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price<br />
2.5<br />
2<br />
1.5<br />
1<br />
0.5<br />
0<br />
94 95 96 97 98 99 100 101 102 103<br />
Figure 3: The price of the down-<strong>and</strong>-out call option for dividends D1 = D2 = 1 paid<br />
at times τ1 = T /3 <strong>and</strong> τ2 = 2T/3, computed by using the approximative numerical<br />
integration method (solid) <strong>and</strong> the Crank-Nicolson scheme (dashed) with very small step<br />
sizes.<br />
<strong>and</strong> so it only remains to compute P(t,St;K,σ,τ1,τ2) by evaluating one-dimensional<br />
integrals of the function P(τ1,g1(·);K adj<br />
1 ,σ adj<br />
1 ).<br />
For N > 2, we just continue this procedure recursively: at the kth step, k =<br />
S<br />
1,... ,N, compute an approximation of the time-τN−k price P(τN−k,St;K,σ,τN−k+1,... ,τN)<br />
by integrating P(τN−(k−1),g N−(k−1)(·);K adj<br />
k−1 ,σadj<br />
k−1 ). By convention, Kadj 0<br />
σ adj<br />
0 = σ, <strong>and</strong> τ0 = 0. Adjust the strike to<br />
K adj<br />
k := K +<br />
N�<br />
j=k+1<br />
<strong>and</strong> choose the adjusted volatility σ adj<br />
k such that<br />
<strong>and</strong> iterate.<br />
e r(T −τj) Dj = K adj<br />
k−1 + er(T −τk+1) Dk+1<br />
P(τN−k,St;K,σ,τN−k+1,... ,τN) = P(τN−k,St;K adj<br />
k ,σadj<br />
k ),<br />
= K,<br />
Figure 3 compares the price computed with the described approximative method<br />
to the result from the Crank-Nicolson scheme with very small step sizes. We consider<br />
the case N = 2 with dividends D1 = D2 = 1 paid at times τ1 = T/3 <strong>and</strong> τ2 = 2T/3.<br />
The approximation works nicely — relative errors are in the order of 0.1%-1%,<br />
10