Density Approximation of Affine Jump Diffusions via Closed-Form Moment Matching

Fuente: arXiv
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Auteurs principaux: Wu, Yan-Feng, Hu, Jian-Qiang
Format: Preprint
Publié: 2025
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author Wu, Yan-Feng
Hu, Jian-Qiang
author_facet Wu, Yan-Feng
Hu, Jian-Qiang
contents We develop a recursive approach for deriving closed-form solutions to both conditional and unconditional moments of affine jump diffusions with state-independent jump intensities. Using these moment solutions, we construct closed-form density approximations (up to a normalization constant) via moment matching for both conditional and unconditional distributions. Our framework enables important financial applications, including efficient option pricing and exact simulation for affine jump diffusions. Numerical experiments demonstrate the method's superior computational efficiency compared to existing simulation techniques, while preserving numerical precision.
format Preprint
id arxiv_https___arxiv_org_abs_2504_06942
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Density Approximation of Affine Jump Diffusions via Closed-Form Moment Matching
Wu, Yan-Feng
Hu, Jian-Qiang
Mathematical Finance
We develop a recursive approach for deriving closed-form solutions to both conditional and unconditional moments of affine jump diffusions with state-independent jump intensities. Using these moment solutions, we construct closed-form density approximations (up to a normalization constant) via moment matching for both conditional and unconditional distributions. Our framework enables important financial applications, including efficient option pricing and exact simulation for affine jump diffusions. Numerical experiments demonstrate the method's superior computational efficiency compared to existing simulation techniques, while preserving numerical precision.
title Density Approximation of Affine Jump Diffusions via Closed-Form Moment Matching
topic Mathematical Finance
url https://arxiv.org/abs/2504.06942