Exchange rate forecasting is an important issue in financial market analysis. Currency rates form a dynamic network of connections that can be efficiently modeled using graph neural networks (GNNs). The key mechanism of GNNs is the message passing between nodes, allowing for better modeling of...

This paper provides a descriptive analysis of the international network of syndicated loan lenders through an examination of its topology and structure using network theory measures. The author studies both the undirected and directed graphs, weighted and unweighted connections, as well as...