Weak convergence of stochastic integrals

被引:0
作者
Szyszkowski, I [1 ]
机构
[1] Rhodes Univ, Dept Math Stat, ZA-6140 Grahamstown, South Africa
关键词
weak convergence; stochastic integral; invariance principle; semimartingale;
D O I
暂无
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 W-n = {W-n(t): t=0} n=0, be a sequence of adapted cadlag stochastic processes such that for each n=0, W-n is a semimartingale, and (W-n,[W-n])-->(W-0,V-0) weakly, in the Skorokhod space D(R+;R-2) as n --> infinity where V-0 is some a.s. nondecreasing process. We show that Z(n)(.) = integral(0)(.)f(W-n(t-)) dW(n)(t) converges weakly in D(R+,R) to the process incf(W-0(t-)) dW(0)(t) + 2(-1) integral(0)(.)f'(W-0(t-)) d[W-0](t) - 2(-1) integral(0)(.)f'(W-0(t-)) dV(0)(t) for any analytic function f on R. Here [W-n] denotes the quadratic variation of the semimartingale W-n.
引用
收藏
页码:810 / 814
页数:5
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