Analysis of the Global Banking Network by Random Matrix Theory

Since the financial crisis of 2008, network analysis systems has attracted a lot attention. In this paper, we analyze global banking via method Random Matrix Theory. By applying that on cross border lending network, it is shown while connectivity between different parts risen and profile transactions diversified, role hubs remains important in weighted perspective. The largest eigenvalue transaction matrix as leading mode system shows sharp growth since 2002. As well, observed its diminished 2008. This indicates 2008 left long-lasting footprint system. Analyzing mean value participation ratio reveals fact countries forming small modes, increased our final analysis, provide snapshots over time. We observe share total not equal to their shaping eigenvector eigenvalue. 2018 for example, United Kingdom leads transactions, States eigenvector. proposed technique paper can be useful analyzing types interaction networks countries.