Evidence map›Paper›PMID 35992050›Full record

ReviewScientific African2022

Impact of COVID-19 pandemic on Moroccan sectoral stocks indices.

Lhoucine Ben Hssain, Jamal Agouram, Ghizlane Lakhnati

Abstract readReview
In one paragraph

Review in Scientific African, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Lhoucine Ben HssainLISAD, ENSA, Ibn Zohr University, Agadir, Morocco.
Jamal AgouramLISAD, ENSA, Ibn Zohr University, Agadir, Morocco.
Ghizlane LakhnatiLISAD, ENSA, Ibn Zohr University, Agadir, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we make an original contribution by identifying the impact of COVID-19 on Moroccan sectoral stocks indices. For this purpose, we collected data of 22 sectors from the Casablanca stock exchange from January 2017 to December 2021 and investigated two regres- sion models that included a dummy variable representing the onset of COVID-19. In addition, we examined performance measures (Sharp ratio and Treynor ratio) and risk measures (CVaR and Beta) of each individual sector before and during COVID-19. Furthermore, a GARCH model is applied to show conditional variance, aiming to emphasize the volatility of the selected stocks indices overall the chosen period. The results allowed us to divide sectors into two samples: the first one, referred to as sample 1, that was negatively impacted, and the second one, referred to as sample 2, that benefited from the pandemic of COVID-19. Further, conditional variance revealed that COVID-19 boosted, significantly but for a short period, the volatility of all sectors, even though the magnitude of the effect on volatility varies by sample and also by sector. Overall, we see COVID-19 as a crisis for some sectors and an opportunity for a new business transformation, as it is a period that results in significant improvement for some specific sectors. Furthermore, our results reflect the behavior of the sectors of an African emerging market during the COVID-19 outbreak, which is relevant for the formulation of strategies to ensure financial sustainability during future sanitary crises of this magnitude, for this type of economy.

Indexed as

CAPMCOVID-19GARCHPerformanceRiskStock market

Identifiers

PMID35992050
PMCPMC9375257

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.