A probabilistic model for longitudinal network data, with application to interbank transactions.
A probabilistic model for longitudinal network data, with application to interbank transactions.
A probabilistic model for longitudinal network data, with application to interbank transactions.
This paper reviews the positive aspects as well as the negative aspects of interconnectedness. It also discusses briefly the important question of the optimal level of connectivity in a financial system. The paper also proposes the use of novel statistical inferential methods for complex networks to address comprehensively the study of interconnectedness in financial systems.
We are able to identify the most important institutions in the whole structure in term of their connectedness, the most relevant layer (in structural terms) of the multiplex and the community structure of the Mexican banking system which can be seen as a generalization of the well-known Core-Periphery model.