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Estimation in Financial Models - RiskLab

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conditions for the cont<strong>in</strong>uity of the sample paths of X t and the denitions<br />

for a h and b h . Later we will refer to these conditions as Nelson-conditions.<br />

Now as an application of Theorem 1 Nelson [54] nds and analyzes the diffusion<br />

limit of GARCH(1,1)-type processes.<br />

The GARCH(1,1)-M process of Engle and Bollerslev (see [13]) is dened as<br />

where f" t gN(0; 1) iid.<br />

Y t = Y t,1 + c 2 t + t " t ; (2.1)<br />

2 t+1<br />

= + 2 t<br />

h<br />

+ "<br />

2<br />

t<br />

i<br />

; (2.2)<br />

Now our purpose is to reduce the length of the time <strong>in</strong>tervals more and more.<br />

The parameters , and of the system may depend on h. The drift term<br />

<strong>in</strong> (2.1) and the variance of " t are made proportional to h:<br />

Y kh = Y (k,1)h + h ckh 2 + kh " kh ; (2.3)<br />

<br />

(k+1)h 2 = h + kh<br />

2 h + <br />

h<br />

h "2 kh ; (2.4)<br />

where f" kh gN(0;h) iid and as for the <strong>in</strong>itial distribution (k =0)wehave<br />

P h (Y 0 ; 2 0) 2 A i = h (A)<br />

and (h) 2<br />

t are con-<br />

for all A 2 B(IR 2 ). The cont<strong>in</strong>uous time processes Y (h)<br />

t<br />

structed by<br />

Y (h)<br />

t Y kh and (h) 2<br />

t <br />

2<br />

kh<br />

for kh t 0:<br />

h#0<br />

11

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