Prediction of growth rate of operating income using securities reports

Tetsuya Nakatoh, Hirofumi Amano, Sachio Hirokawa

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

    1 Citation (Scopus)

    Abstract

    Corporate analysis is needed for various purposes such as finding a good business partner or a good employment, as well as choosing a good investment. Conventionally, it has been based mainly on financial figures. Recent advances in natural language processing technology, however, has activated studies on analysis of non-financial, textual data. This paper tries to predict the growth rate of the operating income of a company from text data contained in the security report of that company. It reports that this method can classify profitable companies and loss-making ones at 55% F-measure.

    Original languageEnglish
    Title of host publicationProceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
    Pages84-88
    Number of pages5
    DOIs
    Publication statusPublished - 2013
    Event2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013 - Matsue, Japan
    Duration: Aug 31 2013Sep 4 2013

    Publication series

    NameProceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013

    Other

    Other2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013
    Country/TerritoryJapan
    CityMatsue
    Period8/31/139/4/13

    All Science Journal Classification (ASJC) codes

    • Information Systems

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