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

被引:190
作者
Asmussen, S
Rosinski, J
机构
[1] Univ Lund, Ctr Math Sci, S-22100 Lund, Sweden
[2] Univ Tennessee, Dept Math, Knoxville, TN 37996 USA
关键词
Berry-Esseen theorem; Brownian motion; cumulants; Edgeworth expansion; functional central limit theorem; Gamma process; infinitely divisible distribution; normal inverse Gaussian process; stable process;
D O I
10.1017/s0021900200019987
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Let X = (X(t) : t greater than or equal to 0) be a Levy process and X-epsilon the compensated sum of jumps not exceeding epsilon in absolute value, sigma (2)(epsilon) = var(X-epsilon(1)). In simulation, X - X-epsilon is easily generated as the sum of a Brownian term and a compound Poisson one, and we investigate here when X-epsilon / sigma (epsilon) can be approximated by another Brownian term. A necessary and sufficient condition in terms of sigma (epsilon) is given, and it is shown that when the condition fails, the behaviour of X-epsilon / sigma (epsilon) 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.
引用
收藏
页码:482 / 493
页数:12
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