Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis
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, a...
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description | 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_str_mv | 10.3390/ijerph17186729 |
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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.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph17186729</identifier><identifier>PMID: 32942766</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Autoregressive models ; Betacoronavirus ; Causality ; China ; Commerce - economics ; Coronavirus Infections - economics ; Coronaviruses ; COVID-19 ; Crude oil prices ; Economic conditions ; Economic Development ; Economic growth ; Emerging markets ; Food supply ; France ; GDP ; Germany ; Gross Domestic Product ; Humans ; International finance ; Investments ; Italy ; Outbreaks ; Pandemics ; Pandemics - economics ; Pneumonia, Viral - economics ; Recessions ; Romania ; SARS-CoV-2 ; Securities markets ; Severe acute respiratory syndrome coronavirus 2 ; Silver ; Social responsibility ; Spain ; Stock exchanges ; Supply chains ; Sustainability ; United Kingdom ; United States</subject><ispartof>International journal of environmental research and public health, 2020-09, Vol.17 (18), p.6729</ispartof><rights>2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 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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.</description><subject>Autoregressive models</subject><subject>Betacoronavirus</subject><subject>Causality</subject><subject>China</subject><subject>Commerce - economics</subject><subject>Coronavirus Infections - economics</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Crude oil prices</subject><subject>Economic conditions</subject><subject>Economic Development</subject><subject>Economic growth</subject><subject>Emerging markets</subject><subject>Food supply</subject><subject>France</subject><subject>GDP</subject><subject>Germany</subject><subject>Gross Domestic Product</subject><subject>Humans</subject><subject>International finance</subject><subject>Investments</subject><subject>Italy</subject><subject>Outbreaks</subject><subject>Pandemics</subject><subject>Pandemics - economics</subject><subject>Pneumonia, Viral - economics</subject><subject>Recessions</subject><subject>Romania</subject><subject>SARS-CoV-2</subject><subject>Securities markets</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Silver</subject><subject>Social responsibility</subject><subject>Spain</subject><subject>Stock exchanges</subject><subject>Supply chains</subject><subject>Sustainability</subject><subject>United Kingdom</subject><subject>United States</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkc1v1DAQxS1ERUvhyhFZ4sIlrb9iOxyQtttSKi1aKIWr5ThO693EXmxnpT3yn2PUD7U9zUjzm6d58wB4h9ERpQ06disbNzdYYMkFaV6AA8w5qhhH-OWjfh-8TmmFEJWMN6_APiUNI4LzA_D3Zw5mDb_puLYZXlptsgs-wRzgfPn74rTCDfyufWdHZ-Byym20ev0J_pi0zy7r7LYWnm1dZ72xsI9hhLPL0wU8CZPvEryyKSdY1uF51P7aRjjXU9KDyzs483rYJZfegL1eD8m-vauH4NeXs6v512qxPL-YzxaVYVjmiiFRk65nuBTcYGMYF4KTXraY2eK9I9KKtq0RwtLIjpCaciOREUS2rOkIPQSfb3U3Uzvazlifox7UJrpRx50K2qmnE-9u1HXYKlHXUta8CHy8E4jhz1ScqdElY4dBexumpAhjrDxYNrSgH56hqzDFYrhQktSYCU6bQh3dUiaGlKLtH47BSP1PVz1Ntyy8f2zhAb-Pk_4Dsyag1Q</recordid><startdate>20200915</startdate><enddate>20200915</enddate><creator>Gherghina, Ștefan Cristian</creator><creator>Armeanu, Daniel Ștefan</creator><creator>Joldeș, Camelia Cătălina</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2911-6480</orcidid></search><sort><creationdate>20200915</creationdate><title>Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis</title><author>Gherghina, Ștefan Cristian ; 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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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>32942766</pmid><doi>10.3390/ijerph17186729</doi><orcidid>https://orcid.org/0000-0003-2911-6480</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Autoregressive models Betacoronavirus Causality China Commerce - economics Coronavirus Infections - economics Coronaviruses COVID-19 Crude oil prices Economic conditions Economic Development Economic growth Emerging markets Food supply France GDP Germany Gross Domestic Product Humans International finance Investments Italy Outbreaks Pandemics Pandemics - economics Pneumonia, Viral - economics Recessions Romania SARS-CoV-2 Securities markets Severe acute respiratory syndrome coronavirus 2 Silver Social responsibility Spain Stock exchanges Supply chains Sustainability United Kingdom United States |
title | Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis |
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