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KMV模型在渔业上市公司财务预警中的运用——以獐子岛为例
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  • 英文篇名:Application of KMV model in the financial early warning for fishery listed companies: take Zhangzi Island as an example
  • 作者:王元月 ; 景在伦 ; 刘伟
  • 英文作者:WANG Yuan-yue;JING Zai-lun;LIU Wei;College of Economics, Ocean University of China;College of Management, Ocean University of China;Bank of China Yunnan Branch;School of Economics & Management, Qingdao Agriculture University;
  • 关键词:獐子岛 ; 黑天鹅事件 ; KMV模型 ; 财务预警
  • 英文关键词:Zhangzi Island;;Black Swan Event;;KMV Model;;Financial early warning
  • 中文刊名:ZYJJ
  • 英文刊名:Chinese Fisheries Economics
  • 机构:中国海洋大学经济学院;中国海洋大学管理学院;中国银行云南省分行;青岛农业大学经济与管理学院;
  • 出版日期:2019-06-15
  • 出版单位:中国渔业经济
  • 年:2019
  • 期:v.37;No.203
  • 语种:中文;
  • 页:ZYJJ201903011
  • 页数:6
  • CN:03
  • ISSN:11-4508/F
  • 分类号:61-66
摘要
獐子岛"黑天鹅"事件让市场参与各方大跌眼镜。本文通过引入KMV模型,对獐子岛"黑天鹅"事件之前的理论违约概率进行测算,并与同期评级机构对獐子岛的信用评级相对照,验证了KMV模型在对上市公司进行财务预警时相较于传统评级机构的信用评级所具有的前瞻性。
        Market participants were stunned by Zhangzi Island Black Swan Event. By introducing KMV model, the paper calculates the theoretical probability of default of Zhangzi Island before the event occurred. The results of calculations are later compared to the ratings provided by the rating agency during the same period. It follows that KMV model has some forward-looking relative to the traditional credit ratings issued by credit rating agencies in the financial early warning for listed companies.
引文
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