Analysis of the Relation Between Stock Price Returns and Headline News Using Text Categorization

Abstract. In this paper, we analyze about the relation between stock price returns and Headline News. Headline News is very important sources 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 using Text Categorization and analyze the reaction of a stock price return for every type of News. From our research, we figure out following issues; 1) we make the Text Categorization System that has about 80% of classification accuracy, 2) this system can extract effective information to stock price returns from Headline News.

• Type: Conference
• Year: 2007
• Where: KES
• Authors: Satoru Takahashi, Masakazu Takahashi, Hiroshi Takahashi, Kazuhiko Tsuda
• Keywords: KES 2007, Stock Price Returns, Text Categorization, Text Categorization System