Innovative deep matching algorithm for stock portfolio selection using deep stock profiles

Construction of a reliable stock portfolio remains an open issue in quantitative investment. Multiple machine learning models have been trained for stock portfolio selection, but their practical applicability remains limited due to the challenges posed by the characteristic of a low signal-to-noise...

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Detalles Bibliográficos
Autores principales: Guo, Ganggang, Rao, Yulei, Zhu, Feida, Xu, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641377/
https://www.ncbi.nlm.nih.gov/pubmed/33147275
http://dx.doi.org/10.1371/journal.pone.0241573

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641377/
https://www.ncbi.nlm.nih.gov/pubmed/33147275
http://dx.doi.org/10.1371/journal.pone.0241573

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