Approximations of small jumps of Lévy processes with a view towards simulation

Author:

Asmussen Søren,Rosiński Jan

Abstract

Let X = (X(t):t ≥ 0) be a Lévy process and X the compensated sum of jumps not exceeding ∊ in absolute value, σ2(∊) = var(X(1)). In simulation, X - X is easily generated as the sum of a Brownian term and a compound Poisson one, and we investigate here when X/σ(∊) can be approximated by another Brownian term. A necessary and sufficient condition in terms of σ(∊) is given, and it is shown that when the condition fails, the behaviour of X/σ(∊) can be quite intricate. This condition is also related to the decay of terms in series expansions. We further discuss error rates in terms of Berry-Esseen bounds and Edgeworth approximations.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference18 articles.

1. Normal and Poisson approximation of infinitely divisible distributions;Lorz;Statist.,1991

2. On simulation from infinitely divisible distributions

3. A Method for Simulating Stable Random Variables

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