How has the Chinese Yuan Evolved since the 2005 Reform?
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Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Economics and Business

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ISSN 2775-9237 (Online)

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, managemet journal
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Published: 02 September 2019

How has the Chinese Yuan Evolved since the 2005 Reform?

James J. Kung, Wen-Ying Lin

Ming Chuan University, University of Taipei, Taiwan

asian institute research, jeb, journal of economics and business, economics journal, accunting journal, business journal, management journal

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doi

10.31014/aior.1992.02.03.132

Pages: 855-862

Keywords: Yuan, Bootstrap, Random Walk, Moving Average, Trading Range Break

Abstract

This study employs the bootstrap method to explore the evolution of the Chinese yuan. We use the following three random walks to characterize the evolution of the yuan: an IID-parameterized random walk, an ARCH(3)-parameterized random walk, and a GARCH(1,1)-parameterized random walk. To proceed, we use the bootstrap method to generate 10,000 artificial yuan series from each random walk and compute the return from the trading rule (i.e., moving average or trading range break) for each of the 10,000 artificial yuan series. Then, we construct a 95% percentile interval with these 10,000 returns to determine if the interval contains the return computed from the actual yuan series. Using daily exchange rate data from 22 July 2005 to 19 July 2019, our results show that, of the three random walks, the GARCH(1,1) random walk best portrays the yuan since the 2005 exchange rate system reform.

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