Bank-firm credit network in Japan. An analysis of a bipartite network
Luca Marotta, Salvatore Miccich\`e, Yoshi Fujiwara, Hiroshi Iyetomi,, Hideaki Aoyama, Mauro Gallegati, Rosario N. Mantegna

TL;DR
This paper analyzes Japan's credit market as a bipartite network of banks and firms over 32 years, revealing persistent community structures and attribute over-expressions that shape credit relationships.
Contribution
It introduces a community detection method for bipartite networks and tracks the evolution of bank-firm communities over time in Japan.
Findings
Communities show persistent attribute over-expression over 32 years.
Credit market structure is influenced by bank type, firm location, and economic sector.
Community attributes evolve slowly, indicating stable underlying factors.
Abstract
We present an analysis of the credit market of Japan. The analysis is performed by investigating the bipartite network of banks and firms which is obtained by setting a link between a bank and a firm when a credit relationship is present in a given time window. In our investigation we focus on a community detection algorithm which is identifying communities composed by both banks and firms. We show that the clusters obtained by directly working on the bipartite network carry information about the networked nature of the Japanese credit market. Our analysis is performed for each calendar year during the time period from 1980 to 2011. Specifically, we obtain communities of banks and networks for each of the 32 investigated years, and we introduce a method to track the time evolution of these communities on a statistical basis. We then characterize communities by detecting the simultaneous…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
