Learning value-added information of asset management from analyst reports through text mining

Satoru Takahashi, Masakazu Takahashi, Hiroshi Takahashi, Kazuhiko Tsuda

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

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages785-791
Number of pages7
Volume3684 LNAI
Publication statusPublished - 2005
Externally publishedYes
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 2005 Sep 142005 Sep 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3684 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
CountryAustralia
CityMelbourne
Period05/9/1405/9/16

Fingerprint

Asset Management
Information Management
Asset management
Data Mining
Text Mining
Learning
Finance
Data mining
Knowledge Management
Stock Prices
Research
Research and Development
Empirical Study
Text

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Takahashi, S., Takahashi, M., Takahashi, H., & Tsuda, K. (2005). Learning value-added information of asset management from analyst reports through text mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3684 LNAI, pp. 785-791). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3684 LNAI).

Learning value-added information of asset management from analyst reports through text mining. / Takahashi, Satoru; Takahashi, Masakazu; Takahashi, Hiroshi; Tsuda, Kazuhiko.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3684 LNAI 2005. p. 785-791 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3684 LNAI).

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

Takahashi, S, Takahashi, M, Takahashi, H & Tsuda, K 2005, Learning value-added information of asset management from analyst reports through text mining. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3684 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3684 LNAI, pp. 785-791, 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, Melbourne, Australia, 05/9/14.
Takahashi S, Takahashi M, Takahashi H, Tsuda K. Learning value-added information of asset management from analyst reports through text mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3684 LNAI. 2005. p. 785-791. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Takahashi, Satoru ; Takahashi, Masakazu ; Takahashi, Hiroshi ; Tsuda, Kazuhiko. / Learning value-added information of asset management from analyst reports through text mining. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3684 LNAI 2005. pp. 785-791 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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