Price-Earnings Prediction System Based on Internet Stock Information
As it is well known, there are lots of factors causing the fluctuation of stock prices. This paper studies this problem from the aspect of Internet information. The significant changes of Internet stock information usually reflect that some special events have occurred in that company. The fluctuation of stock prices must be an associated action. This paper firstly harvests financial information on the Internet, and preprocesses the Internet information, and then completes the relevant study on stock information and on fluctuation of stock prices, with the aid of the learning function of neural networks. Finally, it presents investors the results of neural network forecast in a graphical form, so as to help investors to make decisions. Amazon, the listed company of Wall Street, is taken as an example for analysis.
stock price volatility prediction Internet stock information
Xiang Li
Institute of Computer Science and Technology, Peking University, Beijing 100871, China Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14850, USA
国际会议
重庆
英文
1254-1258
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）