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引用次数: 3

摘要

本文采用logistic模型建立了两家银行间存贷款行为的数学模型。有四个模型代表了两家银行之间储蓄和债务转移的组合。基于印尼两组商业银行的月度存贷款数据,采用螺旋优化算法估计各模型的参数值。结果给出了能很好拟合数据的模型解。从长期来看,存贷款总量将趋于均衡值,但由于转移因素的影响,每个模型的行为不同。本文采用logistic模型建立了两家银行间存贷款行为的数学模型。有四个模型代表了两家银行之间储蓄和债务转移的组合。基于印尼两组商业银行的月度存贷款数据,采用螺旋优化算法估计各模型的参数值。结果给出了能很好拟合数据的模型解。从长期来看,存贷款总量将趋于均衡值,但由于转移因素的影响,每个模型的行为不同。
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Logistic models of deposit and loan between two banks with saving and debt transfer factors
In this paper, we propose mathematical models to describe the behavior of deposit and loan volumes between two banks via logistic model. There are four models that represent the combination of saving and debt transfer between two banks. The parameters values of each model are estimated using the spiral optimization algorithm based on monthly data on deposit and loan volumes of two groups of commercial banks in Indonesia. The results give the solution of the models that can fit the data well. In the long run, the amount of deposit and loan will go to their equilibrium values but each model has different behaviors due to the impact of the transfer factors.In this paper, we propose mathematical models to describe the behavior of deposit and loan volumes between two banks via logistic model. There are four models that represent the combination of saving and debt transfer between two banks. The parameters values of each model are estimated using the spiral optimization algorithm based on monthly data on deposit and loan volumes of two groups of commercial banks in Indonesia. The results give the solution of the models that can fit the data well. In the long run, the amount of deposit and loan will go to their equilibrium values but each model has different behaviors due to the impact of the transfer factors.
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