The function of the autoregressive garch model is to indicate the impact of the exchange rate changing on export. Due to the research of Chou (2000), the equation for this study is:
stands for the actual export to U.S. in the month t, c is the constant, is the actual exchange rate of RMB and dollar, stands for the American Industrial Production Exponent, and is the conditioned fluctuating of RMB exchanged to dollar. In the model (2), is the time dumb variable which used to hold the exchange rate characteristic. About model (1) and (2), and are supposed to be the normal school, and fit the GARCH models which are shown as below:#p#分页标题#e#
From above, the model (1) will be used in this study to indicate the demand of import between China and America.
Firstly, the data for this study will use the data from the 1992 to 2009, because the economic frameworks of these 18 years are similar in China which supple a steady environment for the study. In addition, the data of which stands for the export from China to U.S., stands for the exchange rate between RMB and dollars, stands for the American
Industrial Production Exponent, which means the American inflation are comes from the CCER Database.
4.0 Limitation 局限性
The results of the study are just can indicate the impact of the Chinese RMB for China exports to U.S. and the relationship between the exchange rate risk and the export trade. It’s better to study the dynamic condition of the Chinese RMB exchange rate and the China export to U.S. which can be used DCC model to prove, so that it can give a better understanding about the exchange rate risk in the Chinese commercial service trade.
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