Application of machine learning to predicting the returns of carry trade

碩士 === 國立政治大學 === 資訊管理學系 === 105 === This research derives an artificial neural networks (ANN) mechanism for timely and effectively predicting the return of carry trade. To achieve the timeliness, the ANN mechanism is implemented via the infrastructure of TensorFlow and graphic processing unit (GPU)...

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Bibliographic Details
Main Author: 吳佳真
Other Authors: 蔡瑞煌
Format: Others
Language:en_US
Online Access:http://ndltd.ncl.edu.tw/handle/8m5pu2

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