# Superdiffusive limits for Bessel-driven stochastic kinetics

Source: [Superdiffusive limits for Bessel-driven stochastic kinetics](<https://www.sota2.com/research/paper/68fa5cf01e209131ce9d5b06>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T17:57:19.870Z

Authors: Miha Bre\\v{s}ar, Conrado da Costa, Aleksandar Mijatovi\\'c, Andrew Wade

Published: 2024-01-22T11:33:25.000Z

## Abstract

We prove anomalous-diffusion scaling for a one-dimensional stochastic kinetic dynamics, in which the stochastic drift is driven by an exogenous Bessel noise, and also includes endogenous volatility which is permitted to have arbitrary dependence with the exogenous noise. We identify the superdiffusive scaling exponent for the model, and prove a weak convergence result on the corresponding scale. We show how our result extends to admit, as exogenous noise processes, not only Bessel processes but more general processes satisfying certain asymptotic conditions.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2401.11863>)

[PDF](<https://arxiv.org/pdf/2401.11863.pdf>)
