Singular Tracking of Fractional Brownian Motion under Proportional Costs

We study adapted finite-variation tracking of fractional Brownian motion under quadratic loss and proportional adjustment costs. For $H\\in(0,1)$, \\[V_\\lambda(T;a,b,\\sigma)\\underset{\\lambda\\downarrow0}{\\sim}\\kappa_HT a^{(1-H)/(1+H)}(\\lambda b)^{2H/(1+H)}\\sigma^{2/(1+H)},\\qquad\\lambda\\downarrow0.\\]The positive long-run cell value $\\kappa_H$ is unchanged by full past information. A bounded full-past reset correction yields finite-horizon bounds and continuity in $H$; $\\kappa_{1/2}=\\frac12(\\frac32)^{2/3}$. A coupling of local paths and filtrations gives the corresponding local limit, verified for Gaussian Volterra targets. Every asymptotically optimal control has the same leading tracking--variation cost split. Primal and dual bounds and a constructive positive-factor approximation for $H<1/2$ quantify the cell value, with an explicit relation between factor resolution and horizon length.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.22872310
Primary Topic
Stochastic processes and financial applications
Type
preprint
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preprint

Singular Tracking of Fractional Brownian Motion under Proportional Costs

Alexandre Autran
Zenodo (CERN European Organization for Nuclear Research)
Stochastic processes and financial applications
preprint

Singular Tracking of Fractional Brownian Motion under Proportional Costs

Alexandre Autran
preprint en

Abstract

We study adapted finite-variation tracking of fractional Brownian motion under quadratic loss and proportional adjustment costs. For $H\in(0,1)$, \[V_\lambda(T;a,b,\sigma)\underset{\lambda\downarrow0}{\sim}\kappa_HT a^{(1-H)/(1+H)}(\lambda b)^{2H/(1+H)}\sigma^{2/(1+H)},\qquad\lambda\downarrow0.\]The positive long-run cell value $\kappa_H$ is unchanged by full past information. A bounded full-past reset correction yields finite-horizon bounds and continuity in $H$; $\kappa_{1/2}=\frac12(\frac32)^{2/3}$. A coupling of local paths and filtrations gives the corresponding local limit, verified for Gaussian Volterra targets. Every asymptotically optimal control has the same leading tracking--variation cost split. Primal and dual bounds and a constructive positive-factor approximation for $H<1/2$ quantify the cell value, with an explicit relation between factor resolution and horizon length.

Zenodo (CERN European Organization for Nuclear Research)
École Normale Supérieure de Rennes (FR)
Stochastic processes and financial applications
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