Reconstructing and stress testing credit networks

Amanah Ramadiah, Fabio Caccioli and Daniel Fricke ()

No 84, ESRB Working Paper Series from European Systemic Risk Board

Abstract: 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 ability to reproduce the actual credit networks. We then compare the different reconstruction methods in terms of their implied systemic risk levels. In most instances we find that the observed credit network significantly displays the highest systemic risk level. Lastly, we explore different policies to improve the robustness of the system. JEL Classification: G11, G20, G21, G28, G32

Keywords: aggregation level; bipartite credit network; network reconstruction; stress testing; systemic risk (search for similar items in EconPapers)
Date: 2018-09
New Economics Papers: this item is included in nep-ban and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Journal Article: Reconstructing and stress testing credit networks (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:srk:srkwps:201884

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