Predicting the Direction of US Stock Prices Using Effective Transfer Entropy and Machine Learning Techniques

dc.contributor.author	Kim, Sondo
dc.contributor.author	Ku, Seungmo
dc.contributor.author	Chang, Woojin
dc.contributor.author	Song, Jae Wook
dc.date.accessioned	2024-08-21T08:07:21Z
dc.date.available	2024-08-21T08:07:21Z
dc.date.issued	2020
dc.identifier.uri	https://thuvienso.hoasen.edu.vn/handle/123456789/15646
dc.description.tableofcontents	IEEE Access, Vol.8, 2020; P. 111660-111682	vi
dc.language.iso	en	vi
dc.publisher	IEEE Access	vi
dc.subject	Prediction algorithms	vi
dc.subject	Stock markets	vi
dc.subject	Time series analysis	vi
dc.title	Predicting the Direction of US Stock Prices Using Effective Transfer Entropy and Machine Learning Techniques	vi
dc.type	Article	vi