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ajdmom: A Python Package for Deriving Moment Formulas of Affine Jump Diffusion Processes

2024-11-10 · Yan-Feng Wu, Jian-Qiang Hu

We introduce ajdmom, a Python package designed for automatically deriving moment formulae for the well-established affine jump diffusion processes with state-independent jump intensities. ajdmom can produce explicit closed-form expressions for conditional and unconditional moments of any order, significantly enhancing the usability of these models. Additionally, ajdmom can compute partial derivatives of these moments with respect to the model parameters, offering a valuable tool for sensitivity analysis. The package's modular architecture makes it easy for adaptation and extension by researchers. ajdmom is open-source and readily available for installation from GitHub or the Python package index (PyPI).

📄 PDF Abstract BibTeX arXiv:2411.06484

Code (1)

xmlongan/ajdmom 공식 구현

Tasks

Sensitivity

Methods 이 논문이 사용한 방법론

Diffusion Diffusion models generate samples by gradually removing noise from a signal, and their training objective can be expressed as a reweighted variational lower-bound…

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parameter estimation