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大浩浩的笔记课堂——FRM考试学习笔记126

  • 2026-02-16 13:31:56
大浩浩的笔记课堂——FRM考试学习笔记126

Topic 55 Stress Testing Banks

1.Background:

After 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.

The goal of stress testing is to assess how much capital and liquidity a financial institution needs to support its business activities.

2.Introduction:

3 kinds of capital and liquidity:

the capital/liquidity you have

the capital/liquidity you need to support business activities

the capital/liquidity the regulators think you need

A successful macro-prudential/stress testing program,has at least 2 components:

a credible assessment of the capital strength of the tested institutions to size the capital "hole"

a credible way of filling that "hole"

features of stress testing:

The 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).

pre-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:

One of the challenges is coherence.

Not everything goes bad at once.

Hundreds of thousands of positions in the trading book must be mapped to thousands of risk factors.

The sensitivities and scenarios must be extreme,but must also be reasonable and possible.

Problems 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:

One 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.

Modeling revenues over a stress test horizon period is much less developed than modeling losses.

⑵the challenges in modeling the balance sheet:

Determining 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.

The challenging is the capital change due to dividend payments change,buying back stocks or issuing stock options.

5.Stress test comparisons:

SCAP(2009):

All banks with $100 billion or more in assets of 2008 year end were included:

methodologies:

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

disclosure:

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.

findings:

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.

comprehensive capital analysis and review(CCAR)(2011):

methodologies:

In recognition of "one-size-fits-all" stress testing,CCAR asked banks to submit results from their own baseline and stress scenarios.

disclosure:

Only macro scenario results were published.(not bank level results)

CCAR(2012):

methodologies:

Banks were again asked to submit their own baseline and stress test results.

disclosure:

Similar in detail to SCAP 2009 bank level and asset/product level loss rates disclosed.

European Banking Authority(EBA) Irish(2011):

methodologies:

It is similar to EBA Europe(2011).(time horizon is 2 years)

disclosure:

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.

findings:

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.

EBA Europe(2011):

Formerly the Committee of European Bank Supervisors(CEBS),90 European banks were stress tested:

methodologies:

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.

disclosure:

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.

findings:

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

【写在开篇】

【正文内容】

FRM一级考试

FRM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 4 Backtesting VAR

Topic 5 VAR Mapping

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

Topic 17 Volatility Smiles

B.Credit Risk

B.信用风险

Topic 18 The Credit Decision

Topic 19 The Credit Analyst

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

Topic24Portfolio Credit Risk

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 29 Collateral

Topic 30 Central Counterparties

Topic 31Credit Exposure

Topic 32 Default Probability,Credit Spreads and Credit Derivatives

Topic 33 Credit Value Adjustment(CVA)

Topic 34 Wrong-Way Risk

Topic 35 Credit Scoring and Retail Credit Risk Management

Topic 36 The Credit Transfer Markets and Their Implications
Topic 37 An Introduction to Securitization

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 43 External Loss Data

Topic 44 Capital Modeling

Topic 45 Validating Rating Models

Topic 46 Model Risk

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


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  1. CONNECT:[ UseTime:0.000385s ] mysql:host=127.0.0.1;port=3306;dbname=no_67808;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.000730s ]
  3. SELECT * FROM `fenlei` WHERE `fid` = 0 [ RunTime:0.000292s ]
  4. SELECT * FROM `fenlei` WHERE `fid` = 63 [ RunTime:0.012509s ]
  5. SHOW FULL COLUMNS FROM `set` [ RunTime:0.000520s ]
  6. SELECT * FROM `set` [ RunTime:0.000608s ]
  7. SHOW FULL COLUMNS FROM `article` [ RunTime:0.000600s ]
  8. SELECT * FROM `article` WHERE `id` = 468525 LIMIT 1 [ RunTime:0.002364s ]
  9. UPDATE `article` SET `lasttime` = 1771226414 WHERE `id` = 468525 [ RunTime:0.011015s ]
  10. SELECT * FROM `fenlei` WHERE `id` = 65 LIMIT 1 [ RunTime:0.000320s ]
  11. SELECT * FROM `article` WHERE `id` < 468525 ORDER BY `id` DESC LIMIT 1 [ RunTime:0.003808s ]
  12. SELECT * FROM `article` WHERE `id` > 468525 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.010815s ]
  13. SELECT * FROM `article` WHERE `id` < 468525 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.041636s ]
  14. SELECT * FROM `article` WHERE `id` < 468525 ORDER BY `id` DESC LIMIT 10,10 [ RunTime:0.014888s ]
  15. SELECT * FROM `article` WHERE `id` < 468525 ORDER BY `id` DESC LIMIT 20,10 [ RunTime:0.022881s ]
0.214645s