Evidence map›Paper›PMID 36540335›Full record

ArticleResearch in international business and finance2021

The stabilizing effect of social distancing: Cross-country differences in financial market response to COVID-19 pandemic policies.

Steve J Bickley, Martin Brumpton, Ho Fai Chan, Richard Colthurst, Benno Torgler

Abstract read
In one paragraph

Article in Research in international business and finance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. COVID-19, government interventions and emerging capital markets performance.Research in international business and finance · 2021
    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.

Steve J BickleySchool of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, QLD, 4000, Australia.
Martin BrumptonSchool of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, QLD, 4000, Australia.
Ho Fai ChanSchool of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, QLD, 4000, Australia.
Richard ColthurstSchool of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, QLD, 4000, Australia.
Benno TorglerSchool of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, QLD, 4000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has had far-reaching global effects on the health and wellbeing of individuals on every continent. The economic and financial market response has been equally disastrous with high levels of volatility observed. This study explores the temporal relations between structural breaks, market volatility and government stay-at-home policy interventions and social distancing measures for 28 countries and their respective indices. We present results which indicate the establishment of stay-at-home policies influence sharp discontinuities in 15 of 28 markets (53.57 %) and increase market efficiency in 30 of 49 cases observed (61.22 %). These results indicate a small, statistically significant degree of stabilization in international financial markets responding to government stay-at-home policies and social distancing measures, a promising result for political actors concerned with economic performance during the public health response to the coronavirus 2019 pandemic.

Indexed as

Financial analysisMarket volatilityMulti-fractalitySARS-CoV-2Social distancingStay-at-home policy

Identifiers

PMID36540335
PMCPMC9756006

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.