Asymptotic expansion and estimates of Wiener functionals

被引:0
作者
Yoshida, Nakahiro [1 ,2 ,3 ]
机构
[1] Univ Tokyo, Grad Sch Math Sci, 3-8-1 Komaba,Meguro Ku, Tokyo 1538914, Japan
[2] Japan Sci & Technol Agcy, CREST, Tokyo, Japan
[3] Inst Stat Math, Tokyo, Japan
基金
日本学术振兴会; 日本科学技术振兴机构;
关键词
Asymptotic expansion; Variation; Mixed normal distribution; Malliavin calculus; Random symbol; MALLIAVIN CALCULUS; EDGEWORTH EXPANSION; RANDOM-VARIABLES; LIMIT-THEOREMS; DISTRIBUTIONS; CONVERGENCE; DIFFUSIONS; SEQUENCES;
D O I
10.1016/j.spa.2022.10.003
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
Asymptotic expansion of a variation with anticipative weights is derived by the theory of asymptotic expansion for Skorohod integrals having a mixed normal limit. The expansion formula is expressed with the quasi-torsion, quasi-tangent and other random symbols. To specify these random symbols, it is necessary to classify the level of the effect of each term appearing in the stochastic expansion of the variable in question. To solve this problem, we consider a class L of certain sequences (In)n is an element of N of Wiener functionals and give a systematic way of estimation of the order of (In)n is an element of N. Based on this method, we introduce a notion of exponent of the sequence (In)n is an element of N, and investigate the stability and contraction effect of the operators Dun and D on L, where un is the integrand of a Skorohod integral. After constructed these machineries, we derive asymptotic expansion of the variation having anticipative weights. An application to robust volatility estimation is mentioned.(c) 2022 Published by Elsevier B.V.
引用
收藏
页码:176 / 248
页数:73
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