Evidence map›Paper›PMID 36628338›Full record

ArticleFinancial innovation2023

COVID-19 and tourism sector stock price in Spain: medium-term relationship through dynamic regression models.

Isabel Carrillo-Hidalgo, Juan Ignacio Pulido-Fernández, José Luis Durán-Román, Jairo Casado-Montilla

Abstract read
In one paragraph

Article in Financial innovation, 2023. 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

4 authors.

Isabel Carrillo-HidalgoLaboratory of Analysis and Innovation in Tourism, University of Jaén, Paraje Las Lagunillas S/N, D3-134, 23071 Jaén, Spain.ORCID 0000-0002-0914-5084
Juan Ignacio Pulido-FernándezLaboratory of Analysis and Innovation in Tourism, University of Jaén, Paraje Las Lagunillas S/N, D3-273, 23071 Jaén, Spain.
José Luis Durán-RománLaboratory of Analysis and Innovation in Tourism, University of Jaén, Paraje Las Lagunillas S/N, D3-217, 23071 Jaén, Spain.
Jairo Casado-MontillaLaboratory of Analysis and Innovation in Tourism, University of Jaén, Paraje Las Lagunillas S/N, D3-273, 23071 Jaén, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global pandemic, coronavirus disease 2019 (COVID-19), has significantly affected tourism, especially in Spain, as it was among the first countries to be affected by the pandemic and is among the world's biggest tourist destinations. Stock market values are responding to the evolution of the pandemic, especially in the case of tourist companies. Therefore, being able to quantify this relationship allows us to predict the effect of the pandemic on shares in the tourism sector, thereby improving the response to the crisis by policymakers and investors. Accordingly, a dynamic regression model was developed to predict the behavior of shares in the Spanish tourism sector according to the evolution of the COVID-19 pandemic in the medium term. It has been confirmed that both the number of deaths and cases are good predictors of abnormal stock prices in the tourism sector.

Indexed as

COVID-19Dynamic regression modelsSpainStock exchangeTourism stock

Identifiers

PMID36628338
PMCPMC9817465

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Registered trials

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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.