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中国管理科学 ›› 2015, Vol. 23 ›› Issue (2): 39-43.doi: 10.16381/j.cnki.issn1003-207x.2015.02.005

• 论文 • 上一篇    下一篇

商业银行集团客户统一授信额度的优化配置研究

陈林, 周宗放   

  1. 电子科技大学经济与管理学院, 四川 成都 610054
  • 收稿日期:2013-06-17 修回日期:2013-12-07 出版日期:2015-02-20 发布日期:2015-02-28
  • 作者简介: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.
  • 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

CHEN Lin, ZHOU Zong-fang   

  1. School of Management and Economics, University of Electronic Science & Technology of China, Chengdu 610054, China
  • Received:2013-06-17 Revised:2013-12-07 Online:2015-02-20 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。

关键词: 授信额度, 结构化模型, 企业集团, 违约概率

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.

Key words: credit line, structural model, enterprise group, default probability

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