Related Stocks Selection with Data Collaboration Using Text Mining

Related Stocks Selection with Data Collaboration Using Text Mining

We propose an extended scheme for selecting related stocks for themed mutual funds. This scheme was designed to support fund managers who are building themed mutual funds. In our preliminary experiments, building a themed mutual fund was found to be quite difficult. Our scheme is a type of natural l...

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Bibliographic Details
Main Authors: Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Information
Subjects:
text mining
mutual fund
financial stocks
natural language processing
Online Access:http://www.mdpi.com/2078-2489/10/3/102

Internet

http://www.mdpi.com/2078-2489/10/3/102

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