English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62805/95882 (66%)
造访人次 : 3876718      在线人数 : 59
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/78841

    题名: Integration of Evolutionary Computing and Equity Valuation Models to Forecast Stock Values Based on Data Mining
    作者: Chang, Ying-Hua;Wang, Shih-Chin
    贡献者: 淡江大學資訊管理學系
    关键词: Evolution strategies;Artifical neural networks;Data mining;Corporate government;Ohlson model
    日期: 2013-03
    上传时间: 2012-11-03 13:13:56 (UTC+8)
    出版者: 台南市:成功大學管理學院
    摘要: Fundamental analysis uses financial data to assess firm value. For the majority of investors, financial reports in the form of fundamental analysis are the key reference; investors can use quarterly financial reports issued by enterprises to know enterprise operating performance and financial situation. Thus even though investors do not participate in enterprise operations, the availability of open information allows them to evaluate enterprise earnings and associated risks, and thus to predict enterprise market value.
    This study applies evolution strategies combined with the artificial neural network and Ohlson model to construct the evaluation module. However, for completeness, the Ohlson model includes corporate governance and other variables in the non-accounting information, to discuss the variable structure and data range in which the Ohlson model can optimize firm value.
    Because many factors influence firm value and the relationship among those factors are nonlinear, common traditional statistical methods have difficulty finding solutions. Therefore, this essay applies the artificial intelligence method, which through the good learning ability of artificial neural networks and the good optimization ability of the evolution strategies, tries to identify the characteristics and their ranges of three types of corporations and easily value the related stock.
    This study uses the calculated firm value to identify the optimal range of variables in the rules, their accuracy get over 90%, and thus to maximize firm value. This approach can not only provide a reference for enterprise management, but also one for investors to use in analyzing corporate market value.
    關聯: Asia Pacific Management Review=亞太管理評論 18(1), pp.63-78
    DOI: 10.6126%2fAPMR.2013.18.1.04
    显示于类别:[資訊管理學系暨研究所] 期刊論文


    档案 描述 大小格式浏览次数
    Integration of Evolutionary Computing and Equity Valuation Models to Forecast Stock Values Based on Data Mining.pdf1241KbAdobe PDF2检视/开启



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈