Quantitative stock portfolio optimization by multi-task learning risk and return

Selecting profitable stocks for investments is a challenging task. Recent research has made significant progress on stock ranking prediction to select top-ranked stocks for portfolio optimization. However, the stocks are only ranked by predicted stock return, ignoring the stock price volatility risk...

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Bibliographic Details
Main Authors: Ma, Yu, Mao, Rui, Lin, Qika, Wu, Peng, Cambria, Erik
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173235
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Institution: Nanyang Technological University
Language: English