Pricing Discrete Lookback Options via Complex Fourier Series in Regime‐Switching Jump‐Diffusion Models

ABSTRACT This study presents an efficient pricing method for discrete lookback options under a regime‐switching jump‐diffusion model. By employing a complex Fourier series expansion, we derive semi‐closed‐form pricing formulas for both floating‐ and fixed‐strike options. Numerical experiments demonstrate that the proposed approach achieves a speedup of nearly two orders of magnitude over Monte Carlo simulations while maintaining comparable accuracy. In the tested settings, the complex Fourier series and Fourier cosine methods deliver comparable prices and runtimes. Sensitivity analysis further reveals that neglecting regime shifts or jump risks leads to substantial pricing biases. These findings suggest that the complex Fourier series method provides an efficient alternative for valuing discrete lookback options in the benchmark settings considered.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-09-20
DOI
https://doi.org/10.1002/mma.70977
Primary Topic
Stochastic processes and financial applications
Type
article
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Pricing Discrete Lookback Options via Complex Fourier Series in Regime‐Switching Jump‐Diffusion Models

Jiangyan Peng, Kefan Liu, Zixin Shu, Chenghao Xu
Mathematical Methods in the Applied Sciences
Stochastic processes and financial applications
article

Pricing Discrete Lookback Options via Complex Fourier Series in Regime‐Switching Jump‐Diffusion Models

Jiangyan Peng, Kefan Liu, Zixin Shu, Chenghao Xu
article en

Abstract

ABSTRACT This study presents an efficient pricing method for discrete lookback options under a regime‐switching jump‐diffusion model. By employing a complex Fourier series expansion, we derive semi‐closed‐form pricing formulas for both floating‐ and fixed‐strike options. Numerical experiments demonstrate that the proposed approach achieves a speedup of nearly two orders of magnitude over Monte Carlo simulations while maintaining comparable accuracy. In the tested settings, the complex Fourier series and Fourier cosine methods deliver comparable prices and runtimes. Sensitivity analysis further reveals that neglecting regime shifts or jump risks leads to substantial pricing biases. These findings suggest that the complex Fourier series method provides an efficient alternative for valuing discrete lookback options in the benchmark settings considered.

Mathematical Methods in the Applied Sciences
University of Electronic Science and Technology of China (CN)
Openalex Percentile: Top 7%
Stochastic processes and financial applications
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Pricing Discrete Lookback Options via Complex Fourier Series in Regime‐Switching Jump‐Diffusion Models — Jiangyan Peng, Kefan Liu, et al. · Mathematical Methods in the Applied Sciences (2026) | TGRS Research Map | TGRS