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Network-based risk measurements for interbank systems

This paper focuses on evaluating the systemic risk in interbank networks, proposing a series of measurements: risk distance, risk degree and m-order risk degree. The proposed measurements are formally proven to have good basic and extended properties that are able to reflect the effect of bank size,...

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Detalles Bibliográficos
Autores principales: Li, Yongli, Liu, Guanghe, Pin, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042746/
https://www.ncbi.nlm.nih.gov/pubmed/30001356
http://dx.doi.org/10.1371/journal.pone.0200209
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author Li, Yongli
Liu, Guanghe
Pin, Paolo
author_facet Li, Yongli
Liu, Guanghe
Pin, Paolo
author_sort Li, Yongli
collection PubMed
description This paper focuses on evaluating the systemic risk in interbank networks, proposing a series of measurements: risk distance, risk degree and m-order risk degree. The proposed measurements are formally proven to have good basic and extended properties that are able to reflect the effect of bank size, liability size, liability distribution, and the discount factor on the default risk, not only of a single bank, but also of the entire system. Additionally, the abovementioned properties and the relationship between risk distance and financial contagion indicate the rationality embodied in the proposed measurements. This paper also provides some implications on how to decrease or prevent the systemic risk in an interbank system.
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spelling pubmed-60427462018-07-19 Network-based risk measurements for interbank systems Li, Yongli Liu, Guanghe Pin, Paolo PLoS One Research Article This paper focuses on evaluating the systemic risk in interbank networks, proposing a series of measurements: risk distance, risk degree and m-order risk degree. The proposed measurements are formally proven to have good basic and extended properties that are able to reflect the effect of bank size, liability size, liability distribution, and the discount factor on the default risk, not only of a single bank, but also of the entire system. Additionally, the abovementioned properties and the relationship between risk distance and financial contagion indicate the rationality embodied in the proposed measurements. This paper also provides some implications on how to decrease or prevent the systemic risk in an interbank system. Public Library of Science 2018-07-12 /pmc/articles/PMC6042746/ /pubmed/30001356 http://dx.doi.org/10.1371/journal.pone.0200209 Text en © 2018 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Li, Yongli
Liu, Guanghe
Pin, Paolo
Network-based risk measurements for interbank systems
title Network-based risk measurements for interbank systems
title_full Network-based risk measurements for interbank systems
title_fullStr Network-based risk measurements for interbank systems
title_full_unstemmed Network-based risk measurements for interbank systems
title_short Network-based risk measurements for interbank systems
title_sort network-based risk measurements for interbank systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042746/
https://www.ncbi.nlm.nih.gov/pubmed/30001356
http://dx.doi.org/10.1371/journal.pone.0200209
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