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Estimation in Financial Models - RiskLab

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The function U :[0;T] IR d 7! IR have cont<strong>in</strong>uous partial derivatives @U<br />

@t , @U<br />

@x k<br />

and<br />

@2 U<br />

@x k @x i<br />

for k; i = 1; 2;:::;d. Dene a scalar process fY t ; 0 t T g by<br />

Y t = U(t; X t )=U(t; Xt 1 ;Xt 2 ;:::;Xt d ) w. p. 1. Then<br />

2<br />

3<br />

dY t = 4 @U dX<br />

@t + a k @U<br />

t + 1 mX dX<br />

Bt<br />

i;j B k;j @ 2 U<br />

5<br />

t dt<br />

@x k 2<br />

@x i @x k<br />

+<br />

mX<br />

dX<br />

j=1 i=1<br />

k=1<br />

Bt<br />

i;j @U<br />

dWt j ;<br />

@x i<br />

j=1 i;k=1<br />

w. p. 1 for 0 t T , where the partial derivatives are evaluated at (t; X t )<br />

and where we denote a k t = a k (t; !), B i;j<br />

t = B i;j (t; !).<br />

For an extension of the It^o formula to a wider class of non-smooth functions<br />

we refer to the recently published paper by Follmer, Protter and Shiryaev<br />

[26].<br />

77

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