Evidence map›Paper›PMID 35153631›Full record

ArticleFinance research letters2022

Market reaction, COVID-19 pandemic and return distribution.

Chenglu Jin, Xingyu Lu, Yihan Zhang

Abstract read
In one paragraph

Article in Finance research letters, 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

3 authors.

Chenglu JinSchool of Finance, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
Xingyu LuSchool of Finance, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
Yihan ZhangSchool of Finance, Zhejiang University of Finance and Economics, Hangzhou 310018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Coronavirus (COVID-19) pandemic is disrupting the world. Employing an event study, we find cross-country evidence that stock markets all significantly react to COVID-19, but with different speeds, strengths and directions. Moreover, reactions to COVID-19 also vary across quantile levels of return distributions in any given country, by using a augmented quantile auto-regression approach. US (Indian) markets generally show overreaction (underreaction), while Stock markets in Australia, Germany, Japan and UK overreact to the pandemic when quantile returns are below the median.

Indexed as

COVID-19 pandemicEvent studyMarket reactionQuantile auto-regression approachReturn distributions

Identifiers

PMID35153631
PMCPMC8824359

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.