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Since the implementation of the new mechanism of renminbi exchange rates in 2005, their fluctuation range has become more greater. Therefore, it is very important to control renminbi exchange rates risk via forecasting. This paper describes four alternative renminbi exchange rates forecasting models. These models are based on autocorrelation shell representation and neural networks techniques. An...
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