Higher-order ATM asymptotics for the CGMY model via the characteristic function
Abstract
Using only the characteristic function, we derive short-time at-the-money (ATM) call-price asymptotics for the exponential CGMY model with activity parameter . The Lipton--Lewis formula expresses the normalized ATM call price, denoted , in terms of the characteristic exponent, which, upon rescaling at the rate from the -stable domain of attraction, yields as . The first-order coefficient is the known stable limit from the domain of attraction of a symmetric -stable law, and is given by an explicit integral involving the characteristic exponent and the limiting stable exponent. We then extract closed-form higher-order coefficients by keeping the full Lipton--Lewis integrand intact and introducing a dynamic cutoff that partitions the domain into inner, core, and tail regions, establishing the expansion with controlled remainder. All coefficients are verified numerically against existing closed-form expressions where available.
Keywords
Cite
@article{arxiv.2604.13798,
title = {Higher-order ATM asymptotics for the CGMY model via the characteristic function},
author = {Allen Hoffmeyer and Christian Houdré},
journal= {arXiv preprint arXiv:2604.13798},
year = {2026}
}
Comments
30 pages, 2 figures