A fundamental analysis-based method for stock market forecasting

Yuh Jen Chen, Yuh Min Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013
Pages354-359
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 4th International Conference on Intelligent Control and Information Processing, ICICIP 2013 - Beijing, China
Duration: 2013 Jun 92013 Jun 11

Publication series

NameProceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013

Other

Other2013 4th International Conference on Intelligent Control and Information Processing, ICICIP 2013
Country/TerritoryChina
CityBeijing
Period13-06-0913-06-11

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering

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