Malliavin calculus for signatures with applications to finance

By Eduardo Abi Jaber, Clément Rey, Dimitri Sotnikov

Rating

1987
Battle Count: 63

Relevance

8/10
Highly relevant for quantitative trading desks dealing with exotic derivatives. The paper provides a unified, model-agnostic framework for computing Greeks of path-dependent options under signature volatility models, which can represent a wide class of Markovian and non-Markovian dynamics. The explicit algebraic formulas for Malliavin weights enable efficient Monte Carlo Greeks computation without model-specific derivations. The numerical comparison of different weight choices (Table 1) provides practical guidance for implementation. However, the approach requires expertise in signature computation and tensor algebra, and numerical stability issues must be carefully managed.

Implementation Complexity

9/10
Very high complexity. Requires deep understanding of: (1) path signatures and their algebraic properties (Chen's identity, shuffle product, tensor algebra), (2) Malliavin calculus (derivative, Skorokhod integral, Clark-Ocone formula, OU semigroup), (3) the switching operators Ψ and diamond product ⋄, (4) signature volatility model calibration, (5) Monte Carlo simulation with signature truncation. The numerical implementation of signature computation at high truncation orders (N=6M+1 for stable weights) is computationally demanding. The paper provides formulas but no code.

Reproducibility

3/5
The paper provides detailed mathematical derivations, explicit formulas, and numerical examples with specific parameter choices (e.g., σ=0.2·∅+0.1·(1+10+110+111), ρ=-1). However, no code repository is provided. The theoretical framework is fully self-contained with proofs, but numerical implementation requires significant expertise in tensor algebra and signature computation. The characteristic function method in Appendix B is noted as formal without rigorous justification.

About this paper

Methodology: Algebraic Malliavin calculus for path signatures. Problem types: Sensitivity analysis (Greeks computation), Option pricing, Path-dependent derivative valuation, Risk management, Density estimation, Monte Carlo variance reduction.

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