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A Method of Measurement of The Impact of Japanese News on Stock Market
Author(s) -
Daisuke Katayama,
Kazuhiko Tsuda
Publication year - 2018
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2018.08.084
Subject(s) - stock market , computer science , stock (firearms) , investment decisions , stock price , business , finance , behavioral economics , mechanical engineering , paleontology , series (stratigraphy) , horse , engineering , biology
In this research will examine how the news on Japanese listed companies will affect the stock market. Specifically, it clarifies what kind of attribute news influences the stock price of the company from many news information. Our results confirmed that the sentiment that judged the news by the polar dictionary has a certain influence on the stock market. By handling a large amount of information mechanically, investors will be able to conduct more efficient investment behavior.

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