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dc.contributor.authorFareed, Z.en
dc.contributor.authorAbbas, S.en
dc.contributor.authorMadureira, L.en
dc.contributor.authorWang, Z.en
dc.date.accessioned2024-04-22T15:53:44Z-
dc.date.available2024-04-22T15:53:44Z-
dc.date.issued2022-
dc.identifier.citationFareed, Z, Abbas, S, Madureira, L & Wang, Z 2022, 'Green stocks, crypto asset, crude oil and COVID19 pandemic: Application of rolling window multiple correlation', Resources Policy, Том. 79, 102965. https://doi.org/10.1016/j.resourpol.2022.102965harvard_pure
dc.identifier.citationFareed, Z., Abbas, S., Madureira, L., & Wang, Z. (2022). Green stocks, crypto asset, crude oil and COVID19 pandemic: Application of rolling window multiple correlation. Resources Policy, 79, [102965]. https://doi.org/10.1016/j.resourpol.2022.102965apa_pure
dc.identifier.issn0301-4207
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access; Green Open Access3
dc.identifier.otherhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC94368981
dc.identifier.otherhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436898pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/132484-
dc.description.abstractThe COVID-19 pandemic disrupted almost all spares of global social, psychological, and economic life. The emergence of various variants and corresponding variations in daily infection asymmetrically influenced economic indicators. This study extends the existing literature by exploring the hedging potential of crude oil, carbon efficiency index of green firms, and bitcoin during this pandemic. This objective is realized by employing the recently advanced rolling window multiple correlation of Polanco-Martínez (2020). This approach is based on the new p-value corrected method, which has advantages over other correlation methods. The sample observations are based on daily data from 1/22/2020 to 12/20/2021. In the bivariate case, we find a significant positive correlation between COVID-19 and CEI, while a negative impact is observed between COVID-19 and WTI. Similarly, we observe a significant and nonlinear association between COVID-19 and BTC. However, our findings show positive and significant correlations among variables in the multivariate case. The overall findings show that CEI and BTC can be safe havens for investors during this worse pandemic. The study's robust findings can be used to derive important policy implications worldwide during the COVID-19 pandemic. © 2022 Elsevier Ltden
dc.description.sponsorshipFundação para a Ciência e a Tecnologia, FCT, (UIDP/04011/2020)en
dc.description.sponsorshipMinistry of Education of the People's Republic of China, MOE, (201802100011)en
dc.description.sponsorshipFunding text 1: •R&D project DATA4LOWDENSity COLab, FCT - Fundação para a Ciência e a Tecnologia, Portugal ( UIDP/04011/2020 ).en
dc.description.sponsorshipFunding text 2: • Collaborative education project of the Ministry of Education , grant no. 201802100011 .en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier Ltden
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.sourceResources Policy2
dc.sourceResources Policyen
dc.subjectCARBON EFFICIENCY INDEXen
dc.subjectCOVID-19en
dc.subjectCRYPTOCURRENCYen
dc.subjectOIL MARKETen
dc.subjectCARBONen
dc.subjectCORRELATION METHODSen
dc.subjectCRUDE OILen
dc.subjectEFFICIENCYen
dc.subjectELECTRONIC MONEYen
dc.subjectINVESTMENTSen
dc.subjectPUBLIC POLICYen
dc.subjectCARBON EFFICIENCYen
dc.subjectCARBON EFFICIENCY INDEXen
dc.subjectECONOMIC INDICATORSen
dc.subjectECONOMIC LIFEen
dc.subjectEFFICIENCY INDEXen
dc.subjectMULTIPLE CORRELATIONen
dc.subjectOIL MARKETen
dc.subjectROLLING WINDOWen
dc.subjectSOCIAL LIFEen
dc.subjectSOCIAL-ECONOMICen
dc.subjectCARBONen
dc.subjectCORRELATIONen
dc.subjectCOVID-19en
dc.subjectCRUDE OILen
dc.subjectCURRENCYen
dc.subjectDISEASE SPREADen
dc.subjectEPIDEMICen
dc.subjectSTOCK MARKETen
dc.subjectCOVID-19en
dc.titleGreen stocks, crypto asset, crude oil and COVID19 pandemic: Application of rolling window multiple correlationen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.resourpol.2022.102965-
dc.identifier.scopus85138060468-
local.contributor.employeeFareed Z., School of Economics and Management, Huzhou University, Zhejiang Province, Huzhou, 313000, China, Centre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugalen
local.contributor.employeeAbbas S., Graduate School of Economics and Management, Ural Federal University, Ekaterinburg, Russian Federationen
local.contributor.employeeMadureira L., Centre for Transdisciplinary Development Studies (CETRAD), Portugal, Department of Economics, Sociology and Management (DESG), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugalen
local.contributor.employeeWang Z., School of Accounting, Nanjing University of Finance and Economics, 3rd Wenyuan Road, Jiangsu, Nanjing, 210023, Chinaen
local.issue23
local.volume79
dc.identifier.wos000864527500009-
local.contributor.departmentSchool of Economics and Management, Huzhou University, Zhejiang Province, Huzhou, 313000, Chinaen
local.contributor.departmentCentre for Transdisciplinary Development Studies (CETRAD), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugalen
local.contributor.departmentGraduate School of Economics and Management, Ural Federal University, Ekaterinburg, Russian Federationen
local.contributor.departmentCentre for Transdisciplinary Development Studies (CETRAD), Portugalen
local.contributor.departmentDepartment of Economics, Sociology and Management (DESG), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugalen
local.contributor.departmentSchool of Accounting, Nanjing University of Finance and Economics, 3rd Wenyuan Road, Jiangsu, Nanjing, 210023, Chinaen
local.identifier.pure9f5c5e05-416f-4a8d-988f-2cbcdc730fbauuid
local.identifier.pure30980330-
local.description.order102965
local.identifier.eid2-s2.0-85138060468-
local.identifier.wosWOS:000864527500009-
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