The effects of exchange rate regime reform on RMB markets: A new perspective based on MF-DCCA
Qingsong Ruan,
Junjie Bao,
Manqian Zhang and
Limin Fan
Physica A: Statistical Mechanics and its Applications, 2019, vol. 522, issue C, 122-134
Abstract:
Based on the RMB exchange rate regime reform launched by People’s Bank of China (PBoC) on Aug 11, 2015, we investigate the effects of this reform on the cross-correlations among CNH, NDF and CNY markets using multifractal detrended cross-correlation analysis (MF-DCCA) method. The empirical results show that cross-correlations among CNH, NDF and CNY markets are multifractal. Moreover, we find that this RMB exchange rate reform takes effects, as the persistence and the degree of multifractality of the cross-correlation between these series are weaker after the reform. Furthermore, we find that, after the reform, the persistent cross-correlation for CNH and CNY markets is stronger in the short term but weaker in the long term. While for NDF and CNY markets, the anti-persistent cross-correlation in the short term turn into persistent and persistent cross-correlation in the long term are stronger after the “8.11” RMB exchange rate regime reform. Finally, we find that the fat-tailed distribution is the main source of multifractality for NDF-CNY return series pair after the reform, while for CNH-CNY return series pair, the main source is still long-range correlation.
Keywords: Exchange rate markets; Cross-correlation; RMB exchange rate reform; MF-DCCA (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119301177
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:522:y:2019:i:c:p:122-134
DOI: 10.1016/j.physa.2019.01.110
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().