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.description.tableofcontents | IEEE Access, Vol.8, 2020; P. 111660-111682 | vi |
| dc.identifier.uri | https://thuvienso.hoasen.edu.vn/handle/123456789/15646 | |
| 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 |
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