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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8914
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dc.contributor.authorBal, Debi Prasad-
dc.date.accessioned2023-02-02T10:21:05Z-
dc.date.available2023-02-02T10:21:05Z-
dc.date.issued2022-12-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0301420722005694-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8914-
dc.description.abstractThis study examines the dynamic relationship between the gold price and the exchange rate in pre- and during Covid-19 pandemic in India. We consider the periods of about equal length for both the pre- and during Covid-19 by considering the data from January 1, 2019 till February 28, 2021. The descriptive analysis shows a significant increase in the dynamics of gold price and exchange rate after mid-March 2020. The results derived from the ARDL approach show a positive and significant relationship between the gold price and exchange rate both in the long and short run. We have selected the best fitted bivariate copula to study the joint distribution of the gold price and the exchange rate. Using the copula model, we examine the relationship between the gold price and exchange rate in a bivariate framework. We have studied the dependence between them including the tail dependencies using the fitted copula. Our findings reveal that the gold price and exchange rate are significantly correlated for the entire study period, and it also reveals that there is no tail dependence. However, the mutual association between the variables is not confirmed in the considered Covid-19 period.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectEconomics and Financeen_US
dc.subjectGold priceen_US
dc.subjectHedgingen_US
dc.subjectExchange rateen_US
dc.subjectARDLen_US
dc.subjectCopulaen_US
dc.subjectDependenciesen_US
dc.titleGold price and exchange rate in pre and during Covid-19 period in India: Modelling dependence using copulasen_US
dc.typeArticleen_US
Appears in Collections:Department of Economics and Finance

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