1 citations · 1 across the 2 of their papers we have counts for
2 papers
q-fin.CP2024
On Deep Learning for computing the Dynamic Initial Margin and Margin Value Adjustment
Joel P. Villarino, Álvaro Leitao
The present work addresses the challenge of training neural networks for Dynamic Initial Margin (DIM) computation in counterparty credit risk, a task traditionally burdened by the…
q-fin.CP2022★ 1 cited
Boundary-safe PINNs extension: Application to non-linear parabolic PDEs in counterparty credit risk
Joel P. Villarino, Álvaro Leitao, José A. García-Rodríguez
The goal of this work is to develop deep learning numerical methods for solving option XVA pricing problems given by non-linear PDE models. A novel strategy for the treatment of th…