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Application of the cross entropy method to the credit risk assessment in an early warning system

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Traditional Monte Carlo method usually takes a long time to simulate rare event, while importance sampling techniques can effectively reduce the simulation time and improve simulation efficiency. In this paper, an importance sampling method - cross entropy is presented to deal with credit risk assessment problems for commercial banks. The failure event of repaying loans is treated as rare event due to the relatively low probability, and the failure probability of repaying loans is taken as the criterion to measure the level of credit risk. Numerical experiments have shown that the cross entropy method has a strong capability to identify the credit risk and it is a good tool for credit risk early warning system.

源语言英语
主期刊名Proceedings - International Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008
728-732
页数5
DOI
出版状态已出版 - 2008
活动International Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008 - Moscow, 俄罗斯联邦
期限: 23 5月 200825 5月 2008

出版系列

姓名Proceedings - International Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008

会议

会议International Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008
国家/地区俄罗斯联邦
Moscow
时期23/05/0825/05/08

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