Abstract
The purpose of this research is to provide the evidence on the relationship between Real Exchange rate (REXR) against US dollar and macroeconomic variables in Pakistan. This study has taken real exchange rate is dependent variable and some other macroeconomic variables are as independent variables. To examine this relationship the ordinary least square regression (OLS) technique is used. This technique was used by Zamir et al. (2017). The results shows that current balance (CB) is negatively significant at 10% level, the inflation and foreign direct investment (FDI) is also negatively significant at 5, 1% respectively. But the Gross domestic product per capita (GDP) is positively significant at 5% level. The Trade openness (OP) shows no important relation with real exchange rate (REXR). Further the ARCH LM test provides result there is no serial correlation and to check the heteroskedasticity whit test is used this test shows the result there is no heteroskedasticity. This study is helpful for international investor and also to increase export for a country.
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Mohsin, M., Naiwen, L., Majeed, M.K., Naseem, S. (2018). Impact of Macroeconomic Variables on Exchange Rate: An Evidence from Pakistan. In: Tsounis, N., Vlachvei, A. (eds) Advances in Time Series Data Methods in Applied Economic Research. ICOAE 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-02194-8_22
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DOI: https://doi.org/10.1007/978-3-030-02194-8_22
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