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

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - International Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008
Pages728-732
Number of pages5
DOIs
StatePublished - 2008
EventInternational Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008 - Moscow, Russian Federation
Duration: 23 May 200825 May 2008

Publication series

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

Conference

ConferenceInternational Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008
Country/TerritoryRussian Federation
CityMoscow
Period23/05/0825/05/08

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