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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/123456789/8931
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dc.contributor.authorBal, Debi Prasad-
dc.date.accessioned2023-02-03T06:15:05Z-
dc.date.available2023-02-03T06:15:05Z-
dc.date.issued2015-09-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0140988315001899-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8931-
dc.description.abstractWhile several studies have examined the linear causal relationship between oil prices and exchange rates, little is known about the nonlinear causality between these two variables. The present paper tries to fill this research gap in the context of India and China. By applying the Hiemstra and Jones (1994) nonlinear Granger causality test to the VAR residuals, the study finds a significant bi-directional nonlinear Granger causality between oil prices and exchange rates in both countries. The findings suggest that the nonlinearity of oil price influences the exchange rate irrespective of the exchange rate regimes. Further, to check robustness, the persistence in the variance of oil price and exchange rate is taken into account using a GARCH (1, 1) model. While the results consistently hold in the case of India, with respect to China, a unidirectional causality runs from exchange rate to oil price. However, the oil price in China does not Granger cause exchange rate.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectEconomics and Financeen_US
dc.subjectNonlinear causalityen_US
dc.subjectBDS testen_US
dc.subjectOil priceen_US
dc.subjectExchange rateen_US
dc.subjectVolatility persistenceen_US
dc.titleNonlinear causality between crude oil price and exchange rate: A comparative study of China and Indiaen_US
dc.typeArticleen_US
Appears in Collections:Department of Economics and Finance

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