Evolving nature of fraud investigation and prevention

This thesis is concerned with the evolution of fraud investigation and prevention in light of the advances in computing technology. These recent advances have impacted upon traditional fraud offences as well as creating a range of new crimes. The financial significance of fraud is growing whereas law enforcement and the judicial system appear to be unable to meet the demands of these emerging crimes and its victims. This research compares the responses of our present and future investigators with those of our current business leaders from the government and the commercial sectors. This research establishes the needs of corporate decision-makers and the attitudes of police with regard to fraud. Data relating to persons arrested and convicted of fraud was also analysed to identify the issues that may be responsible for the non-reporting of offences to police by victims. The research found that victims are seeking solutions that are not available through law enforcement, for example financial compensation. Law enforcement also under-utilises the potential of proactive responses to prevent offences and they are reluctant to acknowledge the benefits of preventative measures and to incorporate this strategy within criminal investigation training programmes. The lack of deterrence offered by the judicial system does not make the situation any better. The police function is still primarily a reactive one. In order to overcome fraud and to be able to adapt to changes there needs to be collaboration between stakeholders. This requires a joint effort from the police, government, commerce and the victims of fraud. An innovative model involving stakeholders has been formulated that represents an alternative to the current system. This approach utilises the financial resources and expertise from the commercial sector as well as the skills of criminal investigators from the police. This means adopting a combined package of both reactive and proactive measures in order to minimise the impact of fraud. This model will be adaptive and will be able to accommodate any future requirements arising out of further inevitable advances in computer technology.

Enhancements to fraud and deception prevention in open multi-agent marketplaces

Fraud and deception in online marketplaces has been an on-going problem. This thesis proposes novel techniques and mechanisms using agent technology to protect buyers and sellers in online environments such as eBay. The proposed solution has been rigorously tested and the results show good commercial promise.

A comparative analysis of decision trees vis-à-vis other computational data mining techniques in automotive insurance fraud detection

The development and application of computational data mining techniques in financial fraud detection and business failure prediction has become a popular cross-disciplinary research area in recent times involving financial economists, forensic accountants and computational modellers. Some of the computational techniques popularly used in the context of - financial fraud detection and business failure prediction can also be effectively applied in the detection of fraudulent insurance claims and therefore, can be of immense practical value to the insurance industry. We provide a comparative analysis of prediction performance of a battery of data mining techniques using real-life automotive insurance fraud data. While the data we have used in our paper is US-based, the computational techniques we have tested can be adapted and generally applied to detect similar insurance frauds in other countries as well where an organized automotive insurance industry exists.

Can analyst coverage reduce the incidence of fraud? Evidence from China

We investigate the impact of security analyst coverage on the incidence of corporate financial fraud in China. After controlling for the endogeneity between analyst following and fraud, we find that financial analyst coverage cannot significantly influence the incidence of fraud. The empirical findings suggest that financial analysts do not serve as external monitors to managers and large shareholders in China. © 2014 Taylor & Francis.

Fraud, market reaction, and the role of institutional investors in Chinese listed firms

The extent and type of financial fraud committed by listed firms in China, stock market reaction to the detection and announcement of fraud, and the association between institutional ownership and financial fraud are the subjects of this article. Using fraud data from the period between 2001 and 2011, the authors find wide occurrences of fraud and a strong negative market reaction on the announcement date, particularly in cases of serious fraud. Fraud is more likely to occur at firms that have a smaller proportion of independent directors and at poorly performing firms. Firms with higher mutual fund ownership subsequently have fewer incidences of fraud. Our results reports by the authors indicate that ownership by independent institutions, such as mutual funds, serves as an effective monitoring mechanism, deterring fraud and enhancing corporate governance in Chinese capital markets.

The ‘great unwatched’ and the ‘lightly touched’: surveillance and stock market fraud

This chapter examines financial corporate crime, specifically the discontinuitiesand asymmetries in power that condition the differential uses of surveillance andsurveillance technologies in the governance of stock market fraud. It studiesstate and non-state control ('rule at a distance') (Rose and Miller 1992), theresistance practiced by the powerful economic actors who make up national andinternational equity trading markets, and the control efforts of regulatory agenciescharged with preventing, regulating and enforcing laws to counter stockmarket crime. At a theoretical level the study critiques the claims of surveillanceliteratures that technologically mediated surveillance, 'the new transparency',renders all social fields visible, and therefore knowable, manageable and governable(Haggerty and Ericson 2000), by documenting and interrogating how codeis used by powerful bankers, lawyers, accountants and stock brokers to construct'visibility covers' (Williams 2008: 1; Snider 2009; Braithwaite 2005).

Detecting Fraud: The Role of the Anonymous Reporting Channel

The purpose of this paper is to examine whether anonymous reporting channels (ARCs) are effective in detecting fraud against companies. Fraud, which comprises predominantly asset misappropriation, represents a key operational risk and a major cost to organisations (ACFE, http://www.acfe.com/uploadedFiles/ACFE_Website/Content/rttn/2012-report-to-nations.pdf, 2012; KPMG, http://www.kpmg.com/AU/en/IssuesAndInsights/ArticlesPublications/Fraud-Survey/Documents/fraud-bribery-corruption-survey-2012v2.pdf, 2012). The fraud triangle (incentives, opportunities and attitudes) provides a framework for developing our understanding of how ARCs can increase detection of fraud. Using publicly listed company survey data collected by KPMG in Australia—where ARCs are not mandated—we find a positive association between ARCs and reported fraud. These results indicate that ARCs are effective in detecting fraud. Additional analysis reveals that small firms derive the greatest benefit from adopting ARCs. We also find that independent boards do not directly influence the detection of fraud, but companies with independent boards detect more fraud because they implement ARCs.

Online scams and fraud: Australians lose over $90 million in 2014

According to the Australian Competition and Consumer Commission (ACCC) Australians gave more than $90 million to scammers in 2014, which is a slight increase on the 2013 figures. And while dating and romance scams still make up a large proportion of the fraud being committed, the most complaints to the ACCC are related to advance fee fraud – those scams where you receive a message from someone who needs your help to get money out of a foreign bank account.