DocumentCode
3302324
Title
The analysis and prediction of stock price
Author
Tao Xing ; Yuan Sun ; Qian Wang ; Guo Yu
Author_Institution
Int. Sch. of Software, Wuhan Univ., Wuhan, China
fYear
2013
fDate
13-15 Dec. 2013
Firstpage
368
Lastpage
373
Abstract
Nowadays, the stock market has attracted more and more people´s attention with its high risk and high returns, and forecasting method of stock price also emerge in an endless stream, such as nonlinear regression. In this paper, we introduce a kind of method based on Hidden Markov Model to forecast stock price trend. Which is different from the existing stock prediction, this paper attempts to find the hidden relationship existing between the stock prices, and corresponds to the Hidden Markov Model. The experimental result shows that, this method can get pretty accurate result, particularly effective in short period prediction.
Keywords
forecasting theory; hidden Markov models; stock markets; hidden Markov model; nonlinear regression; stock market; stock price analysis; stock price prediction; stock price trend forecasting method; Hidden Markov models; Market research; Maximum likelihood estimation; Predictive models; Regression analysis; Stock markets; Hidden Markov Model; Model Optimization; Stock Price Forecast;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2013 IEEE International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/GrC.2013.6740438
Filename
6740438
Link To Document