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Research on Financial Systemic Risk in ASEAN Region

The research of financial systemic risk is an important issue, however the research on the financial systemic risk in ASEAN region lacks. This paper uses the minimum density method to calculate the interbank network of ASEAN countries and uses the node centrality to judge the systemically important...

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Detalles Bibliográficos
Autores principales: Fan, Hong, Liu, Renyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470220/
https://www.ncbi.nlm.nih.gov/pubmed/34573758
http://dx.doi.org/10.3390/e23091131
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author Fan, Hong
Liu, Renyun
author_facet Fan, Hong
Liu, Renyun
author_sort Fan, Hong
collection PubMed
description The research of financial systemic risk is an important issue, however the research on the financial systemic risk in ASEAN region lacks. This paper uses the minimum density method to calculate the interbank network of ASEAN countries and uses the node centrality to judge the systemically important banks of various countries. Then the DebtRank algorithm is constructed to calculate the systemic risk value based on the interbank network. By comparing the systemic risk values obtained through the initial impact on the system important banks and non-important banks, we find that the systemic risk tends to reach the peak in the case of the initial impact on the system important banks. Furthermore, it is found that countries with high intermediary centrality and closeness centrality have higher systemic risk. It suggests that the regulatory authorities should implement legal supervision, strict supervision, and comprehensive supervision for key risk areas and weak links.
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spelling pubmed-84702202021-09-27 Research on Financial Systemic Risk in ASEAN Region Fan, Hong Liu, Renyun Entropy (Basel) Article The research of financial systemic risk is an important issue, however the research on the financial systemic risk in ASEAN region lacks. This paper uses the minimum density method to calculate the interbank network of ASEAN countries and uses the node centrality to judge the systemically important banks of various countries. Then the DebtRank algorithm is constructed to calculate the systemic risk value based on the interbank network. By comparing the systemic risk values obtained through the initial impact on the system important banks and non-important banks, we find that the systemic risk tends to reach the peak in the case of the initial impact on the system important banks. Furthermore, it is found that countries with high intermediary centrality and closeness centrality have higher systemic risk. It suggests that the regulatory authorities should implement legal supervision, strict supervision, and comprehensive supervision for key risk areas and weak links. MDPI 2021-08-31 /pmc/articles/PMC8470220/ /pubmed/34573758 http://dx.doi.org/10.3390/e23091131 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fan, Hong
Liu, Renyun
Research on Financial Systemic Risk in ASEAN Region
title Research on Financial Systemic Risk in ASEAN Region
title_full Research on Financial Systemic Risk in ASEAN Region
title_fullStr Research on Financial Systemic Risk in ASEAN Region
title_full_unstemmed Research on Financial Systemic Risk in ASEAN Region
title_short Research on Financial Systemic Risk in ASEAN Region
title_sort research on financial systemic risk in asean region
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470220/
https://www.ncbi.nlm.nih.gov/pubmed/34573758
http://dx.doi.org/10.3390/e23091131
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