https://socictopen.socict.org/files/original/6c5110b58752bcf6f1c87f09ee02247a.pdf 081a38d0cd1e5cda03732dbf0f9b2b8a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Impact of COVID-19 Pandemic on the Financial Contagion among Turkey, US, and China Stock Markets Creator An entity primarily responsible for making the resource Ecenur UĞURLU YILDIRIM Description An account of the resource Purpose – The aim of this study is to empirically examine the impact of COVID-19 on the dynamiccorrelation among the stock markets of Turkey, the United States, and China, and demonstrate theeffects of search-based investor attention and newspaper-based infectious disease equity marketvolatility on the correlation among these markets.Design/methodology/approach – In this study, VAR(1)-DCC-GARCH(1,1) methodology isemployed to examine the changes in the variances and dynamic correlations among markets afterthe outbreak of Covid-19. Then, least square regression analyses are done to examine the influencesof search-based sentiment and newspaper-based infectious disease equity market volatility on thecorrelations obtained from VAR(1)-DCC-GARCH(1,1) model.Findings – Findings of this study demonstrate that the integration of the China stock market withTurkey and the US markets diminishes after the outbreak of a pandemic, while the dynamiccorrelation between the US and Turkey stock markets does not change significantly after Covid-19.Moreover, we present that increase in the media coverage of the Covid-19 related equity marketvolatility and search-based sentiment have explanatory power on the correlation between Turkeyand US markets, especially after the Covid-19 is pronounced as a pandemic. Likewise, individualattention to Covid-19 negatively influences the correlation between Turkey and China.Discussion – This study presents that stock market integration is highly related to human health.Therefore, the results of this study offer inputs to investors and policymakers that can be used duringinfectious disease periods. Moreover, as public attention has a significant impact on theinternational stock market correlation, media coverages and information releases during lowfrequency, high severity events should be managed wisely. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, dynamic conditional correlation, search-based attention Identifier An unambiguous reference to the resource within a given context 10.20491/isarder.2020.1006 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Business