首页> 外文会议>The International Conference on Management of Technology(2008太原技术管理国际研讨会)论文集 >A Neural Network Model Applied to Risk Guard Against Moral Hazard in Domestic Commercial Banks
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A Neural Network Model Applied to Risk Guard Against Moral Hazard in Domestic Commercial Banks

机译:神经网络模型在国内商业银行​​防范道德风险中的应用

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China's commercial banks arc prevalent in the asymmetric information of "principal-agent"relationship in financial transactions, because of the asymmetric between banks and borrowers, the banks have to confront a problem which is moral hazards. In this paper we proposed a credit rank appraisal index system in view of China's commercial bank's actual operational mechanism, and has constructed a model being on guard against moral hazard based on the neural network technology, this model will help the banks to learn about the future credit of the borrowers before loan providing. Finally, the guard model gave a detailed argument on the feasibility analysis through commercial bank recent years" financial data,which shows the feasibility and validity.
机译:中国的商业银行在金融交易中“主体-代理人”关系信息的不对称中十分普遍,由于银行与借款人之间的不对称,银行不得不面对道德风险这一问题。针对我国商业银行的实际运作机制,本文提出了一种信用等级评价指标体系,并基于神经网络技术构建了防范道德风险的模型,该模型将有助于银行了解未来。提供贷款之前借款人的信贷。最后,警卫队模型通过商业银行近几年的财务数据对可行性分析进行了详细的论证,表明了可行性和有效性。

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