A Path-Dependent PDE Solver Based on Signature Kernels

By Alexandre Pannier, Cristopher Salvi

Rating

1751
Battle Count: 94

Relevance

8/10
Highly relevant for option pricing and risk management under rough volatility models

Implementation Complexity

7/10
Requires understanding of signature kernels and PDEs, but code is provided

Reproducibility

4/5
Code is open-sourced on GitHub, mathematical proofs and algorithms are well-documented

About this paper

Methodology: Signature Kernel PDE Solver. Problem types: Path-Dependent PDE Solving, Option Pricing, Rough Volatility Modeling.

The interactive Everscope explorer (charts, battles, favorites) loads below.