Evidence map›Paper›PMID 35822062›Full record

ArticleResearch in international business and finance2022

Tail-risk spillovers from China to G7 stock market returns during the COVID-19 outbreak: A market and sectoral analysis.

Riadh Aloui, Sami Ben Jabeur, Salma Mefteh-Wali

Abstract read
In one paragraph

Article in Research in international business and finance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Riadh AlouiLAREQUAD, Tunis Business School, University of Tunis, El Mourouj, 2074 Ben Arous, Tunisia.
Sami Ben JabeurInstitute of Sustainable Business and Organizations, Confluence: Sciences et Humanités - UCLY, ESDES, 10, place des archives, 69002, Lyon, France.
Salma Mefteh-WaliESSCA School of Management, 1 rue Lakanal, 49003, Angers, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study uses a combination of copulas and CoVaR to investigate risk spillovers from China to G7 countries before and during the COVID-19 pandemic. Using daily data on stock and equity sectors for the period from January 1, 2013 to June 9, 2021, the main empirical results show that, before the COVID-19 pandemic, stock markets were positively related and systemic risk was comparable for all countries. However, during the COVID-19 outbreak, the level of dependence increased for all G7 countries and the upside-downside risk spillovers become on average higher for all stock markets, with the exception of Japan. Our results also provide evidence of higher market risk exposure to information from China for the technology and energy sectors. Moreover, we find an asymmetric risk spillover from China to the G7 stock markets, with higher intensity in downside risk spillovers before and during COVID-19 spread.

Indexed as

CopulasCoVaREquity sectorsStock indicesSystemic riskVaR

Identifiers

PMID35822062
PMCPMC9264816

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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.