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交叉熵算法在企业违约风险评估中的应用研究
引用本文:周泓,邱月. 交叉熵算法在企业违约风险评估中的应用研究[J]. 计算机工程与应用, 2008, 44(20): 13-16. DOI: 10.3778/j.issn.1002-8331.2008.20.005
作者姓名:周泓  邱月
作者单位:北京航空航天大学,经济管理学院,北京,100083;北京航空航天大学,经济管理学院,北京,100083
基金项目:国家自然科学基金 , 教育部跨世纪优秀人才培养计划
摘    要:系统仿真是风险评价的一种重要手段,针对企业违约预测问题,提出了一种基于交叉熵算法的违约风险评判方法。采用公司未偿还贷款的概率作为衡量违约风险高低的标准,利用交叉熵方法构造企业违约风险识别模型及其算法,并由此估计出发生损失的概率。与传统的预测方法进行比较,结果表明该模型对违约风险具有很强的识别能力,预测精度高。

关 键 词:交叉熵  风险评估  仿真  违约风险
收稿时间:2008-03-10
修稿时间:2008-4-18 

Application research on corporate default risk assessment based on cross-entropy algorithm
ZHOU Hong,QIU Yue. Application research on corporate default risk assessment based on cross-entropy algorithm[J]. Computer Engineering and Applications, 2008, 44(20): 13-16. DOI: 10.3778/j.issn.1002-8331.2008.20.005
Authors:ZHOU Hong  QIU Yue
Affiliation:School of Economics and Management,Beihang University,Beijing 100083,China
Abstract:System simulation is one of important tool for risk assessment.A new method is presented to deal with corporate default forecast problems based on cross-entropy algorithm.The failure probability of repaying loans of corporation is taken as the criterion to measure the level of default risk.The cross-entropy scheme is adopted to construct the model of default risk identification,based on which the loss probability can be assessed.Contrasted to traditional forecasting methods,the forecasting method has a strong capability to identify the default risk and high forecasting precision.
Keywords:cross-entropy  risk assessment  simulation  default risk
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