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Identifying Systemically Important Companies by Using the Credit Network of an Entire Nation

The notions of systemic importance and systemic risk of financial institutions are closely related to the topology of financial liability networks. In this work, we reconstruct and analyze the financial liability network of an entire economy using data of 50,159 firms and banks. Our analysis contain...

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Autores principales: Poledna, Sebastian, Hinteregger, Abraham, Thurner, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512354/
https://www.ncbi.nlm.nih.gov/pubmed/33265880
http://dx.doi.org/10.3390/e20100792
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author Poledna, Sebastian
Hinteregger, Abraham
Thurner, Stefan
author_facet Poledna, Sebastian
Hinteregger, Abraham
Thurner, Stefan
author_sort Poledna, Sebastian
collection PubMed
description The notions of systemic importance and systemic risk of financial institutions are closely related to the topology of financial liability networks. In this work, we reconstruct and analyze the financial liability network of an entire economy using data of 50,159 firms and banks. Our analysis contains 80.2% of the total liabilities of firms towards banks and all interbank liabilities in the Austrian banking system. The combination of firm-bank networks and interbank networks allows us to extend the concept of systemic risk to the real economy. In particular, the systemic importance of individual companies can be assessed, and for the first time, the financial ties between the financial and the real economy become explicitly visible. We find that firms contribute to systemic risk in similar ways as banks do. We identify a set of mid-sized companies that carry substantial systemic risk. Their default would affect up to 40% of the Austrian financial market. We find that all firms together create more systemic risk than the entire financial sector. In 2008, the total systemic risk of the Austrian interbank network amounted to only 29% of the total systemic risk of the entire financial network consisting of firms and banks. The work demonstrates that the notions of systemically important financial institutions (SIFIs) can be directly extended to firms.
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spelling pubmed-75123542020-11-09 Identifying Systemically Important Companies by Using the Credit Network of an Entire Nation Poledna, Sebastian Hinteregger, Abraham Thurner, Stefan Entropy (Basel) Article The notions of systemic importance and systemic risk of financial institutions are closely related to the topology of financial liability networks. In this work, we reconstruct and analyze the financial liability network of an entire economy using data of 50,159 firms and banks. Our analysis contains 80.2% of the total liabilities of firms towards banks and all interbank liabilities in the Austrian banking system. The combination of firm-bank networks and interbank networks allows us to extend the concept of systemic risk to the real economy. In particular, the systemic importance of individual companies can be assessed, and for the first time, the financial ties between the financial and the real economy become explicitly visible. We find that firms contribute to systemic risk in similar ways as banks do. We identify a set of mid-sized companies that carry substantial systemic risk. Their default would affect up to 40% of the Austrian financial market. We find that all firms together create more systemic risk than the entire financial sector. In 2008, the total systemic risk of the Austrian interbank network amounted to only 29% of the total systemic risk of the entire financial network consisting of firms and banks. The work demonstrates that the notions of systemically important financial institutions (SIFIs) can be directly extended to firms. MDPI 2018-10-16 /pmc/articles/PMC7512354/ /pubmed/33265880 http://dx.doi.org/10.3390/e20100792 Text en © 2018 by the authors. 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
Poledna, Sebastian
Hinteregger, Abraham
Thurner, Stefan
Identifying Systemically Important Companies by Using the Credit Network of an Entire Nation
title Identifying Systemically Important Companies by Using the Credit Network of an Entire Nation
title_full Identifying Systemically Important Companies by Using the Credit Network of an Entire Nation
title_fullStr Identifying Systemically Important Companies by Using the Credit Network of an Entire Nation
title_full_unstemmed Identifying Systemically Important Companies by Using the Credit Network of an Entire Nation
title_short Identifying Systemically Important Companies by Using the Credit Network of an Entire Nation
title_sort identifying systemically important companies by using the credit network of an entire nation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512354/
https://www.ncbi.nlm.nih.gov/pubmed/33265880
http://dx.doi.org/10.3390/e20100792
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