Lectures for Part II: Time Series Models in Finance
Lectures for Part II: Time Series Models in Finance
Lectures for Part II: Time Series Models in Finance
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8.2 Regular variation — multivariate case (cont)<br />
Examples:<br />
1. If X 1 > 0 and X 2 > 0 are iid RV(α), then X= (X 1 , X 2 ) is<br />
multivariate regularly vary<strong>in</strong>g with <strong>in</strong>dex α and spectral distribution<br />
P( θ =(0,1) ) = P( θ =(1,0) ) =.5 (mass on axes).<br />
Interpretation: Unlikely that X 1 and X 2 are very large at the same<br />
time.<br />
Figure: plot of<br />
(X t1 ,X t2 ) <strong>for</strong> realization<br />
of 10,000.<br />
x_2<br />
0 10 20 30 40<br />
MaPhySto Workshop 9/04<br />
0 5 10 15 20<br />
x_1<br />
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