Cross-Correlations between Chinese Renminbi Onshore- and Offshore-Markets: A MF-DCCA Approach

Xinsheng Lu, Jing Qin, Ying Zhou
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引用次数: 1

Abstract

Using multifractal detrended cross-correlation analysis (MF-DCCA), this paper studies cross-correlations between Chinese Renminbi (RMB) onshore and offshore markets. The dataset consists of 2,137 closing daily prices of exchange rates from 1 January 2005 to 9 July 2013, which covers seven major RMB offshore markets, including Australia, Brazil, Hong Kong, Korea, Malaysia, Singapore, and United Kingdom. Our empirical results suggest that the cross-correlation between Chinese Yuan and British Pound is the strongest in the short term, while the cross-correlation between Chinese Yuan and Malaysian Ringgit is the strongest in the long term. In addition to MF-DCCA approach, cross-correlation statistics test and cross-correlation coefficient are carried out to confirm the existence of cross-correlations. Further, we use rolling window method to investigate the impact of RMB exchange rate reforms on cross-correlations between onshore and offshore markets. We find that enhancement of RMB exchange rate flexibility can effectively reduce the multifractality of cross-correlations, indicating that the RMB exchange rate regime reforms have significantly improved the efficiency of the currency markets.
人民币在岸和离岸市场的相互关系:一种MF-DCCA方法
本文运用多重分形去趋势相互关联分析(MF-DCCA)对人民币在岸和离岸市场的相互关联进行了研究。该数据集包括2005年1月1日至2013年7月9日期间的2,137个每日收盘价,涵盖澳大利亚、巴西、香港、韩国、马来西亚、新加坡和英国等7个主要人民币离岸市场。我们的实证结果表明,人民币与英镑的相互关系在短期内最强,而人民币与马来西亚林吉特的相互关系在长期内最强。除了采用MF-DCCA方法外,还进行了相关统计检验和相关系数检验,以证实相互关系的存在。此外,我们采用滚动窗口方法研究了人民币汇率改革对在岸和离岸市场相互关联的影响。我们发现,增强人民币汇率弹性可以有效降低相互关联的多重分形,表明人民币汇率形成机制改革显著提高了货币市场的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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