主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院
论文

商业银行集团客户统一授信额度的优化配置研究

展开
  • 电子科技大学经济与管理学院, 四川 成都 610054
陈林(1973-),男(土家族),重庆黔江人,电子科技大学经济与管理学院,博士,副教授,研究方向:信用风险评估与管理研究.

收稿日期: 2013-06-17

  修回日期: 2013-12-07

  网络出版日期: 2015-02-28

基金资助

教育部人文社科一般项目(10XJC630001);国家自然科学基金资助项目(70971015)

Research on Optimized Allocating the Unified Credit Line of Group Customer of Commercial Bank

Expand
  • School of Management and Economics, University of Electronic Science & Technology of China, Chengdu 610054, China

Received date: 2013-06-17

  Revised date: 2013-12-07

  Online published: 2015-02-28

摘要

企业集团是商业银行重要的贷款客户,商业银行面临企业集团的授信业务风险尤为突出。在结构化模型的框架下,考虑统一授信额度的约束,基于对违约风险控制和贷款收益管理的多目标决策,构建了企业集团成员企业授信额度优化配置模型。示例分析表明,在考虑不同目标重要性的前提下,使用如遗传算法等最优化求解方法,可得到对成员企业授信额度的优化配置方案,从而有助于商业银行积极主动的防范集团客户的信贷风险。

本文引用格式

陈林, 周宗放 . 商业银行集团客户统一授信额度的优化配置研究[J]. 中国管理科学, 2015 , 23(2) : 39 -43 . DOI: 10.16381/j.cnki.issn1003-207x.2015.02.005

Abstract

The enterprise group is the chief loan customer of commercial bank, and this situation lead up to that the default risk of enterprise group is particularly prominent for commercial bank. According to the structural model and the constraint of unified credit line, and based on multi-objective decision-making on management of default risk and loan revenue, a model of optimized allocating the unified credit line to the group customer of commercial bank under unification principle is put forward. A case analysis shows that it can get the optimized allocating unified credit line for each members of enterprise group by genetic algorithm under condition of setting different importance of each target. This method may help commercial banks to actively prevent credit risk of enterprise group.

参考文献

[1] Chava S, Jarrow R.Modeling loan commitments [J]. Finance Research Letters,2008,5(1):11-20.

[2] Thakor A V. Toward a theory of bank loan commitments [J]. Journal of Banking &Finance, 1982,6(1):55 -83.

[3] Chateau,J P D.Valuation of ‘capped’ variable rate loan commitments [J]. Journal of Banking &Finance, 1990, 14(4): 717-728.

[4] Hau A. Pricing of loan commitments for facilitating stochastic liquidity needs [J].Journal of Financial Services Research,2011,39(1):71-94.

[5] Campbell T S. A model of the market for lines of credit [J].The Journal of Finance,1978,33(1):231-244.

[6] Boot A, Thakor A V, Udell G F.Competition, risk neutrality and loan commitments[J]. Journal of Banking and Finance, 1987, 11(3):449-471.

[7] Martin J S, Santomero A M. Investment opportunities and corporate demand for lines of credit [J]. Journal of Banking & Finance,1997,21(10):1331-1350.

[8] Agarwal S, Ambrose B,Liu Chunlin.Credit lines and credit utilization[J]. Journal of Money, Credit and Banking,2006,38(1):1-22.

[9] 李敬.对最高授信额度核定模型的认识[J].现代金融,2003,(6):11-12.

[10] 周兰珍.额度授信控制量测算公式探讨[J].技术经济与管理研究,2003,(4):74-75.

[11] 刘斌.国内股份制商业银行综合授信管理问题研究[J].国际金融研究,2005,(1):33-39.

[12] 何自力.授信额度核定的逻辑:一个共生理论的视角[J].金融论坛,2007,12(1):31-36.

[13] 李桂君,王瑶琪,林则夫.中国商业银行集团客户信贷的项目管理模式研究[J].中国软科学,2009,(6):112-118.

[14] 邵立云.商业银行集团客户授信管理中面临的问题及建议[J].世界经济情况,2010,(2):53-56.

[15] Chen Lin, Zhou Zongfang, Peng Yi, et al. Structural model for determining enterprise group's integrated lines of credit [J]. International Journal of Information Technology & Decision Making,2011, 10(2): 269-285.

[16] 陈林,周宗放,顾婧.基于复合期权、篮子期权及股权关系的企业集团母公司信用风险度量研究[J].中国管理科学,2011,19(5):167-172.
文章导航

/