A fundamental analysis-based method for stock market forecasting

Yuh Jen Chen, Yuh-Min Chen

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

1 Citation (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 Sep 4
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
CountryChina
CityBeijing
Period13-06-0913-06-11

Fingerprint

Decision support systems
Financial markets
Industry

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering

Cite this

Chen, Y. J., & Chen, Y-M. (2013). A fundamental analysis-based method for stock market forecasting. In Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013 (pp. 354-359). [6568097] (Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013). https://doi.org/10.1109/ICICIP.2013.6568097
Chen, Yuh Jen ; Chen, Yuh-Min. / A fundamental analysis-based method for stock market forecasting. Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013. 2013. pp. 354-359 (Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013).
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Chen, YJ & Chen, Y-M 2013, A fundamental analysis-based method for stock market forecasting. in Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013., 6568097, Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013, pp. 354-359, 2013 4th International Conference on Intelligent Control and Information Processing, ICICIP 2013, Beijing, China, 13-06-09. https://doi.org/10.1109/ICICIP.2013.6568097

A fundamental analysis-based method for stock market forecasting. / Chen, Yuh Jen; Chen, Yuh-Min.

Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013. 2013. p. 354-359 6568097 (Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013).

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

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Chen YJ, Chen Y-M. A fundamental analysis-based method for stock market forecasting. In Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013. 2013. p. 354-359. 6568097. (Proceedings of the 2013 International Conference on Intelligent Control and Information Processing, ICICIP 2013). https://doi.org/10.1109/ICICIP.2013.6568097