2013
DOI: 10.1016/j.jfi.2013.08.001
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Measuring the systemic importance of interconnected banks

Abstract: We propose a method for measuring the systemic importance of interconnected banks. In order to capture contributions to system-wide risk, our measure accounts fully for the extent to which a bank propagates shocks across the system and is vulnerable to propagated shocks. An empirical implementation of this measure and a popular alternative reveals that interconnectedness is a key driver of systemic importance. That said, since the two measures incorporate the impact of interbank borrowing and lending on system… Show more

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Cited by 220 publications
(135 citation statements)
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“…Given the vectors l and b, the matrix X obtained by this method yields the maximum density possible, that is, the market will be as complete as possible in the sense of Allen and Gale (2000). To obtain the maximum entropy solution we follow Drehmann and Tarashev (2011) and employ the RAS algorithm, a technique of bi-proportional matrix balancing developed in the context of input-output analysis for the purpose 21 Equivalently, one can think of the process as stopping when |L−B| ≤ ε, where ε is an arbitrarily small threshold. 22 The generic element x ij of matrix X is a proxy -generated by the algorithm -of l ij .…”
Section: Matching Algorithmsmentioning
confidence: 99%
See 1 more Smart Citation
“…Given the vectors l and b, the matrix X obtained by this method yields the maximum density possible, that is, the market will be as complete as possible in the sense of Allen and Gale (2000). To obtain the maximum entropy solution we follow Drehmann and Tarashev (2011) and employ the RAS algorithm, a technique of bi-proportional matrix balancing developed in the context of input-output analysis for the purpose 21 Equivalently, one can think of the process as stopping when |L−B| ≤ ε, where ε is an arbitrarily small threshold. 22 The generic element x ij of matrix X is a proxy -generated by the algorithm -of l ij .…”
Section: Matching Algorithmsmentioning
confidence: 99%
“…For brevity we decided to report the analytical description of the ex ante metrics and their performance in the numerical analysis in Appendix D. In the main text we focus on one ex post metric, the Shapley value (see Shapley (1953), and Bluhm et al (2013) and Drehmann and Tarashev (2011) for applications to banking), and we comment on the comparison with other ex ante metrics. The Shapley value, borrowed from the literature on cooperative and non-cooperative game theory, provides the contribution (through permutations) of each bank to an aggregate value.…”
Section: Systemic Risk and Systemic Importancementioning
confidence: 99%
“…DSGE-models with financial frictions can suggest an optimal mix of macroprudential and monetary policies (e.g., Kannan, Rabanal, and Scott, 2009;Quint and Rabanal, 2013). Or some historically derived indicators of (excessive) procyclicality and systemic risks, e.g., a notion of a "credit gap," can suggest specific dynamic provisioning surcharges (Drehmann et al 2011). And a Pigouvian tax on SIFIs can be made to depend on measures reflecting the size of interconnectedness externalities (Kocherlakota, 2013).…”
Section: Use and Calibration Of Macroprudential Policiesmentioning
confidence: 99%
“…More recently, authors developed measures to identify SIFIs based on interbank positions (Drehmann and Tarashev, 2013), sovereign interlinkages (Correa et al, 2014), cross-border linkages (Minoiu et al, 2015) or network analysis (Cont et al, 2013;Hautsch et al, 2015;Betz et al, 2016). Also, this paper fits to research on regulatory incentives which highlight that financial stability can be significantly influenced by regulatory regimes (Weiβ et al, 2014), deposit insurance arrangements (Anginer et.…”
Section: Introductionmentioning
confidence: 95%