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Pricing Derivatives with Barriers
in a Stochastic Interest Rate Environment
Carole Bernard (University of Waterloo)
Olivier Le Courtois (E.M. Lyon)
François Quittard-Pinon (University of Lyon)
1
Introduction
Our aim : pricing barrier products
when interest rates are stochastic.
In order to illustrate our methodology,
we study a particular barrier option : the Shark Option.
Yet, our approach is very general,
and has applications in lots of other fields.
2
Relevance
26% of Equity Linked Products currently traded on the
American Stock Exchange are Barrier Products.
Applications : Extension of Rubinstein and Reiner (1991)
Formulas for Barrier Options, Defaultable Bonds,
Structured Products, Index Linked Derivatives,
Real Options, Stock Options, Portfolio Allocation
Market Value of Life Insurance Contracts.
Maturity of traded barrier products can be quite long,
up to 5 years (among Index Linked Notes).
⇒ Stochastic Interest Rates.
3
Outline of the Talk
➠ Description of the Shark Option
➠ Underlying and Interest Rate Model
➠ Two Types of Barriers :
1. Constant Barrier
2. Stochastic Barrier
⇒ Two Valuation Methods
➠ Numerical Analysis
4
Shark Options
A Shark Option is :
an up and out Barrier Option with a Rebate.
The optionholder receives at expiry T :
1 + (ST−S0)+
S0if Smax < H
β otherwise
☞ H is the barrier level, β is the rebate.
☞ ST is the underlying price at time T ,
☞ Smax is the maximum of S over [0, T ].
5
Maximum Payoff of a Shark OptionNominal= S0 = 100, β = 1.1, H = 135
100 110 120 130 140 150 160 170 180 190 200100
105
110
115
120
125
130
135
140
ST
Maxim
um Pa
yoff
Payoff w.r.t. ST . (Smax ≥ ST ) thus this payoff is the
maximum the holder might receive.
because one might have Smax > H and ST < H.
6
Shark Options
Using standard results from arbitrage pricing theory,
we can express the option price (at time 0)
under the risk-neutral probability Q :
C0 = EQ
e−∫ T0 rsds
1 +(ST − S0)
+
S0
1{Smax6H} + β1{Smax>H}
7
Interest Rate Modeling
The term structure is given through
the default-free zero-coupon bonds P (t, T )
which dynamics under Q are :
dP (t, T )
P (t, T )= rtdt − σP (t, T )dZQ
1 (t)
We assume an exponential volatility :
σP (t, T ) =ν
a
(1 − e−a(T−t)
)
8
Underlying Dynamics
The index dynamics
under the risk-neutral probability Q are :
dSt
St= rtdt + σdZQ(t)
where ZQ and ZQ1 are correlated Q-Brownian motions.
(dZQ.dZQ1 = ρdt).
9
Two Steps
☞ Decorrelation. Let ZQ2 be independent from ZQ
1 :
dZQ(t) = ρdZQ1 (t) +
√1 − ρ2dZQ
2 (t)
☞ Change of Measure.
Let QT be the T -forward-neutral measure.
From Girsanov theorem, ZQT1 and Z
QT2 are independent
QT -Brownian motions when defined by :
dZQT1 = dZQ
1 + σP (t, T )dt , dZQT2 = dZQ
2
10
Option Valuation at t = 0
The Shark option’s price (at time 0) is equal to :
C0 = P (0, T ) EQT
[ (
1 +ST
S0
)
1{Smax<H} + β1{Smax≥H}
]
We obtain the following option price :
C0
P (0, T )= β QT (γ 6 T ) + QT (ST < S0, γ > T )+EQT
[ST
S01{ST>S0, γ>T}
]
where γ is the first-passage time of S to the level H
11
Two Types of Barriers
1. Constant Barrier : H
Semi-closed-form Formulae can be obtained.
Methodology : Extended Fortet’s Approximation
2. Discounted Barrier : HP (t, T )
Closed-form Formulae can be obtained.
12
Shark Options : Constant Barrier
Problem : We need to know the law of γ,
first passage time of S above H.
➠ Longstaff and Schwartz (1995) use Fortet’s results to
approximate the density of γ in a problem similar to ours.
➠ Collin-Dufresne and Goldstein (2001) correct the pre-
vious method.
13
First Passage Time Approximate Density
Let us recall the definition of γ :
γ = inf{t ∈ [0, T ] / St < H}
Scheme’s Idea : Approximate the density of γ at any time tunder QT as a piecewise constant function.
– The interval [0, T ] is subdivided into nT subperiods :
t0 = 0, ... , tj, ... , tnT = T
– The interest rate is discretized between rmin and rmax intonr intervals. ri = rmin + iδr are the discretized values of theinterest rate.
14
The probability of the event{γ ∈ [tj, tj+1] with r ∈ [ri, ri+1]
}
is denoted by :
q(i, j)
Collin-Dufresne and Goldstein give a recursive formula to com-
pute these probabilities, starting with :
q( i, 0 ) = Φ( ri, t0 )
where one first computes q( i, 0 ) for each i, and then q(i, j)recursively for j ≥ 1 using :
q(i, j) = Φ( ri, tj ) −j−1∑
v=0
nr∑
u=0
q(u, v ) Ψ( ri, tj | ru, tv )
where Φ and Ψ are completely known.
15
Expressions of Φ and Ψ
Φ( rt, t ) = fr( rt, t| l0, r0, 0) N(
µ( rt, l0, r0 )−h√Σ2( rt, l0, r0 )
)
Ψ( rt, t | rs, s ) = fr( rt, t | ls = h, rs, s) N(
µ( rt, ls=h, rs )−h√Σ2( rt, ls=h, rs )
)
where :
∗ fr( rt, t | ls = h, rs, s) = 1√2πv
e−(rt−m)2
2v , m = E[rt|rs] , v = Var[rt|rs]
∗ l is defined by : lt = lnSt, h = ln(H),
∗ µ and Σ are the conditional moments of l.
16
Shark Options : Constant Barrier
The Shark’s price can therefore be expressed as :
C0 = P (0, T ) [βE1 + E2] + E3
where the three components can be written in terms of such
sums :
E1 =nT∑
j=0
nr∑
i=0q(i, j)
E2 = N(
l0−MT√VT
)−
nT∑
j=0
nr∑
i=0
nr∑
k=0δrfr(rk | ri, tj, ltj)N
l0−µ̂tj,T√
Σ̂2tj,T
q(i, j)
...
17
Shark Options : Stochastic Barrier
From now on,
we suppose the barrier is discounted :
Dt = HP(t,T)
γ = inf{t ∈ [0, T ] / St < HP (t, T )}
The barrier is proportional to a zero-coupon bond
(P (t, T ) is stochastic).
18
Shark Options : Discounted Barrier
We use time change techniques
in a similar way as Briys and de Varenne [1997]
who extended the Black and Cox model [1976]
by considering a stochastic default barrier.
and the following well-known Tools :
- Girsanov Theorem
- Dubins-Schwarz Theorem
19
The Shark’s price can therefore be expressed as :
C0 = P (0, T ) [βE1 + E2] + E3
where the three components can be written in closed-form :
E1 = N
ln(
S0KP (0,T )
)−τ(T )
2√τ(T )
+ S0KP (0,T )
N
ln(
S0KP (0,T )
)+
τ(T )2√
τ(T )
E2 = N(
ln(P (0,T ))+τ(T )
2√τ(T )
)
− S0KP (0,T )
N
ln
(S20
K2P (0,T )
)+τ(T )
2√τ(T )
...
where τ(T ) =∫ T0
[(σP (u, t) + ρσ)2 + σ2(1 − ρ2)
]du
20
Numerical Analysis
Parameters Chosen Values :
S0 σ T H β a ν r0 θ100 20% 1 135 1.1 0.46 0.007 0.015 0.05
where r0 and θ give
the initial term structure of interest rates.
21
Sensitivity to the Correlation ρ
−0.8 −0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8
0.94
0.96
0.98
1
1.02
1.04
Correlation ρ
C(0,T)
Discounted BarrierConstant Barrier
Option Value w.r.t. the correlation ρ.
22
Conclusion
The aim is to develop a methodology for the
pricing of barrier options in closed form
and with stochastic interest rates.
When the barrier is constant, quasi-closed-form formulae
can be found thanks to an Extended Fortet Methodology.
When the derivative’s barrier is a discounted one, using time
change techniques we obtain closed-form formulae.
23