English

Unconditionally positivity-preserving explicit Euler-type schemes for a generalized Ait-Sahalia model

Numerical Analysis 2024-03-26 v2 Numerical Analysis

Abstract

The present work is devoted to strong approximations of a generalized A\"{i}t-Sahalia model arising from mathematical finance. The numerical study of the considered model faces essential difficulties caused by a drift that blows up at the origin, highly nonlinear drift and diffusion coefficients and positivity-preserving requirement. In this paper, a novel explicit Euler-type scheme is proposed, which is easily implementable and able to preserve positivity of the original model unconditionally, i.e., for any time step-size h>0h >0. A mean-square convergence rate of order 0.50.5 is also obtained for the proposed scheme in both non-critical and general critical cases. Our work is motivated by the need to justify the multi-level Monte Carlo (MLMC) simulations for the underlying model, where the rate of mean-square convergence is required and the preservation of positivity is desirable particularly for large discretization time steps. Numerical experiments are finally provided to confirm the theoretical findings.

Cite

@article{arxiv.2401.02596,
  title  = {Unconditionally positivity-preserving explicit Euler-type schemes for a generalized Ait-Sahalia model},
  author = {Ruishu Liu and Yulin Cao and Xiaojie Wang},
  journal= {arXiv preprint arXiv:2401.02596},
  year   = {2024}
}

Comments

25 pages. 4 figures

R2 v1 2026-06-28T14:09:13.889Z