Evidence map›Paper›PMID 36691402›Full record

ArticleResearch in international business and finance2023

COVID-19 and stock returns: Evidence from the Markov switching dependence approach.

Ahmed Bouteska, Taimur Sharif, Mohammad Zoynul Abedin

Abstract read
In one paragraph

Article in Research in international business and finance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Ahmed BouteskaFaculty of Economics and Management of Tunis, University of Tunis El Manar, Tunisia.
Taimur SharifFaculty of Arts, Society and Professional Studies, Newman University, Bartley Green, Birmingham B32 3NT, UK.
Mohammad Zoynul AbedinDepartment of Finance, Performance & Marketing, Teesside University International Business School, Teesside University, Tees Valley, Middlesbrough TS1 3BX , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to investigate the regime-switching and time-varying dependence between the COVID-19 pandemic and the US stock markets using a Markov-switching framework. It makes two contributions to the empirical literature by showing that: (a) the variations of the daily reported COVID-19 cases and cumulative COVID-19 deaths induced asymmetric lower (left) and upper (right) tail dependence with the stock markets, and its left and right tail dependence exhibited significant time-varying trends; and (b) the left and right tail dependence between the stock markets and the pandemic exhibited significant regime-switching behaviours, with its switching probabilities in the higher tail dependence stage all being greater than in the lower tail dependence stage after 1 December 2019. Moreover, given that there is concurrent but significant financial market reaction to any unexpected emergence of a transmittable respirational disease or a natural calamity, the outcomes have some vital implications to market players and policymakers.

Indexed as

COVID-19GJR-GARCH modelMarkov regime-switching modelSJC copula functionsUS stock markets

Identifiers

PMID36691402
PMCPMC9850423

What OpenQuestion holds

Textmetadata
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Registered trials

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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.