Volume 27, Issue 3 (Autunm 2022)                   JPBUD 2022, 27(3): 3-26 | Back to browse issues page


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Khiabani N, Bozorg S. (2022). Dependence Structure of Yuan and Euro Before and After Yuan Joined SDR Basket: Copula Time-varying Approach. JPBUD. 27(3), 3-26. doi:10.52547/jpbud.27.3.3
URL: http://jpbud.ir/article-1-2114-en.html
1- Department of Economics Allameh Tabatabai University, Tehran, Iran,
2- Allameh Tabatabai University, Tehran, Iran.
Abstract:   (1095 Views)
This paper examines the dependence structure between two currencies (Yuan and Euro) before and after Yuan joins the SDR basket. To this end, we propose SJC copula Time-varying approach for the daily closing price of these currencies for the period 2005-2020. According to the evidence, the behavior of Chinese monetary authorities in response to Euro - Dollar has changed. In the first period, exchange rates are more correlated when they are depreciating against dollar compared to when they are appreciating. This means that the Chinese monetary authorities' priority has been to maintain a competitive advantage in world trade and thus to intervene to depreciate yuan as euro depreciates against dollar. In the second period, with the internationalization of yuan, China's strategy changed and reacted more drastically to the appreciation of Euro against dollar; PBOC intervenes to appreciate Yuan, stabilizing its currency price. In this case, by supporting investors, it encourages them to maintain and even increase the Yuan share in their portfolio.

Full-Text [PDF 1734 kb]   (377 Downloads)    
Type of Study: Research | Subject: financial economics
Received: Jun 12 2022 | Accepted: Nov 29 2022 | ePublished: Feb 08 2023

References
1. Antonakakis, N. (2012). Exchange Return Co-Movements and Volatility Spillovers Before and After the Introduction of Euro. Journal of International Financial Markets, Institutions and Money, 22(5), 1091-1109. [DOI:10.1016/j.intfin.2012.05.009]
2. Boero, G., Silvapulle, P., & Tursunalieva, A. (2011). Modelling the Bivariate Dependence Structure of Exchange Rates Before and After the Introduction of the Euro: A Semi‐Parametric Approach. International Journal of Finance & Economics, 16(4), 357-374. [DOI:10.1002/ijfe.434]
3. Chen, C., Siregar, R., & You, M. (2013). RMB as an Anchor Currency in ASEAN, China, Japan and Korea Region. Journal of Asian Economics, 2(4), 36-54.
4. Diebold, F. X., & Yilmaz, K. (2015). Trans-Atlantic Equity Volatility Connectedness: US and European Financial Institutions, 2004-2014. Journal of Financial Econometrics, 14(1), 81-127. [DOI:10.2139/ssrn.3680198]
5. Engle, R. (2002). New Frontiers for ARCH Models. Journal of Applied Econometrics, 17(5), 425-446. [DOI:10.1002/jae.683]
6. Ho, C., Ma, G., & McCauley, R. N. (2005). Trading Asian Currencies. BIS Quarterly Review, 49-58.
7. Ito, T. (2010). China as Number One: How About the Renminbi? Asian Economic Policy Review, 5(2), 249-276. [DOI:10.1111/j.1748-3131.2010.01169.x]
8. Patton, A. J. (2001). Modelling Time-Varying Exchange Rate Dependence Using the Conditional Copula. University of California, San Diego, Discussion Paper 2001-09. [DOI:10.2139/ssrn.275591]
9. Patton, A. J. (2006). Modelling Asymmetric Exchange Rate Dependence. International Economic Review, 47(2), 527-556. [DOI:10.1111/j.1468-2354.2006.00387.x]
10. Pontines, V., & Siregar, R. Y. (2012). Fear of Appreciation in East and Southeast Asia: The Role of the Chinese Renminbi. Journal of Asian Economics, 23(4), 324-334. [DOI:10.1016/j.asieco.2012.03.005]
11. Shu, C. (2010). Impact of the Renminbi Exchange Rate on Asian Currencies. In Currency Internationalization: Global Experiences and Implications for the Renminbi (pp. 221-235): Palgrave Macmillan. [DOI:10.1057/9780230245785_10]
12. Shu, C., He, D., & Cheng, X. (2015). One Currency, Two Markets: The Renminbi's Growing Influence in Asia-Pacific. China Economic Review, 33(1), 163-178. [DOI:10.1016/j.chieco.2015.01.013]
13. Singh, A. K., Allen, D. E., & Powell, R. J. (2011). Evaluating Extremal Dependence in Stock Markets Using Extreme Value Theory. 19th International Congress on Modelling and Simulation, Perth, Australia.
14. Sklar, M. (1959). Fonctions de repartition an dimensions et leurs marges. Publications de l'Institut de statistique de l'Université de Paris, 8(1), 229-231.
15. Tamakoshi, G., & Hamori, S. (2014). Co-Movements among Major European Exchange Rates: A Multivariate Time-Varying Asymmetric Approach. International Review of Economics & Finance, 31(1), 105-113. [DOI:10.1016/j.iref.2014.01.016]
16. Wang, G.-J., & Xie, C. (2013). Cross-Correlations between Renminbi and Four Major Currencies in the Renminbi Currency Basket. Physica A: Statistical Mechanics and Its Applications, 392(6), 1418-1428. [DOI:10.1016/j.physa.2012.11.035]
17. Wang, Y.-C., Tsai, J.-J., & Lu, L. (2019). The Impact of Chinese Monetary Policy on Co-Movements between Money and Capital Markets. Applied Economics, 51(45), 4939-4955 [DOI:10.1080/00036846.2019.1606407]
18. Wong, A. Y.-T., & Fong, T. P. W. (2018). Safehavenness of Currencies. The European Journal of Finance, 24(4), 300-332. [DOI:10.1080/1351847X.2016.1239584]

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