DeepSVM: Learning Stochastic Volatility Models with Physics-Informed Deep Operator Networks

By Hakob Chakhoyan, Selim Kalici, Kieran A. Malandain

Published 2025-12-08

Everscope rating

1692.1

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: DeepSVM (Physics-Informed Deep Operator Network). Problem types: Optimization, Regression, PDE Solving / Operator Learning, Option Pricing, Risk Management.

arXiv:2512.07162 · Paper rankings

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