MRM FRM-GARP Oct-2001 Zvi Wiener 02-588-3049 http://pluto.mscc.huji.ac.il/ ~mswiener/zvi.html Market Risk Management
Dec 19, 2015
MRM FRM-GARP Oct-2001
Zvi Wiener
02-588-3049http://pluto.mscc.huji.ac.il/~mswiener/zvi.html
Market Risk Management
MRM FRM-GARP Oct-2001
Introduction to Market Risk Measurement
Following Jorion 2001, Chapter 11
Financial Risk Manager Handbook
Zvi Wiener - MRM slide 3http://www.tfii.org
Old ways to measure risk
• notional amounts
• sensitivity measures (duration, Greeks)
• scenarios
• ALM, DFA
assume linearity
do not describe probability
Zvi Wiener - MRM slide 4http://www.tfii.org
1938 Bonds duration
1952 Markowitz mean-variance
1963 Sharpe’s CAPM
1966 Multiple risk-factors
1973 Black-Scholes option pricing
1983 RAROC, risk adjusted return
1986 Limits on exposure by duration
1988 Risk-weighted assets for banks;
exposure limits by Greeks
1993 VaR endorsed by G-30
1994 Risk Metrics
1997 CreditMetrics, CreditRisk+
Zvi Wiener - MRM slide 5http://www.tfii.org
How much can we lose?
Everything
correct, but useless answer.
How much can we lose realistically?
Zvi Wiener - MRM slide 6http://www.tfii.org
What is the current Risk?
duration, convexity
volatility
delta, gamma, vega
rating
target zone
• Bonds
• Stocks
• Options
• Credit
• Forex• Total ?
Zvi Wiener - MRM slide 7http://www.tfii.org
Standard Approach
Zvi Wiener - MRM slide 8http://www.tfii.org
Modern Approach
Financial Institution
Zvi Wiener - MRM slide 9http://www.tfii.org
Definition
VaR is defined as the predicted worst-case
loss at a specific confidence level (e.g. 99%)
over a certain period of time.
Zvi Wiener - MRM slide 10http://www.tfii.org
Definition (Jorion)
VaR is the maximum loss over a target
horizon such that there is a low, prespecified
probability that the actual loss will be larger.
Zvi Wiener - MRM slide 11http://www.tfii.org
-3 -2 -1 1 2 3
0.2
0.4
0.6
0.8
1
Profit/Loss
VaR
1% VaR1%
Zvi Wiener - MRM slide 12http://www.tfii.org
Meaning of VaR
A portfolio manager has a daily VaR equal $1M at 99% confidence level.
This means that there is only one chance in 100 that a daily loss bigger than $1M occurs,
1%VaR
under normal market conditions.
Zvi Wiener - MRM slide 13http://www.tfii.org
Returns
year
1% of worst cases
Zvi Wiener - MRM slide 14http://www.tfii.org
Main Ideas
• A few well known risk factors
• Historical data + economic views
• Diversification effects
• Testability
• Easy to communicate
Zvi Wiener - MRM slide 15http://www.tfii.org
History of VaR
• 80’s - major US banks - proprietary
• 93 G-30 recommendations
• 94 - RiskMetrics by J.P.Morgan
• 98 - Basel
• SEC, FSA, ISDA, pension funds, dealers
• Widely used and misused!
Zvi Wiener - MRM slide 16http://www.tfii.org
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
Zvi Wiener - MRM slide 17http://www.tfii.org
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
Zvi Wiener - MRM slide 18http://www.tfii.org
VaR caveats
• VaR does not describe the worst loss
• VaR does not describe losses in the left tail
• VaR is measured with some error
Zvi Wiener - MRM slide 19http://www.tfii.org
Other Measures of Risk
• The entire distribution
• The expected left tail loss
• The standard deviation
• The semi-standard deviation
Zvi Wiener - MRM slide 20http://www.tfii.org
-3 -2 -1 1 2 3
0.2
0.4
0.6
0.8
1
Profit/Loss
Risk Measures
Zvi Wiener - MRM slide 21http://www.tfii.org
Properties of Risk Measure
• Monotonicity (X<Y, R(X)>R(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!
Zvi Wiener - MRM slide 22http://www.tfii.org
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?
Zvi Wiener - MRM slide 23http://www.tfii.org
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
Zvi Wiener - MRM slide 24http://www.tfii.org
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
Zvi Wiener - MRM slide 25http://www.tfii.org
Confidence levellow 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.
Zvi Wiener - MRM slide 26http://www.tfii.org
Time horizonlong 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.
Zvi Wiener - MRM slide 27http://www.tfii.org
Time horizon
When the distribution is stable one can
translate VaR over different time periods.
TdayVaRdaysTVaR )1()(
This formula is valid (in particular) for iid
normally distributed returns.
Zvi Wiener - MRM slide 28http://www.tfii.org
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
Zvi Wiener - MRM slide 29http://www.tfii.org
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
Zvi Wiener - MRM slide 30http://www.tfii.org
Basel Rules
• horizon of 10 business days
• 99% confidence interval
• an observation period of at least a year of
historical data, updated once a quarter
Zvi Wiener - MRM slide 31http://www.tfii.org
Basel Rules MRC
Market Risk Charge = MRC
SRC - specific risk charge, k 3.
tti
itt SRCVaRVaRk
MaxMRC
1
60
1
,60
10%)99,1( dVaRVaR tt
Zvi Wiener - MRM slide 32http://www.tfii.org
FRM-97, Question 16
Which of the following quantitative standards is NOT required by the Amendment to the Capital Accord to Incorporate Market Risk?
A. Minimum holding period of 10 days
B. 99% one-tailed confidence interval
C. Minimum historical observations of two years
D. Update the data sets at least quarterly
Zvi Wiener - MRM slide 33http://www.tfii.org
VaR systemRisk factors
Historical data
Model
Distribution ofrisk factors
VaRmethod
Portfolio
positions
Mapping
Exposures
VaR
Zvi Wiener - MRM slide 34http://www.tfii.org
FRM-97, Question 23
The standard VaR calculation for extension to multiple periods also assumes that positions are fixed. If risk management enforces loss limits, the true VaR will be:
A. the same
B. greater than calculated
C. less then calculated
D. unable to determine
Zvi Wiener - MRM slide 35http://www.tfii.org
FRM-97, Question 23
The standard VaR calculation for extension to multiple periods also assumes that positions are fixed. If risk management enforces loss limits, the true VaR will be:
A. the same
B. greater than calculated
C. less then calculated
D. unable to determine
Zvi Wiener - MRM slide 36http://www.tfii.org
FRM-97, Question 9
A trading desk has limits only in outright foreign exchange and outright interest rate risk. Which of the following products can not be traded within the current structure?
A. Vanilla IR swaps, bonds and IR futures
B. IR futures, vanilla and callable IR swaps
C. Repos and bonds
D. FX swaps, back-to-back exotic FX options
Zvi Wiener - MRM slide 37http://www.tfii.org
FRM-97, Question 9
A trading desk has limits only in outright foreign exchange and outright interest rate risk. Which of the following products can not be traded within the current structure?
A. Vanilla IR swaps, bonds and IR futures
B. IR futures, vanilla and callable IR swaps
C. Repos and bonds
D. FX swaps, back-to-back exotic FX options
No limits!
Zvi Wiener - MRM slide 38http://www.tfii.org
Stress-testing
• scenario analysis
• stressing models, volatilities and
correlations
• developing policy responses
Zvi Wiener - MRM slide 39http://www.tfii.org
Scenario Analysis
• Moving key variables one at a time
• Using historical scenarios
• Creating prospective scenarios
The goal is to identify areas of potential vulnerability.
Zvi Wiener - MRM slide 40http://www.tfii.org
FRM-97, Question 4
The use of scenario analysis allows one to:
A. assess the behavior of portfolios under large moves
B. research market shocks which occurred in the past
C. analyze the distribution of historical P&L
D. perform effective back-testing
Zvi Wiener - MRM slide 41http://www.tfii.org
FRM-98, Question 20
VaR measure should be supplemented by portfolio stress-testing because:A. VaR measures indicate that the minimum is VaR, they do not indicate the actual lossB. stress testing provides a precise maximum loss levelC. VaR measures are correct only 95% of timeD. stress testing scenarios incorporate reasonably probable events.
Zvi Wiener - MRM slide 42http://www.tfii.org
FRM-00, Question 105
VaR analysis should be complemented by stress-testing because stress-testing:A. Provides a maximum loss in dollars.B. Summarizes the expected loss over a target horizon within a minimum confidence interval.C. Assesses the behavior of portfolio at a 99% confidence level.D. Identifies losses that go beyond the normal losses measured by VaR.
MRM FRM-GARP Oct-2001
Identification of Risk Factors
Following Jorion 2001, Chapter 12
Financial Risk Manager Handbook
Zvi Wiener - MRM slide 44http://www.tfii.org
Absolute and Relative Risk
• Absolute risk - measured in dollar terms
• Relative risk - measured relative to
benchmark index and is often called tracking
error.
Zvi Wiener - MRM slide 45http://www.tfii.org
Directional Risk
Directional risk involves exposures to the direction of movements in major market variables.
beta for exposure to stock market
duration for IR exposure
delta for exposure of options to undelying
Zvi Wiener - MRM slide 46http://www.tfii.org
Non-directional Risk
Non-linear exposures, volatility exposures, etc.
residual risk in equity portfolios
convexity in interest rates
gamma - second order effects in options
vega or volatility risk in options
Zvi Wiener - MRM slide 47http://www.tfii.org
Market versus Credit Risk
Market risk is related to changes in prices,
rates, etc.
Credit risk is related to defaults.
Many assets have both types - bonds, swaps,
options.
Zvi Wiener - MRM slide 48http://www.tfii.org
Risk Interaction
You buy 1M GBP at 1.5 $/GBP, settlement in
two days. We will deliver $1.5M in exchange
for 1M GBP.
Market risk
Credit risk
Settlement risk (Herstatt risk)
Operational risk
Zvi Wiener - MRM slide 49http://www.tfii.org
Exposure and Uncertainty
Losses can occur due to a combination of
A. exposure (choice variable)
B. movement of risk factor (external variable)
yPDP *)(
Dollar duration
Zvi Wiener - MRM slide 50http://www.tfii.org
Exposure and Uncertainty
Market loss =
Exposure * Adverse movement in risk factor
iMiii RR
Zvi Wiener - MRM slide 51http://www.tfii.org
Specific Risk
iiMii PRPP
Market exposure Specific risk
Specific risk - risk due to issuer
specific price movements
iiMii PRPP 2222
Zvi Wiener - MRM slide 52http://www.tfii.org
FRM-97, Question 16
The risk of a stock or bond which is NOT correlated with the market (and thus can be diversified) is known as:A. interest rate risk.B. FX risk.C. model risk.D. specific risk.
Zvi Wiener - MRM slide 53http://www.tfii.org
• Continuous process - diffusion
• Discontinuities
• Jumps in prices, interest rates
• Price impact and liquidity
• market closure
• discontinuity in payoff:• binary options
• loans
Zvi Wiener - MRM slide 54http://www.tfii.org
Emerging Markets
Emerging stock market - definition by IFC
(1981) International Finance Corporation.
Stock markets located in developing countries
(countries with GDP per capita less than
$8,625 in 1993).
Zvi Wiener - MRM slide 55http://www.tfii.org
Liquidity Risk
Difficult to measure.
Very unstable.
Market depth can be used as an approximation.
Liquidity risk consists of both asset liquidity
and funding liquidity!
Zvi Wiener - MRM slide 56http://www.tfii.org
Funding Liquidity
Risk of not meeting payment obligations.
Cash flow risk!
Liquidity needs can be met by• using cash
• selling assets
• borrowing
Zvi Wiener - MRM slide 57http://www.tfii.org
Highly liquid assets
• tightness - difference between quoted mid market price and transaction price.
• depth - volume of trade that does not affect prices.
• resiliency - speed at which price fluctuations disappear.
Zvi Wiener - MRM slide 58http://www.tfii.org
Flight to quality
Shift in demand from low grade towards high grade securities.
Low grade market becomes illiquid with depressed prices.
Spread between government and corporate issues increases.
Zvi Wiener - MRM slide 59http://www.tfii.org
On-the-run
• recently issued
• most active
• very liquid
• after a new issue appears they become off-the-run
• liquidity premium can be compensated by repos/reverse repos
Zvi Wiener - MRM slide 60http://www.tfii.org
FRM-98, Question 7
Which of the following products has the least liquidity?
A. US on-the-run Treasuries
B. US off-the-run Treasuries
C. Floating rate notes
D. High grade corporate bonds
Zvi Wiener - MRM slide 61http://www.tfii.org
FRM-98, Question 7
Which of the following products has the least liquidity?
A. US on-the-run Treasuries
B. US off-the-run Treasuries
C. Floating rate notes
D. High grade corporate bonds
Zvi Wiener - MRM slide 62http://www.tfii.org
FRM-97, Question 54
“Illiquid” describes an instrument which
A. does not trade in an active market
B. does not trade on any exchange
C. can not be easily hedged
D. is an over-the-counter (OTC) product
Zvi Wiener - MRM slide 63http://www.tfii.org
FRM-97, Question 54
“Illiquid” describes an instrument which
A. does not trade in an active market
B. does not trade on any exchange
C. can not be easily hedged
D. is an over-the-counter (OTC) product
Zvi Wiener - MRM slide 64http://www.tfii.org
FRM-98, Question 6
A finance company is interested in managing its balance sheet liquidity risk. The most productive means of accomplishing this is by:
A. purchasing market securities
B. hedging the exposure with Eurodollar futures
C. diversifying its sources of funding
D. setting up a reserve
Zvi Wiener - MRM slide 65http://www.tfii.org
FRM-98, Question 6
A finance company is interested in managing its balance sheet liquidity risk. The most productive means of accomplishing this is by:
A. purchasing market securities
B. hedging the exposure with Eurodollar futures
C. diversifying its sources of funding
D. setting up a reserve
Zvi Wiener - MRM slide 66http://www.tfii.org
FRM-00, Question 74In a market crash the following is usually true?
I. Fixed income portfolios hedged with short Treasuries and futures lose less than those hedged with IR swaps given equivalent duration.
II. Bid offer spreads widen due to less liquidity.
III. The spreads between off the run bonds and benchmark issues widen.
A. I, II & III C. I & III
B. II & III D. None of the above
Zvi Wiener - MRM slide 67http://www.tfii.org
FRM-00, Question 74In a market crash the following is usually true?
I. Fixed income portfolios hedged with short Treasuries and futures lose less than those hedged with IR swaps given equivalent duration.
II. Bid offer spreads widen due to less liquidity.
III. The spreads between off the run bonds and benchmark issues widen.
A. I, II & III C. I & III
B. II & III D. None of the above
MRM FRM-GARP Oct-2001
Sources of Risk
Following Jorion 2001, Chapter 13
Financial Risk Manager Handbook
Zvi Wiener - MRM slide 69http://www.tfii.org
Currency Risk
• free movements of currency
• devaluation of a fixed or pegged currency
• regime change (Israel, Europe)
Zvi Wiener - MRM slide 70http://www.tfii.org
Currency VolatilityEnd 99 End 96
Argentina 0.35 0.4Australia 7.6 8.5Canada 5.1 3.6Switzerland 10 10Denmark 9.8 7.8Britain 6.5 9.1Hong Kong 0.3 0.3Indonesia 24 1.6Japan 11 6.6Korea 6.9 4.5
Zvi Wiener - MRM slide 71http://www.tfii.org
Currency VolatilityEnd 99 End 96
Mexico 7.5 7Malaysia 0.1 1.6Norway 7.6 7.6New Zealand 13.4 7.9Philippines 5.5 0.6Sweden 8.5 6.4Singapore 3.8 1.8Thailand 9.7 1.2Taiwan 1.8 0.9Euro 9.8 8.3S. Africa 4.2 8.4
Zvi Wiener - MRM slide 72http://www.tfii.org
FRM-97, Question 10
Which currency pair would you expect to have the lowest volatility?
A. USD/DEM
B. USD/CAD
C. USD/JPY
D. USD/ITL
Zvi Wiener - MRM slide 73http://www.tfii.org
FRM-97, Question 10
Which currency pair would you expect to have the lowest volatility?
A. USD/DEM
B. USD/CAD
C. USD/JPY
D. USD/ITL
Zvi Wiener - MRM slide 74http://www.tfii.org
FRM-97, Question 14
What is the implied correlation between JPY/DEM and DEM/USD when given the following volatilities for foreign exchange rates?
JPY/USD 8%, JPY/DEM 10%, DEM/USD 6%
A. 60%
B. 30%
C. -30%
D. -60%
Zvi Wiener - MRM slide 75http://www.tfii.org
Cross Rate volatilityJPY/USD = x JPY/DEM = y DEM/USD = z
z
xy zyx lnlnln
)(ln)(ln2)(ln)(ln)(ln lnln222 zyzyx zy
06.01.0206.01.008.0 222
6.0012.0
0072.0
1.006.02
0064.00036.001.0
yzx
Zvi Wiener - MRM slide 76http://www.tfii.org
Fixed Income Risk
Arises from potential movements in the level and volatility of bond yields.
Factors affecting yields• inflationary expectations
• term spread
• higher volatility of the low end of TS
Zvi Wiener - MRM slide 77http://www.tfii.org
Volatilities of IR/bond pricesPrice volatility in % End 99 End 96Euro 30d 0.22 0.05Euro 180d 0.30 0.19Euro 360d 0.52 0.58Swap 2Y 1.57 1.57Swap 5Y 4.23 4.70Swap 10Y 8.47 9.82Zero 2Y 1.55 1.64Zero 5Y 4.07 4.67Zero 10Y 7.76 9.31Zero 30Y 20.75 23.53
Zvi Wiener - MRM slide 78http://www.tfii.org
Duration approximation
What duration makes bond as volatile as FX?
What duration makes bond as volatile as stocks?
A 10 year bond has yearly price volatility of 8% which is similar to major FX.
30-year bonds have volatility similar to equities (20%).
)(* yDP
P
Zvi Wiener - MRM slide 79http://www.tfii.org
Models of IR
Normal model (y) is normally distributed.
Lognormal model (y/y) is normally distributed.
Note that:
y
yyy )(
Zvi Wiener - MRM slide 80http://www.tfii.org
Time adjustment
Square root of time adjustment is more questionable for bond prices than for other assets
• there is a strong evidence of mean reversion
• bond prices converge approaching maturity (bridge effect) - strong for short bonds, weak for long.
Zvi Wiener - MRM slide 81http://www.tfii.org
Volatilities of yieldsYield volatility in %, 99 (y/y) (y) Euro 30d 45 2.5Euro 180d 10 0.62Euro 360d 9 0.57Swap 2Y 12.5 0.86Swap 5Y 13 0.92Swap 10Y 12.5 0.91Zero 2Y 13.4 0.84Zero 5Y 13.9 0.89Zero 10Y 13.1 0.85Zero 30Y 11.3 0.74
Zvi Wiener - MRM slide 82http://www.tfii.org
FRM-99, Question 86For computing the market risk of a US T-bond portfolio it is easiest to measure:A. yield volatility, because yields have positive skewness.B. price volatility, because bond prices are positively correlated.C. yield volatility for bonds sold at a discount and price volatility for bonds sold at a premium.D. yield volatility because it remains more constant over time than price volatility, which must approach zero at maturity.
Zvi Wiener - MRM slide 83http://www.tfii.org
FRM-99, Question 86For computing the market risk of a US T-bond portfolio it is easiest to measure:A. yield volatility, because yields have positive skewness.B. price volatility, because bond prices are positively correlated.C. yield volatility for bonds sold at a discount and price volatility for bonds sold at a premium.D. yield volatility because it remains more constant over time than price volatility, which must approach zero at maturity.
Zvi Wiener - MRM slide 84http://www.tfii.org
FRM-99, Question 80You have position of $20M in the 6.375% Aug-27 US T-bond. Calculate daily VaR at 95% assume that there are 250 business days in a year.Price 98 8/32 Accrued 1.43%Yield 6.509% Duration 13.133Modified Dur. 12.719 Yield volatility 12%A. $291,400B. $203,080C. $206,036D. $206,698
Zvi Wiener - MRM slide 85http://www.tfii.org
FRM-99, Question 80
Value of the position 936.19$100
143.1
32
89820$
Daily yield volatility
000494.0250
1)(
y
yyy annual
)(645.1* yPDVaR
055,206$000494.0645.1936.19$719.12 MVaR
Zvi Wiener - MRM slide 86http://www.tfii.org
Correlations
Eurodeposit block
zero-coupon Treasury block
very high correlations within each block and much lower across blocks.
Zvi Wiener - MRM slide 87http://www.tfii.org
Principal component analysis
• level risk factor 94% of changes
• slope risk factor (twist) 4% of changes
• curvature (bend or butterfly)
See book by Golub and Tilman.
Zvi Wiener - MRM slide 88http://www.tfii.org
FRM-00, Question 96
Which statement about historic US Treasuries yield curves is TRUE?
Zvi Wiener - MRM slide 89http://www.tfii.org
FRM-00, Question 96A. Changes in the long-term yield tend to be larger than in short-term yield.B. Changes in the long-term yield tend to be approximately the same as in short-term yield.C. The same size yield change in both long-term and short-term rates tends to produce a larger price change in short-term instruments when all securities are traded near par.D. The largest part of total return variability of spot rates is due to parallel changes with a smaller portion due to slope changes and the residual due to curvature changes.
Zvi Wiener - MRM slide 90http://www.tfii.org
FRM-00, Question 96A. Changes in the long-term yield tend to be larger than in short-term yield.B. Changes in the long-term yield tend to be approximately the same as in short-term yield.C. The same size yield change in both long-term and short-term rates tends to produce a larger price change in short-term instruments when all securities are traded near par.D. The largest part of total return variability of spot rates is due to parallel changes with a smaller portion due to slope changes and the residual due to curvature changes.
Zvi Wiener - MRM slide 91http://www.tfii.org
FRM-97, Question 42What is the relationship between yield on the current inflation-proof bond issued by the US Treasury and a standard Treasury bond with similar terms?A. The yields should be about the same.B. The yield on the inflation protected bond should be approximately the yield on treasury minus the real interest.C. The yield on the inflation protected bond should be approximately the yield on treasury plus the real interest.D. None of the above.
Zvi Wiener - MRM slide 92http://www.tfii.org
• Credit Spread Risk
• Prepayment Risk (MBS and CMO)• seasoning
• current level of interest rates
• burnout (previous path)
• economic activity
• seasonal patterns
• OAS = option adjusted spread = spread over equivalent Treasury minus the cost of the option component.
Zvi Wiener - MRM slide 93http://www.tfii.org
FRM-99, Question 71You held mortgage interest only (IO) strips backed by Fannie Mae 7 percent coupon. You want to hedge this by shorting Treasury interest strips off the 10-year on-the-run. The curve steepens as 1 month rate drops, while the 6 months to 10 year rates remain stable. What will be the effect on the value of your portfolio?A. Both IO and the hedge appreciate in value.B. Almost no change in both (may be a small appreciation).C. Not enough information to find changes in both.D. The IO will depreciate, the hedge will appreciate.
Zvi Wiener - MRM slide 94http://www.tfii.org
FRM-99, Question 71You held mortgage interest only (IO) strips backed by Fannie Mae 7 percent coupon. You want to hedge this by shorting Treasury interest strips off the 10-year on-the-run. The curve steepens as 1 month rate drops, while the 6 months to 10 year rates remain stable. What will be the effect on the value of your portfolio?A. Both IO and the hedge appreciate in value.B. Almost no change in both (may be a small appreciation).C. Not enough information to find changes in both.D. The IO will depreciate, the hedge will appreciate.
Zvi Wiener - MRM slide 95http://www.tfii.org
FRM-99, Question 73A fund manager attempting to beat his LIBOR based funding costs, holds pools of adjustable rate mortgages and is considering various strategies to lower the risk. Which of the following strategies will NOT lower the risk?A. Enter a total rate of return swap swapping the ARMs for LIBOR plus a spread.B. Short US government bondsC. Sell caps based on the projected rate of mortgage paydown.D. All of the above.
Zvi Wiener - MRM slide 96http://www.tfii.org
FRM-99, Question 73A fund manager attempting to beat his LIBOR based funding costs, holds pools of adjustable rate mortgages and is considering various strategies to lower the risk. Which of the following strategies will NOT lower the risk?A. Enter a total rate of return swap swapping the ARMs for LIBOR plus a spread.B. Short US government bonds.C. Sell caps based on the projected rate of mortgage paydown.D. All of the above.
He should buy caps, not sell!
Zvi Wiener - MRM slide 97http://www.tfii.org
Fixed income portfolio risk
• Yield curve component (government)
• Credit spread (of the class of similar rating)
• Specific spread
Zvi Wiener - MRM slide 98http://www.tfii.org
Equity risk
• Market risk (beta based relative to an index)
• Specific risk
Zvi Wiener - MRM slide 99http://www.tfii.org
FRM-97, Question 43Which of the following statements about SP500 is true?I. The index is calculated using market prices as weights.II. The implied volatilities of options of the same maturity on the index are different.III. The stocks used in calculating the index remain the same for each year.IV. The SP500 represents only the 500 largest US corporations.A. II only. B. I and II.C. II and III. D. III and IV only.
Zvi Wiener - MRM slide 100http://www.tfii.org
FRM-97, Question 43Which of the following statements about SP500 is true?I. The index is calculated using market prices as weights.II. The implied volatilities of options of the same maturity on the index are different.III. The stocks used in calculating the index remain the same for each year.IV. The SP500 represents only the 500 largest US corporations.A. II only. B. I and II.C. II and III. D. III and IV only.
values
Zvi Wiener - MRM slide 101http://www.tfii.org
Forwards and Futures
The forward or futures price on a stock.
e-rt the present value in the base currency.
e-yt the cost of carry (dividend rate).
For a discrete dividend (individual stock) we can write the right hand side as St- D, where D is the PV of the dividend.
ytt
rtt eSeF
Zvi Wiener - MRM slide 102http://www.tfii.org
FRM-97, Question 44A trader runs a cash and future arbitrage book on the SP500 index. Which of the following are the major risk factors?I. Interest rateII. Foreign exchangeIII. Equity priceIV. Dividend assumption riskA. I and II only.B. I and III only.C. I, III, and IV only.D. I, II, III, and IV.
Zvi Wiener - MRM slide 103http://www.tfii.org
FRM-97, Question 44A trader runs a cash and future arbitrage book on the SP500 index. Which of the following are the major risk factors?I. Interest rateII. Foreign exchangeIII. Equity priceIV. Dividend assumption riskA. I and II only.B. I and III only.C. I, III, and IV only.D. I, II, III, and IV.
Zvi Wiener - MRM slide 104http://www.tfii.org
In an equilibrium the following holds (Sharpe)
iMiii RR
)(
)(),(,2
M
iMi
M
Mii R
RRRCov
fMifi RRERRE
CAPM
Zvi Wiener - MRM slide 105http://www.tfii.org
iKiKiii yyR 11
APTArbitrage Pricing Theory
Zvi Wiener - MRM slide 106http://www.tfii.org
FRM-98, Question 62In comparing CAPM and APT, which of the following advantages does APT have over CAPM?I. APT makes less restrictive assumptions about investor preferences toward risk and return.II. APT makes no assumption about the distribution of security returns.III. APT does not rely on the identification of the true market portfolio, and so the theory is potentially testable.A. I only. B. II and III only.C. I, and III only. D. I, II, and III.
Zvi Wiener - MRM slide 107http://www.tfii.org
FRM-98, Question 62In comparing CAPM and APT, which of the following advantages does APT have over CAPM?I. APT makes less restrictive assumptions about investor preferences toward risk and return.II. APT makes no assumption about the distribution of security returns.III. APT does not rely on the identification of the true market portfolio, and so the theory is potentially testable.A. I only. B. II and III only.C. I, and III only. D. I, II, and III.
Zvi Wiener - MRM slide 108http://www.tfii.org
Commodity RiskBase metal - aluminum, copper, nickel, zinc.
Precious metals - gold, silver, platinum.
Energy products - natural gas, heating oil, unleaded gasoline, crude oil.
Metals have 12-25% yearly volatility.
Energy products have 30-100% yearly volatility (much less storable).
Long forward prices are less volatile then short forward prices.
Zvi Wiener - MRM slide 109http://www.tfii.org
FRM-97, Question 12
Which of the following products should have the highest expected volatility?
A. Crude oil
B. Gold
C. Japanese Treasury Bills
D. DEM/CHF
Zvi Wiener - MRM slide 110http://www.tfii.org
FRM-97, Question 12
Which of the following products should have the highest expected volatility?
A. Crude oil
B. Gold
C. Japanese Treasury Bills
D. DEM/CHF
Zvi Wiener - MRM slide 111http://www.tfii.org
FRM-97, Question 23Identify the major risks of being short $50M of gold two weeks forward and being long $50M of gold one year forward.I. Spot liquidity squeeze.II. Spot risk.III. Gold lease rate risk.IV. USD interest rate risk.A. II only. B. I, II, and III only.C. I, III, and IV only. D. I, II, III, and IV.
Zvi Wiener - MRM slide 112http://www.tfii.org
FRM-97, Question 23Identify the major risks of being short $50M of gold two weeks forward and being long $50M of gold one year forward.I. Spot liquidity squeeze.II. Spot risk.III. Gold lease rate risk.IV. USD interest rate risk.A. II only. B. I, II, and III only.C. I, III, and IV only. D. I, II, III, and IV.
Spot risk is eliminatedby offsetting positions
MRM FRM-GARP Oct-2001
Hedging Linear Risk
Following Jorion 2001, Chapter 14
Financial Risk Manager Handbook
Zvi Wiener - MRM slide 114http://www.tfii.org
Hedging
Taking positions that lower the risk profile of
the portfolio.
• Static hedging
• Dynamic hedging
Zvi Wiener - MRM slide 115http://www.tfii.org
Unit Hedging with CurrenciesA US exporter will receive Y125M in 7 months.
The perfect hedge is to enter a 7-months forward contract.
Such a contract is OTC and illiquid.
Instead one can use traded futures.
CME lists yen contract with face value Y12.5M and 9 months to maturity.
Sell 10 contracts and revert in 7 months.
Zvi Wiener - MRM slide 116http://www.tfii.org
Market data 0 7m P&L
time to maturity 9 2
US interest rate 6% 6%
Yen interest rate 5% 2%
Spot Y/$ 125.00 150.00
Futures Y/$ 124.07 149.00
667,166$125
1
150
1125
MY
621,168$07.124
1
149
15.1210
MY
Zvi Wiener - MRM slide 117http://www.tfii.org
Stacked hedge - to use a longer horizon and
to revert the position at maturity.
Strip hedge - rolling over short hedge.
Zvi Wiener - MRM slide 118http://www.tfii.org
Basis Risk
Basis risk arises when the characteristics of
the futures contract differ from those of the
underlying.
For example quality of agricultural product,
types of oil, Cheapest to Deliver bond, etc.
Basis = Spot - Future
Zvi Wiener - MRM slide 119http://www.tfii.org
Cross hedging
Hedging with a correlated (but different) asset.
In order to hedge an exposure to Norwegian
Krone one can use Euro futures.
Hedging a portfolio of stocks with index
future.
Zvi Wiener - MRM slide 120http://www.tfii.org
FRM-00, Question 78What feature of cash and futures prices tend to make hedging possible?A. They always move together in the same direction and by the same amount.B. They move in opposite direction by the same amount.C. They tend to move together generally in the same direction and by the same amount.D. They move in the same direction by different amount.
Zvi Wiener - MRM slide 121http://www.tfii.org
FRM-00, Question 78What feature of cash and futures prices tend to make hedging possible?A. They always move together in the same direction and by the same amount.B. They move in opposite direction by the same amount.C. They tend to move together generally in the same direction and by the same amount.D. They move in the same direction by different amount.
Zvi Wiener - MRM slide 122http://www.tfii.org
FRM-00, Question 17Which statement is MOST correct?A. A portfolio of stocks can be fully hedged by purchasing a stock index futures contract.B. Speculators play an important role in the futures market by providing the liquidity that makes hedging possible and assuming the risk that hedgers are trying to eliminate.C. Someone generally using futures contract for hedging does not bear the basis risk. D. Cross hedging involves an additional source of basis risk because the asset being hedged is exactly the same as the asset underlying the futures.
Zvi Wiener - MRM slide 123http://www.tfii.org
FRM-00, Question 17Which statement is MOST correct?A. A portfolio of stocks can be fully hedged by purchasing a stock index futures contract.B. Speculators play an important role in the futures market by providing the liquidity that makes hedging possible and assuming the risk that hedgers are trying to eliminate.C. Someone generally using futures contract for hedging does not bear the basis risk. D. Cross hedging involves an additional source of basis risk because the asset being hedged is exactly the same as the asset underlying the futures.
Zvi Wiener - MRM slide 124http://www.tfii.org
FRM-00, Question 79Under which scenario is basis risk likely to exist?
A. A hedge (which was initially matched to the maturity of the underlying) is lifted before expiration.
B. The correlation of the underlying and the hedge vehicle is less than one and their volatilities are unequal.
C. The underlying instrument and the hedge vehicle are dissimilar.
D. All of the above.
Zvi Wiener - MRM slide 125http://www.tfii.org
FRM-00, Question 79Under which scenario is basis risk likely to exist?
A. A hedge (which was initially matched to the maturity of the underlying) is lifted before expiration.
B. The correlation of the underlying and the hedge vehicle is less than one and their volatilities are unequal.
C. The underlying instrument and the hedge vehicle are dissimilar.
D. All of the above.
Zvi Wiener - MRM slide 126http://www.tfii.org
The Optimal Hedge Ratio
S - change in $ value of the inventory
F - change in $ value of the one futures
N - number of futures you buy/sell
FNSV
FSFSV NN ,2222 2
FSFV N
N
,2
2
22
Zvi Wiener - MRM slide 127http://www.tfii.org
The Optimal Hedge Ratio
FSFV N
N
,2
2
22
F
SFS
F
FSoptN
,2
,
Minimum variance hedge ratio
Zvi Wiener - MRM slide 128http://www.tfii.org
Hedge Ratio as Regression Coefficient
The optimal amount can also be derived as the slope coefficient of a regression s/s on f/f:
f
f
s
ssf
f
ssf
f
sfsf
2
Zvi Wiener - MRM slide 129http://www.tfii.org
Optimal Hedge
One can measure the quality of the optimal hedge ratio in terms of the amount by which we have decreased the variance of the original portfolio.
22
2*
22 )(
sfs
VsR
2* 1 RsV
If R is low the hedge is not effective!
Zvi Wiener - MRM slide 130http://www.tfii.org
Optimal Hedge
At the optimum the variance is
2
222
*F
SFSV
Zvi Wiener - MRM slide 131http://www.tfii.org
FRM-99, Question 66The hedge ratio is the ratio of the size of the position taken in the futures contract to the size of the exposure. Denote the standard deviation of change of spot price by 1, the standard deviation of change of future price by 2, the correlation between the changes in spot and futures prices by . What is the optimal hedge ratio?
A. 1/1/2
B. 1/2/1
C. 1/2
D. 2/1
Zvi Wiener - MRM slide 132http://www.tfii.org
FRM-99, Question 66The hedge ratio is the ratio of the size of the position taken in the futures contract to the size of the exposure. Denote the standard deviation of change of spot price by 1, the standard deviation of change of future price by 2, the correlation between the changes in spot and futures prices by . What is the optimal hedge ratio?
A. 1/1/2
B. 1/2/1
C. 1/2
D. 2/1
Zvi Wiener - MRM slide 133http://www.tfii.org
FRM-99, Question 66The hedge ratio is the ratio of derivatives to a spot position (vice versa) that achieves an objective such as minimizing or eliminating risk. Suppose that the standard deviation of quarterly changes in the price of a commodity is 0.57, the standard deviation of quarterly changes in the price of a futures contract on the commodity is 0.85, and the correlation between the two changes is 0.3876. What is the optimal hedge ratio for a three-month contract?
A. 0.1893
B. 0.2135
C. 0.2381
D. 0.2599
Zvi Wiener - MRM slide 134http://www.tfii.org
FRM-99, Question 66The hedge ratio is the ratio of derivatives to a spot position (vice versa) that achieves an objective such as minimizing or eliminating risk. Suppose that the standard deviation of quarterly changes in the price of a commodity is 0.57, the standard deviation of quarterly changes in the price of a futures contract on the commodity is 0.85, and the correlation between the two changes is 0.3876. What is the optimal hedge ratio for a three-month contract?
A. 0.1893
B. 0.2135
C. 0.2381
D. 0.2599
Zvi Wiener - MRM slide 135http://www.tfii.org
ExampleAirline company needs to purchase 10,000 tons of jet fuel in 3 months. One can use heating oil futures traded on NYMEX. Notional for each contract is 42,000 gallons. We need to check whether this hedge can be efficient.
Zvi Wiener - MRM slide 136http://www.tfii.org
ExampleSpot price of jet fuel $277/ton.
Futures price of heating oil $0.6903/gallon.
The standard deviation of jet fuel price rate of changes over 3 months is 21.17%, that of futures 18.59%, and the correlation is 0.8243.
Zvi Wiener - MRM slide 137http://www.tfii.org
Compute
• The notional and standard deviation f the
unhedged fuel cost in $.
• The optimal number of futures contracts to
buy/sell, rounded to the closest integer.
• The standard deviation of the hedged fuel
cost in dollars.
Zvi Wiener - MRM slide 138http://www.tfii.org
Solution
The notional is Qs=$2,770,000, the SD in $ is
(s/s)sQs=0.2117$277 10,000 = $586,409
the SD of one futures contract is
(f/f)fQf=0.1859$0.690342,000 = $5,390
with a futures notional
fQf = $0.690342,000 = $28,993.
Zvi Wiener - MRM slide 139http://www.tfii.org
Solution
The cash position corresponds to a liability
(payment), hence we have to buy futures as a
protection.
sf= 0.8243 0.2117/0.1859 = 0.9387
sf = 0.8243 0.2117 0.1859 = 0.03244
The optimal hedge ratio is
N* = sf Qss/Qff = 89.7, or 90 contracts.
Zvi Wiener - MRM slide 140http://www.tfii.org
Solution
2unhedged = ($586,409)2 = 343,875,515,281
- 2SF/ 2
F = -(2,605,268,452/5,390)2
hedged = $331,997
The hedge has reduced the SD from $586,409
to $331,997.
R2 = 67.95% (= 0.82432)
Zvi Wiener - MRM slide 141http://www.tfii.org
FRM-99, Question 67In the early 90s, Metallgesellshaft, a German oil company, suffered a loss of $1.33B in their hedging program. They rolled over short dated futures to hedge long term exposure created through their long-term fixed price contracts to sell heating oil and gasoline to their customers. After a time, they abandoned the hedge because of large negative cashflow. The cashflow pressure was due to the fact that MG had to hedge its exposure by:
A. Short futures and there was a decline in oil price
B. Long futures and there was a decline in oil price
C. Short futures and there was an increase in oil price
D. Long futures and there was an increase in oil price
Zvi Wiener - MRM slide 142http://www.tfii.org
FRM-99, Question 67In the early 90s, Metallgesellshaft, a German oil company, suffered a loss of $1.33B in their hedging program. They rolled over short dated futures to hedge long term exposure created through their long-term fixed price contracts to sell heating oil and gasoline to their customers. After a time, they abandoned the hedge because of large negative cashflow. The cashflow pressure was due to the fact that MG had to hedge its exposure by:
A. Short futures and there was a decline in oil price
B. Long futures and there was a decline in oil price
C. Short futures and there was an increase in oil price
D. Long futures and there was an increase in oil price
Zvi Wiener - MRM slide 143http://www.tfii.org
Duration Hedging
dyPDdP *
Dollar duration
yFDFySDS FS **
2**
22*2
22*2
ySFSF
yFF
ySS
SDFD
FD
SD
Zvi Wiener - MRM slide 144http://www.tfii.org
Duration Hedging
FD
SDN
F
S
F
SF
*
*
2*
If we have a target duration DV* we can get it by using
FD
SDVDN
F
SV
*
**
Zvi Wiener - MRM slide 145http://www.tfii.org
Example 1A portfolio manager has a bond portfolio worth $10M with a modified duration of 6.8 years, to be hedged for 3 months. The current futures prices is 93-02, with a notional of $100,000. We assume that the duration can be measured by CTD, which is 9.2 years.
Compute:a. The notional of the futures contractb.The number of contracts to by/sell for optimal protection.
Zvi Wiener - MRM slide 146http://www.tfii.org
Example 1The notional is:
(93+2/32)/100$100,000 =$93,062.5
The optimal number to sell is:
4.795.062,93$2.9
000,000,10$8.6*
*
*
FD
SDN
F
S
Note that DVBP of the futures is 9.2$93,0620.01%=$85
Zvi Wiener - MRM slide 147http://www.tfii.org
Example 2On February 2, a corporate treasurer wants to hedge a July 17 issue of $5M of CP with a maturity of 180 days, leading to anticipated proceeds of $4.52M. The September Eurodollar futures trades at 92, and has a notional amount of $1M.
Compute
a. The current dollar value of the futures contract.
b. The number of futures to buy/sell for optimal hedge.
Zvi Wiener - MRM slide 148http://www.tfii.org
Example 2
The current dollar value is given by
$10,000(100-0.25(100-92)) =
$980,000
Note that duration of futures is 3 months,
since this contract refers to 3-month LIBOR.
Zvi Wiener - MRM slide 149http://www.tfii.org
Example 2
If Rates increase, the cost of borrowing will
be higher. We need to offset this by a gain, or
a short position in the futures. The optimal
number of contracts is:
2.9000,980$90
000,520,4$180*
*
*
FD
SDN
F
S
Note that DVBP of the futures is 0.25$1,000,0000.01%=$25
Zvi Wiener - MRM slide 150http://www.tfii.org
FRM-00, Question 73What assumptions does a duration-based hedging scheme make about the way in which interest rates move?
A. All interest rates change by the same amount
B. A small parallel shift in the yield curve
C. Any parallel shift in the term structure
D. Interest rates movements are highly correlated
Zvi Wiener - MRM slide 151http://www.tfii.org
FRM-00, Question 73What assumptions does a duration-based hedging scheme make about the way in which interest rates move?
A. All interest rates change by the same amount
B. A small parallel shift in the yield curve
C. Any parallel shift in the term structure
D. Interest rates movements are highly correlated
Zvi Wiener - MRM slide 152http://www.tfii.org
FRM-99, Question 61If all spot interest rates are increased by one basis point, a value of a portfolio of swaps will increase by $1,100. How many Eurodollar futures contracts are needed to hedge the portfolio?
A. 44
B. 22
C. 11
D. 1100
Zvi Wiener - MRM slide 153http://www.tfii.org
FRM-99, Question 61
The DVBP of the portfolio is $1,100.
The DVBP of the futures is $25.
Hence the ratio is 1100/25 = 44
Zvi Wiener - MRM slide 154http://www.tfii.org
FRM-99, Question 109Roughly how many 3-month LIBOR Eurodollar futures contracts are needed to hedge a position in a $200M, 5 year, receive fixed swap?
A. Short 250
B. Short 3,200
C. Short 40,000
D. Long 250
Zvi Wiener - MRM slide 155http://www.tfii.org
FRM-99, Question 109
The dollar duration of a 5-year 6% par bond is about 4.3 years. Hence the DVBP of the fixed leg is about
$200M4.30.01%=$86,000.
The floating leg has short duration - small impact decreasing the DVBP of the fixed leg.
DVBP of futures is $25.
Hence the ratio is 86,000/25 = 3,440. Answer A
Zvi Wiener - MRM slide 156http://www.tfii.org
Beta Hedging
represents the systematic risk, - the intercept (not a source of risk) and - residual.
itmtiiit RR
M
M
S
S
A stock index futures contractM
M
F
F
1
Zvi Wiener - MRM slide 157http://www.tfii.org
Beta Hedging
M
MNF
M
MSFNSV
The optimal N is F
SN
*
The optimal hedge with a stock index futures is given by beta of the cash position times its value divided by the notional of the futures contract.
Zvi Wiener - MRM slide 158http://www.tfii.org
Example
A portfolio manager holds a stock portfolio worth $10M, with a beta of 1.5 relative to S&P500. The current S&P index futures price is 1400, with a multiplier of $250.
Compute:
a. The notional of the futures contract
b. The optimal number of contracts for hedge.
Zvi Wiener - MRM slide 159http://www.tfii.org
Example
The notional of the futures contract is
$2501,400 = $350,000
The optimal number of contracts for hedge is
9.42000,350$1
000,000,10$5.1*
F
SN
The quality of the hedge will depend on the size of the residual risk in the portfolio.
Zvi Wiener - MRM slide 160http://www.tfii.org
A typical US stock has correlation of 50% with S&P.
Using the regression effectiveness we find that the volatility of the hedged portfolio is still about
(1-0.52)0.5 = 87% of the unhedged volatility for a typical stock.
If we wish to hedge an industry index with S&P futures, the correlation is about 75% and the unhedged volatility is 66% of its original level.
The lower number shows that stock market hedging is more effective for diversified portfolios.
Zvi Wiener - MRM slide 161http://www.tfii.org
FRM-00, Question 93A fund manages an equity portfolio worth $50M with a beta of 1.8. Assume that there exists an index call option contract with a delta of 0.623 and a value of $0.5M. How many options contracts are needed to hedge the portfolio?
A. 169
B. 289
C. 306
D. 321
Zvi Wiener - MRM slide 162http://www.tfii.org
FRM-00, Question 93
The optimal hedge ratio is
N = -1.8$50,000,000/(0.623$500,000)=289
MRM FRM-GARP Oct-2001
VaR methods
Following Jorion 2001, Chapter 17
Financial Risk Manager Handbook
Zvi Wiener - MRM slide 164http://www.tfii.org
Risk Factors
There are many bonds, stocks and currencies.
The idea is to choose a small set of relevant economic
factors and to map everything on these factors.
• Exchange rates
• Interest rates (for each maturity and indexation)
• Spreads
• Stock indices
Zvi Wiener - MRM slide 165http://www.tfii.org
How to measure VaR
• Historical Simulations
• Variance-Covariance
• Monte Carlo
• Analytical Methods
• Parametric versus non-parametric approaches
Zvi Wiener - MRM slide 166http://www.tfii.org
Historical Simulations
• Fix current portfolio.
• Pretend that market changes are
similar to those observed in the past.
• Calculate P&L (profit-loss).
• Find the lowest quantile.
Zvi Wiener - MRM slide 167http://www.tfii.org
Example
4.00
4.20
4.20
4.10
4.15
Assume we have $1 and our main currency is SHEKEL. Today $1=4.30.
Historical data:
4.30*4.20/4.00 = 4.515
4.30*4.20/4.20 = 4.30
4.30*4.10/4.20 = 4.198
4.30*4.15/4.10 = 4.352
P&L
0.215
0
-0.112
0.052
Zvi Wiener - MRM slide 168http://www.tfii.org
432 )063.01(
20
)062.01(
300
)061.01(
200
06.01
100
432 )13.01(
30
)12.01(
20
)11.01(
100
1.01
120
today
USD NIS
2000 100 -120
2001 200 100
2002 -300 -20
2003 20 30
Zvi Wiener - MRM slide 169http://www.tfii.org
today
432 )073.01(
20
)072.01(
300
)071.01(
200
07.01
100
432 )12.01(
30
)11.01(
20
)11.01(
100
11.01
120
Changesin IR
USD: +1% +1% +1% +1%NIS: +1% 0% -1% -1%
432 )063.01(
20
)062.01(
300
)061.01(
200
06.01
100
432 )13.01(
30
)12.01(
20
)11.01(
100
1.01
120
Zvi Wiener - MRM slide 170http://www.tfii.org
Returns
year
1% of worst cases
Zvi Wiener - MRM slide 171http://www.tfii.org
-3 -2 -1 1 2 3
0.2
0.4
0.6
0.8
1
Profit/Loss
VaR
1% VaR1%
Zvi Wiener - MRM slide 172http://www.tfii.org
Variance Covariance
• Means and covariances of market factors
• Mean and standard deviation of the portfolio
• Delta or Delta-Gamma approximation
• VaR1%= P – 2.33 P
• Based on the normality assumption!
Zvi Wiener - MRM slide 173http://www.tfii.org
Variance-Covariance VVVaR 33.2%1
2.33
-2.33
1%
Zvi Wiener - MRM slide 174http://www.tfii.org
Monte Carlo
-1 -0.5 0.5 1
-1
-0.5
0.5
1
Zvi Wiener - MRM slide 175http://www.tfii.org
Monte Carlo
• Distribution of market factors
• Simulation of a large number of events
• P&L for each scenario
• Order the results
• VaR = lowest quantile
Zvi Wiener - MRM slide 176http://www.tfii.org
Monte Carlo Simulation
10 20 30 40
-15
-10
-5
5
10
15
Zvi Wiener - MRM slide 177http://www.tfii.org
Weights
Since old observations can be less relevant, there is a technique that assigns decreasing weights to older observations. Typically the decrease is exponential.
See RiskMetrics Technical Document for details.
Zvi Wiener - MRM slide 178http://www.tfii.org
Stock Portfolio
• Single risk factor or multiple factors
• Degree of diversification
• Tracking error
• Rare events
Zvi Wiener - MRM slide 179http://www.tfii.org
Bond Portfolio
• Duration
• Convexity
• Partial duration
• Key rate duration
• OAS, OAD
• Principal component analysis
Zvi Wiener - MRM slide 180http://www.tfii.org
Options and other derivatives
• Greeks
• Full valuation
• Credit and legal aspects
• Collateral as a cushion
• Hedging strategies
• Liquidity aspects
Zvi Wiener - MRM slide 181http://www.tfii.org
Credit Portfolio
• rating, scoring
• credit derivatives
• reinsurance
• probability of default
• recovery ratio
Zvi Wiener - MRM slide 182http://www.tfii.org
Reporting
Division of VaR by business units, areas of
activity, counterparty, currency.
Performance measurement - RAROC (Risk
Adjusted Return On Capital).
Zvi Wiener - MRM slide 183http://www.tfii.org
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.
Zvi Wiener - MRM slide 184http://www.tfii.org
Backtesting
Green zone - up to 4 exceptions
Yellow zone - 5-9 exceptions
Red zone - 10 exceptions or more
OK
increasing k
intervention
Zvi Wiener - MRM slide 185http://www.tfii.org
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?
Zvi Wiener - MRM slide 186http://www.tfii.org
Local Valuation
Simple approach based on linear approximation.
)()*( dyWorstPDdPWorst
Full Valuation
Requires repricing of assets.
)()( 00 yPdyWorstyPdPWorst
Zvi Wiener - MRM slide 187http://www.tfii.org
Delta-Gamma Method
The valuation is still local (the bond is priced only at current rates).
22
2
)(2
1dy
dy
Pddy
dy
dPdP
2)(5.0* dyCPPdyDdP
Zvi Wiener - MRM slide 188http://www.tfii.org
FRM-97, Question 13An institution has a fixed income desk and an exotic options desk. Four risk reports were produced, each with a different methodology. With all four methodologies readily available, which of the following would you use to allocate capital?A. Simulation applied to both desks.B. Delta-Normal applied to both desks.C. Delta-Gamma for the exotic options desk and the delta-normal for the fixed income desk. D. Delta-Gamma applied to both desks.
Zvi Wiener - MRM slide 189http://www.tfii.org
An institution has a fixed income desk and an exotic options desk. Four risk reports were produced, each with a different methodology. With all four methodologies readily available, which of the following would you use to allocate capital?A. Simulation applied to both desks.B. Delta-Normal applied to both desks.C. Delta-Gamma for the exotic options desk and the delta-normal for the fixed income desk. D. Delta-Gamma applied to both desks.
FRM-97, Question 13
Bad question!
Zvi Wiener - MRM slide 190http://www.tfii.org
Mapping
Replacing the instruments in the portfolio by
positions in a limited number of risk factors.
Then these positions are aggregated in a
portfolio.
Zvi Wiener - MRM slide 191http://www.tfii.org
Delta-Normal method
Assumes
• linear exposures
• risk factors are jointly normally distributed
The portfolio variance is
xxreturns T)(2Forecast of the covariance matrix for the horizon
Zvi Wiener - MRM slide 192http://www.tfii.org
Delta-normal Histor. MC
Valuation linear full full
Distribution normal actual general
Extreme events low prob. recent possible
Ease of comput. Yes intermed. No
Communicability Easy Easy Difficult
VaR precision Bad depends good
Major pitalls nonlinearity unstable model
fat tails risk
Zvi Wiener - MRM slide 193http://www.tfii.org
FRM-97, Question 12Delta-Normal, Historical-Simulations, and MC are various methods available to compute VaR. If underlying returns are normally distributed, then the:A. DN VaR will be identical to HS VaR.B. DN VaR will be identical to MC VaR.C. MC VaR will approach DN VaR as the number of simulations increases. D. MC VaR will be identical to HS VaR.
Zvi Wiener - MRM slide 194http://www.tfii.org
FRM-97, Question 12Delta-Normal, Historical-Simulations, and MC are various methods available to compute VaR. If underlying returns are normally distributed, then the:A. DN VaR will be identical to HS VaR.B. DN VaR will be identical to MC VaR.C. MC VaR will approach DN VaR as the number of simulations increases. D. MC VaR will be identical to HS VaR.
Zvi Wiener - MRM slide 195http://www.tfii.org
FRM-98, Question 6
Which VaR methodology is least effective for measuring options risks?
A. Variance-covariance approach.
B. Delta-Gamma.
C. Historical Simulations.
D. Monte Carlo.
Zvi Wiener - MRM slide 196http://www.tfii.org
FRM-98, Question 6
Which VaR methodology is least effective for measuring options risks?
A. Variance-covariance approach.
B. Delta-Gamma.
C. Historical Simulations.
D. Monte Carlo.
Zvi Wiener - MRM slide 197http://www.tfii.org
FRM-99, Questions 15, 90
The VaR of one asset is 300 and the VaR of another one is 500. If the correlation between changes in asset prices is 1/15, what is the combined VaR?
A. 525
B. 775
C. 600
D. 700
Zvi Wiener - MRM slide 198http://www.tfii.org
FRM-99, Questions 15, 90
BABABA 2222
15
5003002500300 222
BA
22 600BA
Zvi Wiener - MRM slide 199http://www.tfii.org
ExampleOn Dec 31, 1998 we have a forward contract to buy 10M GBP in exchange for delivering $16.5M in 3 months.
St - current spot price of GBP in USD
Ft - current forward price
K - purchase price set in contract
ft - current value of the contract
rt - USD risk-free rate, rt* - GBP risk-free rate
- time to maturity
Zvi Wiener - MRM slide 200http://www.tfii.org
**
1
1)1(,
1
1)1($
tt
tt r
GBPPVPr
PVP
ttttt
tt KPPS
r
K
r
Sf
*
* 11
KdPSdPdSP
dPdP
dfdP
dP
dfdS
dS
dfdf ttt
t
**
**
Zvi Wiener - MRM slide 201http://www.tfii.org
The forward contract is equivalent to
a long position of SP* on the spot rate
a long position of SP* in the foreign bill
a short position of KP in the domestic bill
P
dPKP
P
dPSP
S
dSSPdf
*
***
Zvi Wiener - MRM slide 202http://www.tfii.org
On the valuation date we have
S = 1.6595, r = 4.9375%, r* = 5.9688%
Vt = $93,581 - the current value of the contract
tt
ttt r
M
r
SMGBPQfV
1
5.16$
1
10*