Abstract

We derive Edgeworth-type expansions for Skorohod and Itô integrals with respect to Brownian motion, based on cumulant operators defined by the Malliavin calculus. As a consequence we obtain Stein approximation bounds for stochastic integrals, which apply to SDE solutions and to multiple stochastic integrals.

Highlights

  • Classical Edgeworth series around the Gaussian cumulative distribution function Φ(x) take the formΦ(x) + c1φ(x)H1(x) + · · · + cmφ(x)Hm(x) + · · ·, where φ(x), x ∈ R, is the standard Gaussian density, Hk(x) is the Hermite polynomial of degree k ≥ 1, and ck is a coefficient depending on the sequence of cumulantsn≥1 of a random variable F, cf. Chapter 5 of [6] and § A.4 of [11]

  • Edgeworth expansions are used in particular as asymptotic expansions for the cumulative distribution function P (F ≤ x) (or, in more general forms, as asymptotic expansions for expectations of the type E[h(F )], where h is some test function - see [6]), when F is centered with unit variance E[F 2] = 1, for example when F is a renormalized sum of independent random variables that can be approximated by the central limit theorem, cf

  • In the proposition we extend (2.1) into an expansion of all orders that will be applied to Stein approximation

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Summary

Introduction

Classical Edgeworth series around the Gaussian cumulative distribution function Φ(x) take the form. Have been obtained by the Malliavin calculus in [8], [2], [3], written here for F a centered random variable with unit variance, where Γn+1 is a cumulant type operator on the Wiener space satisfying the relation n!E[ΓnF ] = κn+1, n ∈ N, cf [10]. This approach refines and extends the application of the Malliavin calculus to Stein approximation, Berry-Esseen bounds and the fourth moment theorem initiated in [9], see [12], and [7] for a review.

Edgeworth type expansions
Stein approximation
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