• DocumentCode
    3324782
  • Title

    The study on earnings quality evaluating and the industry characteristics of the listed companies

  • Author

    Jian-Hua Wang

  • Author_Institution
    Sch. of Econ. & Manage., Henan Polytech. Univ., Jiaozuo
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    773
  • Lastpage
    779
  • Abstract
    Earning was one of the most important accounting information disclosed by the enterprises, particularly in the capital market environment, as well as the medium-term annual earnings figures in the report are one of the most important information transferred by listed companies to investors. Now in financial theory, the assessment models often predict and analyze a companypsilas value based on accounting earning. Therefore, the accounting earning is one of the most intuitive targets to reflect on businesspsila operating results for a certain period, which has been widely considered as a high information content. However, in different years, in the different framework of time and space industries, the information content of the accounting earning is very different, namely, there are differences in quality. Therefore, this paper will study on relationship between the industry characteristics of the listed companies and earnings quality based on the experience data of the listed companies.
  • Keywords
    accounting; stock markets; accounting information; capital market; earnings quality; enterprises; Companies; Conference management; Economic forecasting; Engineering management; Environmental economics; Industrial economics; Industrial relations; Investments; Predictive models; Quality management; earnings quality; evaluating; industry characteristics; listed companies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-2387-3
  • Electronic_ISBN
    978-1-4244-2388-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2008.4669000
  • Filename
    4669000