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Stochastic differential equations driven by fractional Brownian motion with locally Lipschitz drift and their implicit Euler approximation

Part of: Stochastic analysis

Published online by Cambridge University Press:  02 September 2020

Shao-Qin Zhang  and
Chenggui Yuan
Shao-Qin Zhang
Affiliation:
School of Statistics and Mathematics, Central University of Finance and Economics, Beijing100081, China ([email protected])
Chenggui Yuan
Affiliation:
Department of Mathematics, Swansea University, Bay CampusSA1 8EN, UK ([email protected])
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Abstract

In this paper, we study a class of one-dimensional stochastic differential equations driven by fractional Brownian motion with Hurst parameter $ H \gt \frac{1}{2}$. The drift term of the equation is locally Lipschitz and unbounded in the neighbourhood of the origin. We show the existence, uniqueness and positivity of the solutions. The estimates of moments, including the negative power moments, are given. We also develop the implicit Euler scheme, proved that the scheme is positivity preserving and strong convergent, and obtain rate of convergence. Furthermore, by using Lamperti transformation, we show that our results can be applied to stochastic interest rate models such as mean-reverting stochastic volatility model and strongly nonlinear Aït-Sahalia type model.

Keywords

Locally Lipschitz driftfractional Brownian motionimplicit Euler schemeoptimal strong convergence rateinterest rate models

MSC classification

Primary: 60H35: Computational methods for stochastic equations
Secondary: 60H10: Stochastic ordinary differential equations
Type
Research Article
Information
Proceedings of the Royal Society of Edinburgh Section A: Mathematics , Volume 151 , Issue 4 , August 2021 , pp. 1278 - 1304
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Copyright
Copyright © The Author(s) 2020. Published by Cambridge University Press on behalf of The Royal Society of Edinburgh

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