Linkages between Chinese Stock Price Index and Exchange Rates-An Evidence from the Belt and Road Initiative

YUAN Jiahong (Dr.), X. Li, Y. Shi, Tung Sun Chan, J.H Ruan (Corresponding Author), Yuchun Zhu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)


This paper selects the daily data of the exchange rates of Chinese Yuan (CNY) over the currencies of 14 countries along the Belt and Road, Shanghai composite index and Shenzhen composite index to study the influence of the Belt and Road Initiative on the linkages between exchange rates and Chinese stock index based on the flow-oriented model and the stock-oriented model. To reflect the fluctuations in daily data and reduce the central bank’s interference with the exchange rate, two fuzzy techniques are used to process data, that is, the centroid based measure and the integral based measure. Then we judge the relationship between exchange rate and stock index through the Pearson correlation coefficient and the Granger causality test. Besides, we further compare the results and their differences by the classic crisp method and our two fuzzy techniques, which enable us to judge their correlation more accurately, and provide a reference for a wider application of the proposed fuzzy methods. We find that there is a correlation between exchange rate and stock index under certain conditions, and the Belt and Road initiative strengthens the relationship between the Chinese foreign exchange market and the stock market, more importantly, the fuzzy techniques are effective to judge this relation.
Original languageEnglish
Article number9097198
Pages (from-to)95403-95416
Number of pages14
JournalIEEE Access
Publication statusPublished - 20 May 2020


  • Belt and Road initiative
  • Stock price index
  • exchange rate
  • fuzzy techniques

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)


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