Investigating Complex Financial Crime: A Case Study Inspired by the Polly Peck PLC Fraud

Journal of Harmonized Management Research, 4 (4), pp. 124-135

12 Pages Posted: 9 Feb 2019

See all articles by Paul Eisenberg

Paul Eisenberg

University of Derby; University of Portsmouth

Date Written: October 09, 2018

Abstract

The purpose of this article is to illustrate a financial fraud investigation by the way of a case study inspired by the famous Polly Peck PLC fraud case. After exploring the features of an investigation plan, false accounting and theft charges are explained and exemplified. Various techniques of tracing the crime proceeds are analysed, as well as investigative models and methods to provide evidence.

Methodologically, economic fraud investigations are discussed through an in-depth literature review. The investigative models applied are characterised by Data Mining techniques (Decision Trees, Neural Networks and Benford’s law) as well as the Net Worth Method, the Bank Deposit Method, the Specific Item Method and Digital Link Analysis.

The case study shows that Benford’s law and Neural Networks, together with the Specific Item Method can render results admissible in criminal court in cumbersome financial fraud cases involving several jurisdictions and complex banking arrangements.

Keywords: Financial Fraud Investigation, Data Mining, Benford’s Law, Neural Networks, Specific Item Method

JEL Classification: K13, K14, K41, K42, M40, M41, M42

Suggested Citation

Eisenberg, Paul, Investigating Complex Financial Crime: A Case Study Inspired by the Polly Peck PLC Fraud (October 09, 2018). Journal of Harmonized Management Research, 4 (4), pp. 124-135. Available at SSRN: https://ssrn.com/abstract=3324273 or http://dx.doi.org/10.2139/ssrn.3324273

Paul Eisenberg (Contact Author)

University of Derby ( email )

Kedleston Road
Derby, Derbyshire DE22 1GB
United Kingdom

University of Portsmouth ( email )

University House
Winston Churchhill Avenue
Portsmouth, Hampshire PO1 2UP
United Kingdom

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