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Page 1. Daniel HERLEMONT. Financial Risk Management. Regulatory Capital Standards with VaR ... The Basel Accord requires capital to be at least 8% of.
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Financial Risk Management

Regulatory Capital Standards with VaR Following P. Jorion, Value at Risk, McGraw-Hill Chapter 3

Daniel HERLEMONT

Why regulation?

Externalities Deposit insurance Moral hazard – less incentives to control risk Basel Accord 1988 measure of solvency = Cooke ratio

Daniel HERLEMONT

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Cooke ratio The Basel Accord requires capital to be at least 8% of the total risk-weighted assets of the bank. Capital definition is broad: Tier 1. Stocks, reserves (retained earnings) (≥ ≥50%) Tier 2. Perpetual securities, undisclosed reserves, subordinated debt >5 years.

Daniel HERLEMONT

Weights 0%

Asset Type

Cash Claims on OECD central government local currency claims on central banks

20%

Cash to be received OECD banks and regulated securities firms non-OECD banks below 1 year multilateral development banks foreign OECD public sector entities

50%

residential mortgage loans

Daniel HERLEMONT

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Weights Asset Type 100%

Claims on private sector (corp. debt, equity…) Claims on non-OECD banks above 1 year Real estate Plant and equipment

At national discretion 0-50%

Claims on domestic OECD public-sector entities

OECD (Organization for Economic Cooperation and Development): Austria, Belgium, Canada, Denmark, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, The Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, Turkey, UK, Japan, Finland, Australia, New Zealand, Mexico, Czech Republic, Hungary, Korea and Poland.

Daniel HERLEMONT

Credit Risk Charge

  CRC = 8% ⋅  ∑ wi ⋅ asseti   i 

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Activity Restrictions

Restrictions on large risks (over 10% of capital) must be reported over 25% prohibited total of large risks can not exceed 8*capital

Daniel HERLEMONT

Criticism of 1988 Approach

Regulatory arbitrage (securitization) Credit derivatives Inadequate differentiation of credit risks Non-recognition of term structure effect Non-recognition of risk mitigation Non-recognition of diversification Non-recognition of market risk Daniel HERLEMONT

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Market Risk Amendment 1996

Trading book – financial instruments that intentionally held for short-term resale and are typically marked-to-market Banking book – other instruments, like loans. TRC = CRC + MRC Tier 3 capital: short-term subordinated debt (must be less than 2.5*Tier1) Daniel HERLEMONT

The Standardized Model

Maturity bands Partial netting Duration weights No diversification across risks

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The Internal Models Approach

Quantitative parameters for VaR 10 business days or 2 weeks 99% confidence level at least one year of historical data updated at least quarterly

Treatment of correlations – can be recognized

Daniel HERLEMONT

 k 60  MRCt = Max ∑ VaRt −i , VaRt −1  + SRCt  60 i =1  1 day can be scaled by square root of 10 Typically average times k is used. k initially is set to 3, but later it can be increased Specific Risk Charge SRC is added.

Daniel HERLEMONT

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Basel Rules MRC

Market Risk Charge = MRC SRC - specific risk charge, k ≥3.

 k 60  MRCt = Max ∑ VaRt −i , VaRt −1  + SRCt  60 i =1  VaRt = VaRt (1d , 99%) × 10 Daniel HERLEMONT

Backtesting

Verification of Risk Management models. Comparison if the model’s forecast VaR with the actual outcome - P&L.

Exception occurs when actual loss exceeds VaR. After exception - explanation and action.

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Stress

Designed to estimate potential losses in abnormal markets. Extreme events Fat tails Central questions: How much we can lose in a certain scenario? What event could cause a big loss?

Daniel HERLEMONT

Further development

Basel II Better treatment of credit risk Operational risk

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Non banks

Securities Firms Insurance companies Pension funds SEC reporting 7A in 10K

Daniel HERLEMONT

FRM-99, Question 89

What is the correct interpretation of a $3 overnight VaR figure with 99% confidence level? A. expect to lose at most $3 in 1 out of next 100 days B. expect to lose at least $3 in 95 out of next 100 days C. expect to lose at least $3 in 1 out of next 100 days D. expect to lose at most $6 in 2 out of next 100 days

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Properties of Risk Measure

Monotonicity (XR(Y)) Translation invariance R(X+k) = R(X)-k Homogeneity R(aX) = a R(X) (liquidity??) Subadditivity R(X+Y) ≤ R(X) + R(Y) the last property is violated by VaR!

Daniel HERLEMONT

No subadditivity of VaR

Bond has a face value of $100,000, during the target period there is a probability of 0.75% that there will be a default (loss of $100,000). Note that VaR99% = 0 in this case. What is VaR99% of a position consisting of 2 independent bonds?

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FRM-98, Question 22

Consider arbitrary portfolios A and B and their combined portfolio C. Which of the following relationships always holds for VaRs of A, B, and C? A. VaRA+ VaRB = VaRC B. VaRA+ VaRB ≥ VaRC C. VaRA+ VaRB ≤ VaRC D. None of the above

Daniel HERLEMONT

Confidence level

low confidence leads to an imprecise result. For example 99.99% and 10 business days will require history of 100*100*10 = 100,000 days in order to have only 1 point.

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Time horizon

long time horizon can lead to an imprecise result. 1% - 10 days means that we will see such a loss approximately once in 100*10 = 3 years. 5% and 1 day horizon means once in a month. Various subportfolios may require various horizons.

Daniel HERLEMONT

Time horizon

When the distribution is stable one can translate VaR over different time periods.

VaR (T days ) = VaR (1 day ) T This formula is valid (in particular) for iid normally distributed returns.

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FRM-97, Question 7

To convert VaR from a one day holding period to a ten day holding period the VaR number is generally multiplied by: A. 2.33 B. 3.16 C. 7.25 D. 10

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