The empirical relationship between the value of rupee and performance of information technology firms: evidence from India

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Author(s)
Paramati, SR
Gupta, R
Maheshwari, S
Nagar, V
Griffith University Author(s)
Year published
2016
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This study investigates the dynamic linkages between exchange rates of Indian Rupee-US Dollar and stock prices of four Indian information technology (IT) companies. The study utilises daily data of closing stock prices of IT companies and exchange rates for the period of August 2004 to September 2013. Empirical results of AGDCC GARCH model suggest that correlations are time-varying and are largely negatively associated over time. This indicates that there is an inverse relationship between the movements of exchange rates and the performance of IT companies. Further, co integration test results show no significant long-run ...
View more >This study investigates the dynamic linkages between exchange rates of Indian Rupee-US Dollar and stock prices of four Indian information technology (IT) companies. The study utilises daily data of closing stock prices of IT companies and exchange rates for the period of August 2004 to September 2013. Empirical results of AGDCC GARCH model suggest that correlations are time-varying and are largely negatively associated over time. This indicates that there is an inverse relationship between the movements of exchange rates and the performance of IT companies. Further, co integration test results show no significant long-run equilibrium relationship between exchange rates and stock prices of IT companies. Finally, Granger non-causality test results reveal that the null hypothesis of IT companies does not Granger cause exchange rates is strongly rejected at 5% significance level and no evidence of reverse causality is found. These findings suggest that exchange rates do not drive the performance of IT companies in India.
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View more >This study investigates the dynamic linkages between exchange rates of Indian Rupee-US Dollar and stock prices of four Indian information technology (IT) companies. The study utilises daily data of closing stock prices of IT companies and exchange rates for the period of August 2004 to September 2013. Empirical results of AGDCC GARCH model suggest that correlations are time-varying and are largely negatively associated over time. This indicates that there is an inverse relationship between the movements of exchange rates and the performance of IT companies. Further, co integration test results show no significant long-run equilibrium relationship between exchange rates and stock prices of IT companies. Finally, Granger non-causality test results reveal that the null hypothesis of IT companies does not Granger cause exchange rates is strongly rejected at 5% significance level and no evidence of reverse causality is found. These findings suggest that exchange rates do not drive the performance of IT companies in India.
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Journal Title
International Journal of Business and Globalisation
Volume
16
Issue
4
Copyright Statement
© 2016 Inderscience Publishers. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal website for access to the definitive, published version.
Subject
Banking, finance and investment