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The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure
This study aims to examine the impact of the different waves of the COVID-19 pandemic on the connectedness of the BRICS (Brazil, Russia, India, China, and South Africa) term structure of interest rates and its components (level, slope and curvature). For that purpose, this research applies the time-...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Palgrave Macmillan UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809532/ https://www.ncbi.nlm.nih.gov/pubmed/36619598 http://dx.doi.org/10.1057/s41599-022-01500-1 |
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author | Jareño, Francisco Escribano, Ana Umar, Zaghum |
author_facet | Jareño, Francisco Escribano, Ana Umar, Zaghum |
author_sort | Jareño, Francisco |
collection | PubMed |
description | This study aims to examine the impact of the different waves of the COVID-19 pandemic on the connectedness of the BRICS (Brazil, Russia, India, China, and South Africa) term structure of interest rates and its components (level, slope and curvature). For that purpose, this research applies the time-varying parameter vector autoregression (TVP-VAR) approach in order to assess the direction of spillovers among countries and factors and measure their contribution to the connectedness system. Our results show that the total connectedness measure changes over time, and the level and curvature components show connectedness that persists longer than the slope component, both in the first wave of the COVID-19 pandemic. Brazil and South Africa would appear as net transmitters of shocks, whereas China and India are net receivers. Finally, the most significant differences in the net dynamic connectedness between transmitters and receivers were focused on before and during the first wave of the COVID-19 pandemic crisis. Some additional impacts were observed during the last waves of the coronavirus pandemic. To our best knowledge, this is the first study on the connectedness between the yield curves of the BRICS economies and the COVID-19 crisis uncertainty according to the coronavirus MCI, by decomposing the yield curve into its factors (level, slope, and curvature). |
format | Online Article Text |
id | pubmed-9809532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Palgrave Macmillan UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98095322023-01-04 The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure Jareño, Francisco Escribano, Ana Umar, Zaghum Humanit Soc Sci Commun Article This study aims to examine the impact of the different waves of the COVID-19 pandemic on the connectedness of the BRICS (Brazil, Russia, India, China, and South Africa) term structure of interest rates and its components (level, slope and curvature). For that purpose, this research applies the time-varying parameter vector autoregression (TVP-VAR) approach in order to assess the direction of spillovers among countries and factors and measure their contribution to the connectedness system. Our results show that the total connectedness measure changes over time, and the level and curvature components show connectedness that persists longer than the slope component, both in the first wave of the COVID-19 pandemic. Brazil and South Africa would appear as net transmitters of shocks, whereas China and India are net receivers. Finally, the most significant differences in the net dynamic connectedness between transmitters and receivers were focused on before and during the first wave of the COVID-19 pandemic crisis. Some additional impacts were observed during the last waves of the coronavirus pandemic. To our best knowledge, this is the first study on the connectedness between the yield curves of the BRICS economies and the COVID-19 crisis uncertainty according to the coronavirus MCI, by decomposing the yield curve into its factors (level, slope, and curvature). Palgrave Macmillan UK 2023-01-03 2023 /pmc/articles/PMC9809532/ /pubmed/36619598 http://dx.doi.org/10.1057/s41599-022-01500-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Jareño, Francisco Escribano, Ana Umar, Zaghum The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure |
title | The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure |
title_full | The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure |
title_fullStr | The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure |
title_full_unstemmed | The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure |
title_short | The impact of the COVID-19 outbreak on the connectedness of the BRICS’s term structure |
title_sort | impact of the covid-19 outbreak on the connectedness of the brics’s term structure |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809532/ https://www.ncbi.nlm.nih.gov/pubmed/36619598 http://dx.doi.org/10.1057/s41599-022-01500-1 |
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