VaR Methods
VaR Methods
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VaR: Definition
Value at Risk is a summary measure
of downside risk expressed in dollars,
or in the reference currency.
A general definition is
“VaR is the maximum loss over a
target horizon such that there is a
Local vs. Full Valuation
Local valuation
methods make use of
the valuation of the instruments at
the current point, along with the first
and perhaps the second partial
derivatives.
Full valuation
methods, in contrast,
Local Valuation
Local valuation methods, also known
as analytical methods.
These include linear models and
nonlinear models.
Linear models are based on the
covariance matrix approach.
Nonlinear models take into account
the first and second partial
Local Valuation
VAR was born from the recognition that we need
an estimate that accounts for various sources of risk and expresses loss in terms of probability.
Extending the duration equation to the worst
change in yield at some confidence level dy,
For a long position in the bond, the worst
Local Valuation
This approach is called local valuation, because it
uses information about the initial price and the exposure at the initial point. As a result, the VAR for the bond is given by
Advantage simplicity: The distribution of the price is the same as that of the change in yield.
Convenient for portfolios with numerous sources
0.02 0.04 0.06 0.08 0.1 y 20 40 60 80 100 120 140 160 P
Example with a simple Bond
The price of a coupon bond is given below.
If we set c = 5 and F = 100, plot the bond price as a
function of y.
BondPrice
i 1 n
c
1
y
i
100
Using Duration to approximate the change in bond price
The change in the price of the bond is
linked to the modified duration by the
expression
If we look at the bond with c = 5 and F =
100, and y = 6% with price 92.64. Then
the change in price can be
approximated.
P
D
P
y
where
D
1
P
P
0.02 0.04 0.06 0.08 0.1 y 20
40 60 80 100 120 140
P
Using Duration to approximate the change in bond price
Linear approximation vs true price
y 20
40 60 80 100 120 140 160
P
Approximation bad when Δy is large
0.02 0.04 0.06 0.08 0.1 y 80
100 120 140 160
P
Linear approximation vs exact price
VaR(99%) Δy = +1.59%
= (-7.57*92.64)x(1.59%) = -11.1481
Linear approximation vs exact price
If
y = 7.59 (= 6.00 + 1.59), c = 5
. Then
the price of bond is
82.2949
The approximation gives the price of
the bond of
P + ΔP =
92.6399 -11.1481
= 81.4948
Price of a coupon bond P
i 1 n
c
1 y
i 100
Practice questions
(Q1) Using linear
approximation, if the interest
rate VaR(99%) is +1.5%. Find
the 99% VaR for a bond with a
modified duration of 25 years
and a current price of
Practice questions
(Q2) Using linear approximation, if
the interest rate VaR(95%) is
+0.7%. Find the 95% VaR for a
Full Valuation
More generally, to take into account
nonlinear relationships, one would have to
reprice the bond under different scenarios
for the yield.
Defining
y
0as the initial yield
We call this approach full valuation
Full Valuation
dPworst P
y0 dyworst
P
y0
P
0.0600 0.0159
P
0.0600
i 1
10
5
1 0.0759
i 100
1 0.0759
10
i 110
5
1 0.0600
i 100
1 0.0600
10
82.2949 92.6399
10.3451
Note that the VaR from the full valuation and the linear
Example of the Full Valuation
Consider a zero coupon bond with maturity 20 years, face value 100. If the interest rate VaR at 98% is +3.4%. The current price of the bond is 35. Calculate the VaR at 98% for this bond.
(1) Calculate the yield to maturity.
(2) Find the bond price with yield (y0+ dy)
Delta-Gamma Method
Ideally, we would like to keep the simplicity of the local
valuation while accounting for nonlinearities in the payoffs patterns.
Using the Taylor expansion,
How well does the delta-gamma model perform.
0.02 0.04 0.06 0.08 0.1 y
80 100 120 140
P
This one uses both the first and the second derivative to approximate the price of the bond, note that we start seeing some curvature coming in.
This is the approximation
made using the first derivative only, namely the modified
How well does the delta-gamma model perform.
y 80
100 120 140 160
P
Performance of Gamma-Delta VaR
The improvement brought about by this
method depends on the size of the
second-order coefficient, as well as the
size of the worst move in the risk factor.
For forward contracts, for instance, Γ = 0,
and there is no point in adding second
order terms. Similarly for most
Example: Delta-Gamma Model
Calculate the 95% VaR on the bond whose current price is 50, current yield is 6%, the modified duration is 4.2 and the