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Inventi Impact: International Trade

Articles

  • Inventi:mit/20258/16
    Comparing RMB Exchange Rate Forecasting Accuracy Based on Dynamic BP Neural Network Model\nand the ARMA Model
    01-Jan-1970 Research 2016 : October - December
    Zhiqiang Ye, Xiang Ren, Yaling Shan

    This paper uses the dynamic back propagation (BP) neural network model and the auto regressive moving average\n(ARMA) model to forecast the RMB exchange rate based on the data from January 1, 2011 to October 10, 2012. The\nresults show that the dynamic BP neural network model works better than the ARMA model in evaluating both the trend\nand the deviation of RMB exchange rate.

    How to Cite this Article
    CC Compliant Citation: Ye Z, Ren X, Shan Y (2015) Comparing RMB Exchange Rate Forecasting Accuracy based on Dynamic BP Neural Network\nModel and the ARMA Model. J Stock Forex Trad 5: 161. doi:10.4172/2168-9458.1000161, https://creativecommons.org/licenses/by/.
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