Numerical Valuation of European Options Under Two-Asset Infinite-Activity Exponential Lévy Models

We propose a numerical method for the valuation of European-style options under two-asset infinite-activity exponential Lévy models. Our method extends the effective approach developed by Wang et al. [Robust numerical valuation of European and American options under the CGMY process. Journal of Computational Finance, 2007;10(4):31–69] for the 1-dimensional case to the 2-dimensional setting and is applicable for general Lévy measures under mild assumptions. A tailored discretization of the non-local integral term is developed, which can be efficiently evaluated by means of the fast Fourier transform. For the temporal discretization, the semi-Lagrangian θ-method is employed in a convenient splitting fashion, where the diffusion term is treated implicitly and the integral term is handled explicitly by a fixed-point iteration. Numerical experiments for put-on-the-average options under Normal Tempered Stable dynamics reveal a favourable convergence behaviour of our method whenever the exponential Lévy process has finite-variation. In addition, a relevant theoretical convergence result for the discretization of the integral term is proved.

Authors

Institutions

Publication Details

Journal
Applied Mathematical Finance
Published
2026-08-24
DOI
https://doi.org/10.1080/1350486x.2026.2715128
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Valuation of European Options Under Two-Asset Infinite-Activity Exponential Lévy Models

Michèle Vanmaele, Karel J. in ’t Hout, Fred Espen Benth, Massimiliano Moda
Applied Mathematical Finance
Stochastic processes and financial applications
article

Numerical Valuation of European Options Under Two-Asset Infinite-Activity Exponential Lévy Models

Michèle Vanmaele, Karel J. in ’t Hout, Fred Espen Benth, Massimiliano Moda
article en

Abstract

We propose a numerical method for the valuation of European-style options under two-asset infinite-activity exponential Lévy models. Our method extends the effective approach developed by Wang et al. [Robust numerical valuation of European and American options under the CGMY process. Journal of Computational Finance, 2007;10(4):31–69] for the 1-dimensional case to the 2-dimensional setting and is applicable for general Lévy measures under mild assumptions. A tailored discretization of the non-local integral term is developed, which can be efficiently evaluated by means of the fast Fourier transform. For the temporal discretization, the semi-Lagrangian θ-method is employed in a convenient splitting fashion, where the diffusion term is treated implicitly and the integral term is handled explicitly by a fixed-point iteration. Numerical experiments for put-on-the-average options under Normal Tempered Stable dynamics reveal a favourable convergence behaviour of our method whenever the exponential Lévy process has finite-variation. In addition, a relevant theoretical convergence result for the discretization of the integral term is proved.

Applied Mathematical Finance
University of Antwerp (BE), BI Norwegian Business School (NO), Ghent University Hospital (BE)
Openalex Percentile: Top 98%
Stochastic processes and financial applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Numerical Valuation of European Options Under Two-Asset Infinite-Activity Exponential Lévy Models — Michèle Vanmaele, Karel J. in ’t Hout, et al. · Applied Mathematical Finance (2026) | TGRS Research Map | TGRS