Cited by 167Stock Market Forecasting MethodsForecasting Techniques and ApplicationsArtificial Intelligence in Healthcare

Application of wrapper approach and composite classifier to the stock trend prediction

HUANG, C, YANG, D, CHUANG, Y·2008·Expert Systems with Applications

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Crossref · 10.1016/j.eswa.2007.05.035

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  • Some previous studies identify opportunities to trade profitably on model predictions.

    “Some studies also identify opportunities to trade profitably on model predictions (Chang et al., 2009; de Oliveira et al., 2013; Doeksen, Abraham, Thomas, & Paprzycki, 2005; C.-J. Huang et al., 2008; Huck, 2010; Kara, Acar Boyacioglu, & Baykan, 2011; Schumaker & Chen, 2009).”
  • The study focuses on predicting national stock indices because these indices are used in the majority of previous machine learning studies that predict direction of price changes.

    “We have focused on predicting national stock indices because these indices are used in the majority of previous ML studies that predict direction of price changes (e.g. Bodyanskiy & Popov, 2006; de Oliveira, Nobre, & Zárate, 2013; C.-J. Huang, Yang, & Chuang, 2008; W. Huang, Nakamori, & Wang, 2005; Pan, Tilakaratne, & Yearwood, 2005; Qian & Rasheed, 2007).”

    From Bridging the divide in financial market forecasting: machine learners vs. financial economists (2016) · cites this paper as C.-J. Huang, Yang, & Chuang, 2008

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References 28 · Cited by 167

Authors
HUANG, C., YANG, D., & CHUANG, Y.
Affiliations
National Dong Hwa University (TW)
Corresponding author
HUANG, C
Venue
Expert Systems with Applications
Publisher
Elsevier BV
Published
2008-05
Volume
34
Issue
4
Pages
2870-2878
ISSN
0957-4174 (ISSN-L)
OpenAlex
W1965805826
Cited by
167
References
28
Citations by year
2026: 2 · 2025: 4 · 2024: 7 · 2023: 9 · 2022: 18 · 2021: 12 · 2020: 11 · 2019: 12 · 2018: 10 · 2017: 16 · 2016: 12 · 2015: 13 · 2014: 8 · 2013: 9 · 2012: 8
FWCI
5.26
Type
journal article
Language
en
Open access
closed
Locations
Expert Systems with Applications (publishedVersion)
Funders
National Science Council
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords
stock trend prediction, stock market prediction, feature selection, wrapper approach, technical indicators, ensemble voting classifier, Korean stock market, Taiwan stock market

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