2020
DOI: 10.13106/jafeb.2020.vol7.no8.131
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The Impact of China Exchange Rate Policy on its Trading Partners: Evidence Based on the GVAR Model

Abstract: This study is designed to investigate the impact of China exchange rate policy on its trading partners by using a country multi-dataset GVAR model. Our model includes samples of 30 countries, six from high-income, six from middle-income and eighteen from low-income countries. This study used annual time series data over the period 1992 to 2017. We constructed currency misalignment index and it provided some interesting features about the currency undervaluation and overvaluation. The results of the currency mi… Show more

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Cited by 16 publications
(12 citation statements)
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“…Studies show that the exchange rate plays an essential role in a country's trade performance. Exchange rate fluctuations have an essential impact on international trade, the balance of payments, and overall macroeconomic performance (Abbas et al, 2020). The exchange rate is the price of one currency in another currency (Mishkin, 2009).…”
Section: Exchange Rates and Reservesmentioning
confidence: 99%
“…Studies show that the exchange rate plays an essential role in a country's trade performance. Exchange rate fluctuations have an essential impact on international trade, the balance of payments, and overall macroeconomic performance (Abbas et al, 2020). The exchange rate is the price of one currency in another currency (Mishkin, 2009).…”
Section: Exchange Rates and Reservesmentioning
confidence: 99%
“…The global vector autoregressive (GVAR) model is employed in this paper. The GVAR model has been widely applied in macroeconomics, including (see Chudik and Pesaran [ 13 ] for comprehensive surveys) studying the factors and shocks affecting global inflation [ 24 ], global imbalance [ 25 , 26 , 27 , 28 ], effects of fiscal and monetary policy [ 29 , 30 , 31 , 32 , 33 , 34 , 35 ], credit supply shock [ 36 , 37 , 38 ], spill-overs in the labor market [ 39 ], financial market [ 40 ], energy market [ 41 ], trade [ 42 ], and different sectors [ 43 , 44 , 45 ], etc. So far, the GVAR model has been applied to agricultural markets in a few empirical studies, including analyzing linkages among food commodity prices, energy prices, and financial sectors in the major wheat export countries by Gutierrez et al [ 46 ], studying short-run food price shock propagation in Sub-Saharan Africa (SSA) by Pierre and Kaminski [ 47 ], and analyzing spatial price transmission of the global butter export market under different market shocks such as exchange rate fluctuation, shocks to fertilizer prices, palm oil price, and crude oil price by Xue et al [ 48 ].…”
Section: Methods and Datamentioning
confidence: 99%
“…Again, differences in economic strength, economic size (GDP), government factor, political size, financial depth, etc. in these countries could have accounted for the difference in adjustment speed [19][20][21][22][23][24][25][26][27][28][29][30].…”
Section: Pmg or Mg Panel Analysismentioning
confidence: 99%