frm lecture 3 op risk
TRANSCRIPT
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Bahria University, Islamabad
Omar Safdar, CPAMBA Fall Semester
FRM - MBA (Fall Semester),Instructor: Omar Safdar
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DEFINITION:
x the risk of direct or indirect loss resulting from inadequate or failed internal
processes, people and systems or from external events
` MAIN FACTORS OF OR:
People
Systems
Processes
External Events
FRM - MBA (Fall Semester),Instructor: Omar Safdar
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
Table 2: Risk types comparison
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
` OR MEASUREMENT TECHNIQUES
` Basel II sets three operational measurement methodologies for calculating operational risk capital
charge in a continuum of increasing sophistication and risk sensitivity.
` 1.Basic Indicator Approach
` 2.Standardized Approach
The Standardized Approach (TSA)
Alternative Standardized Approach (ASA)
` 3.Advanced Measurement Approach (AMA)
Internal Measurement Approach (IMA)
Loss Distribution Approach (LDA)
Scorecard Approaches (SCA)
`
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
` Basic IndicatorApproach:
A simple method for calculating Operational Risk Capital Requirement (ORR).
This may be adopted easily by the banks or financial institutions immediately: There are no
qualitative quantifying criteria
It includes both internal and external factors for Operational risk
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
` StandardizedApproachMethod:
This method is seen as the probable entry level for large banks, subject to regulators being
satisfied that certain qualitative and quantitative standards are met.
No need to collect operational loss data
BUSINESS LINES Beta Factors
1. Corporate Finance 18 %
2. Trading and Sales 18 %
3. Retail Banking 12 %
4. Commercial Banking 15 %
5. Agency & Custody Services 18 %
6. Settlement & Payment services 15 %
7. Asset Management 12 %
8. Retail Brokerage 12 %
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
` StandardizedApproachMethod:
Events Risk Types:
1. Internal Fraud
2. External Fraud
3. Employment practices & workplace Safety
4. Clients, Products & Business practices
5. Damage to physical Assets
6. Business Disruption & System Failures
7. Execution , Delivery & Process management
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
` Advanced MeasurementApproaches (AMA)
Banks may use their internal operational risk measurement systems to calculate capital
charges with the approval of their supervisory authority.
Approval will require complying with qualitative & quantitative criteria set by the Basel
Committee plus additional criteria established by national authorities
AMAs should be subject to a period of initial monitoring before it can be used for regulatory
purposes
Thismethod includes :
- InternalMeasurementApproach (IMA)
- Loss Distribution Approach (LDA)
- Scorecard Approaches (SCA)
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` Frequency & Severity
` Low Frequency Low Severity
` High Frequency High Severity
` High Frequency Low Severity
` Low Frequency High Severity
FRM - MBA (Fall Semester),Instructor: Omar Safdar
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
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` Loss Distribution Approach
Frequency & Severity are statistically independent
Both modeled separately
Aggregate loss distribution developed
Concept of OpVar applied
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` OpVaR
` Minimum potential loss that an entity could incur
Within a particular business line
Due to a given operational risk event
During time horizon of one year
With confidence level of 99.9
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Economic
CapitalReg.Capital
Mitigation
Unexpected
Losses
Expected Losses
Mean
VaR
99.9%
Tail Events
Aggregate Losses
Probability
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` Extreme valuetheory (EVT)x different distribution for modeling tail and body of a data sample
blockmaximamethod (BMM)
x The BMM divides data into independent blocks of the same size and considers the highestobservation from such a block
peakoverthreshold method (POTM)
x The POTM uses all observations that exceed certain high threshold level. These models are morefrequently used in practice for OR exposure measurement.
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` Extreme valuetheory (EVT)
FRM - MBA (Fall Semester),Instructor: Omar Safdar
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
following table.
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` Lossseverity distributions
` Parametric distributions
g&h distribution
x provides consistent capital estimates for scenario analysis method
Weibull distribution
lognormal distribution
gamma distribution
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` ScenarioAnalysis
Supportthe KRIs withsubjectivescenarioanalysis :
` Risk workshops can assist
` Use judgment to assess the level of risk
` Good for new projects, and areas with low volume where KRIs and LDA are less effective.
Examplesinclude: Corporate Finance / AdvisoryProject Financeand otherspecialistareas
AssessthelevelofRiskon aconsequence / likelihood scale
` Consider collecting data on various frequency basis not just one basis (risk impact usually
inversely linked to frequency).
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` Key Risk Indicators
Inherent Risk / Exposureindicators
` Relatively easy to collect from systems
` Do NOT measure the precise risk` Indicate the level of risk/exposure taken
` Very useful in high volume areas as a preliminary risk indicator
Total trades, total volume, total value,
days outstanding, No# of unreconciled items,
system efficiency level,
staff positions vacant, % temporary/contract staff
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` Risk & Control SelfAssessment
Business Unitsselfassesslevelofrisk
` Works best when risk areas are well known
` Identify risks first (enterprise wide review of risks)
` Develop CSA worksheet
x Describe core risks and key controls in each area
x Request businesses to assess each risk carefully
x Risk and control are both assessed separately
x Businesses often over-estimate control strength
` Standardize the answers into common groups (categorization common risks,
specific incidents)` Validate the Key Risk Indicators that are used
` Risk specialists review the answers (accept/reject)
` Audit the CSA responses from time to time
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FRM - MBA (Fall Semester),Instructor: Omar Safdar
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` Regulatory capital is the amount of capital necessary to provide adequate
coverage of banks exposures to financial risks as defined in the capital adequacy
rules set by the Basel II. A one-year minimum regulatory capital is calculated as 8%
of risk-weighted assets.3 Empirical studies show that operational risk regulatory
capital, in general, constitutes 10%-25% of overall capital adequacy requirements.
` economic capital is a buffer against future, unexpected losses brought about
by credit, market, and operational risks inherent in the business of lending
money4 or alternatively economic capital might be defined as the amount necessary
to be in the financial business.
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` The focus should be on modeling both regulatory and economic capital for OR
because this concept is to be used for the Advanced Measurement Approach (AMA)
as it should cover all unexpected losses even the extreme events with the Value at
Risk (VaR) higher than 99.9%.
` Regulatory capital covers expected losses and unexpected losses only to a certain
confidence level and it does not consider the extreme events5 like economic
capital does.
`
FRM - MBA (Fall Semester),Instructor: Omar Safdar
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FRM - MBA (Fall Semester),Instructor: Omar Safdar