Stochastic integration with respect to multifractional Brownian motion via tangent fractional Brownian motions

被引:10
作者
Lebovits, Joachim [1 ,2 ,3 ]
Vehel, Jacques Levy [1 ,2 ]
Herbin, Erick [1 ,2 ]
机构
[1] Ecole Cent Paris, INRIA Saclay, Regular Team, F-92295 Chatenay Malabry, France
[2] Ecole Cent Paris, MAS Lab, F-92295 Chatenay Malabry, France
[3] Univ Paris 06, CNRS, Lab Probabilites & Modeles Aleatoires, UMR 7599, F-75252 Paris 5, France
关键词
Fractional and multifractional Brownian motions; Gaussian processes; Convergence in law; White noise theory; Wick-Ito integral; Skorohod integral; Pathwise integral; WHITE-NOISE THEORY; CALCULUS; FORMULA;
D O I
10.1016/j.spa.2013.09.004
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
Stochastic integration w.r.t. fractional Brownian motion (fBm) has raised strong interest in recent years, motivated in particular by applications in finance and Internet traffic modelling. Since fBm is not a semi-martingale, stochastic integration requires specific developments. Multifractional Brownian motion (mBm) generalizes fBm by letting the local Holder exponent vary in time. This is useful in various areas, including financial modelling and biomedicine. The aim of this work is twofold: first, we prove that an mBm may be approximated in law by a sequence of "tangent" fBms. Second, using this approximation, we show how to construct stochastic integrals w.r.t. mBm by "transporting" corresponding integrals w.r.t. fBm. We illustrate our method on examples such as the Wick-Ito, Skorohod and pathwise integrals. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:678 / 708
页数:31
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