Topic 55 Stress Testing Banks
1.Background:
⑴After the 2007 to 2009 financial crisis,it was clear that traditional risk measures such as regulatory capital ratios were insufficient.Supervisory stress-testing became an important risk-assessment tool at that point.
⑵The goal of stress testing is to assess how much capital and liquidity a financial institution needs to support its business activities.
2.Introduction:
⑴3 kinds of capital and liquidity:
①the capital/liquidity you have
②the capital/liquidity you need to support business activities
③the capital/liquidity the regulators think you need
⑵A successful macro-prudential/stress testing program,has at least 2 components:
①a credible assessment of the capital strength of the tested institutions to size the capital "hole"
②a credible way of filling that "hole"
⑶features of stress testing:
①The 2009 supervisory capital assessment program(SCAP):
It is tested with 3 variables which is including growth in GDP,unemployment(tied to credit card loans),and the house price index(HPI).
②pre-SCAP vs. post-SCAP:
pre-SCAP | post-SCAP |
mostly single shock | broad macro scenario and market stress |
product or business unit level | comprehensive,firm-wide |
static | dynamic and path dependent |
not usually tied to capital adequacy | explicit post-stress common equity threshold |
losses only | loss,revenues and costs |
3.Designing the stress scenario:
⑴The real difficulty in designing stress is:
in specifying a coherent joint outcome of all the relevant risk factors
⑵The challenges in designing stress test are:
①One of the challenges is coherence.
②Not everything goes bad at once.
③Hundreds of thousands of positions in the trading book must be mapped to thousands of risk factors.
④The sensitivities and scenarios must be extreme,but must also be reasonable and possible.
⑤Problems are inherently multi-factor,making it more difficult to design a coherent stress test.
4.Executing on the stress scenario:
⑴the challenges in modeling losses & revenues:
①One concern is how to translate the macro-risk factors(GDP,unemployment,HPI) employed in stress testing into micro(bank specific) outcomes related to revenues and losses.
②Modeling revenues over a stress test horizon period is much less developed than modeling losses.
⑵the challenges in modeling the balance sheet:
①Determining post-stress capital adequacy requires modeling both the income statement("flows") and the balance sheet("stocks") over the stress test horizon(T+1 years for a T-year stress test),typically 2 years.
②The challenging is the capital change due to dividend payments change,buying back stocks or issuing stock options.
5.Stress test comparisons:
⑴SCAP(2009):
All banks with $100 billion or more in assets of 2008 year end were included:
①methodologies:
A.Tested simple scenarios with 3 dimensions,GDP growth,unemployment,and the house price index(HPI).
B.Historical experience was used for the market risk scenario:
e.g.the financial crisis such as a period of "flight to safety",the failure of Lehman,and higher risk premia.
C.A "one-size-fits-all" approach
②disclosure:
A.Disclosure was a significant feature:
It leads to the transparency and allowed investors and the market the ability to check the severity of the stress tests and the outcomes of the stress at the individual bank level.
B.First to provide bank level projected losses and asset/product level loss rates.
③findings:
A.19 SCAP banks were required to raise $75 billion within 6 months.
B.The undercapitalized banks actually raised $77 billion of tier 1 common equity and none of the banks were forced to use the Treasury´s Capital Assistance Program finds.
⑵comprehensive capital analysis and review(CCAR)(2011):
①methodologies:
In recognition of "one-size-fits-all" stress testing,CCAR asked banks to submit results from their own baseline and stress scenarios.
②disclosure:
Only macro scenario results were published.(not bank level results)
⑶CCAR(2012):
①methodologies:
Banks were again asked to submit their own baseline and stress test results.
②disclosure:
Similar in detail to SCAP 2009 bank level and asset/product level loss rates disclosed.
⑷European Banking Authority(EBA) Irish(2011):
①methodologies:
It is similar to EBA Europe(2011).(time horizon is 2 years)
②disclosure:
A.comparison of bank and third party projected losses
B.comparison of exposures by asset class and geography
C.Data is electronic and downloadable.
D.The disclosures were needed to increase trust in the European banking system.
③findings:
A.After passing the 2010 stress tests,2011 stress tests revealed Irish banks needed €2.4 billion.
B.Greater disclosure in 2011 resulted in tightening credit spreads on Irish sovereign and individual bank debt.
⑸EBA Europe(2011):
Formerly the Committee of European Bank Supervisors(CEBS),90 European banks were stress tested:
①methodologies:
A.There are specified 8 macro-factors(GDP growth,inflation,unemployment,commercial and residential real estate price indices,short and long-term government rates,and stock prices) for each 21 countries and specified over 70 risk factors for the trading book.
B.It also imposed sovereign haircuts across 7 maturity buckets.
②disclosure:
A.bank level projected losses
B.comparisons of exposures by asset class and geography
C.Data is electronic and downloadable.
D.The disclosures were needed to increase trust in the European banking system.
③findings:
8 banks were required to raise €2.5 billion.
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