期刊文献+

大数据背景下个人征信评分业务发展探讨 被引量:3

Discussion on the development of personal credit rating business under the background of big dataDiscussion on the development of personal credit rating business under the background of big data
下载PDF
导出
摘要 随着金融科技的快速发展,将大数据技术应用于个人信用评分领域是必然趋势。依赖大数据技术的新兴信用评分体系具有指标数量庞大,处理速度快,更新周期短等优势,但难以掌握核心的信贷历史数据,也存在着信息透明度不高,信息安全难以保证等问题。打破数据壁垒,加强大数据信用评分模型在传统信贷领域的应用,提高信用评分体系的透明度将有助于完善我国个人征信体系和防控金融风险。
作者 秦苑 郅曼琳 Qin yuan;Zhi Manlin
出处 《广西大学学报(哲学社会科学版)》 CSSCI 2022年第1期149-154,共6页 Journal of Guangxi University(Philosophy and Social Sciences)
基金 广西科技重大专项“中国—东盟金融合作大数据平台开发与应用”(AA18118054)。
  • 相关文献

参考文献4

二级参考文献14

  • 1Altman,E. Corporate Distress Diagnosis: Comparisons Using Linear Discriminate Analysis and Neural Networks[J]. Banking and Finance, 1994, (8).
  • 2Fisher,R.A.The Use of Multiple Measurements in Taxonomic Problems[J].Annals of Eugenics,1936,(7).
  • 3Eisenbeis,R. A. Pitfalls in the Application of Discriminate Analysis in Business, Finance and Economics[J]. Journal of Finance, 1977,(3).
  • 4Orgler,Y.Evaluation of Bank Consumer Loans with Credit Scoring Models[J]. Journal of Bank Research, 1971,(1).
  • 5Wiginton,J. A Note on the Comparison of Logit and Discriminate Models of Consumer Credit Behaviour[J]. Journal of Financial and Quantitative Analysis, 1980, (1).
  • 6Lee T.H.and Jung S.C. Forecasting Credit Worthiness: Logistic vs. Artificial Neural Net[J]. The Journal of Business Forecasting Methods & System, 2000, (18) : 28.
  • 7Thomas L.C. and Edelman D.B. Crook J.N. Credit Scoring and Its Application[J].Society for Industrial and Applied Mathematics, 2002, (4).
  • 8David West. Neural Network Credit Scoring Models[J].Computers & Operations Research, 2000,(27):1131.
  • 9Makow,skip D. Credit Scoring Branches Out[J].Redit World,1985,(7).
  • 10黄锴.芝麻信用接入消费金融互联网征信的数据之辩[N].21世纪经济报道,2015-4-9(19).

共引文献49

同被引文献77

引证文献3

二级引证文献8

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