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DebtRank-transparency: Controlling systemic risk in financial networks

Nodes in a financial network, such as banks, cannot assess the true risks associated with lending to other nodes in the network, unless they have full information on the riskiness of all other nodes. These risks can be estimated by using network metrics (as DebtRank) of the interbank liability netwo...

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Autores principales: Thurner, Stefan, Poledna, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664900/
https://www.ncbi.nlm.nih.gov/pubmed/23712454
http://dx.doi.org/10.1038/srep01888
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author Thurner, Stefan
Poledna, Sebastian
author_facet Thurner, Stefan
Poledna, Sebastian
author_sort Thurner, Stefan
collection PubMed
description Nodes in a financial network, such as banks, cannot assess the true risks associated with lending to other nodes in the network, unless they have full information on the riskiness of all other nodes. These risks can be estimated by using network metrics (as DebtRank) of the interbank liability network. With a simple agent based model we show that systemic risk in financial networks can be drastically reduced by increasing transparency, i.e. making the DebtRank of individual banks visible to others, and by imposing a rule, that reduces interbank borrowing from systemically risky nodes. This scheme does not reduce the efficiency of the financial network, but fosters a more homogeneous risk-distribution within the system in a self-organized critical way. The reduction of systemic risk is due to a massive reduction of cascading failures in the transparent system. A regulation-policy implementation of the proposed scheme is discussed.
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spelling pubmed-36649002013-05-28 DebtRank-transparency: Controlling systemic risk in financial networks Thurner, Stefan Poledna, Sebastian Sci Rep Article Nodes in a financial network, such as banks, cannot assess the true risks associated with lending to other nodes in the network, unless they have full information on the riskiness of all other nodes. These risks can be estimated by using network metrics (as DebtRank) of the interbank liability network. With a simple agent based model we show that systemic risk in financial networks can be drastically reduced by increasing transparency, i.e. making the DebtRank of individual banks visible to others, and by imposing a rule, that reduces interbank borrowing from systemically risky nodes. This scheme does not reduce the efficiency of the financial network, but fosters a more homogeneous risk-distribution within the system in a self-organized critical way. The reduction of systemic risk is due to a massive reduction of cascading failures in the transparent system. A regulation-policy implementation of the proposed scheme is discussed. Nature Publishing Group 2013-05-28 /pmc/articles/PMC3664900/ /pubmed/23712454 http://dx.doi.org/10.1038/srep01888 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Thurner, Stefan
Poledna, Sebastian
DebtRank-transparency: Controlling systemic risk in financial networks
title DebtRank-transparency: Controlling systemic risk in financial networks
title_full DebtRank-transparency: Controlling systemic risk in financial networks
title_fullStr DebtRank-transparency: Controlling systemic risk in financial networks
title_full_unstemmed DebtRank-transparency: Controlling systemic risk in financial networks
title_short DebtRank-transparency: Controlling systemic risk in financial networks
title_sort debtrank-transparency: controlling systemic risk in financial networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3664900/
https://www.ncbi.nlm.nih.gov/pubmed/23712454
http://dx.doi.org/10.1038/srep01888
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