Evidence map›Paper›PMID 36619598›Full record

ArticleHumanities & social sciences communications2023

The impact of the COVID-19 outbreak on the connectedness of the BRICS's term structure.

Francisco Jareño, Ana Escribano, Zaghum Umar

Abstract read
In one paragraph

Article in Humanities & social sciences communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Francisco JareñoFaculty of Economic and Business Sciences, University of Castilla-La Mancha, Albacete, Spain.ORCID 0000-0001-9778-7345
Ana EscribanoFaculty of Economic and Business Sciences, University of Castilla-La Mancha, Albacete, Spain.ORCID 0000-0003-1416-3401
Zaghum UmarCollege of Business, Zayed University, United Arab Emirates South Ural State University, Lenin Prospect 76, Chelyabinsk, 454080 Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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).

Indexed as

EconomicsFinance

Identifiers

PMID36619598
PMCPMC9809532

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.