In this paper we present a new approach to analyse the interconnectedness between a macro-level network and a local …-level network. Our methodology is developed on the Diebold and Yilmaz connectedness measure and it considers the presence of … entities within a global network which can influence other entities within their own local network but are not relevant enough …

I study the problem of regulating a network of interdependent financial institutions that is prone to contagion when …-improving interventions. While improving network transparency potentially reduces this uncertainty, it does not always lead to welfare …) susceptibility of the network to contagion, (ii) the cost of improving network transparency, (iii) the cost of regulating …

results, we propose a machine learning methodology that takes text data as input and outputs a data-implied firm network. …

We design a statistical model for measuring the homogeneity of a financial network that evolves over time. Our model …. Our analysis highlights an overall increasing trend for network homogeneity, whereby core banks have a tendency to …

network of large European banks. This multiplex network presents positive correlated multiplexity and a high similarity … banks to illustrate that both the methodology and the specific level of network aggregation matter in the determination of …

Financial networks are an important source of systemic risk, but often only partial network information is available …. In this paper, we use data on bank-firm credit relationships in Japan and conduct a horse race between different network … reconstruction methods in terms of their implied systemic risk levels. In most instances we find that the observed credit network …