Exchange rate forecasting using modified empirical mode decomposition and least squares support vector machine
Forecasting exchange rate requires a model that can capture the non-stationary and non-linearity of the exchange rate data. In this paper, empirical mode decomposition (EMD) is combines with least squares support vector machine (LSSVM) model in order to forecast daily USD/TWD exchange rate. EMD is u...
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| Format: | Article |
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International Center for Scientific Research and Studies
2016
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