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Functional Tensor Trains for High-Order Greeks and Exposure Tails of Multi-Asset Structured Products

Oct 30, 2026 Source ↗

Key Insights

Risk management of worst-of autocallables needs price sensitivities (Greeks) up to third order and the potential future exposure, a tail quantile of the note's future value.
In Monte Carlo, each order.

Market Microstructure Cross-Asset Trading

Cite this synthesis DOI: 10.48550/arXiv.2610.42119 ↗

Show formatted citation

@misc{ acaciamarkets-research-functional-tensor-trains-for-high-order-greeks-and-exposure,
  title = { Functional Tensor Trains for High-Order Greeks and Exposure Tails of Multi-Asset Structured Products },
  author = { Leszek },
  year = { 2026 },
  doi = { 10.48550/arXiv.2610.42119 },
  url = { http://arxiv.org/abs/2610.42119v1 },
  note = {Summarized and classified by AcaciaFund}
}

TY  - GEN
TI  - Functional Tensor Trains for High-Order Greeks and Exposure Tails of Multi-Asset Structured Products
AU  - Leszek
PY  - 2026
DO  - 10.48550/arXiv.2610.42119
UR  - http://arxiv.org/abs/2610.42119v1
ER  -

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Overview

Risk management of worst-of autocallables needs price sensitivities (Greeks) up to third order and the potential future exposure, a tail quantile of the note's future value. In Monte Carlo, each order

Key Topics

Quantitative Modeling: A theme covered by this item within the markets context.

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Article Metadata

Evergreen Synthesized

market-microstructure quantitative-modeling risk-management

Market Microstructure Cross-Asset Trading

SQI 0.750