Scenario-Free Analysis of Financial Stability with Interacting Contagion Channels
J. Farmer,
Alissa Kleinnijenhuis,
Thom Wetzer and
Garbrand Wiersema
INET Oxford Working Papers from Institute for New Economic Thinking at the Oxford Martin School, University of Oxford
Abstract:
Currently financial stress test simulations that take into account multiple interacting contagion mechanisms are conditional on a specific, subjectively imposed stress-scenario. Eigenvalue-based approaches, in contrast, provide a scenario-independent measure of systemic stability, but only handle a single contagion mechanism. We develop an eigenvalue-based approach that gives the best of both worlds, allowing analysis of multiple, interacting contagion channels without the need to impose a subjective stress scenario. This allows us to demonstrate that the instability due to interacting channels can far exceed that of the sum of the individual channels acting alone. We derive an analytic formula in the limit of a large number of institutions that gives the instability threshold as a function of the relative size and intensity of contagion channels, providing valuable insights into financial stability whilst requiring very little data to be calibrated to real financial systems.
Keywords: Financial Stability; Systemic Risk; Interacting Contagion Channels; Financial Contagion; Multiplex Networks; Stress Test; Liquidity-Solvency Nexus (search for similar items in EconPapers)
JEL-codes: G01 G17 G18 G21 G23 G28 (search for similar items in EconPapers)
Pages: 104 pages
Date: 2020-01
New Economics Papers: this item is included in nep-cba, nep-hme, nep-net and nep-rmg
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https://www.inet.ox.ac.uk/files/SSRN-id3408533.pdf (application/pdf)
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Journal Article: Scenario-free analysis of financial stability with interacting contagion channels (2023) 
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Persistent link: https://EconPapers.repec.org/RePEc:amz:wpaper:2019-10
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