The Jump Dynamics of the Industry-Specific Nominal Effective Exchange Rate of RMB and the Impact of Major International Currencies on It—An Empirical Study Based on the ARJI Model — Oak Academic Publishing
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The Jump Dynamics of the Industry-Specific Nominal Effective Exchange Rate of RMB and the Impact of Major International Currencies on It—An Empirical Study Based on the ARJI Model
Institute of Industrial Economics, Jinan University, Guangzhou, China
1 Institute of Industrial Economics, Jinan University, Guangzhou, China
In this paper, the Autoregressive Jump Intensity (ARJI) model with time-varying jumps is used to measure the daily exchange rate volatility and jump intensity of 13 Chinese manufacturing segments from January 1, 2001 to June 30, 2017. The statistical characteristics are analyzed and compared. We further explore the impact of international major payment currencies’ volatility on the industry-specific nominal effective exchange rate (INEER) risks for various industries in China. First, the results show that there are certain differences in exchange rate fluctuation and jump dynamics between different industries. The exchange rate volatility and jump intensity for paper, non-metal and metal industries are small, while for petroleum, rubber, electrical machinery and other industries are larger. Second, the U.S. dollar, German mark and Japanese yen have significantly different effects on exchange rate fluctuations and jump risks in various industries, and the degree of impact is weakened in turn. Finally, the analysis of the sub-sample shows that after the financial crisis, the impact of dollar and yen on the fluctuations of INEER for most industries has declined significantly, and the impact of mark has generally increased.
Akgiray, V., & Booth, G. G. (1988). Mixed Diffusion-Jump Process Modeling of Exchange Rate Movements. Review of Economics & Statistics, 70, 631-637. https://doi.org/10.2307/1935826
Ball, C. A., & Torous, W. N. (1983). Bond Price Dynamics and Options. Journal of Financial & Quantitative Analysis, 18, 517-531. https://doi.org/10.2307/2330945
Bates, D. S. (1991). The Crash of ’87: Was It Expected? The Evidence from Options Markets. Journal of Finance, 46, 1009-1044. https://doi.org/10.1111/j.1540-6261.1991.tb03775.x
Bayoumi, T., & Eichengreen, B. (1998). Exchange Rate Volatility and Intervention: Implications of the Theory of Optimum Currency Areas. Journal of International Economics, 45, 191-209. https://doi.org/10.1016/S0022-1996(98)00032-4
Bollerslev, T. P. (1986). Generalized Autoregressive Conditional Heteroskedasticity with Applications in Finance. General Information, 31, 307-327.
Bollerslev, T., Law, T. H., & Tauchen, G. (2008). Risk, Jumps, and Diversification. Journal of Econometrics, 144, 234-256. https://doi.org/10.1016/j.jeconom.2008.01.006
Chan, W. H., & Maheu, J. M. (2002). Conditional Jump Dynamics in Stock Market Returns. Journal of Business & Economic Statistics, 20, 377-389. https://doi.org/10.1198/073500102288618513
Chen, B. K., Wan, X. L., & Fu, X. G. (2010). RMB Exchange Rate, Export Prices and China’s Export Competitiveness—A Study Based on Industry-Level Data. Journal of Financial Research, No. 12, 30-42.
Chernov, M., Gallant, A. R., Ghysels, E., & Tauchen, G. (1999). A New Class of Stochastic Volatility Models with Jumps: Theory and Estimation. https://ssrn.com/abstract=189628
Das, S. R. (1998). Poisson-Gaussian Processes and the Bond Market. NBER Working Paper No. 6631, Cambridge, MA: National Bureau of Economic Research. https://doi.org/10.3386/w6631
Devereux, M. B., & Engel, C. (2002). Exchange Rate Pass-Through, Exchange Rate Volatility, and Exchange Rate Disconnect. Journal of Monetary Economics, 49, 913-940. https://doi.org/10.1016/S0304-3932(02)00130-7
Engle, R. F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50, 987-1007. https://doi.org/10.2307/1912773
Engle, R. F., Lilien, D. M., & Robins, R. P. (1987). Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model. Econometrica, 55, 391-407. https://doi.org/10.2307/1913242
Eraker, B., Johannes, M., & Polson, N. (2003). The Impact of Jumps in Volatility and Returns. Journal of Finance, 58, 1269-1300. https://doi.org/10.1111/1540-6261.00566
Fazio, G., Mcadam, P., & Macdonald, R. (2007). Disaggregate Real Exchange Rate Behaviour. Open Economies Review, 18, 389-404. https://doi.org/10.1007/s11079-007-9055-3
Fortune, P. (1999). Are Stock Returns Different over Weekends? A Jump Diffusion Analysis of the “Weekend Effect”. New England Economic Review, 10, 3-19.
Frankel, J. A., & Wei, S .J. (1994). Yen Bloc or Dollar Bloc? Exchange Rate Policies of the EAST ASIAN ECONomies. In T. Ito, & A. O. Krueger, (Eds.), Macroeconomic Linkage: Savings, Exchange Rates, and Capital Flows, Chicago, IL: University of Chicago Press.
Giannellis, N., & Papadopoulos, A. P. (2011). What Causes Exchange Rate Volatility? Evidence from Selected EMU Members and Candidates for EMU Membership Countries. Journal of International Money & Finance, 30, 39-61. https://doi.org/10.1016/j.jimonfin.2010.07.002
Glosten, L. R., Jagannathan, R., & Runkle, D. E. (1993). On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks. Staff Report, 48, 1779-1801.
Goldberg, L. S. (2004). Industry-Specific Exchange Rates for the United States. Economic Policy Review, 10, 1-16.
Hsieh, D. A. (1989). Modeling Heteroscedasticity in Daily Foreign-Exchange Rates. Journal of Business & Economic Statistics, 7, 307-317.
Jorion, P. (1988). On Jump Processes in the Foreign Exchange and Stock Markets. Review of Financial Studies, 1, 427-445. https://doi.org/10.1093/rfs/1.4.427
Li, G. Z., Zhu, J. Q., & Li, J. (2016). Understanding Bilateral Exchange Rate Risks. Journal of International Money & Finance, 68, 103-129. https://doi.org/10.1016/j.jimonfin.2016.07.008
Li, J., Li, G., & Zhou, Y. (2015). Do Securitized Real Estate Markets Jump? International Evidence. Pacific-Basin Finance Journal, 31, 13-35. https://doi.org/10.1016/j.pacfin.2014.11.001
Maheu, J. M., & Mccurdy, T. H. (2004). News Arrival, Jump Dynamics, and Volatility Components for Individual Stock Returns. Journal of Finance, 59, 755-793. https://doi.org/10.1111/j.1540-6261.2004.00648.x
Press, S. J. (1967). A Compound Events Model for Security Prices. Journal of Business, 40, 317-335. https://doi.org/10.1086/294980
Sato, K., Shimizu, J., Shrestha, N., & Zhang, S. (2013). Industry-Specific Real Effective Exchange Rates and Export Price Competitiveness: The Cases of Japan, China, and Korea. Asian Economic Policy Review, 8, 298-321. https://doi.org/10.1111/aepr.12032
Sato, K., Shimizu, J., Shrestha, N., & Zhang, S. (2015). Industry-Specific Real Effective Exchange Rates in Asia. Discussion Papers, Japan: Research Institute of Economy, Trade and Industry (RIETI).
Tong, H. F., & Liu, H. W. (2006). An Empirical Analysis of the Jumping Characteristic of the Return and Volatility of Chinese Stock Market. South China Journal of Economics No. 5, 61-72.
Tucker, A. L., & Pond, L. (1988). The Probability Distribution of Foreign Exchange Price Changes: Tests of Candidate Processes. Review of Economics & Statistics, 70, 638-647. https://doi.org/10.2307/1935827
Vlaar, P. G., & Palm, F. (1993). The Message in Weekly Exchange Rates in the European Monetary System: Mean Reversion, Conditional Heteroscedasticity, and Jumps. Journal of Business & Economic Statistics, 11, 351-360.
Wang, H. F., & Li, Q. S. (2017). The Depth of China’s Gold: Possibility and Impact of Sino-US Trade War. https://wallstreetcn.com/articles/283859
Wolff, C. C., Nieuwland, F. G. M. C., & Verschoor, W. F. C. (1994). Stochastic Jumps in EMS Exchange Rates. Journal of International Money & Finance, 13, 699-727. https://doi.org/10.1016/0261-5606(94)90039-6
Xu, J. W., & Tian, F. (2013). Calculation of Industry-Specific Real Effective Exchange Rate in China: from 2000 to 2009. The Journal of World Economy, No. 5, 21-36.
Yang, Z. Y., & Chen, L. N. (2001). Index Option Model Based on Jump Process. Economic Research Journal, No. 2, 61-66.
Zou, H. Y., You, J., & Fu, X. (2016). The Industry-Specific Nominal Effective Exchange Rate of RMB and Its Impact on the Rate of Industry-specific Returns. Microeconomics, No. 4, 88-96.