Topic 67Risk Monitoring and Performance Measurement
1.Overview:
⑴六大风险:
market risk,credit risk,settlement risk,operational risk and legal risk
⑵五大工具:
①professional standard
②quantitative tools
③preemptive actions
④internal control systems
⑤dedicated management teams
⑶control:
The 3 legs of financial accounting control:
①planning
②budgeting
③variance monitoring
2.Risk monitoring:
risk measures→risk planning→risk budgeting→risk monitoring:
⑴risk measures:
value at risk(VaR) | tracking error(TE) |
It is the maximum dollar earnings/loss potential over a given time period at a given level of statistical confidence | It is simply the standard deviation of excess returns such as the difference between the portfolio´s returns and the benchmark´s returns |
It is associated with any given asset class is based on the combination of risks associated with that asset class and risks associated with active management | It is used to describe the extent to which an investment manager is allowed latitude to differ from the index(active management) |
It is used to measure potential downside risk in standalone terms | TE is used to assess risk and return relative to a benchmark |
If asset´s returns are normally distributed,67% of all outcomes lie within the asset´s average returns±1 standard deviation | If excess returns are normally distributed,67% of all outcomes lie within the benchmarks returns±1 standard deviation |
⑵risk planning:
①objectives:
A.Setting expected return and risk targets.
B.Defining quantitative measures of success or failure.
C.Generalizing how risk capital will be utilized to meet the entry´s objectives.
D.Defining the difference between events that cause ordinary damage and serious damage.
E.Identifying mission critical resources inside and outside the entity and discussing what should be done in case those resources are jeopardized.
②requirement:
It requires the input and approval of the entity´s owners and its management team.
③guideposts:
The 5 guideposts in the risk plan:
A.The risk plan should set expected return and volatility goals,establish milepost using scenario analysis.
B.The risk plan should define points of success or failure,such as ROE and RORC.
C.The risk plan should paint a vision of how risk capital will be deployed to meet the organization´s objectives,explore the correlation among factors,have diversification or risk decomposition.
D.The risk plan should help to define the bright line between those events that are merely disappointing and those that inflict serious damage.
E.The risk plan should identify critical dependencies that exist inside and outside the organization,or how key dependencies behave in good and bad environments.
⑶risk budgeting:
①definition:
It quantifies the risk plan.
②objective:
To allocate risk capita to meet the corporate objectives and minimize derivatives from plan.
③process:
A.Setting the minimum acceptable levels such as setting levels of ROE and RORC.
B.Applying mean-variance optimization to determine the weights for each asset class.
C.Simulating the portfolio performance.
D.Applying sensitivity analysis in a sensitivity analysis context to consider changes in estimates of returns and covariance.
⑷risk monitoring:
①definition:
It is used to check for deviations from defined risk targets in order to ensure that risk capital is used in a manner consistent with the risk budget.
②roles:
A.It helps ensure that the organization is entering into transactions that are authorized and properly scaled.
B.It helps distinguish between events that are unusual and those that should have been anticipated.
C.It attempts to confirm that investment activities are consistent withe expectations:
a/ A forecasted level of TE is consistent with the target.
b/ Risk capital is allocated to the expected areas.
③functions:
A.It catches "rogue traders" whose activities may go undetected with simple periodic statements.
B.It is needed for passive portfolios because the risk characteristics of the benchmark can change.
C.It also determines why charges in risk have occurred.
3.Investment management for organization:
⑴risk consciousness:
①sources:
A.banks
B.boards of investment clients,senior management and plan sponsors
C.investors
②result:
Many organizations and asset managers have formed independent risk management units as a result of the heightened level of risk consciousness.
⑵risk management unit(RMU):
①context:
RMU is in the contexts of risk monitoring:
The RMU should ensure that all counterparties used to execute and settle trades meet credit policy criteria.
②objective:
objective of an independent risk management unit(RMU):
The RMU should not manage risk(It is the responsibility of the individual portfolio managers),but rather measure risk fro use by those with a vested interest in the process.
③functions:
A.Gathering,monitoring,analyzing,and distributing risk data.
B.Helping develop a disciplined process.
C.Setting and implementing the risk agenda.
D.Monitoring risk trends.
E.Acting as a convergence point of the firm.
F.Promoting enhanced risk awareness.
G.Developing risk measurement and performance attribution analytical tools.
H.Measuring portfolio´s potential tracking error.
I.Developing an inventory of quality risk data.
J.Promoting transparency of risk.
·特别注意!
·To ensure proper segregation of duties,it is crucial that the risk management function be independent and not report to senior management.
④examples:
examples of the RMU in action:
A.Is the forecasted tracing error consistent with the target?
B.Is the risk capital spent in the expected themes for each portfolio?
a/ purposes of risk decomposition:
△to ensure that there is no style drift
△to detect large concentration of risk
△to ensure that investment activities are consistent with expectations
b/ examples of risk decomposition:
△the range of acceptable active weights at the stock,industry,sector and country levels
△the range of acceptable marginal contributions to risk at the stock,industry,sector and country levels
C.Is the risk forecasting model behaving on predicted?
⑶quantifying illiquidity concerns:
①liquidity considerations:
Liquidity considerations are important:
A.Because a portfolio´s liquidity profile could change significantly in the midst of a volatile market environment or an economic downturn,for instance.
B.Therefore,measuring portfolio liquidity is a priority in stress testing.
②liquidity duration(LD):
A.definition:
It is the approximation of the number of days necessary to dispose of a portfolio´s holdings without a significant market impact.
B.formula:

4.Performance measurement:
⑴definition:
It looks at a portfolio manager´s actual results and compares them to relevant comparables such as benchmarks and peer groups.
⑵framework:
The framework of performance measurement is including:
①comparison of performance with expectations
②return attribution
③calculation of metrics such as Sharpe ratio or information ratio
④comparisons with benchmark portfolios and peer groups
⑶theory:
①characteristic:
Performance measurement might be thought of as a form of risk model validation.
②reasons:
The reasons must be known that support using multiple performance measurement tools:
A.returns over the relevant time period
B.risk incurred to achieve such returns
③methods:
How to improve the meaningfulness of performance measurement tools:
A.Performance tools are not a substitute for timely management intervention when there is an indication of abnormal behavior.
B.Performance tolls must be supplemented with:
a/ a clear articulation of management philosophy from each portfolio manager
b/ a routine position and style monitoring process designed to identify deviations from philosophy or process
⑷tools:
①tool#1:the green zone:
A.a green zone outcome:
Each outcome is as statistically expected.
B.a yellow zone outcome:
Each outcome is somewhat unusual.
C.a red zone outcome:
Each outcome is statistically improbable.
②tool#2:attribution of returns
③tool#3:the Sharpe ratios and information ratios:
A.strengths:
a/ Measure is relative to performance,identifying managers.
b/ Test whether the manager has generated sufficient excess returns to compensate for the risk assumed.
c/ The statistics can be applied both at the portfolio level as well as for individual industrial sectors and countries.
B.weakness:
a/ The data may not be available.
b/ They depend on whether the environment is friendly using achieved risk.
④tool#4:alpha vs. benchmark:
A.strengths:
a/ Whether skill is truly present or excess returns are happenstance.
b/ They distinguish between excess return due to leverage or skill.
c/ They are easy to calculate.
d/ They show if an element of the manager´s returns are derived from being overweight or underweight the market.
B.weakness:
There may not be a sufficient number of data.
⑤tool#5:alpha vs. peer group(capital-weighted average return):
A.strengths:
a/ Whether skill is truly present or excess returns are happenstance.
b/ They distinguish between excess return due to leverage or skill.
c/ They are easy to calculate.
B.weakness:
a/ There may not be a sufficient number of data.
b/ Returns of the peer group are biased due to the existence of survivorship bias.
c/ There is often a wide divergence in the amount of money under management among the peers.
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
Topic 48 Range of Practices and Issues in Economic Capital Framework
Topic 49 Capital Planning at Large Bank Holding Companies
Topic 50 Repurchase Agreements and Financing
Topic 51 Assessing the Quality of Risk Measures
Topic 52 Estimating Liquidity Risks
Topic 53 Liquidity and Leverage
Topic 54 The Failure Mechanics of Dealer Banks
Topic 56 Introduction of Basel Accord
Topic 58 Basel Ⅱ.5 and Fundamental Review of the Trading Book(FRTB)
D.Investment Risk
D.投资风险
Topic 62 Factors in Investment
Topic 63 The Low-Risk Anomaly and Alpha
Topic 65 Portfolio Risk:Analytical Methods
Topic 66 VaR and Risk Budgeting in Investment Management