Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11092
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPatel, Nikunj-
dc.contributor.authorPatel, Bhavesh-
dc.date.accessioned2022-04-30T09:21:11Z-
dc.date.available2022-04-30T09:21:11Z-
dc.date.issued2021-12-21-
dc.identifier.issn1097-4954-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11092-
dc.descriptionGlobal Business and Economics Review, Vol. 26, (1), 2022en_US
dc.description.abstractAbstract: Financial integration plays a decisive role to the institutional investors for diversification of their investment portfolio(s). This research investigates the integration of selected stock markets (India, Australia, China, Spain, UK, and the USA) from different continents that are highly affected by COVID-19, employing the autoregressive distributed lag approach using daily data from 2 January 2011 to 7 May 2020. The outcomes show evidence of long and short-run integration among the markets. The rest of the markets are co-integrated with the markets of India, China, and UK. India has a long-run equilibrium with the USA and Spain, whereas China has a long-run association with Spain, and the UK has a long-run association with the USA. In short-run, India is positively influenced by the returns of rest of the markets, whereas all the markets under the study except USA influence China. Further, the UK’s market is significantly inclined negatively by its own past innovations.en_US
dc.publisherGlobal Business and Economics Reviewen_US
dc.subjectFaculty Paperen_US
dc.subjectFaculty Paper, Managementen_US
dc.subjectManagement, Faculty Paperen_US
dc.subjectCOVID-19en_US
dc.subjectStock market integrationen_US
dc.titleIntegration of stock markets using autoregressive distributed lag bounds test approachen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, IM

Files in This Item:
File Description SizeFormat 
RPP_IM_2022_001 NP&BP_Done.pdf182.67 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.