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Multifractality of US Dollar/Deutsche Mark Exchange Rates - Studies2

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The measure in an interval is the product<br />

µ(η1...ηk) =M1(η1)...Mk(ηk)Ω(η1...ηk).<br />

Mj denotes the multiplier at the j th level <strong>of</strong> the cascade. The r.v. Ω is called the high-frequency<br />

component, and captures changes in total mass <strong>of</strong> the interval caused by stages beyond k. It can<br />

be shown that Ω has the same distribution for all levels <strong>of</strong> the cascade, and thus has the same<br />

distribution as the limiting mass in the interval [0, 1]. 30<br />

For convenience, denote<br />

V = − log b M ∼ N(λ, σ 2 ).<br />

CFM shows that the multifractal spectrum <strong>of</strong> a multiplicative cascade with lognormal multipliers<br />

is given by<br />

fθ(α) =1−<br />

(α − λ)2<br />

2σ2 . (11)<br />

log b<br />

We can generate a further restriction by requiring average conservation <strong>of</strong> mass, so that<br />

leading to<br />

1<br />

b = E(M) =E(e−V log b ),<br />

log b =<br />

2(λ − 1)<br />

σ2 .<br />

Substituting this into (11) eliminates both b and σ 2 , giving<br />

fθ(α) =1−<br />

(α − λ)2<br />

4(λ − 1) .<br />

We now have a single parameter expression for the multifractal spectrum <strong>of</strong> trading time; however,<br />

we directly estimate the price spectrum which is obtained by applying equation (10) :<br />

fP (α) =1−<br />

(α − Hλ)2<br />

4H 2 (λ − 1)<br />

Finally, using the substitution λ = α0/H allows us to write the spectrum in terms <strong>of</strong> α0 and H:<br />

fP (α) =1−<br />

(α − α0) 2<br />

4H(α0 − H) .<br />

30<br />

Convergence <strong>of</strong> mass to a random variable is guaranteed by the convergence <strong>of</strong> a positive martingale, or alternatively,<br />

by the ergodic theorem.<br />

22

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