Exploring the Causal Relationship Between Interest Rate Differential and Exchange Rates of China and The U.S.: Frequency Domain Approach

Authors

  • Danhua Yan

DOI:

https://doi.org/10.62051/kdnejw39

Keywords:

Interest rate differential; exchange rate; cointegration test; frequency causality test.

Abstract

In recent years, China has been actively opening up and internationalizing its financial markets, so it is meaningful to study the relationship between the interest rate differential and exchange rate between China and the United States. This study uses the data from January 1996 to September 2015 to investigate the linkage between the interest rate differential and the exchange rate of the RMB between China and the United States using frequency causality test. Theoretically, interest rate differential and exchange rates should have Granger causality, but the empirical results show that there is no long-run relationship of cointegration between the China-U.S. interest rate differential and the RMB exchange rates in the cointegration test. In the frequency causality test, it is found that the RMB exchange rate has a long-run and medium-run unidirectional causality on the China-US interest rate differential, while the China-U.S. interest rate differential does not have long-run, medium-run and short-run frequency causality on the RMB exchange rate.

Downloads

Download data is not yet available.

References

[1] Dornbusch, Rudiger. Exchange rate expectations and monetary policy. Journal of International Economics, 1976, 6(3):231-244.

[2] Fama, Eugene F. Forward and spot exchange rates. Journal of Monetary Economics,1984, 14(3):319-338.

[3] Meredith, Guy, Menzie D. Chinn. Long-Horizon Uncovered Interest Rate Parity. NBER Working paper 6797,1998.

[4] Hatemi J, A., Irandoust, M. Exchange Rates and Interest Rates: can Their Causality Explain International Capital Mobility? The International Trade Journal, 2000, 14(3):299-314.

[5] Gyntelberg, Jacob, Eli M Remolona. Risk in carry trades: a look at target currencies in Asia and the Pacific. BIS Quarterly Review, 2007.

[6] Jiang, Jiadan, David Kim. Exchange rate pass-through to inflation in China. Economic Modelling, 2013, 33:900-912.

[7] Si, Deng-Kui, Li, Xiao-Lin, Chang, Tsangyao, Lu Bai. Co-movement and Causality between Nominal Exchange Rates and Interest Rate Differentials in BRICS Countries: A Wavelet Analysis. Journal for Economic Forecasting, 2018, 1:5-19.

[8] Dhamotharan L, Ismail MT. Exchange rate and interest rate differential in China: a wavelet approach. Advanced Science Letters, 2015, 21(6):1734-1737.

[9] Johansen, Søren. Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 1988, 12(2-3):231-254.

[10] Granger CWJ. Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 1969, 37:424-438.

[11] Breitung, Jörg, Bertrand Candelon. Testing for short- and long-run causality: A frequency-domain approach. Journal of Econometrics,2006, 132(2):363-378.

Downloads

Published

05-11-2024

How to Cite

Yan, D. (2024). Exploring the Causal Relationship Between Interest Rate Differential and Exchange Rates of China and The U.S.: Frequency Domain Approach. Transactions on Economics, Business and Management Research, 11, 159-166. https://doi.org/10.62051/kdnejw39