Reconstructing and stress testing credit networks

Amanah Ramadiah, Fabio Caccioli and Daniel Fricke ()

Journal of Economic Dynamics and Control, 2020, vol. 111, issue C

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 levels of systemic risk based on a standard model of price-mediated contagion. We find that the observed credit network displays relatively high levels of systemic risk compared with most reconstruction methods. Lastly, we explore whether different policies can improve the robustness of the system.

Keywords: Network reconstruction; Stress testing; Systemic risk; Bipartite credit network; Aggregation level (search for similar items in EconPapers)
JEL-codes: G11 G20 G21 G28 G32 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:dyncon:v:111:y:2020:i:c:s016518891930212x

DOI: 10.1016/j.jedc.2019.103817

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