Remarks on the rate of strong convergence of Euler-Maruyama approximation for SDEs driven by rotation invariant stable processes

Abstract

In this paper, we consider Euler-Maruyama approximations for 1-dimensional stochastic differential equations (SDEs) driven by rotation invariant (i.e. symmetric) $\alpha$ stable processes and discuss their rate of strong convergence by numerical simulations. We also study the relationship between the convergence rate and the index $\alpha$ of rotation invariant stable process and/or the exponent $\gamma$ of the Hölder continuity of the diffusion coefficient.