• DocumentCode
    1802709
  • Title

    Mining Executive Compensation Data from SEC Filings

  • Author

    Ding, Chengmin ; Chen, Ping

  • Author_Institution
    Comkraft Inc.
  • fYear
    2006
  • fDate
    2006
  • Firstpage
    49
  • Lastpage
    49
  • Abstract
    In recent years, corporate governance has become an important concern in investment decision-making. As one of the most important factors in evaluating corporate governance, executive compensation study has drawn a lot of attention. Most companies with excessive executive pay are linked with scandals or corporate failures. This paper presents a text mining system ECRS (Executive Compensation Retrieval System) to automatically extract executive compensation data from the SEC (http://www.sec.gov) proxy filing. An analysis based on the extracted data is provided and some samples on using the raw data to derive useful information for the financial analysts are also presented
  • Keywords
    Best practices; Business; Data mining; Decision making; Guidelines; Information analysis; Information retrieval; Investments; Rivers; Text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on
  • Conference_Location
    Atlanta, GA, USA
  • Print_ISBN
    0-7695-2571-7
  • Type

    conf

  • DOI
    10.1109/ICDEW.2006.89
  • Filename
    1623844