助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   st company 的翻译结果: 查询用时:0.136秒
图标索引 在分类学科中查询
所有学科
企业经济
金融
证券
投资
信息经济与邮政经济
市场研究与信息
更多类别查询

图标索引 历史查询
 

st company
相关语句
  st公司
     This paper introduces the design and implementation of a network test system,which is based on the ST Company's μPSD3354D SCM and the NI Company's LabWindows/CVI development platform.
     介绍基于ST公司的μPSD3354D单片机和NI公司的LabWindows/CVI虚拟仪器开发平台的网络测试系统的设计和实现。
短句来源
     The Study on Investment Control of ST Company
     ST公司建设项目投资控制研究
短句来源
     Put forward a kind of solution based on Stv0297 and Sti5518 chip of ST Company.
     提出了一种基于ST公司Stv0297和Sti5518芯片的解决方案。
短句来源
     The Analysis of ST Company Property Reorganization Reversing Loss Effect
     ST公司资产重组扭亏效应分析
短句来源
     Competency Assessment in ST Company
     胜任力测评在ST公司的应用
短句来源
更多       
  “st company”译为未确定词的双语例句
     The Information and Effectiveness of the Announcement of ST Company
     上市公司被特别处理(ST)公告的信息含量与影响因素
短句来源
     The Developing Stratege about Agriculture Industrialization of Guangxi ST Company
     广西ST科技有限公司农业产业化发展战略
短句来源
     In part three, choosing KMV model,the paper checks the performance of KMV's core conception--DD (DefaultDistance) in domestic practice by means of calculating the three-year-term DD value of a ST company in domestic security market.
     文章的第三部分是全文的重点之一,在这一部分笔者主要阐述现代的信用风险量化度量模型在中国商业银行的应用遇到的现实障碍和问题解决的可能性,并最后选择KMV模型,实证考察使用KMV模型的核心指标——违约距离即时监控国内的ST上市公司信用状况的可行性。
短句来源
     Finely it puts forward the designment to the ST company incentive system on the basis of the analysis.
     中国证监会颁布的《关于上市公司状况异常期间的股票特别处理方式的通知》昭示着 ST 制度的形成。
短句来源
     Chapter 2: Summarizes and analyzes the general characteristic of ST company.
     第二章在概述ST制度的基础上,分析了ST类公司的总体特征。
短句来源
更多       
  相似匹配句对
     Competency Assessment in ST Company
     胜任力测评在ST公司的应用
短句来源
     St.
     St.
短句来源
     Company F
     F公司
短句来源
     St.
     A组不灌注 St.
短句来源
     COMPANY
     公司
短句来源
查询“st company”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
没有找到相关例句


the prediction of corporation financial failure is a marjor difficulty in financial study.Basing on the study of Altman's multivariate Z-value discriminate model,this article establishes a new predicting model of corporation financial failure Principle Components Predictin Model by adopting principle components analysis.Then it defines“ST company”in Shanghai & Shenzhen security market as“financial failure corporation”and selects 80 corporations(40“STcompanies and 40“not STcompanies)as...

the prediction of corporation financial failure is a marjor difficulty in financial study.Basing on the study of Altman's multivariate Z-value discriminate model,this article establishes a new predicting model of corporation financial failure Principle Components Predictin Model by adopting principle components analysis.Then it defines“ST company”in Shanghai & Shenzhen security market as“financial failure corporation”and selects 80 corporations(40“STcompanies and 40“not STcompanies)as samples of study to verify the Principle Components Predicting Model for Financial Failure of Public Company.

企业财务失败的预测是国内外财务研究的一大难点 ,本文在借鉴奥特曼 (Alt man)的多元Z值判定模型的基础上 ,采用主成分分析方法 ,建立了一种新的预测企业财务失败的模型———主成分预测模型 ,并把沪深两地证券市场的ST公司界定为“财务失败企业” ,选取 40家ST公司及与之相对应的 40家非ST公司共 80家企业作为研究样本 ,对上市公司财务失败的主成分预测模型进行实证检验。

The survey discusses the dialectical relationship betweengovernance weakening and financial distress firstly. On the basis offactor-analyzing, we provide a discriminating model of financial distressof the listed companies. Our model includes four factors: marginal ratio,ratio of other accounts receivable to total assets, ratio of short-termliabilities to total assets and ownership concentration coefficient.Ownership concentration coefficient is a direct expression of corporategovernance and is also the...

The survey discusses the dialectical relationship betweengovernance weakening and financial distress firstly. On the basis offactor-analyzing, we provide a discriminating model of financial distressof the listed companies. Our model includes four factors: marginal ratio,ratio of other accounts receivable to total assets, ratio of short-termliabilities to total assets and ownership concentration coefficient.Ownership concentration coefficient is a direct expression of corporategovernance and is also the dominant difference from other forecastingmodels for financial distress. The accurate rates of our model are 84.52%for -1- year data and 95.45% for the new-added ST companies of2000.

本文首先讨论了治理弱化与财务危机的辨证关系;然后在分析13个变量的基础上,运用Logistic回归给出了判别上市公司财务危机的一个模型。这一模型包括四个变量:毛利率、其它应收款与总资产的比率、短期借款与总资产的比率、股权集中系数。其中,股权集中系数是公司治理结构的直接表征,也是本文模型异于其他预测模型的首要区别。本文模型的回判准确率为84.52%,而对2000年新增加的“ST”公司的判别准确率则达到了95.45%。

Selected Special Treatment (ST) Companies from 1998 to 2000 as samples, we document a significantly negative stock price response to ST announcements. The segment samples also support this conclusion. The multivariate regression analysis suggest that firms with higher leverage experience a larger adverse stock price response, and market reacts differently to different year and different reasons which were specialized treatment. However, the size and age of the firms are not significantly related...

Selected Special Treatment (ST) Companies from 1998 to 2000 as samples, we document a significantly negative stock price response to ST announcements. The segment samples also support this conclusion. The multivariate regression analysis suggest that firms with higher leverage experience a larger adverse stock price response, and market reacts differently to different year and different reasons which were specialized treatment. However, the size and age of the firms are not significantly related to equity wealth.

本文选取 1 998年到 2 0 0 0年被实施特别处理的公司作为样本 ,详细分析了被特别处理公司公告的信息含量及其影响因素。研究发现在ST公告的 (- 40 ,+40 )事件窗口内的累计超额收益为负值 ,表明市场对ST公告作出了负面反应。同时 ,通过对样本细分进一步考察了市场对ST公告的各种反应。多元回归分析发现 :资产负债率越高的公司 ,市场对被特别处理公告的反应程度越大 ;市场对ST公告的不同年份及对实施特别处理的两种情况的负面反应程度有一定程度的差异 ;但对资产规模及公司上市时间长短的反应并不显著

 
<< 更多相关文摘    
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关st company的内容
在知识搜索中查有关st company的内容
在数字搜索中查有关st company的内容
在概念知识元中查有关st company的内容
在学术趋势中查有关st company的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社