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Time Series Analysis of the Connection between Exchange Rate of EUR/USD, Bond Yields, and Trade Growth
- 1 Graduate School of Art and Science, Columbia University, New York, 10027, The United States
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Abstract
In the context of the growing importance of global trade, the US dollar plays a crucial role as the currency for international transactions. The exchange rate of the dollar and the monetary policies of other countries influence each other. This study delves into the connection among the exchange rate of Euro/United States dollar (EUR/USD), the 10-year government bond rates with the international trade growth rates of 20 European countries from January 1991 to December 2016. By employing descriptive statistics, correlation analysis, regression modeling, and time series analysis, this research aims to uncover the underlying dependencies and predictive insights among these financial variables. The results indicate that the EUR/USD exchange rate has an insignificant impact on bond yields (R² = 0.003), suggesting that other factors such as monetary policy, inflation expectations, and market liquidity play more significant roles. However, a weaker currency is linked to lower growth rates is shown by a strong negative correlation for the exchange rate and trade growth rates (R² = 0.210). The multivariate regression model shows that bond yields and trade growth rates together explain 44.5% of the exchange rate variations, highlighting the interconnections among these economic variables. These findings highlight the necessity for policymakers to take these interconnected factors into account when developing economic and monetary policies to ensure stable and sustainable economic growth.
Keywords
Time series, Exchange rate, Bond yield, International trade growth rate
[1]. Joscha, B. and Robert. C. (2017) Exchange rate expectations and economic policy uncertainty. European Journal of Political Economy, 47, 148-162.
[2]. Degasperi, R., Hong. S. and Ricco, G. (2020) The Global Transmission of U.S. Monetary Policy. CEPR Discussion Paper, 14533.
[3]. Riccardo, D., Seokki, Hong. and Giovanni, R. (2020) The Global Transmission of U.S. Monetary Policy. CEPR Discussion Paper, 14533.
[4]. Valchev, R. (2020) Bond Convenience Yields and Exchange Rate Dynamics. American Economic Journal: Macroeconomics, 12(2), 124-66.
[5]. Morina, F., Eglantina, H., Uğur, E., Mirela, P. and Marian, C.V. (2020) The Effect of Exchange Rate Volatility on Economic Growth: Case of the CEE Countries. Journal of Risk and Financial Management, 13, 177.
[6]. Akalpler, E. and Duhok, D. (2018) Does monetary policy affect economic growth: evidence from Malaysia. Journal of Economic and Administrative Sciences, 34, 2-20.
[7]. Suhadak and Dwi Suciany, A. (2020) Brief technical note: The influence of exchange rates on inflation, interest rates and the composite stock price index: Indonesia 2015 - 2018. Australasian Accounting, Business and Finance Journal, 14.
[8]. Maganioti, Y. and Han, J. (2020) The Impact of Exchange Rate Fluctuation on Economic Growth – Empirical Studies Based on Different Countries. Proceedings of the 4th International Symposium on Business Corporation and Development in South-East and South Asia under B&R Initiative, Atlantis Press, 29-33.
[9]. Bhargava, V. and Konku, D. (2023) Impact of exchange rate fluctuations on US stock market returns. Managerial Finance, 49(10), 1535-1557.
[10]. Akram, T. (2021) A Note Concerning the Dynamics of Government Bond Yields. The American Economist, 66(2), 323-339.
Cite this article
Zhang,Y. (2024). Time Series Analysis of the Connection between Exchange Rate of EUR/USD, Bond Yields, and Trade Growth. Theoretical and Natural Science,52,207-213.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of CONF-MPCS 2024 Workshop: Quantum Machine Learning: Bridging Quantum Physics and Computational Simulations
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