Selective transfer learning with adversarial training for stock movement prediction

Selective transfer learning with adversarial training for stock movement prediction

Stock movement prediction is a critical issue in the field of financial investment. It is very challenging since a stock usually shows highly stochastic property in price and has complex relationships with other stocks. Most existing approaches cannot jointly take the above two issues into account a...

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Bibliographic Details
Main Authors:	Yang Li, Hong-Ning Dai, Zibin Zheng
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2022-12-01
Series:	Connection Science
Subjects:	stock movement prediction adversarial training data selector transfer learning
Online Access:	http://dx.doi.org/10.1080/09540091.2021.2021143

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