Research
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Symbol-based residual certification of reduced and neural surrogates for tempered-fractional CGMY pricing
Key Insights
- We certify reduced and neural approximations of European-put price trajectories under the Carr--Geman--Madan--Yor model by residual bounds for the spline Galerkin discretisation of the tempered-fracti.
Cite this synthesis
DOI: 10.48550/arXiv.2611.03463 ↗
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@misc{ acaciacompliance-research-symbol-based-residual-certification-of-reduced-and-neural-su,
title = { Symbol-based residual certification of reduced and neural surrogates for tempered-fractional CGMY pricing },
author = { Leszek },
year = { 2026 },
doi = { 10.48550/arXiv.2611.03463 },
url = { http://arxiv.org/abs/2611.03463v1 },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - Symbol-based residual certification of reduced and neural surrogates for tempered-fractional CGMY pricing AU - Leszek PY - 2026 DO - 10.48550/arXiv.2611.03463 UR - http://arxiv.org/abs/2611.03463v1 ER -
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Overview
We certify reduced and neural approximations of European-put price trajectories under the Carr--Geman--Madan--Yor model by residual bounds for the spline Galerkin discretisation of the tempered-fracti
Why It Matters
This item adds to the AML and compliance knowledge base. Practitioners can use it to stay current on Symbol-based residual certification of reduced and neural surrogates for tempered-fractional CGMY pricing, but should validate its claims against primary sources and more recent work before relying on it in production decisions.
Key Takeaways
- Understand how Symbol-based residual certification of reduced and neural surrogates for tempered-fractional CGMY pricing relates to AML and compliance workflows and controls.
- Assess evidence quality and freshness before acting on the findings.
- Use the tagged topics to connect this item to related content in the library.
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