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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| Main Authors: | , , |
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| Format: | Article |
| Published: |
International Center for Scientific Research and Studies
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/71230/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010427055&partnerID=40&md5=631643f0150ef2ece9a4bf0e24623da6 |
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| Institution: | Universiti Teknologi Malaysia |