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Quantitative Finance · Begrippenlijst

Wat is Lévy measure, Lévy triplet, characteristic exponent?

Ook bekend als: Lévy measure · Lévy triplet · characteristic exponent

Definition 6.6 Quantitative Methods · Hoofdstuk 6 — Jump Processes

The Lévy measure of a Lévy process is ν(A)=E[#{s≤1:ΔXs∈A}]\nu(A) = \E[\#\{s \le 1 : \Delta X_s \in A\}], the expected number of jumps per unit time with size in AA (0∉Aˉ0 \notin \bar A); it satisfies ∫min⁡(1,x2) ν(dx)<∞\int\min(1, x^2)\,\nu(dx) < \infty. The Lévy triplet is (σ2,ν,γ)(\sigma^2, \nu, \gamma): Gaussian variance, Lévy measure and drift. The characteristic exponent is the function ψ\psi with φXt(u)=etψ(u)\varphi_{X_t}(u) = e^{t\psi(u)}.

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