Dynamic Correlation of Exchange Rate, Export and Import Volatility with The Global Economic Policy Uncertainty Index (Application of M-GARRCH and DCC Approach)

Document Type : Research Article

Authors

Assistant Professor of Economics, Faculty of Humanities, Bozorgmehr University of Qaenat, Qaen, South Khorasan, Iran

Abstract

Given the interaction of countries at the global level, the dynamics of international markets can affect the domestic economy of countries. Changes in economic conditions and related uncertainties in different economies of the world affect trade relations and foreign trade variables. In this study, the effect of global economic policy uncertainty on the volatility of export, import and exchange rate variables in Iran has been investigated using monthly data for the period April 2004 to March 2017. The correlation of the mentioned variables in Iran has been investigated using the dynamic conditional correlation model of GARCH (DCC-GARCH). The results obtained from the model show that the use of dynamic conditional correlation model is more appropriate than the fixed conditional correlation model. According to the research results, volatility in global economic policy have a significant effect on volatility of exports, imports and real exchange rates. The results of this article show that fluctuations in global economic policy may have different effects on Iran's trade with other countries. If different firms with different financing need to export or import, then it is acceptable that economic policy fluctuations should have a different impact on their international trade decisions, and ultimately economic activity will be subject to change. Given the impact of global economic policy uncertainty on trade, policymakers must consider the impact of global economic developments on the domestic economy in their decisions, and pay attention to the structure of the correlation between domestic markets and global conditions. In this regard, the necessary support programs should be set for activities that are most affected by global developments.

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References

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Journal of Applied Economics Studies in Iran
Volume 10, Issue 37
April 2021
Pages 135-167

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