Title :
A low risk stock trading decision support system
Author :
Wen, W. ; Qin, R.T.
Author_Institution :
Dept. of Inf. Manage., Lunghwa Univ. of Sci. & Technol., Taoyuan, Taiwan
Abstract :
Uncertainty is the nature of a stock market. How to evaluate the uncertainty, takes necessary actions to avoid risk, and gaining profits are critical issues during the trading process in a stock market. A decision support system by which it can analyze a company from both aspects of fundamental and technical conditions is proposed in this study. The decision support system comprises of a set of rules and strategies with which it can evaluate the global economic conditions by examining various leading indicators and assess the financial conditions of a company by checking various financial performance indicators as well. The proposed stock trading support system can automatically help people on determining the timing of taking action based on the rules and strategies that are defined and stored in the system by professional experts.
Keywords :
decision support systems; globalisation; profitability; risk management; securities trading; financial performance indicators; global economic conditions; profits; risk stock trading decision support system; stock market; uncertainty; Artificial neural networks; Cognition; Companies; Indexes; Predictive models; Stock markets; Decision support system; Intelligent agent; Investment; Knowledge management; Lowing risk; Stock market prediction;
Conference_Titel :
Business Innovation and Technology Management (APBITM), 2011 IEEE International Summer Conference of Asia Pacific
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-9654-9
DOI :
10.1109/APBITM.2011.5996305
