Evidence map›Paper›PMID 37021288›Full record

ArticleResearch in international business and finance2023

COVID-19, a blessing in disguise for the Tech sector: Evidence from stock price crash risk.

Ashrafee T Hossain, Abdullah-Al Masum, Jian Xu

Abstract read
In one paragraph

Article in Research in international business and finance, 2023. 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. 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.

Ashrafee T HossainFaculty of Business Administration, Memorial University of Newfoundland, St. John's, NL A1B 3×5, Canada.
Abdullah-Al MasumUWO College of Business, University of Wisconsin - Oshkosh, 800 Algoma Blvd, Oshkosh, WI 54901, USA.
Jian XuRobbins College of Business and Entrepreneurship, Fort Hays State University, 600 Park St, Hays, KS 67601, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we document that although COVID-19 has brought uncertainties to the overall economy, the Technology (tech) sector is the systematic beneficiary of the pandemic. Using a quasi-natural setup, we find a significant notion that the Stock Price Crash Risk (SPCR) of firms within the Tech sector decreases during the COVID-19 pandemic compared to the recent past and firms belonging to other sectors. Our analyses further reveal that firms in the Tech sector with stronger external monitoring and better information environment receive an even greater advantage from the pandemic. Overall, our study suggests that the higher systemic dependency on the Tech sector during the COVID-19 outbreak results in an economic benefit for this sector.

Indexed as

COVID-19Stock price crash riskTech sectorUncertainty

Identifiers

PMID37021288
PMCPMC10062870

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.