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題名 Two-stage model for exchange rate forecasting by emd and random forest
作者 楊亨利
Lin, Han Chou
Yang, Hengli
貢獻者 資訊管理學系
關鍵詞 Empirical mode decomposition; Exchange rate forecasting; Hilbert-Huang Transform; Intrinsic mode functions; Random forest
日期 2014
上傳時間 17-Aug-2017 15:09:59 (UTC+8)
摘要 This study applied random forest (RF) and empirical mode decomposition (EMD) techniques to exchange rate forecasting. The aim of this study is to examine the feasibility of the proposed EMD-RF model in exchange rate forecasting. For this purpose, the original exchange rate series were first decomposed into a finite, and often small, number of intrinsic mode functions (IMFs) and one residual component. Then, a random forest model is constructed to forecast these IMFs and residual value individually, and then all these forecasted values are aggregated to produce the final forecasted value for exchange rates. The daily USD/NTD, USD/JPY, USD/HKD and USD/AUD exchange rates were employed as the data set. The experimental results are that MAPE for the four data sets are, respectively, 0.278%, 1.143%, 0.153% and 5.944%, which shows good performance according to the 10% threshold suggested by Lewis.
關聯 Proceedings of the International Conference on Electronic Business (ICEB),2014-January276-279
14th International Conference on Electronic Business, ICEB 2014 and 1st Global Conference on Internet and Information Systems, GCIIS 2014; Imperial Hotel TaipeiTaipei; Taiwan; 8 December 2014 到 12 December 2014; 代碼 118796
資料類型 conference
dc.contributor 資訊管理學系zh_Tw
dc.creator (作者) 楊亨利zh_TW
dc.creator (作者) Lin, Han Chouzh_TW
dc.creator (作者) Yang, Henglizh_TW
dc.date (日期) 2014en_US
dc.date.accessioned 17-Aug-2017 15:09:59 (UTC+8)-
dc.date.available 17-Aug-2017 15:09:59 (UTC+8)-
dc.date.issued (上傳時間) 17-Aug-2017 15:09:59 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/112012-
dc.description.abstract (摘要) This study applied random forest (RF) and empirical mode decomposition (EMD) techniques to exchange rate forecasting. The aim of this study is to examine the feasibility of the proposed EMD-RF model in exchange rate forecasting. For this purpose, the original exchange rate series were first decomposed into a finite, and often small, number of intrinsic mode functions (IMFs) and one residual component. Then, a random forest model is constructed to forecast these IMFs and residual value individually, and then all these forecasted values are aggregated to produce the final forecasted value for exchange rates. The daily USD/NTD, USD/JPY, USD/HKD and USD/AUD exchange rates were employed as the data set. The experimental results are that MAPE for the four data sets are, respectively, 0.278%, 1.143%, 0.153% and 5.944%, which shows good performance according to the 10% threshold suggested by Lewis.en_US
dc.format.extent 177 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Proceedings of the International Conference on Electronic Business (ICEB),2014-January276-279en_US
dc.relation (關聯) 14th International Conference on Electronic Business, ICEB 2014 and 1st Global Conference on Internet and Information Systems, GCIIS 2014; Imperial Hotel TaipeiTaipei; Taiwan; 8 December 2014 到 12 December 2014; 代碼 118796en_US
dc.subject (關鍵詞) Empirical mode decomposition; Exchange rate forecasting; Hilbert-Huang Transform; Intrinsic mode functions; Random foresten_US
dc.title (題名) Two-stage model for exchange rate forecasting by emd and random foresten_US
dc.type (資料類型) conference