Evidence map›Paper›PMID 36540547›Full record

ArticleTechnological forecasting and social change2021

Covid-19 health policy intervention and volatility of Asian capital markets.

Ahmed Imran Hunjra, Ploypailin Kijkasiwat, Murugesh Arunachalam, Helmi Hammami

Open access · greenAbstract read
In one paragraph

Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
10.3field-weighted citation impact, top 2% 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

5 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Social-economic impacts of epidemic diseases.Technological forecasting and social change · 2022
    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

4 authors at 4 institutions in 4 countries.

Ahmed Imran HunjraDepartment of Business Administration, Ghazi University, Dera Ghazi Khan, Pakistan.
Ploypailin KijkasiwatThe Faculty of Business Administration and Accountancy, Khon Kaen University, Thailand.
Murugesh ArunachalamSchool of Accounting, Finance and Economics, University of Waikato, New Zealand.
Helmi HammamiRennes School of Business, Rennes, France.
École Supérieure de Commerce de Rennes · FRGhazi University · PKKhon Kaen University · THUniversity of Waikato · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Covid-19 pandemic continues to disturb the global economy and capital markets. Governments across the globe relentlessly enact health policy measures to contain coronavirus and undertake economic relief programs to reduce the impacts on their economies. This paper examines the effects of Covid-19 government health measures on the volatility of capital markets in East Asian economies. The study applies Monte Carlo type simulations to determine stock price volatility over the period when health policy measures were implemented. The findings indicate that different health policy measures have affected investors' behavior and caused volatility of stock markets. However, there are country-different impacts on the volatility of these capital markets. The findings provide important insights that are useful when reviewing Covid-19 health policy measures to mitigate the impacts on stock markets.

Indexed as

Asian capital marketsCovid-19Health measuresMonte carlo approachStock market volatility

Identifiers

PMID36540547
PMCPMC9755562
OpenAlexW3161358539

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.