Evidence map›Paper›PMID 34155586›Full record

ArticleEnvironmental science and pollution research international2021

COVID-19 and stock exchange return variation: empirical evidences from econometric estimation.

Yousaf Latif, Ge Shunqi, Shahid Bashir, Wasim Iqbal, Salman Ali, Muhammad Ramzan

RetractedOpen access · bronzeAbstract readRetracted Publication
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
15.1field-weighted citation impact, top 1% 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

8 citing papers in PubMed, 59 citations in OpenAlex.

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  3. Assessing the nexus between fiscal policy, COVID-19, and economic growth.Environmental science and pollution research international · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Yousaf LatifInstitute of International Economics, Nankai University, Tianjin, 300071, People's Republic of China.
Ge ShunqiInstitute of International Economics, Nankai University, Tianjin, 300071, People's Republic of China. geshunqi@vip.163.com.
Shahid BashirBusiness Studies Department, Namal Institute, Mianwali, Pakistan.
Wasim IqbalDepartment of Management Science, College of Management, Shenzhen University, Shenzhen, China. wasimiqbal01@yahoo.com.ORCID http://orcid.org/0000-0003-3751-9634
Salman AliInstitute of International Economics, Nankai University, Tianjin, 300071, People's Republic of China.
Muhammad RamzanInstitute of International Economics, Nankai University, Tianjin, 300071, People's Republic of China.
Nankai University · CNNamal University · PKShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research looked at the effects of COVID-19 on a number of the world's most important stock exchanges, as well as the empirical relation between the COVID-19 wave and stock market volatility. In order to plan proper portfolio diversification in international financial markets, researchers must examine COVID-19 anxiety in relation to stock market volatility. The stock market volatility connected with the COVID-19 pandemic was measured using AR(1)-GARCH(1,1). COVID-19 fear, according to our research, is the ultimate driver of public attention and stock market volatility. The findings show that throughout the pandemic, stock market performance and GDP growth both declined significantly due to average increases. Furthermore, a 1% increase in COVID-19 causes a 0.8% and 0.56% decline in stock return and GDP, respectively. The stock market, on the other hand, showed a slight movement in GDP growth. Furthermore, the COVID-19 pandemic reported cases index, death index, and global panic index all influenced public perceptions of purchasing and selling. As a result, rather than investing in stocks, it is recommended that you invest in gold. The research also makes policy recommendations for important stakeholders. We look to examine how stock returns respond dynamically to unanticipated changes in the COVID-19 scenarios, as well as the uncertainty that comes with a pandemic. Using daily data from Canada and the USA, we conclude that a spike in COVID-19 instances has a negative impact on the stock market in general. Furthermore, in both the increase and decline scenarios in Canada, the stock return reactions are asymmetric. The disparity is due to the unfavorable impact of the pandemic's unpredictability. We also discovered that uncertainty had a negative impact on the US stock market. The magnitude, however, is insignificant.

Indexed as

COVID-19HumansInvestmentsPandemicsUncertaintyCOVID-19Stock returnStock volatilityWavelet

Identifiers

PMID34155586
PMCPMC8216325
OpenAlexW3176094277

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.