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Learning Value-Added Information of Asset Management from Analyst Reports Through Text Mining

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

Abstract

Text mining, one of the emerging fields of data mining, aims at acquiring useful knowledge from text data. In the asset management in finance task domain, although there exist various text data like accounting settlement or analysts’ reports, few research and development have been conducted. In this paper, we will explore the feasibility to extract valuable knowledge for asset management through text mining using analyst reports as text data. We will analyze the relationship between text data and numerical data. From empirical study on the practical data, we have confirmed the effectiveness: (1) the extracted keywords are influential to the stock prices, (2) such information is more effective to the large-cap stocks, and (3) such keyword information become more valuable by using numerical information together.

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Author information

Authors and Affiliations

  1. Mitsui Asset Trust and Banking Co., Ltd, 3-23-1 Shiba, Minato-ku, Tokyo, Japan

    Satoru Takahashi & Hiroshi Takahashi

  2. Graduate School of Systems Management, The University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, Japan

    Satoru Takahashi & Kazuhiko Tsuda

  3. Shimane University, 1060 Nishikawatsu-cho, Matsue-shi, Shimane, Japan

    Masakazu Takahashi

Authors
  1. Satoru Takahashi
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  2. Masakazu Takahashi
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  3. Hiroshi Takahashi
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  4. Kazuhiko Tsuda
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Takahashi, S., Takahashi, M., Takahashi, H., Tsuda, K. (2005). Learning Value-Added Information of Asset Management from Analyst Reports Through Text Mining. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_110

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  • DOI: https://doi.org/10.1007/11554028_110

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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