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Forecasting Quarterly Profit Growth Rate Using an Integrated Classifier

  • Conference paper
Intelligent Decision Technologies

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 10))

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Abstract

This study proposes an integrated procedure based on four components: experiential knowledge, feature selection method, rule filter, and rough set theory for forecasting quarterly profit growth rate (PGR) in the financial industry. To evaluate the proposed procedure, a called PGR dataset collected from Taiwan’s stock market in the financial holding industry is employed. The experimental results indicate that the proposed procedure surpasses the listing methods in terms of both higher accuracy and fewer attributes.

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Author information

Authors and Affiliations

  1. Department of Information Management, Hwa Hsia Institute of Technology,  

    You-Shyang Chen

  2. Department of International Business, National Taichung University of Education,  

    Ming-Yuan Hsieh

  3. Department of Applied English, National Chin-Yi University of Technology,  

    Ya-Ling Wu

  4. Department of Distribution Management, National Chin-Yi University of Technology,  

    Wen-Ming Wu

Authors
  1. You-Shyang Chen
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  2. Ming-Yuan Hsieh
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  3. Ya-Ling Wu
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  4. Wen-Ming Wu
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Editor information

Editors and Affiliations

  1. Graduate School of Information, Production and Systems (IPS), Waseda University, 2-7 Hibikino Wakamatsuku, 808-0135, Fukuoka, Kitakyushu, Japan

    Junzo Watada

  2. Sellinger School of Business and Management, Loyola University Maryland, 4501 N Charles Street, 21210, Baltimore, MD, USA

    Gloria Phillips-Wren

  3. School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus Adelaide, 5095, South Australia, SA, Australia

    Lakhmi C. Jain

  4. KES International, Shoreham-by-seaWest Sussex, PO Box 2115, BN43 9AF, United Kingdom

    Robert J. Howlett

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© 2011 Springer-Verlag Berlin Heidelberg

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Chen, YS., Hsieh, MY., Wu, YL., Wu, WM. (2011). Forecasting Quarterly Profit Growth Rate Using an Integrated Classifier. In: Watada, J., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22194-1_44

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  • DOI: https://doi.org/10.1007/978-3-642-22194-1_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22193-4

  • Online ISBN: 978-3-642-22194-1

  • eBook Packages: EngineeringEngineering (R0)

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