Relationship Between Japanese Stock Market Behavior and Category-Based News
This study investigates the relationship between news delivered via the QUICK terminal and stock market behavior. Specifically, through an evaluation of the performance of investment strategies that utilize news index created based on its scores indicating positive or negative sentiment, we examine...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Risks |
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| Online Access: | https://www.mdpi.com/2227-9091/13/3/50 |
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| author | Jun Nakayama Daisuke Yokouchi |
| author_facet | Jun Nakayama Daisuke Yokouchi |
| author_sort | Jun Nakayama |
| collection | DOAJ |
| description | This study investigates the relationship between news delivered via the QUICK terminal and stock market behavior. Specifically, through an evaluation of the performance of investment strategies that utilize news index created based on its scores indicating positive or negative sentiment, we examine whether index construction that takes into account the content of individual news items contributes to improved predictive power with regard to stock prices. We verify the performance of this investment strategy based on signal indicators derived from news indices focusing on short-term trends using time-series decomposition. After refining the news indicators based on news categories, we observe an improvement in the strategy’s performance, demonstrating that the value of news varies across different categories and the importance of considering the content and meaning of text news. |
| format | Article |
| id | doaj-art-7d172e87fe854bd288367f33704f8150 |
| institution | DOAJ |
| issn | 2227-9091 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Risks |
| spelling | doaj-art-7d172e87fe854bd288367f33704f81502025-08-20T02:43:02ZengMDPI AGRisks2227-90912025-03-011335010.3390/risks13030050Relationship Between Japanese Stock Market Behavior and Category-Based NewsJun Nakayama0Daisuke Yokouchi1Financial Strategy Program, Hitotsubashi University Business School, Tokyo 101-8439, JapanFinancial Strategy Program, Hitotsubashi University Business School, Tokyo 101-8439, JapanThis study investigates the relationship between news delivered via the QUICK terminal and stock market behavior. Specifically, through an evaluation of the performance of investment strategies that utilize news index created based on its scores indicating positive or negative sentiment, we examine whether index construction that takes into account the content of individual news items contributes to improved predictive power with regard to stock prices. We verify the performance of this investment strategy based on signal indicators derived from news indices focusing on short-term trends using time-series decomposition. After refining the news indicators based on news categories, we observe an improvement in the strategy’s performance, demonstrating that the value of news varies across different categories and the importance of considering the content and meaning of text news.https://www.mdpi.com/2227-9091/13/3/50newstext miningtime-series decompositioninvestment strategy |
| spellingShingle | Jun Nakayama Daisuke Yokouchi Relationship Between Japanese Stock Market Behavior and Category-Based News Risks news text mining time-series decomposition investment strategy |
| title | Relationship Between Japanese Stock Market Behavior and Category-Based News |
| title_full | Relationship Between Japanese Stock Market Behavior and Category-Based News |
| title_fullStr | Relationship Between Japanese Stock Market Behavior and Category-Based News |
| title_full_unstemmed | Relationship Between Japanese Stock Market Behavior and Category-Based News |
| title_short | Relationship Between Japanese Stock Market Behavior and Category-Based News |
| title_sort | relationship between japanese stock market behavior and category based news |
| topic | news text mining time-series decomposition investment strategy |
| url | https://www.mdpi.com/2227-9091/13/3/50 |
| work_keys_str_mv | AT junnakayama relationshipbetweenjapanesestockmarketbehaviorandcategorybasednews AT daisukeyokouchi relationshipbetweenjapanesestockmarketbehaviorandcategorybasednews |