Cargando…
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,...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783339210682400768 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6042746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT liyongli networkbasedriskmeasurementsforinterbanksystems AT liuguanghe networkbasedriskmeasurementsforinterbanksystems AT pinpaolo networkbasedriskmeasurementsforinterbanksystems |