Evidence map›Paper›PMID 35024275›Full record

ArticleFinancial innovation2021

Impact of the COVID-19 outbreak on the US equity sectors: Evidence from quantile return spillovers.

Syed Jawad Hussain Shahzad, Elie Bouri, Ladislav Kristoufek, Tareq Saeed

Abstract read
In one paragraph

Article in Financial innovation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  16. Network based evidence of the financial impact of Covid-19 pandemic.International review of financial analysis · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Asymmetric volatility spillover among Chinese sectors during COVID-19.International review of financial analysis · 2021
    Article
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

4 authors.

Syed Jawad Hussain ShahzadMontpellier Business School, University of Montpellier, Montpellier Research in Management, Montpellier, France.ORCID 0000-0003-3511-6057
Elie BouriAdnan Kassar School of Business, Lebanese American University, Beirut, Lebanon.
Ladislav KristoufekInstitute of Information Theory and Automation, The Czech Academy of Sciences, Prague, Czech Republic.
Tareq SaeedNonlinear Analysis and Applied Mathematics (NAAM)-Research Group, Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to examine the extreme return spillovers among the US stock market sectors in the light of the COVID-19 outbreak. To this end, we extend the now-traditional Diebold-Yilmaz spillover index to the quantiles domain by building networks of generalized forecast error variance decomposition of a quantile vector autoregressive model specifically for extreme returns. Notably, we control for common movements by using the overall stock market index as a common factor for all sectors and uncover the effect of the COVID-19 outbreak on the dynamics of the network. The results show that the network structure and spillovers differ considerably with respect to the market state. During stable times, the network shows a nice sectoral clustering structure which, however, changes dramatically for both adverse and beneficial market conditions constituting a highly connected network structure. The pandemic period itself shows an interesting restructuring of the network as the dominant clusters become more tightly connected while the rest of the network remains well separated. The sectoral topology thus has not collapsed into a unified market during the pandemic.

Indexed as

COVID-19 outbreakGlobal risk aversionGranger causalityQuantile return spilloversUS equity sector indices

Identifiers

PMID35024275
PMCPMC7920753

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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.