Approximation of the finite dimensional distributions of multiple fractional integrals
Xavier Bardina, Khalifa Es-Sebaiy (SAMOS, CES), Ciprian Tudor (LPP)

TL;DR
This paper develops an approximation method for finite-dimensional distributions of multiple fractional integrals, specifically for processes converging to multiple Wiener-Itô integrals with respect to fractional Brownian motion for Hurst parameter H > 1/2.
Contribution
It introduces a new family of continuous stochastic processes that approximate multiple fractional integrals in finite-dimensional distribution sense for H > 1/2.
Findings
Convergence of the constructed processes to the target integrals.
Applicability to a broad class of integrands.
Extension of approximation techniques to fractional Brownian motion.
Abstract
We construct a family of continuous stochastic processes that converges in the sense of finite dimensional distributions to a multiple Wiener-It\^o integral with respect to the fractional Brownian motion. We assume that and we prove our approximation result for the integrands in a rather general class.
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Taxonomy
TopicsStochastic processes and financial applications · Random Matrices and Applications · Fractional Differential Equations Solutions
