Evidence map›Paper›PMID 33723464›Full record

ArticleTechnological forecasting and social change2021

Measuring the global economic impact of the coronavirus outbreak: Evidence from the main cluster countries.

Waël Louhichi, Zied Ftiti, Hachmi Ben Ameur

Open access · greenAbstract read
In one paragraph

Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
11.5field-weighted citation impact, top 2% of its field
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

11 citing papers in PubMed, 41 citations in OpenAlex.

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  8. Social-economic impacts of epidemic diseases.Technological forecasting and social change · 2022
    Article
  9. Article
  10. Robots and risk of COVID-19 workplace contagion: Evidence from Italy.Technological forecasting and social change · 2021
    Article
  11. 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 at 2 institutions in 1 country.

Waël LouhichiESSCA School of Management, France.
Zied FtitiEDC Paris Business School, OCRE Laboratory, 70 Galerie des damiers, Courbevoie, 92415 Paris, France.
Hachmi Ben AmeurINSEEC Business School, Paris, France.
ESSCA School of Management · FRParis School of Business · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study measures the global economic impact of the coronavirus outbreak. This pandemic is characterized by demand and supply shocks, leading to restrictions on trade, product and service transactions, and capital flow mobility. We investigate its impact on currency markets, stock market performance, and investor fear sentiment. We employ an empirical, time-scale approach based on the continuous wavelet transform-appropriate for time-series characteristics during times of turmoil. Based on daily data for four main cluster countries (China, France, Italy, and the USA), our results show that the impact of the pandemic's evolution on the main economic indicators in China exhibits a different pattern from France, Italy, and the USA. For China, our results show that the pandemic evolution co-moves with the main economic indicators only in the short term (one week). The effect is more persistent in other countries. We also show that the main economic indicators are more sensitive to pandemic evolution assessed by the number of deaths rather than number of cases, and that currency and financial markets are affected in different timescales. These findings might assist policymakers in addressing the feedback loop between currency markets and capital flows and help investors find alternative assets to hedge against heath shocks.

Indexed as

Currency marketsFinancial marketsInvestor fear sentimentPandemic evolution

Identifiers

PMID33723464
PMCPMC7942192
OpenAlexW3134000718

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.