Detection of financial fraud using recursive partitioning techniques

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

Abstract

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
PublisherISME
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

Name
ISSN (Print)2185-5471

Conference

ConferenceInternational Symposium on Management Engineering
Abbreviated titleISME 2013
CountryChina
CityHangzhou
Period11/10/1313/10/13

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Cite this

Kumar, K. (2013). Detection of financial fraud using recursive partitioning techniques. In Proceedings of the International Symposium on Management Engineering Online : ISME.
Kumar, Kuldeep. / Detection of financial fraud using recursive partitioning techniques. Proceedings of the International Symposium on Management Engineering. Online : ISME, 2013.
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abstract = "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.",
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Kumar, K 2013, Detection of financial fraud using recursive partitioning techniques. in Proceedings of the International Symposium on Management Engineering. ISME, Online , International Symposium on Management Engineering, Hangzhou, China, 11/10/13.

Detection of financial fraud using recursive partitioning techniques. / Kumar, Kuldeep.

Proceedings of the International Symposium on Management Engineering. Online : ISME, 2013.

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

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AB - 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.

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Kumar K. Detection of financial fraud using recursive partitioning techniques. In Proceedings of the International Symposium on Management Engineering. Online : ISME. 2013