Topic 48
Range of Practices and Issues in Economic Capital Framework
1.Executive summary:
⑴use of economic capital and governance
⑵risk measures
⑶risk aggregation
⑷validation
⑸dependency modeling in credit risk
⑹counterparty modelling in credit risk
⑺interest rate risk in the banking book
⑻BIS recommendations
2.Use of economic capital and governance:
⑴definition of economic capital:
Economic capital is often parameterized as an amount of capital that a bank needs to absorb unexpected losses because expected losses are accounted for in the pricing of a bank´sproducts and loan loss provisioning.
⑵business-level use:
①credit portfolio management:
A.purpose:
It is to protect against risk deterioration.
B.measurement:
Economic capital is a measurement of the level of concentration.
②risk-based pricing:
A.purpose:
It is to maximize the bank´sprofitability.
B.example:
price=the cost of funding+the expected loss+allocated economic capital+extra-return required
③customer and product profitability analysis,customer segmentation and portfolio optimization:
It is to determine unprofitable or only slightly profitable customers.
④management incentives:
It is to motivate managers to participate in the technique aspects of the economic capital allocation process.
⑶enterprise-wide or group-level use:
①relative performance measurement such as RAROC and SVA
②capital budgeting,strategic planning,target setting and internal reporting
③acquisition/divestiture analysis
④external communication
⑤capital adequacy assessment
⑷governance(monthly or quarterly):
Best practices for the governance of an economic capital framework cover:
①senior management commitment involvement and experience in the economic capital process
②the business unit involved in the economic capital process and its level of knowledge
③the timing or frequency of economic capital measurements and disclosure
④polices,procedures and approvals relating to economic capital model development,validation,on-going maintenance and ownership
⑸Key concerns related to governance and the application of economic capital measures involve:
①senior management commitment to the economic capital process
②role of stress testing
③standard for absolute and relative measures of risk:
critical issues:
A.comprehensive capture of risks
B.diversification assumptions
C.assumptions about management actions:
a/ actions that increase capital supply
b/ actions that reduce capital demand
④Economic capital should not be the sole determinant of required
capital.(look to peers)
⑤definition of available capital
⑥transparency and meaningfulness of economic capital measures
3.Risk measures:
⑴describable characteristics of risk measures:
①intuitive
②stable
③easy to compute
④easy to understand
⑤coherent(monotonicity,positive homogeneity,translation invariance,subadditivity)
⑥simple and meaningful risk decomposition
⑵the properties of a coherent risk measures:
①monotonicity
②subadditivity
③positive homogeneity
④translation invariance
⑶types of risk measures:
standard deviation | VaR | expected shortfall | spectral and distorted risk measures | |
intuitive | sufficiently intuitive | yes 1.It is the most commonly used measure 2.It is using for capital allocation,absolute risk calculation purpose | sufficiently intuitive | no (实践中使用较少) |
stable | no,depends on assumptions about loss distribution | no,depends on assumptions about loss distribution | depends on loss distribution | depends on loss distribution |
easy to compute | yes | sufficiently easy | sufficiently easy | sufficiently easy |
easy to understand | yes | yes | sufficiently | not immediately understandable |
coherent | violates monotonicity | violates subadditivity | yes | yes |
simple and meaningful risk decomposition | simple,but not very meaningful | not simple, might induce distorted choice | relatively simple and meaningful | relatively simple and meaningful |
·特别注意!
·The factors causing the VaR variability:
*lack of uniformity in the use of confidence intervals and time horizons
*length of the time series
*ways of estimating moments
*mapping techniques
*delay factors
*number of simulations
·特别注意!
·A multitude of challenges exist within the economic capital framework.
⑷calculation of risk measures:
①confidence level
②time horizon:
A.market risk→short time horizon(days or weeks)
B.credit risk and operational risk→one-year time horizon(or longer)
③aggregation or decomposition
⑸supervisory concerns relating to risk measures
4.Risk aggregation:
⑴aggregation framework:
①the 2 dimensions:
A.the economic nature of the risk:
market risk,credit risk,operational risk
B.the organizational structure of the bank:
along business lines or legal entities
②typical framework classifies risks:
A.market risk:
Portfolio value changes due to changes in rates and prices such as IRRBB,stem from-repricing risk,yield curve risk,basis risk.
B.credit risk:
Portfolio value changes due to shifts in the likelihood that an obligor may fail to deliver cash flows.
C.operational risk:
The risk of loss associated with human or system failures,fraud,natural disaster and litigation.
D.business risk:
The risk to the firm´sfuture earnings,dividend distribution and equity price.
③range of practices in the choice of risk types
⑵aggregation methodologies:
①the unit of account:
A.risk metric
B.confidence level:
e.g.long-tailed risk distributions→using higher confidence levels
C.time horizon:
Using a common(usually 1 year) horizon
②inter-risk diversification
③typically used aggregation methodologies:
A.summation:
a/ definition:
Adding together the individual capital components.
b/ advantages:
△simplicity
△considered to be conservative
c/ disadvantages:
△Do not discriminate across risk types.
△Impose equal weighting assumption.
△Do not capture nonlinearity.
B.constant diversification:
a/ definition:
It is similar to summation,but subtracts fixed percentage from overall figure.
b/ advantages:
△simplicity
△recognition of diversification effects
c/ disadvantages:
△The fixed diversification affect is not sensitive to underlying interactions between components.
△Do not capture nonlinearity.
C.variance-covariance:
a/ definition:
It is weighted sum of components or basis of bilateral correlation between risks.
b/ advantages:
△summarizes the interdependencies across risk types
△better approximation of analytical method
△relatively simple and intuitive
△provides a flexible framework for recognizing diversification benefits
c/ disadvantages:
△Estimates of inter-risk correlation is difficult to obtain.
△Do not capture nonlinearity.
D.copulas:
a/ definition:
Combining marginal distributions through copula functions.
b/ advantages:
△more flexible for nonlinearity
△allows for nonlinearities
△higher order dependency
c/ disadvantages:
△Parameterization is very difficult to validate.
△Building a joint distribution is very difficult.
E.full modelling/simulation:
a/ definition:
Simulating the impact of common risk drivers on all risk components and construct the joint distribution of losses.
b/ advantages:
△theoretically the most appealing method
△potentially the most accurate method intuitive
△intuitive
c/ disadvantages:
△Practically it is the most demanding in terms of inputs.
△It is very high depending on IT.
△It is time consuming.
△It can provide false sense of accuracy.
⑶range of practices in the choice of aggregation methodology:
①more than 60% banks→variance-covariance approach
②less than 20% banks→full modeling/simulation approach
⑷supervisory concerns relating to risk aggregation:
①Meaningful aggregation of risk necessarily involves compromises and judgement to augment quantitative methods.
②Many supervisors are sceptical as to the validity of the size of diversification benefit estimates and do not accept them for supervisory use.
③A possible drawback of the more sophisticated methodologies is more of a behavioral nature.
5.Validation of internal economic capital models:
⑴definition of validation:
All the processes that provide evidence-based assessment about a model´s fitness for purpose.
⑵What validation process are in use:
①qualitative processes(A→B→C→D→E→F):
A.use test
B.qualitative review
C.systems implementation
D.management oversight
E.data quality checks
F.examination of assumption(sensitivity testing)
②quantitative processes(A→B→C→D→E→F):
A.validation of inputs and parameters
B.model replication
C.benchmarking and hypothetical portfolio testing:
It may provide little comfort that the model actually reflects "reality".
D.back testing
E.profit and loss attribution
F.stress testing:
a/ stressing of the model
b/ comparison of model outputs to stress losses
⑶supervisory covers relating to validation
6.Issues of economic capital model:
⑴dependency modeling in credit risk:
①A particularly important and difficult aspect is the modeling of the dependency.
②The main concern centers on the accuracy and stability of correlation estimates,particularly during times of stress.
⑵counterparty modelling in credit risk:
①Need to consider:
using additional methods to help cover all exposures
②Need to be overcome:
wrong-way risk,market risk-related challenges,credit risk-related challenges,operational risk-related challenges,differences in treatment between margined and non-margined counterparties,and a range of aggregation challenges
⑶interest rate risk in the banking book:
①the main challenges:
There is a need to model indeterminate cash flows on both the asset and liability side due to embedded optionality in many banking book items.
②Most banks use simulation approaches for determining their economic capital.
③Others:
optionality in the banking book,bank´s pricing behavior,the choice of stress scenarios
7.BIS recommendations:
⑴use of economic capital models in assessing capital adequacy
⑵senior management
⑶transparency and integration into decision-making
⑷risk identification
⑸risk measures
⑹risk aggregation
⑺validation
⑻dependency modeling in credit risk
⑼counterparty credit risk
⑽interest rate risk in the banking book
大浩浩的笔记课堂之FRM考试学习笔记合集
【正文内容】
FRM二级考试
A.Market Risk
A.市场风险
Topic 1 Estimating Market Risk Measures:An Introduction and Overview
Topic 2 Non-Parametric Approaches
Topic 3 Parametric Approaches:Extreme Value
Topic 6 Messages from the Academic Literature on Risk Management for the Trading Book
Topic 7 Some Correlation Basics:Properties,Motivation and Terminology
Topic 8 Empirical Properties of Correlation:How Do Correlation Behave in the Real World
Topic 9 Statistical Correlation Models—Can We Apply Them to Finance
Topic 10 Financial Correlation Modeling—Copula Correlations
Topic 11 Empirical Approaches to Risk Metrics and Hedging
Topic 12 The Science of Term Structure Models
Topic 13 The Shape of the Term Structure
Topic 14 The Art of Term Structure Models:Drift
Topic 15 The Art of Term Structure Models:Volatility and Distribution
Topic 16 Overnight Index Swap(OIS) Discounting
B.Credit Risk
B.信用风险
Topic 20 Default Risk:Quantitative Methodologies
Topic 21 Credit Risks and Credit Derivatives
Topic 22 Credit and Counterparty Risk
Topic 23 Spread Risk and Default Intensity Models
Topic 25 Structured Credit Risk
Topic 26 Defining Counterparty Credit Risk
Topic 27 The Evolution of Stress Testing Counterparty Exposures
Topic 28 Netting,Compression,Resets,and Termination Features
Topic 32 Default Probability,Credit Spreads and Credit Derivatives
Topic 33 Credit Value Adjustment(CVA)
Topic 35 Credit Scoring and Retail Credit Risk Management
Topic 38 Understanding the Securitization of Subprime Mortgage Credit
C.Operational Risk
C.操作风险
Topic 39 Principles for the Sound Management of Operational Risk
Topic 40 Enterprise Risk Management:Theory and Practice
Topic 41 Observations on Developments in Risk Appetite Frameworks and IT Infrastructure
Topic 42 Operational Risk Data and Governance
Topic 45 Validating Rating Models
Topic 47 Risk Capital Attribution and Risk-Adjusted Performance Measurement