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Exploring the Systemic Risk of Domestic Banks with ΔCoVaR and Elastic-Net
We analyze the systemic risk of Italian banks with the ΔCoVaR from a bivariate normal GARCH model. The results show that it is a good measure of systemic risk and is applicable to the ranking of Italian other systemically important institutions. Using an elastic-net approach, we identify the balance...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510882/ http://dx.doi.org/10.1007/s10693-021-00366-9 |
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author | Bianchi, Michele Leonardo Sorrentino, Alberto Maria |
author_facet | Bianchi, Michele Leonardo Sorrentino, Alberto Maria |
author_sort | Bianchi, Michele Leonardo |
collection | PubMed |
description | We analyze the systemic risk of Italian banks with the ΔCoVaR from a bivariate normal GARCH model. The results show that it is a good measure of systemic risk and is applicable to the ranking of Italian other systemically important institutions. Using an elastic-net approach, we identify the balance sheet and market variables that explain the ΔCoVaR of Italian banks. The analysis confirms that these variables are key determinants of systemic importance and highlights how higher capitalization is beneficial to tackling systemic risk. And, we detect a connection between ΔCoVaR and some variables for trading and investment banking. |
format | Online Article Text |
id | pubmed-8510882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-85108822021-10-13 Exploring the Systemic Risk of Domestic Banks with ΔCoVaR and Elastic-Net Bianchi, Michele Leonardo Sorrentino, Alberto Maria J Financ Serv Res Article We analyze the systemic risk of Italian banks with the ΔCoVaR from a bivariate normal GARCH model. The results show that it is a good measure of systemic risk and is applicable to the ranking of Italian other systemically important institutions. Using an elastic-net approach, we identify the balance sheet and market variables that explain the ΔCoVaR of Italian banks. The analysis confirms that these variables are key determinants of systemic importance and highlights how higher capitalization is beneficial to tackling systemic risk. And, we detect a connection between ΔCoVaR and some variables for trading and investment banking. Springer US 2021-10-13 2022 /pmc/articles/PMC8510882/ http://dx.doi.org/10.1007/s10693-021-00366-9 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Bianchi, Michele Leonardo Sorrentino, Alberto Maria Exploring the Systemic Risk of Domestic Banks with ΔCoVaR and Elastic-Net |
title | Exploring the Systemic Risk of Domestic Banks with ΔCoVaR and Elastic-Net |
title_full | Exploring the Systemic Risk of Domestic Banks with ΔCoVaR and Elastic-Net |
title_fullStr | Exploring the Systemic Risk of Domestic Banks with ΔCoVaR and Elastic-Net |
title_full_unstemmed | Exploring the Systemic Risk of Domestic Banks with ΔCoVaR and Elastic-Net |
title_short | Exploring the Systemic Risk of Domestic Banks with ΔCoVaR and Elastic-Net |
title_sort | exploring the systemic risk of domestic banks with δcovar and elastic-net |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510882/ http://dx.doi.org/10.1007/s10693-021-00366-9 |
work_keys_str_mv | AT bianchimicheleleonardo exploringthesystemicriskofdomesticbankswithdcovarandelasticnet AT sorrentinoalbertomaria exploringthesystemicriskofdomesticbankswithdcovarandelasticnet |