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Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness
Assessing the financial stability of the banking industry, particularly in credit risk management, has become extremely crucial in times of uncertainty. Given that, this paper aims to investigate the determinants of the interconnectedness of sectoral credit risk default for developing countries. To...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628559/ https://www.ncbi.nlm.nih.gov/pubmed/36337301 http://dx.doi.org/10.1007/s10614-022-10336-5 |
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author | Awijen, Haithem Ben Zaied, Younes Hunjra, Ahmed Imran |
author_facet | Awijen, Haithem Ben Zaied, Younes Hunjra, Ahmed Imran |
author_sort | Awijen, Haithem |
collection | PubMed |
description | Assessing the financial stability of the banking industry, particularly in credit risk management, has become extremely crucial in times of uncertainty. Given that, this paper aims to investigate the determinants of the interconnectedness of sectoral credit risk default for developing countries. To that purpose, we employ a dynamic credit risk model that considers a variety of macroeconomic indicators, bank-specific variables, and household characteristics. Moreover, the SURE model is used to analyze empirical data. We find the connection between macroeconomic, bank-specific, and household characteristics, and sectoral default risk. The outcomes of macroeconomic factors demonstrate that few macroeconomic determinants significantly influence the sector’s default risk. The empirical results of household components reveal that educated households play a substantial role in decreasing sectoral loan defaults interconnectedness and vice versa. While for bank-specific characteristic, we find that greater bank profitability and specialization have substantially reduced loan defaults. |
format | Online Article Text |
id | pubmed-9628559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-96285592022-11-02 Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness Awijen, Haithem Ben Zaied, Younes Hunjra, Ahmed Imran Comput Econ Article Assessing the financial stability of the banking industry, particularly in credit risk management, has become extremely crucial in times of uncertainty. Given that, this paper aims to investigate the determinants of the interconnectedness of sectoral credit risk default for developing countries. To that purpose, we employ a dynamic credit risk model that considers a variety of macroeconomic indicators, bank-specific variables, and household characteristics. Moreover, the SURE model is used to analyze empirical data. We find the connection between macroeconomic, bank-specific, and household characteristics, and sectoral default risk. The outcomes of macroeconomic factors demonstrate that few macroeconomic determinants significantly influence the sector’s default risk. The empirical results of household components reveal that educated households play a substantial role in decreasing sectoral loan defaults interconnectedness and vice versa. While for bank-specific characteristic, we find that greater bank profitability and specialization have substantially reduced loan defaults. Springer US 2022-11-01 /pmc/articles/PMC9628559/ /pubmed/36337301 http://dx.doi.org/10.1007/s10614-022-10336-5 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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 Awijen, Haithem Ben Zaied, Younes Hunjra, Ahmed Imran Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness |
title | Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness |
title_full | Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness |
title_fullStr | Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness |
title_full_unstemmed | Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness |
title_short | Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness |
title_sort | systematic and unsystematic determinants of sectoral risk default interconnectedness |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628559/ https://www.ncbi.nlm.nih.gov/pubmed/36337301 http://dx.doi.org/10.1007/s10614-022-10336-5 |
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