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International Conference on Database and Expert Systems Applications

DEXA 2011: Database and Expert Systems Applications pp 279–293Cite as

Improving Stock Market Prediction by Integrating Both Market News and Stock Prices

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 6861)

Abstract

Stock market is an important and active part of nowadays financial markets. Addressing the question as to how to model financial information from two sources, we focus on improving the accuracy of a computer aided prediction by combining information hidden in market news and stock prices in this study. Using the multi-kernel learning technique, a system is presented that makes predictions for the Hong Kong stock market by incorporating those two information sources. Experiments were conducted and the results have shown that in both cross validation and independent testing, our system has achieved better directional accuracy than those by the baseline system that is based on single one information source, as well as by the system that integrates information sources in a simple way.

Keywords

  • Stock market prediction
  • Information integration
  • Multi-kernel learning

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  • DOI: 10.1007/978-3-642-23091-2_24
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Author information

Authors and Affiliations

  1. Department of Computer Science, City University of Hong Kong, Hong Kong

    Xiaodong Li & Xiaotie Deng

  2. Shanghai Key Lab of Intelligent Information Processing and School of Computer Science, Fudan University, Shanghai, 200433, China

    Chao Wang, Jiawei Dong & Shanfeng Zhu

  3. School of Computer and State Key Lab of Software Engineering, Wuhan University, Wuhan, 430072, China

    Feng Wang

  4. Department of Computer Science, University of Liverpool, Liverpool, UK

    Xiaotie Deng

Authors
  1. Xiaodong Li
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  2. Chao Wang
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  3. Jiawei Dong
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  4. Feng Wang
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  5. Xiaotie Deng
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  6. Shanfeng Zhu
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Editor information

Editors and Affiliations

  1. IRIT Institut de Recherche en Informatique de Toulouse, Paul Sabatier University, 118, route de Narbonne, 31062, Toulouse Cedex, France

    Abdelkader Hameurlain

  2. Brigham Young University, 784 TNRB, 84602, Provo, UT, USA

    Stephen W. Liddle

  3. Software Competence Center Hagenberg and Johannes-Keppler-University Linz, Softwarepark 21, 4232, Hagenberg, Austria

    Klaus-Dieter Schewe

  4. School of Information Technology and Electrical Engineering, University of Queensland, QLD 4072, Brisbane, Australia

    Xiaofang Zhou

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Li, X., Wang, C., Dong, J., Wang, F., Deng, X., Zhu, S. (2011). Improving Stock Market Prediction by Integrating Both Market News and Stock Prices. In: Hameurlain, A., Liddle, S.W., Schewe, KD., Zhou, X. (eds) Database and Expert Systems Applications. DEXA 2011. Lecture Notes in Computer Science, vol 6861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23091-2_24

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  • DOI: https://doi.org/10.1007/978-3-642-23091-2_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23090-5

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