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Network, market, and book-based systemic risk rankings

Michiel van de Leur (), Andre Lucas () and Norman J. Seeger

Journal of Banking & Finance, 2017, vol. 78, issue C, 84-90

Abstract: We investigate the information content of stock correlation based network measures for systemic risk rankings, such as SIFIRank (based on Google’s PageRank). Using European banking data, we show that SIFIRank is empirically equivalent to a ranking based on average pairwise stock correlations as developed in this paper. The correlation based network measures complement currently available alternative systemic risk ranking methods based on book or market values. A further analytical investigation shows that the value-added appears to be mainly attributable to pairwise cross-sectional heterogeneity rather than to more subtle network relations and feedback loops.

Keywords: Systemically important financial institutions (SIFI); European banking sector; Systemic risk ranking; Network based risk measures (search for similar items in EconPapers)
JEL-codes: G01 G21 (search for similar items in EconPapers)
Date: 2017
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Working Paper: Network, Market, and Book-Based Systemic Risk Rankings (2016) Downloads
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Handle: RePEc:eee:jbfina:v:78:y:2017:i:c:p:84-90