Analysis of the effect of Headline News in financial market through text categorisation Online publication date: Sat, 20-Jun-2009
by Satoru Takahashi, Hiroshi Takahashi, Kazuhiko Tsuda
International Journal of Computer Applications in Technology (IJCAT), Vol. 35, No. 2/3/4, 2009
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.
Online publication date: Sat, 20-Jun-2009
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com