Numerical Method for Highly Non-linear Mean-reverting Asset Price Model with CEV-type Process
Risk Management
2022-05-03 v1
Abstract
It is well documented from various empirical studies that the volatility process of an asset price dynamics is stochastic. This phenomenon called for a new approach to describing the random evolution of volatility through time with stochastic models. In this paper, we propose a mean-reverting theta-rho model for asset price dynamics where the volatility diffusion factor of this model follows a highly non-linear CEV-type process. Since this model lacks a closed-form formula, we construct a new truncated EM method to study it numerically under the Khasminskii-type condition. We justify that the truncated EM solutions can be used to evaluate a path-dependent financial product.
Cite
@article{arxiv.2205.00634,
title = {Numerical Method for Highly Non-linear Mean-reverting Asset Price Model with CEV-type Process},
author = {Emmanuel Coffie},
journal= {arXiv preprint arXiv:2205.00634},
year = {2022}
}