DocumentCode
624633
Title
A fundamental analysis-based method for stock market forecasting
Author
Yuh-Jen Chen ; Yuh-Min Chen
Author_Institution
Dept. of Accounting & Inf. Syst., Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan
fYear
2013
fDate
9-11 June 2013
Firstpage
354
Lastpage
359
Abstract
By considering financial conditions of listed companies, industrial environment, macroeconomics, and financial news, this study developed a decision support system for a fundamental analysis-based stock market forecasting to select optimal stocks from the stock market and predict their future price trends to provide a reference for investor decisions. The tasks involved in the study include: (i) design a fundamental analysis-based approach to stock market forecasting, (ii) develop techniques related to fundamental analysis-based stock market forecasting, and (iii) demonstrate the proposed fundamental analysis-based approach to stock market forecasting. The fundamental analysis-based approach to stock market forecasting involves techniques such as calculating the weight of financial indicators, evaluating and selecting individual stocks, selecting financial news features, determining stock trading signals based on financial news, and forecasting stock price trend.
Keywords
decision support systems; economic forecasting; macroeconomics; share prices; stock markets; decision support system; financial news; financial news features; fundamental analysis-based stock market forecasting; industrial environment; investor decisions; listed companies; macroeconomics; stock price trend; stock trading signals; Accuracy; Bayes methods; Forecasting; Market research; Stock markets; Testing; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-6248-1
Type
conf
DOI
10.1109/ICICIP.2013.6568097
Filename
6568097
Link To Document