テキスト情報と市場時系列データの統合分析

DOI

書誌事項

タイトル別名
  • An Integrative Analysis of Texual Data and Time-Series Market Data

抄録

<p>In this study, we proposed a new text-mining methods for long-term market analysis. Using our method, we analysed monthly price data of Japanese government bond market. First we extracted feature vectors from monthly reports of Bank of Japan. Then, trends of the JGB market were estimated by regression analysis using the feature vectors. As a result, determination coefficients were over 75%, and market trends were explained well by the information that was extracted from textual data. Finally, we compared the predictive power of textual data with that of numerical data. As a result, Our text mining method had prediction power superior to the numerical data analysis.</p>

収録刊行物

詳細情報 詳細情報について

  • CRID
    1390857623351829888
  • DOI
    10.11517/jsaisigtwo.2008.fin-001_06
  • ISSN
    24365556
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
  • 抄録ライセンスフラグ
    使用可

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