Evidence map›Paper›PMID 35024279›Full record

ArticleFinancial innovation2021

Preventing crash in stock market: The role of economic policy uncertainty during COVID-19.

Peng-Fei Dai, Xiong Xiong, Zhifeng Liu, Toan Luu Duc Huynh, Jianjun Sun

Abstract read
In one paragraph

Article in Financial innovation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Peng-Fei DaiCollege of Management and Economics, Tianjin University, Tianjin, China.
Xiong XiongCollege of Management and Economics, Tianjin University, Tianjin, China.
Zhifeng LiuManagement School, Hainan University, Haikou, China.ORCID 0000-0002-6158-4631
Toan Luu Duc HuynhChair of Behavioral Finance, WHU-Otto Beisheim School of Management, Vallendar, Germany.
Jianjun SunSchool of Economics, Hainan University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper investigates the impact of economic policy uncertainty (EPU) on the crash risk of US stock market during the COVID-19 pandemic. To this end, we use the GARCH-S (GARCH with skewness) model to estimate daily skewness as a proxy for the stock market crash risk. The empirical results show the significantly negative correlation between EPU and stock market crash risk, indicating the aggravation of EPU increase the crash risk. Moreover, the negative correlation gets stronger after the global COVID-19 outbreak, which shows the crash risk of the US stock market will be more affected by EPU during the epidemic.

Indexed as

COVID-19Crash riskEconomic policy uncertaintySkewness

Identifiers

PMID35024279
PMCPMC8079234

What OpenQuestion holds

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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.