Average Strike Put Options of the Game Type

Một phần của tài liệu Stochastic processes and applications to mathematical finance (Trang 194 - 198)

We shall consider the game type Asian option. The pay-off function of the holder of the option is given by f(S,G) and that of the writer is given by fδ(S,G)= f(S,G)+δ(S,G) (> f(S,G)), whereδ(S,G) denotes the penalty payed by the writer in the case where he cancel the option. The price of the option is then given by

V(S,G,t) := inf

σ∈Tt,T

sup

τ∈Tt,T

JS,G,t(σ, τ), where

JS,G,t(σ, τ) :=E0[er(σ∧τ−t){f(Sτ,Gτ)1τ≤σ+ fδ(Sσ,Gσ)1σ<τ}|St =S,Gt =G].

It is finite for any S,G,tby (2.6). Further it holds f(S,G) ≤ V(S,G,t) ≤ fδ(S,G) for anyS,G,t.

Suppose that the pay-off functions satisfy f(S,G) = Sξ(G/S) and fδ(S,G)=Sξδ(G/S).Then we have

V(S,Sey/t,t)= inf

σ∈Tt,T sup

τ∈Tt,T

E∗[eq(σ∧τ−t)S{ξ(eϕt,τ(y)/τ)1τ≤σ+ξδ(eϕt,σ(y)/σ)1σ<τ}].

ThereforeV(S,Sey/t,t)/Sis a function depending only on (y,t). It coincides with the followingW(y,t) a.s. for any (y,t)

W(y,t) := inf

σ∈Tt,T

sup

τ∈Tt,T

Jy,t(σ, τ), (4.1)

where

Jy,t(σ, τ)=E∗[eq(σ∧τ−t){ξ(eϕt,τ(y)/τ)1τ≤σ+ξδ(eϕt,σ(y)/σ)1σ<τ}].

(4.2) It satisfies

ξ(ey/t)≤W(y,t)≤ξδ(ey/t)

for anyy,t. Now we define the writer’s cancellation region, the holder’s exercise region and the continuation region by

EA={(y,t);W(y,t)=ξδ(ey/t)}, EB={(y,t);W(y,t)=ξ(ey/t)}, (4.3)

CG={(y,t);ξ(ey/t)<W(y,t)< ξδ(ey/t)},

respectively. Letσ∗=σ∗y,tandτ∗=τ∗(y,t)be hitting times ofϕt,u(y),u∈[t,T]

to the setsEA,EB, respectively. Then it holds W(y,t)=Jy,t(σ∗, τ∗) (4.4)

for any y,t. (IfEA = φthen σ∗ = T holds valid. In this case we have W(y,t)=WA(y,t) for any (y,t))

Now shall consider the average strike put option of the game type. The pay-offfunctions are defined by

ξ(ey/t)=max{ey/t−1,0}, ξδ(ey/t)=ξ(ey/t)+δ, whereδis a positive constant.

The value function of the American average strike put optionWA(y,t) is a strictly decreasing function oft. It converges to the pay-offfunction ξ(ey/T) astT. ThereforeWA(0,t) decreases to 0 astincreases toT. Hence ifWA(0,0)> δ, then there exists a unique 0≤t∗δ<Tsuch thatWA(0,t)< δ fort>t∗δandWA(0,t)> δfort<t∗δ. IfWA(0,0)< δ, thenWA(0,t)< δholds for allt. In this case we sett∗δ=0.

Theorem 4.1. Consider the average strike put option of the game type. Assume 0≤qr.

1)EB is a nonempty closed set and the sectionEBt is equal to the upper half line [y∗δ(t),∞), where0<y∗δ(t)≤ya(t).

2) The writer’s cancellation regionEAis equal toE0 :={(0,t);tt∗δ},i.e., EAt =

{0},if tt∗δ, φ, if t>t∗δ. (4.5)

Thefirst assertion on the exercise regionEB can be verified similarly as Theorem 3.2. In order to prove the second assertion, we prepare two lemmas.

We consider the function

W(yt) :=sup

τ Jy,t(σ0, τ), (4.6)

whereσ0is the hitting time to the setE0. We want to prove ˜W(y,t)=W(y,t).

Notefirst that ˜W(y,t) = supτJy,t(T, τ) = WA(y,t) holds if t > δ∗a, where WA(y,t) is the value function of the American average strike put option.

We consider the case wheret<ta.

Lemma 4.2. The functionW(yt)is nondecreasing with respect to y. Further for any y>0it is nonincreasing with respect to t.

Proof. Sincce the pay-offfunctionsξandξδ are nondecreasing functions of y, the function Jy,t(σ0, τ) is also nondecreasing with respect to y. Then W(yt) is also nondecreasing with respect to y. In order to prove the decreasing property with respect tot, we consider

V(SG,t) := sup

τ∈Tt,T

JS,G,t(σ0, τ).

(4.7) It holds

V(SG,t)= sup

τ∈Tt,T

E0[er(τ∧σ0−t){f(Sτ∧σ0,Gτ∧σ0)+δSσ01σ0<τ}|St=S,Gt=G].

Set Ht = tlogGt = t

0 logSuduas before. Then the above expectation is written by

E0[er(τ∧σ0−t){f(Sτ∧σ0,exp(Hτ∧σ0

τ∧σ0))+δSσ01σ0<τ}|St=S,Ht =tlogG].

Note that the law of (Su+h,Hu+h) with respect toP(ã|St+h = S,Ht+h = (t+ h) logG) is equal to the law of (Su,Hu) with respect to P(ã|St = S,Ht = tlogG). Then we have for anyh>0,

V(SG,t+h)

= sup

τ∈Tt,Th

E0[er(τ∧σ0−t){f(Sτ∧σ0,exp(Hτ∧σ0

τ∧σ0))+δSσ01σ0<τ}|St=S,Ht=tlogG]

V(SG,t).

This shows that ˜Vis nonincreasing with respect tot.

Now we transform the function ˜Vto the function oftandy=tlogS/G.

The function ˜V(S,Sey/t,t)S−1coincides with ˜W(y,t). We can show that it is nonincreasing with respect totfor anyy>0, by using an equation similar to (3.3).

Lemma 4.3. Assume0≤qr. For any t, it holdsW(yt)< ξδ(ey/t)if y0.

Proof. The function ˜W satisfies ξ(ey/t) ≤ W(yt) for any y,t. Set ˜E = {(y,t); ˜W(y,t)=ξ(ey/t)}. We can show that ˜Etis a upper half line [ ˜y∗(t),∞) where ˜y∗(t) > 0, similarly as the case of American option. We want to show ˜W(y,t)< ξδ(ey/t) holds for anyy>0. Fixedt, consider the function U(y) :=˜ W(yt)−ξ(ey/t). It satisfies the boundary condition (terminal

condition) ˜U(y∗) = U˜y( ˜y∗) = 0 since at the boundary point y = y˜∗ the contact property ˜Wy(y,t)= ∂∂y(ξ(ey/t)) holds valid. Further fory < y˜∗(t) it satisfies the second order ordinary differential equation

(L∗(t)−q) ˜U(y)=K(y), (4.8)

where

K(y)=−∂W˜

t (y,t)− {qrey/t}1{0<yy∗}.

The aboveKis positive because∂∂W˜t (y,t)≤0 by Lemma 4.3 andqrey/t <

−(rq)<0. The solution of the differential equation (4.8) is represented by

U(y)˜ =C1eλ1(yy˜∗)+C2eλ2(yy˜∗)+ 1 λ1−λ2

y y˜∗

K(z)(eλ1(yz)−eλ2(yz))dz, (4.9)

whereλ1>0≥λ2andeλ1(yy˜∗)andeλ2(yy˜∗)are fundamental solutions of the homogeneous equation (L∗(t)−q)U=0. The boundary conditions imply C1=C2=0. Therefore we get

U(y)˜ = 1 λ1−λ2

y

˜ y

K(z)(eλ1(yz)−eλ2(yz))dz, −∞<y<y˜∗.

Then ˜U(y)>0 holds for 0<y<y˜∗. Further we have U˜y(y)= 1

λ1−λ2

y

˜

yK(z)(λ1eλ1(yz)−λ2eλ2(yz))dz,

which is negative for any−∞<y<y˜∗. Therefore ˜Uis strictly decreasing.

Since ˜U(0) = δ, we have ˜U(y)< δ for any 0 < y < y˜∗, proving ˜W(y,t)<

ξδ(ey/t) for any 0<y<y˜∗.

Next, if y < 0, we have always ˜W(y,t) < δ = ξδ(ey/t). The proof is complete.

Proof of Theorem 4.1. Assume thatt>t∗δ. Then we have the inequalities W(y,t) ≤ WA(y,t) < ξδ(ey/t) for any t. ThereforeEA = φand we have W(y,t)=WA(y,t) for anyy. Assume next thattt∗δ. The value function W(y,t) of the game option is less than or equal to ˜W(y,t). Therefore the functionW(y,t) satisfies the inequalityW(y,t)< ξδ(ey/t) for anyy0. This proves thatEAt ={0}ift< δ∗. The proof is complete.

Một phần của tài liệu Stochastic processes and applications to mathematical finance (Trang 194 - 198)

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