Predicting Stock Price Movement from Financial News Articles

Predicting Stock Price Movement from Financial News Articles

Author: 
Chen, Hsinchun
Place: 
Hershey, PA
Publisher: 
IGI Global
Date published: 
2011
Record type: 
Responsibility: 
Schumaker, Robert P., jt. author
Editor: 
Yap, Alexander Y.
Source: 
Information Systems for Global Financial Markets
Abstract: 

However, using computational approaches to predict stock prices using financial data is not unique. In recent years, interest has increased in Quantitative funds, or Quants, that automatically sift through numeric financial data and issue stock recommendations. While these systems are based on proprietary technology, they do differ in the amount of trading control they have, ranging from simple stock recommenders to trade executors. Using historical market data and complex mathematical models, these methods are constrained to make assessments within the scope of existing information. This weakness means that they are unable to react to unexpected events falling outside of historical norms. However, this disadvantage has not stopped fund managers at Federated, Janus, Schwab, and Vanguard from trusting billions of dollars of assets to the decisions of these computational systems.

Series: 
Advances in Finance, Accounting, and Economics

CITATION: Chen, Hsinchun. Predicting Stock Price Movement from Financial News Articles edited by Yap, Alexander Y. . Hershey, PA : IGI Global , 2011. Information Systems for Global Financial Markets - Available at: http://library.au.int/predicting-stock-price-movement-financial-news-articles