|
|
|
|
RI | Publications | Financial News Analysis for Intelligent Portfolio Management
|
|
Text only version of this site
Financial News Analysis for Intelligent Portfolio Management
Y. Seo, J.A. Giampapa, and K. Sycara
tech. report CMU-RI-TR-04-04, Robotics Institute, Carnegie Mellon University, January, 2004.
Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference
| Download [Help] |
Adobe portable document format (pdf) [367 KB]
Compressed postscript (ps.gz) [448 KB]
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
| Abstract |
In this paper, we present Warren, a multi-agent system for intelligent portfolio management, which is motivated by the great benefits of working in teams within the domain of Distributed Artificial Intelligence (DAI) and TextMiner which takes advantage of information retrieval techniques to complement quantitative financial information. In the portfolio management domain, software agents that evaluate the risks associated with the individual companies in a portfolio should be able to read news articles that indicate the financial outlook of a company. There is a positive correlation between news reports on a company's financial outlook and its attractiveness as an investment. Since it is impossible for financial analysts or investors to track and read each one, it would be very helpful to have a technology for automatically analyzing news reports that reflect positively or negatively on a company's financial outlook. It is also necessary for an agent to learn contextual changes in the news reports autonomously. To accomplish these tasks, we devised a new text classification method and a sampling method. With comprehensive quantitative information gathered by efficient coordinations between agents, and the supplementing of quantitative information by financial news analysis, we showed a successful application of a multi-agent system for portfolio management.
| Notes |
Sponsor: Office of Naval Research Grant
Grant ID: N-00014-96-16-1-1222
| Text Reference |
Y. Seo, J.A. Giampapa, and K. Sycara, Financial News Analysis for Intelligent Portfolio Management, tech. report CMU-RI-TR-04-04, Robotics Institute, Carnegie Mellon University, January, 2004.
| BibTeX Reference |
@techreport{Seo_2004_4570,
author = "Young-Woo Seo and Joseph Andrew Giampapa and Katia Sycara",
title = "Financial News Analysis for Intelligent Portfolio Management",
institution = "Robotics Institute, Carnegie Mellon University",
month = "January",
year = "2004",
number = "CMU-RI-TR-04-04",
address = "Pittsburgh, PA"
}