings
Credit risk measurement takes different forms
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
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
Credit analysis drives the credit risk assessment of all methods
Both the ability and the willingness to pay are key
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
Industry sector Competitive position Financial strength Cash flow/ debt serv.
- Mgmt. / organization
Standalone creditworthiness depends on many factors
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
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
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 %]
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
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
- S&P
- Moody’s
- Fitch
- Dun & Bradstreet
- Others
Databases of historical defaults are maintained by ECAIs
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%
Hindsight is perfect….but how do we predict default?
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
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
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 kLarger populations and more reliable data = more confident
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
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
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
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
= ?
Expected loss is a function of three variables
Expected loss Probability
- f default
Loss given default Exposure at default
= x x
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 %
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)
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
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
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?
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
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
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)
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
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
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
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
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
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
Next steps
Individual interviews Diagnostic reviews Standardized risk rating system Individual Workshop ? Sarah (Sally) Hargrove