Detection of financial fraud using recursive partitioning techniques

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


Financial fraud and then the consequent bankruptcy of a business is one of the reasons for the current financial crisis. The development and application of computational tools in financial fraud detection and bankruptcy prediction has become quite a popular cross-disciplinary research area in recent times involving financial engineers, forensic accountants and statistical modellers. In this paper we provide a review and comparative analysis of prediction performance of a battery of financial engineering tools used in financial fraud detection. We have found Hybrid model performs better as compared to other models. The computational models we have posited and reviewed using the real data can be generally applied to detect such financial frauds.
Original languageEnglish
Title of host publicationProceedings of the International Symposium on Management Engineering
Place of PublicationOnline
Number of pages5
Publication statusPublished - 2013
EventInternational Symposium on Management Engineering - Hanzhou, Hangzhou, China
Duration: 11 Oct 201313 Oct 2013
Conference number: 10th

Publication series

ISSN (Print)2185-5471


ConferenceInternational Symposium on Management Engineering
Abbreviated titleISME 2013


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