Evidence map›Paper›PMID 38624821›Full record

ArticleAnnals of data science2022

The Impact of COVID-19 on China's Capital Market and Major Industry Sectors.

Weijia Xu, Aihua Li, Lu Wei

Abstract read
In one paragraph

Article in Annals of data science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Weijia XuSchool of Management Science and Engineering, Central University of Finance and Economics, Beijing, 102206 China.
Aihua LiSchool of Management Science and Engineering, Central University of Finance and Economics, Beijing, 102206 China.ORCID 0000-0003-4425-1955
Lu WeiSchool of Management Science and Engineering, Central University of Finance and Economics, Beijing, 102206 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper studies the impact of COVID-19 on China's capital market and major industry sectors via an improved ICSS algorithm, a time series model with exogenous variables and nonparametric conditional probability estimation. Through the empirical analysis of the stock market, the bond market and different industry sectors, it is found that the pandemic has had no significant impact on the return of the stock and bond markets; however, it has increased market volatility. There are significant differences in the significance, direction and duration of the impact of the pandemic in different sectors. In addition, the impacts of COVID-19 have been gradual in some industries but rapid in others. Different industries show different sensitivities in their response to COVID-19. Based on the impact analysis, this paper proposes corresponding suggestions for investment strategies and macrocontrol decisions.

Indexed as

Capital marketCOVID-19Industry sector indexNonparametric conditional probability estimation

Identifiers

PMID38624821
PMCPMC8918912

What OpenQuestion holds

Textmetadata
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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.