Quantifying Credit Portfolio sensitivity to asset correlations with interpretable generative neural networks

Sergio Caprioli, Emanuele Cagliero, Riccardo Crupi

In this research, we propose a novel approach for the quantification of credit portfolio Value-at-Risk (VaR) sensitivity to asset correlations with the use of synthetic financial c…