The international influence of the RMB onshore market: Based on modified information spillover index model

LI Hongquan, HE Minyuan, ZHOU Liang

Systems Engineering - Theory & Practice ›› 2020, Vol. 40 ›› Issue (6) : 1468-1477.

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Systems Engineering - Theory & Practice ›› 2020, Vol. 40 ›› Issue (6) : 1468-1477. DOI: 10.12011/1000-6788-2020-0454-10

The international influence of the RMB onshore market: Based on modified information spillover index model

  • LI Hongquan1, HE Minyuan2, ZHOU Liang1
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Abstract

This paper modified the Diebold & Yilmaz spillover index model by weighting method, and used this model to analyze the information spillover relationship between RMB and seven major developed contries' currency from July 22, 2005 to the end of 2017. The results showed that:The current international influence of the RMB is not high, far lower than the influence levels of other developed countries' currencies, but it shows a rising trend; especially after the "811" exchange reform in 2015, the international influence of the RMB has been greatly improved; from the rolling window analysis and structure change-point test, the improvement of the marketization level of the RMB exchange rate formation mechanism and international status are two main factors that have led to major changes in the international influence of the RMB. Overall, the weighted modified Diebold & Yilmaz spillover index model can more sensitively reflect changes in the international influence of the RMB. To improve the international influence of the RMB, one key is to continuously increase the marketization level of the exchange rate market.

Key words

RMB international influence / information spillover / modified spillover index model

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LI Hongquan , HE Minyuan , ZHOU Liang. The international influence of the RMB onshore market: Based on modified information spillover index model. Systems Engineering - Theory & Practice, 2020, 40(6): 1468-1477 https://doi.org/10.12011/1000-6788-2020-0454-10

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Funding

National Natural Science Foundation of China (71871092, 71473081); Macroeconomic Big Data Mining and Application of Hunan Key Laboratory
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