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基于信用迁移的贷款组合多目标优化问题研究
引用本文:安晓会,高岳林. 基于信用迁移的贷款组合多目标优化问题研究[J]. 安庆师范学院学报(自然科学版), 2008, 14(1): 6-11
作者姓名:安晓会  高岳林
作者单位:宁夏大学,数学与计算机科学学院;北方民族大学,信息与系统科学研究所,宁夏,银川,750021
基金项目:国家教育部社科规划项目,中国博士后科学基金
摘    要:针对现有研究大都仅对单个目标进行优化的现状,提出一种优化决策模型,即将企业信用风险迁移引入到贷款收益率的计算中,以限制资产数目、决策变量上下界等为约束条件,建立组合投资的收益最大、同时方差风险最小的优化决策模型。该模型是一个混合0-1变量的多目标规划问题,提出求解该模型的一种自适应改变惯性权重的离散粒子群算法,数值结果表明该算法是有效的,模型是合理的。

关 键 词:贷款组合优化  信用迁移  整数规划  多目标规划  离散粒子群优化  自适应惯性权重
文章编号:1007-4260(2008)01-0006-06
修稿时间:2007-09-01

A Multi-objective Optimization Problem for Loan Portfolio Based on Credit Risk Transfermation
AN Xiao-hui,GAO Yue-lin. A Multi-objective Optimization Problem for Loan Portfolio Based on Credit Risk Transfermation[J]. Journal of Anqing Teachers College(Natural Science Edition), 2008, 14(1): 6-11
Authors:AN Xiao-hui  GAO Yue-lin
Abstract:This paper transfers the corporate credit risk into the calculation of loan return.We set up a loan's portfolio hybrid 0-1 multi-objective optimization model,in which the maximum portfolio profit and the minimum of risk of banks are taken as objective functions,meanwhile,the number of asset and the upper and lower limits are taken as constrains.A new discrete Particle Swarm algorithm with self adaptable changing inertia weight is presented to solve the problem.It is shown by the numerical result that the algorithm is effective and the given model is reasonable.
Keywords:loan portfolio optimization  credit risk transfer  Integer programming  multi-objective programming  discrete particle swarm  adaptable inertia weigh
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