Serveur d'exploration sur la COVID en France

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis.

Identifieur interne : 000574 ( Main/Exploration ); précédent : 000573; suivant : 000575

Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis.

Auteurs : Tefan Cristian Gherghina [Roumanie] ; Daniel Tefan Armeanu [Roumanie] ; Camelia C T Lina Jolde [Roumanie]

Source :

RBID : pubmed:32942766

Descripteurs français

English descriptors

Abstract

This paper examines the linkages in financial markets during coronavirus disease 2019 (COVID-19) pandemic outbreak. For this purpose, daily stock market returns were used over the period of December 31, 2019-April 20, 2020 for the following economies: USA, Spain, Italy, France, Germany, UK, China, and Romania. The study applied the autoregressive distributed lag (ARDL) model to explore whether the Romanian stock market is impacted by the crisis generated by novel coronavirus. Granger causality was employed to investigate the causalities among COVID-19 and stock market returns, as well as between pandemic measures and several commodities. The outcomes of the ARDL approach failed to find evidence towards the impact of Chinese COVID-19 records on the Romanian financial market, neither in the short-term, nor in the long-term. On the other hand, our quantitative approach reveals a negative effect of the new deaths' cases from Italy on the 10-year Romanian bond yield both in the short-run and long-run. The econometric research provide evidence that Romanian 10-year government bond is more sensitive to the news related to COVID-19 than the index of the Bucharest Stock Exchange. Granger causality analysis reveals causal associations between selected stock market returns and Philadelphia Gold/Silver Index.

DOI: 10.3390/ijerph17186729
PubMed: 32942766


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis.</title>
<author>
<name sortKey="Gherghina, Tefan Cristian" sort="Gherghina, Tefan Cristian" uniqKey="Gherghina " first=" Tefan Cristian" last="Gherghina"> Tefan Cristian Gherghina</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania.</nlm:affiliation>
<country xml:lang="fr">Roumanie</country>
<wicri:regionArea>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest</wicri:regionArea>
<wicri:noRegion>010374 Bucharest</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Armeanu, Daniel Tefan" sort="Armeanu, Daniel Tefan" uniqKey="Armeanu D" first="Daniel Tefan" last="Armeanu">Daniel Tefan Armeanu</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania.</nlm:affiliation>
<country xml:lang="fr">Roumanie</country>
<wicri:regionArea>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest</wicri:regionArea>
<wicri:noRegion>010374 Bucharest</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Jolde, Camelia C T Lina" sort="Jolde, Camelia C T Lina" uniqKey="Jolde C" first="Camelia C T Lina" last="Jolde">Camelia C T Lina Jolde</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania.</nlm:affiliation>
<country xml:lang="fr">Roumanie</country>
<wicri:regionArea>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest</wicri:regionArea>
<wicri:noRegion>010374 Bucharest</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32942766</idno>
<idno type="pmid">32942766</idno>
<idno type="doi">10.3390/ijerph17186729</idno>
<idno type="wicri:Area/Main/Corpus">000094</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000094</idno>
<idno type="wicri:Area/Main/Curation">000094</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000094</idno>
<idno type="wicri:Area/Main/Exploration">000094</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis.</title>
<author>
<name sortKey="Gherghina, Tefan Cristian" sort="Gherghina, Tefan Cristian" uniqKey="Gherghina " first=" Tefan Cristian" last="Gherghina"> Tefan Cristian Gherghina</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania.</nlm:affiliation>
<country xml:lang="fr">Roumanie</country>
<wicri:regionArea>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest</wicri:regionArea>
<wicri:noRegion>010374 Bucharest</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Armeanu, Daniel Tefan" sort="Armeanu, Daniel Tefan" uniqKey="Armeanu D" first="Daniel Tefan" last="Armeanu">Daniel Tefan Armeanu</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania.</nlm:affiliation>
<country xml:lang="fr">Roumanie</country>
<wicri:regionArea>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest</wicri:regionArea>
<wicri:noRegion>010374 Bucharest</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Jolde, Camelia C T Lina" sort="Jolde, Camelia C T Lina" uniqKey="Jolde C" first="Camelia C T Lina" last="Jolde">Camelia C T Lina Jolde</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania.</nlm:affiliation>
<country xml:lang="fr">Roumanie</country>
<wicri:regionArea>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest</wicri:regionArea>
<wicri:noRegion>010374 Bucharest</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series>
<title level="j">International journal of environmental research and public health</title>
<idno type="eISSN">1660-4601</idno>
<imprint>
<date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Betacoronavirus (MeSH)</term>
<term>China (MeSH)</term>
<term>Commerce (economics)</term>
<term>Coronavirus Infections (economics)</term>
<term>Economic Development (MeSH)</term>
<term>France (MeSH)</term>
<term>Germany (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Italy (MeSH)</term>
<term>Pandemics (economics)</term>
<term>Pneumonia, Viral (economics)</term>
<term>Romania (MeSH)</term>
<term>Spain (MeSH)</term>
<term>United Kingdom (MeSH)</term>
<term>United States (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Allemagne (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Chine (MeSH)</term>
<term>Commerce (économie)</term>
<term>Développement économique (MeSH)</term>
<term>Espagne (MeSH)</term>
<term>France (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (économie)</term>
<term>Italie (MeSH)</term>
<term>Pandémies (économie)</term>
<term>Pneumopathie virale (économie)</term>
<term>Roumanie (MeSH)</term>
<term>Royaume-Uni (MeSH)</term>
<term>États-Unis (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en">
<term>China</term>
<term>France</term>
<term>Germany</term>
<term>Italy</term>
<term>Romania</term>
<term>Spain</term>
<term>United Kingdom</term>
<term>United States</term>
</keywords>
<keywords scheme="MESH" qualifier="economics" xml:lang="en">
<term>Commerce</term>
<term>Coronavirus Infections</term>
<term>Pandemics</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="économie" xml:lang="fr">
<term>Commerce</term>
<term>Infections à coronavirus</term>
<term>Pandémies</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Betacoronavirus</term>
<term>Economic Development</term>
<term>Humans</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Allemagne</term>
<term>Betacoronavirus</term>
<term>Chine</term>
<term>Développement économique</term>
<term>Espagne</term>
<term>France</term>
<term>Humains</term>
<term>Italie</term>
<term>Roumanie</term>
<term>Royaume-Uni</term>
<term>États-Unis</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>République populaire de Chine</term>
<term>France</term>
<term>Allemagne</term>
<term>Italie</term>
<term>Roumanie</term>
<term>Espagne</term>
<term>Royaume-Uni</term>
<term>États-Unis</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">This paper examines the linkages in financial markets during coronavirus disease 2019 (COVID-19) pandemic outbreak. For this purpose, daily stock market returns were used over the period of December 31, 2019-April 20, 2020 for the following economies: USA, Spain, Italy, France, Germany, UK, China, and Romania. The study applied the autoregressive distributed lag (ARDL) model to explore whether the Romanian stock market is impacted by the crisis generated by novel coronavirus. Granger causality was employed to investigate the causalities among COVID-19 and stock market returns, as well as between pandemic measures and several commodities. The outcomes of the ARDL approach failed to find evidence towards the impact of Chinese COVID-19 records on the Romanian financial market, neither in the short-term, nor in the long-term. On the other hand, our quantitative approach reveals a negative effect of the new deaths' cases from Italy on the 10-year Romanian bond yield both in the short-run and long-run. The econometric research provide evidence that Romanian 10-year government bond is more sensitive to the news related to COVID-19 than the index of the Bucharest Stock Exchange. Granger causality analysis reveals causal associations between selected stock market returns and Philadelphia Gold/Silver Index.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM">
<PMID Version="1">32942766</PMID>
<DateCompleted>
<Year>2020</Year>
<Month>09</Month>
<Day>22</Day>
</DateCompleted>
<DateRevised>
<Year>2020</Year>
<Month>09</Month>
<Day>22</Day>
</DateRevised>
<Article PubModel="Electronic">
<Journal>
<ISSN IssnType="Electronic">1660-4601</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>17</Volume>
<Issue>18</Issue>
<PubDate>
<Year>2020</Year>
<Month>09</Month>
<Day>15</Day>
</PubDate>
</JournalIssue>
<Title>International journal of environmental research and public health</Title>
<ISOAbbreviation>Int J Environ Res Public Health</ISOAbbreviation>
</Journal>
<ArticleTitle>Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis.</ArticleTitle>
<ELocationID EIdType="pii" ValidYN="Y">E6729</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.3390/ijerph17186729</ELocationID>
<Abstract>
<AbstractText>This paper examines the linkages in financial markets during coronavirus disease 2019 (COVID-19) pandemic outbreak. For this purpose, daily stock market returns were used over the period of December 31, 2019-April 20, 2020 for the following economies: USA, Spain, Italy, France, Germany, UK, China, and Romania. The study applied the autoregressive distributed lag (ARDL) model to explore whether the Romanian stock market is impacted by the crisis generated by novel coronavirus. Granger causality was employed to investigate the causalities among COVID-19 and stock market returns, as well as between pandemic measures and several commodities. The outcomes of the ARDL approach failed to find evidence towards the impact of Chinese COVID-19 records on the Romanian financial market, neither in the short-term, nor in the long-term. On the other hand, our quantitative approach reveals a negative effect of the new deaths' cases from Italy on the 10-year Romanian bond yield both in the short-run and long-run. The econometric research provide evidence that Romanian 10-year government bond is more sensitive to the news related to COVID-19 than the index of the Bucharest Stock Exchange. Granger causality analysis reveals causal associations between selected stock market returns and Philadelphia Gold/Silver Index.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Gherghina</LastName>
<ForeName>Ștefan Cristian</ForeName>
<Initials>ȘC</Initials>
<Identifier Source="ORCID">0000-0003-2911-6480</Identifier>
<AffiliationInfo>
<Affiliation>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Armeanu</LastName>
<ForeName>Daniel Ștefan</ForeName>
<Initials></Initials>
<AffiliationInfo>
<Affiliation>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Joldeș</LastName>
<ForeName>Camelia Cătălina</ForeName>
<Initials>CC</Initials>
<AffiliationInfo>
<Affiliation>Department of Finance, Bucharest University of Economic Studies, 6 Piata Romana, 010374 Bucharest, Romania.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2020</Year>
<Month>09</Month>
<Day>15</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>Switzerland</Country>
<MedlineTA>Int J Environ Res Public Health</MedlineTA>
<NlmUniqueID>101238455</NlmUniqueID>
<ISSNLinking>1660-4601</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList>
<SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D003132" MajorTopicYN="N">Commerce</DescriptorName>
<QualifierName UI="Q000191" MajorTopicYN="Y">economics</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000191" MajorTopicYN="Y">economics</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D057217" MajorTopicYN="Y">Economic Development</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007558" MajorTopicYN="N" Type="Geographic">Italy</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
<QualifierName UI="Q000191" MajorTopicYN="Y">economics</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000191" MajorTopicYN="Y">economics</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012383" MajorTopicYN="N" Type="Geographic">Romania</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006113" MajorTopicYN="N" Type="Geographic">United Kingdom</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D014481" MajorTopicYN="N" Type="Geographic">United States</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="Y">ARDL model</Keyword>
<Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">Granger causality</Keyword>
<Keyword MajorTopicYN="Y">stock market</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="received">
<Year>2020</Year>
<Month>08</Month>
<Day>05</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised">
<Year>2020</Year>
<Month>09</Month>
<Day>08</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2020</Year>
<Month>09</Month>
<Day>10</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2020</Year>
<Month>9</Month>
<Day>18</Day>
<Hour>1</Hour>
<Minute>2</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed">
<Year>2020</Year>
<Month>9</Month>
<Day>19</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2020</Year>
<Month>9</Month>
<Day>23</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>epublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">32942766</ArticleId>
<ArticleId IdType="pii">ijerph17186729</ArticleId>
<ArticleId IdType="doi">10.3390/ijerph17186729</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>Roumanie</li>
</country>
</list>
<tree>
<country name="Roumanie">
<noRegion>
<name sortKey="Gherghina, Tefan Cristian" sort="Gherghina, Tefan Cristian" uniqKey="Gherghina " first=" Tefan Cristian" last="Gherghina"> Tefan Cristian Gherghina</name>
</noRegion>
<name sortKey="Armeanu, Daniel Tefan" sort="Armeanu, Daniel Tefan" uniqKey="Armeanu D" first="Daniel Tefan" last="Armeanu">Daniel Tefan Armeanu</name>
<name sortKey="Jolde, Camelia C T Lina" sort="Jolde, Camelia C T Lina" uniqKey="Jolde C" first="Camelia C T Lina" last="Jolde">Camelia C T Lina Jolde</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidFranceV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000574 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000574 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidFranceV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32942766
   |texte=   Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32942766" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidFranceV1 

Wicri

This area was generated with Dilib version V0.6.37.
Data generation: Tue Oct 6 23:31:36 2020. Site generation: Fri Feb 12 22:48:37 2021