Analysis of the effect of Headline News in financial market through text categorisation

Authors:
Satoru Takahashi;Hiroshi Takahashi;Kazuhiko Tsuda
Affiliations:
Quantitative Investment Department, Chuo Mitsui Trust and Banking Company Ltd., 3-23-1, Shiba, Minato-ku, Tokyo 105-8574, Japan.;Graduate School of Humanities and Social Sciences, Okayama University, 1-1, Tsushima-Naka, 1-Chome, Okayama, Japan.;Graduate School of Systems Management, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, Japan
Venue:
International Journal of Computer Applications in Technology
Year:
2009

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Abstract

In this paper, we analyse the relation between stock-price returns and Headline News. Headline News is a very important source of information in asset management and is sent in large quantities every day. We study the effect of more than 13,000 Headline News sent from Jiji Press. We classify Headline News into three types using text categorisation and analyse the reaction of a stock-price return to each types of news. From our research, we figure out following issues: (1) we make the text categorisation system that has about 80% of classification accuracy, (2) this system can extract effective information to stock-price returns from Headline News and (3) such information is more effective to the small firms.