RETRACTED ARTICLE: Analysis of influence of investor relation documents to stock price

Toshihiko Sakai, Masashi Matsushita, Brendan Flanagan, Jun Zeng, Sachio Hirokawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Not only specialists but also ordinary people have interests in the stock price changes. The present paper analyzes the influence of the frequency of characteristic words that appear in the investor relation (IR) documents of companies. Is it true that the positive words cause the rise of a stock price, and the negative words cause the fall? We focused on 57 medical-supplies-related companies which have listed on Tokyo Stock Exchange. The stock price data and IR documents of the period in 2009 to 2011 were collected. We prepared 10 positive words and 10 negative words to evaluate the score of IR documents. The rate of the stock price compared with the previous day and the document score was analyzed. It is confirmed that the correlation of the rate and the document score is higher for the companies with high stock price ratio of change.

    Original languageEnglish
    Title of host publicationProceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
    PublisherIEEE Computer Society
    Pages1280-1284
    Number of pages5
    ISBN (Print)9781467300223
    DOIs
    Publication statusPublished - 2012
    Event2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012 - Chongqing, China
    Duration: May 29 2012May 31 2012

    Publication series

    NameProceedings - 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

    Other

    Other2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012
    CountryChina
    CityChongqing
    Period5/29/125/31/12

    All Science Journal Classification (ASJC) codes

    • Control and Optimization
    • Logic

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