Evidence map›Paper›PMID 36590699›Full record

ArticleSN business & economics2023

Determining the return volatility of the Ghana stock exchange before and during the COVID-19 pandemic using the exponential GARCH model.

Kwadwo Boateng Prempeh, Joseph Magnus Frimpong, Newman Amaning

Open access · bronzeAbstract read
In one paragraph

Article in SN business & economics, 2023. 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
1.1field-weighted citation impact, top 14% of its field
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, 4 citations in OpenAlex.

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 at 2 institutions in 1 country.

Kwadwo Boateng PrempehDepartment of Accountancy, Faculty of Business and Management Studies, Sunyani Technical University, Ghana Sunyani.ORCID 0000-0001-8193-6676
Joseph Magnus FrimpongKNUST School of Business, Kumasi, Ghana.
Newman AmaningDepartment of Accountancy, Faculty of Business and Management Studies, Sunyani Technical University, Ghana Sunyani.ORCID 0000-0002-5752-0651
Sunyani Technical University · GHKwame Nkrumah University of Science and Technology · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we utilise daily stock returns for the Ghanaian equity market (GSE) to examine the influence of the COVID-19 pandemic on market volatility. We take return volatility from 2nd January, 2018, to 31st December, 2021, and split it into two periods-the pre-COVID-19 period and the COVID-19 period. Utilising the exponential GARCH (EGARCH) model, we discovered leverage effects in all observed periods. Additionally, the research indicates that the COVID-19 period experienced high volatility with a transient volatility persistence. Furthermore, during the COVID-19 pandemic, positive shocks had a more significant impact on the volatility of the GSE's returns than negative news of comparable magnitude.

Indexed as

COVID-19GSEShocksStock market returnsVolatility

Identifiers

PMID36590699
PMCPMC9786530
OpenAlexW4312181549

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.