Conditional Forecasting of Margin Calls using Dynamic Graph Neural Networks

Matteo Citterio, Marco D'Errico, Gabriele Visentin

We introduce a novel Dynamic Graph Neural Network (DGNN) architecture for solving conditional $m$-steps ahead forecasting problems in temporal financial networks. The proposed DGNN…