Evidence map›Paper›PMID 37576383›Full record

ArticleF1000Research2022

The stock market reaction to COVID-19 vaccination in ASEAN.

Marizsa Herlina, Ade Yunita Mafruhat, Eti Kurniati, Wildan Wildan, Hilwa Gifty Salsabila

Abstract read
In one paragraph

Article in F1000Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Marizsa HerlinaDepartment of Statistics, Universitas Islam Bandung, Bandung, 40116, Indonesia.
Ade Yunita MafruhatDepartment of Economic Development, Universitas Islam Bandung, Bandung, 40116, Indonesia.
Eti KurniatiDepartment of Mathematics, Universitas Islam Bandung, Bandung, 40116, Indonesia.
Wildan WildanDepartment of Statistics, Universitas Islam Bandung, Bandung, 40116, Indonesia.
Hilwa Gifty SalsabilaDepartment of Mathematics, Universitas Islam Bandung, Bandung, 40116, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have shown that the confirmed cases drive investor sentiment, reflecting the stock's return. Based on this, the vaccination growth is also expected to drive the investor's sentiment, which can be reflected in the return of the stock market in ASEAN.  Therefore, this study explores the vaccination impact on stock returns in ASEAN countries. This study contributes to the gap of taking the COVID-19 vaccination impact to the stock return into account by using the panel regression model with HC and Driscoll and Kraay robust covariance matrix estimator, which addresses the cross-dependency and heterogeneity problems. This study is one of the early studies of the topic, especially in ASEAN. The panel regression model with HC and Driscoll and Kraay robust covariance matrix estimator uses three variables: the daily stocks return, vaccine growth, and cases growth. It is a balanced panel data that includes six countries and 117 daily series data, making 702 observations used in the study.  The results show conflicting results where daily vaccination growth negatively affects the stock return. This problem can arise for several reasons, such as the uncertainty in the financial market and cross-dependency and heterogeneity detected in the model. We can see that the investors still have a negative sentiment because COVID-19 has resulted in uncertainty on the financial market in ASEAN. This gives us practical implications that the ASEAN country members' government needs to push vaccination policy more aggressively.

Indexed as

COVID-19COVID-19 VaccinesGovernmentHumansPolicyVaccinationCOVID-19 VaccinesASEANcross-dependenceheterogeneitypanel regressionStock reactionvaccination

Identifiers

PMID37576383
PMCPMC10422054

What OpenQuestion holds

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LicenceCC BY
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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.