Using large exposure data to gauge the systemic importance of ssm significant institutions

G Covi, C Kok, B Meller - Macroprudential Bulletin, 2018 - ideas.repec.org
G Covi, C Kok, B Meller
Macroprudential Bulletin, 2018ideas.repec.org
This article presents stylised facts from the euro area network of large exposures and
derives model-based interconnectedness measures of SSM significant institutions. The
article has three main findings. First, the interbank network is relatively sparse and suggests
a core-periphery network structure. Second, the more complex network measures on
average correlate highly with the more simple size-based interconnectedness indicators,
constructed following the EBA guidelines on the calibration of O-SII buffers. Third, there is …
This article presents stylised facts from the euro area network of large exposures and derives model-based interconnectedness measures of SSM significant institutions. The article has three main findings. First, the interbank network is relatively sparse and suggests a core-periphery network structure. Second, the more complex network measures on average correlate highly with the more simple size-based interconnectedness indicators, constructed following the EBA guidelines on the calibration of O-SII buffers. Third, there is nevertheless value for policymakers to take into account network-based measures in addition to the size-based interconnectedness indicators, as for some individual banks those measures can deviate considerably. JEL Classification: C63, G01, G21, G28
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