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Lectures for Part II: Time Series Models in Finance

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8.1 Regular variation — univariate case (cont)<br />

Another <strong>for</strong>mulation (polar coord<strong>in</strong>ates):<br />

Def<strong>in</strong>e the ± 1 valued rv θ, P(θ = 1) = p, P(θ = −1) = 1− p = q.<br />

Then<br />

X is RV(α) if and only if<br />

or<br />

P(|<br />

X | t x, X/ | X | ∈ S)<br />

→<br />

P(|<br />

X | > t )<br />

> −α<br />

x<br />

P(<br />

θ∈<br />

S)<br />

P(|<br />

X| t x,X/| X| ∈• )<br />

→<br />

P(|<br />

X| > t )<br />

> −α<br />

v<br />

x<br />

P(<br />

θ∈•<br />

)<br />

(→ v vague convergence of measures on S 0 = {-1,1}).<br />

MaPhySto Workshop 9/04<br />

84

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