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
CountryJapan
CityMatsue
Period8/31/139/4/13

All Science Journal Classification (ASJC) codes

  • Information Systems

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  • Cite this

    Nakatoh, T., Amano, H., & Hirokawa, S. (2013). Prediction of growth rate of operating income using securities reports. In Proceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013 (pp. 84-88). [6630322] (Proceedings - 2nd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2013). https://doi.org/10.1109/IIAI-AAI.2013.50