English

Higher-order ATM asymptotics for the CGMY model via the characteristic function

Pricing of Securities 2026-04-16 v1 Probability

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 Y(1,2)Y\in(1,2). The Lipton--Lewis formula expresses the normalized ATM call price, denoted c(t,0)c(t,0), in terms of the characteristic exponent, which, upon rescaling at the rate t1/Yt^{-1/Y} from the YY-stable domain of attraction, yields c(t,0)=d1t1/Y+d2t+o(t)c(t,0) = d_{1} t^{1/Y} + d_{2} t + o(t) as t0t\downarrow 0. The first-order coefficient d1d_{1} is the known stable limit from the domain of attraction of a symmetric YY-stable law, and d2d_{2} 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

R2 v1 2026-07-01T12:10:38.415Z