期刊文献+

企业信用能力表征量双重相关性实证研究 被引量:7

A study on the double relativity about capacity parameters of enterprise credit
原文传递
导出
摘要 通观国内当前实务操作和理论研究中企业信用评价指标体系之间的差异、矛盾不难发现,指标及其权重的设置不仅普遍缺乏可靠的依据而且具有明显的随意性,从而不仅让人对企业信用评价之客观性、科学性产生质疑,而且提示企业信用评价指标体系相关性理论——评价指标与企业信用的相关性和评价指标之间相关性研究的缺失。鉴此,本文遵循理论分析和实证研究相结合的原则,探讨了企业信用能力评价指标的上述双重相关性问题,得出目前企业信用评价模型或指标体系中信用能力评价常用指标中有一半基于指标间的高度相关性而完全可相互替代,仅有不足一半的指标与企业信用存在显著相关性的结论;并基于信用能力评价指标与企业信用的相关性初步得出各指标的评价权重。 Looking at the theoretical and practical works involving the evaluation for enterprise credit in China,the objectivity and scientificness of these works are in doubt by public due to the difference,randomness,and conflict of index systems and index coefficient of the evaluation for enterprise credit.The cause for this situation is lack of study on the relativity between evaluation index,and between enterprise credit and evaluation index.Therefore the double relativity about the evaluation for credit capacity of enterprise is discussed and the conclusion is drawn that the half of evaluation index could be substituted by the other index,less than the half of evaluation index is related to the enterprise credit and their evaluation weights are ascertained based on the index for credit capacity of enterprise and the relativity between enterprise credit.
作者 管晓永
机构地区 浙江财经学院
出处 《科研管理》 CSSCI 北大核心 2010年第2期114-120,共7页 Science Research Management
基金 国家社科基金项目"中小企业信用管理体系建设研究"(GB04BJ038) 浙江省社科基金项目"浙江省食品安全信用体系建构理论及应用研究(06CGGL51YBM)"的研究成果
关键词 企业 信用评价 能力表征量 相关性 enterprise credit evaluation capacity parameter relativity
  • 相关文献

参考文献9

  • 1Altman, E. I. ( 1968 ) , Financial ratios, discriminant analysis anti the prediction of corporate bankruptcy. The Journal of Finance 23,589 - 609.
  • 2Altman ,E. I. ,Hadelman, R. G. , Narayanan, P. ( 1977 ), Zeta analysis, a new model to identify bankruptcy risk of corporations. Journal of Banking and Finance 1,29 -51.
  • 3Lyn, C. T. (2000) ,A survey of credit and behavioral scoring: forecasting financial risk of lending to consumers. International Journal of Forecasting 16,149 - 172.
  • 4Ahmet, B. E. , Muhittin, O. , Arnold, R. , Reha, Y. (2003). , A credit scoring approach for the commercial banking sector. Socio - Economic Planning Sciences37,103 - 123.
  • 5Ohlson, J. A. (1980) , Financial ratios and the probabilistie prediction of bankruptcy. Journal of Accounting Research, Spring, 109 - 131.
  • 6Breirnan, L., Friedman,.l.H. ,Olsen,lL A. ,Stone,C. J. (1984), Classification and Regression Trees. The Wadsworth Satistics/ Probability Series, Wadseorth & Brooks/Cole Advance Books & Software ,Pacific Grove, CA.
  • 7Messier, W. F. , Hansen, J. V. ( 1988 ), Including rules for expert system development: An example using default and bankruptcy data. Management Science 34/12,1403 -1415.
  • 8袁莉,李宏男,姜韶华,王晓辉.基于SVM的建筑企业信用评价研究[J].价值工程,2009,28(3):141-144. 被引量:8
  • 9Dimitras,A. I. ,Zanakis, R. ,S. H. , Zopounidis, C. (1996),A survey of business failures with an emphasis on prediction methods and Industrial applications. European Journal of Operational Research 90,487 -513.

二级参考文献11

  • 1刘高军,朱嬿.Credit Assessment of Contractors:A Rough Set Method[J].Tsinghua Science and Technology,2006,11(3):357-362. 被引量:2
  • 2陈殿左.《信用治理》[M].机械工业出版社,2004:198-202.
  • 3Zan Huang, Hsinchun Chen, Chia-Jung Hsu, Wun-Hwa Chen, Soushan Wu. Credit rating analysis with support vector machines and neural networks: a market comparative study [J]. Decision Support Systems, 2004, 37: 543-558.
  • 4Young-Chan Lee. Application of support vector machines to corporate credit rating prediction. Expert Systems with Applications, 2007, (3): 67-74.
  • 5Nello Cristianini,John Shawe-Taylor.《支持向量机导论》[M].电子工业出版社,1988:89-95.
  • 6中诚信国际评级方法框架-中国房地产业.http://www.ccxi.com.cn/,2007:3-14.
  • 7Chih-Chung Chang and Chih-Jen Lin. LIBSVM: a Library for Support Vector Machines [EB/OL].http://www.csie.ntu.edu.tw/-cjlin/ libsvm/, 2008:3-10.
  • 8Keerthi S S and C-J Lin. Asymptotic behaviors of support vector machines with Gaussian kernel [J]. Neural Computation. 2003, 15 (7): 1667-1689.
  • 9Lin H-T, C-J Lin. A study on sigmoid keme|s for SVM and the training of non-PSD kernels by SMO-type methods [EB/OL]. http:// www.csie.ntu.edu.tw/-cjlin/libsvm/, 2003:5-6.
  • 10Vapnik V. Statistical learning theory [M]. New York: Springer, 1998:25-28.

共引文献7

同被引文献114

引证文献7

二级引证文献31

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部