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流式数据挖掘方法下的汇率行为预测方法探讨 被引量:1

Study the Exchange Rate Forecasting Method based on Streaming Data Mining
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摘要 借助流式数据挖掘以及传统汇率行为预测方法,并将它们融合,可以得到更符合实际、更高精度的人民币汇率预测方法,并建立模型。这样有利于货币当局把握汇率行为的特征和表现形式,使其与经济的协调发展奠定基础,有利于进一步完善人民币汇率政策,充分发挥汇率的宏观调控的政策效力,为下一步改革提供科学的理论框架和理性的发展方向。 we establish the model with the help of streaming data mining and comb the method of traditional exchange rate prediction to obtain more realistic and accurate forecasting of RMB exchange rate.This is conducive to the monetary authorities to grasp the characteristics and forms of behavior,lay the foundation for the coordinated development of economy,improve the RMB exchange rate policy,play the exchange rate the effectiveness of macro-control policy fully,and provide scientific and rational development theoretical framework for further reform.
作者 谭华
出处 《湘南学院学报》 2010年第4期27-29,59,共4页 Journal of Xiangnan University
基金 浙江省教育厅项目(Y200805517)
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