Analyzing Mergers and Acquisitions (M&A) in Japan Using AI methods

DOI

Bibliographic Information

Other Title
  • 人工知能を用いた日本におけるM&Aの分析

Description

<p>If potential M&A cases can be detected automatically, this technology will improve the efficiency of M&A target recommendation and effectiveness of in-process M&A cases. However, in the past, M&A recommendation was impossible due to insufficient data and complexity of M&A. In this research, we provided a clustering method with cash flow features and company relationship features. From M&A clustering, we observed that M&A tend to concentrate in specific clusters. In order to improve the precision of M&A recommendation, we also analyzed the relationships between features from financial items and we extracted important features for identifying company relationships. The result of this research shows feasibility of recommending M&A from big data. In the future, we will design and select more features for analyzing M&A and we will associate results from AI with Management Science.</p>

Journal

Details 詳細情報について

  • CRID
    1390282763024136576
  • NII Article ID
    130007424982
  • DOI
    10.11517/pjsai.jsai2018.0_2j104
  • ISSN
    27587347
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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