Fraud

When for-profit colleges deceive students

For-profit colleges and vocational schools — especially online programs — provide degree-earning opportunities to many Americans who might not otherwise be able to pursue higher education due to financial pressures and work or family obligations. But as countless complaints and lawsuits suggest, some for-profit institutions engage in deceptive, and even illegal, recruiting and retention practices. […]

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Actively look for fraud and reduce financial losses: fraud detection

The Association of Certified Fraud Examiners’ (ACFE’s) Report to the Nations: 2020 Global Study on Occupational Fraud and Abuse provides ample evidence that some fraud detection methods are better than others. In general, passive methods, such as accidental discovery or notification by police, coincide with longer-running schemes and higher financial costs. To nab dishonest employees […]

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What goes into a fraud damages calculation?

At first glance, calculating restitution for fraud damages may seem relatively simple. If someone steals $10,000 from a company, that person should repay that amount, perhaps with interest, right? Not quite. Financial experts also consider the profits the business lost because of the fraud — and weigh different methods of computing damages. The appropriate approach […]

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No disaster scammer is safe from the NCDF

What do COVID-19, major hurricanes, and West Coast wildfires have in common? All three have attracted scam artists, who have bilked disaster victims, charitable donors, insurance companies, and government agencies out of billions of dollars. Also, all of these disasters — and the criminals who take advantage of them — are the focus of The […]

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3 ways fraud experts use data analytics

Forensic accountants have long used technological tools to uncover fraud schemes. But recent advances in “big data” have provided even better, more efficient techniques for identifying suspicious activities and dishonest employees. These are three common types of data analytics used by fraud experts: 1. Association analysis This method can help identify suspicious relationships by quantifying […]

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