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The Role of Entropy in Estimating Financial Network Default Impact
Agents in financial networks can simultaneously be both creditors and debtors, creating the possibility that a default may cause a subsequent default cascade. Resolution of unpayable debts in these situations will have a distributional impact. Using a relative entropy-based measure of the distributi...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512889/ https://www.ncbi.nlm.nih.gov/pubmed/33265459 http://dx.doi.org/10.3390/e20050369 |
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author | Stutzer, Michael |
author_facet | Stutzer, Michael |
author_sort | Stutzer, Michael |
collection | PubMed |
description | Agents in financial networks can simultaneously be both creditors and debtors, creating the possibility that a default may cause a subsequent default cascade. Resolution of unpayable debts in these situations will have a distributional impact. Using a relative entropy-based measure of the distributional impact of the subsequent default resolution process, it is argued that minimum mutual information estimation of unknown cells in the matrix of funds originally owed by the network participants to each other does not introduce systematic biases when estimating that impact. |
format | Online Article Text |
id | pubmed-7512889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75128892020-11-09 The Role of Entropy in Estimating Financial Network Default Impact Stutzer, Michael Entropy (Basel) Article Agents in financial networks can simultaneously be both creditors and debtors, creating the possibility that a default may cause a subsequent default cascade. Resolution of unpayable debts in these situations will have a distributional impact. Using a relative entropy-based measure of the distributional impact of the subsequent default resolution process, it is argued that minimum mutual information estimation of unknown cells in the matrix of funds originally owed by the network participants to each other does not introduce systematic biases when estimating that impact. MDPI 2018-05-16 /pmc/articles/PMC7512889/ /pubmed/33265459 http://dx.doi.org/10.3390/e20050369 Text en © 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Stutzer, Michael The Role of Entropy in Estimating Financial Network Default Impact |
title | The Role of Entropy in Estimating Financial Network Default Impact |
title_full | The Role of Entropy in Estimating Financial Network Default Impact |
title_fullStr | The Role of Entropy in Estimating Financial Network Default Impact |
title_full_unstemmed | The Role of Entropy in Estimating Financial Network Default Impact |
title_short | The Role of Entropy in Estimating Financial Network Default Impact |
title_sort | role of entropy in estimating financial network default impact |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512889/ https://www.ncbi.nlm.nih.gov/pubmed/33265459 http://dx.doi.org/10.3390/e20050369 |
work_keys_str_mv | AT stutzermichael theroleofentropyinestimatingfinancialnetworkdefaultimpact AT stutzermichael roleofentropyinestimatingfinancialnetworkdefaultimpact |