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.
| Original language | English |
|---|---|
| Pages (from-to) | 204-209 |
| Number of pages | 6 |
| Journal | International Journal of Computer Applications in Technology |
| Volume | 35 |
| Issue number | 2-4 |
| DOIs | |
| Publication status | Published - 2009 Jun |
| Externally published | Yes |
Keywords
- Headline news
- Naïve bayes
- Text auto categorisation
- Text mining
ASJC Scopus subject areas
- Software
- Information Systems
- Computer Science Applications
- Computer Networks and Communications
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering