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The effectiveness of China’s RMB exchange rate reforms: An insight from multifractal detrended fluctuation analysis

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  • Qin, Jing
  • Lu, Xinsheng
  • Zhou, Ying
  • Qu, Ling

Abstract

This paper examines the effectiveness of the RMB regime reforms on market efficiency improving for the mainland onshore market and Hong Kong offshore market. Based on multifractal detrended fluctuation analysis (MF-DFA), we study the multifractal properties as well as multifractality degree of RMB/USD and RMB/HKD exchange markets. Our empirical results show that, the first RMB regime reform undertaken on July 21, 2005 has a greater impact on RMB/USD exchange market in the short term, while the second RMB exchange reform undertaken on June 19, 2010 exerts the long-term influences on the efficiency of both RMB/USD and RMB/HKD markets. Further, RMB/HKD market is found to work more efficiently, although both mainland onshore market and Hong Kong offshore market have achieved a higher level of efficiency post reforms.

Suggested Citation

  • Qin, Jing & Lu, Xinsheng & Zhou, Ying & Qu, Ling, 2015. "The effectiveness of China’s RMB exchange rate reforms: An insight from multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 443-454.
    • Handle: RePEc:eee:phsmap:v:421:y:2015:i:c:p:443-454
    DOI: 10.1016/j.physa.2014.11.053
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    as
    1. He, Ling-Yun & Chen, Shu-Peng, 2010. "Are developed and emerging agricultural futures markets multifractal? A comparative perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(18), pages 3828-3836.
    2. Wang, Yudong & Wei, Yu & Wu, Chongfeng, 2010. "Cross-correlations between Chinese A-share and B-share markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(23), pages 5468-5478.
    3. Wang, Gang-Jin & Xie, Chi, 2013. "Cross-correlations between Renminbi and four major currencies in the Renminbi currency basket," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1418-1428.
    4. Tian, Lei & Chen, Langnan, 2013. "A reinvestigation of the new RMB exchange rate regime," China Economic Review, Elsevier, vol. 24(C), pages 16-25.
    5. Cajueiro, Daniel O. & Tabak, Benjamin M., 2007. "Time-varying long-range dependence in US interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 34(2), pages 360-367.
    6. Wang, Yudong & Wu, Chongfeng & Pan, Zhiyuan, 2011. "Multifractal detrending moving average analysis on the US Dollar exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3512-3523.
    7. Yuan, Ying & Zhuang, Xin-tian & Jin, Xiu, 2009. "Measuring multifractality of stock price fluctuation using multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(11), pages 2189-2197.
    8. Cajueiro, Daniel O. & Tabak, Benjamin M., 2008. "Testing for time-varying long-range dependence in real state equity returns," Chaos, Solitons & Fractals, Elsevier, vol. 38(1), pages 293-307.
    9. Cajueiro, Daniel O. & Tabak, Benjamin M., 2005. "Testing for time-varying long-range dependence in volatility for emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(3), pages 577-588.
    10. B. Podobnik & I. Grosse & D. Horvatić & S. Ilic & P. Ch. Ivanov & H. E. Stanley, 2009. "Quantifying cross-correlations using local and global detrending approaches," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(2), pages 243-250, September.
    11. Rizvi, Syed Aun R. & Dewandaru, Ginanjar & Bacha, Obiyathulla I. & Masih, Mansur, 2014. "An analysis of stock market efficiency: Developed vs Islamic stock markets using MF-DFA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 86-99.
    12. Sylviane Guillaumont Jeanneney & Ping Hua, 2011. "How does real exchange rate influence labour productivity in China?," Post-Print halshs-00666806, HAL.
    13. Guillaumont Jeanneney, Sylviane & Hua, Ping, 2011. "How does real exchange rate influence labour productivity in China?," China Economic Review, Elsevier, vol. 22(4), pages 628-645.
    14. Gu, Rongbao & Chen, Hongtao & Wang, Yudong, 2010. "Multifractal analysis on international crude oil markets based on the multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(14), pages 2805-2815.
    15. Alvarez-Ramirez, Jose & Cisneros, Myriam & Ibarra-Valdez, Carlos & Soriano, Angel, 2002. "Multifractal Hurst analysis of crude oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 313(3), pages 651-670.
    16. Cajueiro, Daniel O & Tabak, Benjamin M, 2004. "The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 521-537.
    17. Cao, Guangxi & Xu, Longbing & Cao, Jie, 2012. "Multifractal detrended cross-correlations between the Chinese exchange market and stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4855-4866.
    18. Ma, Guonan & McCauley, Robert N., 2011. "The evolving renminbi regime and implications for Asian currency stability," Journal of the Japanese and International Economies, Elsevier, vol. 25(1), pages 23-38, March.
    19. Lu, Xinsheng & Tian, Jie & Zhou, Ying & Li, Zhihui, 2013. "Multifractal detrended fluctuation analysis of the Chinese stock index futures market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1452-1458.
    20. Norouzzadeh, P. & Rahmani, B., 2006. "A multifractal detrended fluctuation description of Iranian rial–US dollar exchange rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 328-336.
    21. Jian Yang & David J. Leatham, 2001. "Currency Convertibility And Linkage Between Chinese Official And Swap Market Exchange Rates," Contemporary Economic Policy, Western Economic Association International, vol. 19(3), pages 347-359, July.
    22. Zunino, L. & Tabak, B.M. & Figliola, A. & Pérez, D.G. & Garavaglia, M. & Rosso, O.A., 2008. "A multifractal approach for stock market inefficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(26), pages 6558-6566.
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