Learn financial and business lessons from some of the biggest frauds in history Why does financial fraud persist? History is full of sensational financial frauds and scams. Enron was forced to declare bankruptcy after allegations of massive accounting fraud, wiping out $78 billion in stock market value. Bernie Madoff, the largest individual fraudster in history, built a $65 billion Ponzi scheme that ultimately resulted in his being sentenced to 150 years in prison. People from all walks of life have been scammed out of their money: French and British nobility looking to get rich quickly, farmers looking for a miracle cure for their health ailments, several professional athletes, and some of Hollywood’s biggest stars. No one is immune from getting deceived when money is involved. Don’t Fall For It is a fascinating look into some of the biggest financial frauds and scams ever. This compelling book explores specific instances of financial fraud as well as some of the most successful charlatans and hucksters of all-time. Sharing lessons that apply to business, money management, and investing, author Ben Carlson answers questions such as: Why do even the most intelligent among us get taken advantage of in financial scams? What make fraudsters successful? Why is it often harder to stay rich than to get rich? Each chapter in examines different frauds, perpetrators, or victims of scams. These real-life stories include anecdotes about how these frauds were carried out and discussions of what can be learned from these events. This engaging book: Explores the business and financial lessons drawn from some of history’s biggest frauds Describes the conditions under which fraud tends to work best Explains how people can avoid being scammed out of their money Suggests practical steps to reduce financial fraud in the future Don’t Fall For It: A Short History of Financial Scams is filled with engrossing real-life stories and valuable insights, written for finance professionals, investors, and general interest readers alike.

The “greater fool” theory of economics states that it’s possible to make money by buying paper (securities), whether overvalued or not, and later, selling it at a profit because there will always be an even greater fool willing to pay the higher price. Many described in this book profited by peddling such worthless junk to foolish investors. But for some people—Bernie Madoff, Norman Hsu, Sholam Weiss, and “Crazie Eddie” Antar, aka the “Darth Vader of Capitalism”—overvalued securities were not enough. Outright fraud was their way of life. History of Greed is the compelling inside story of the names you know—Charles Ponzi, Baron Rothschild, Lou Pearlman—and the names you don’t—Isaac Le Maire, the world’s first “naked” short-seller. It’s also our story—why we ignore the lessons of the past and fall prey, most every time, to the promise of easy money. For thousands of years, alchemists unsuccessfully tried to turn worthless base metals into gold. Where science failed at turning nothing into something, business succeeded. Sometimes we praise the creators of derivatives, collateral debt obligations, subprime mortgages, credit default swaps, or auction rate securities as Wall Street’s new financial wizards, the creators of “magic paper.” Other times, we vilify and prosecute them as scam artists. Sometimes, it’s hard to tell who is who. History of Greed reveals the inside secrets of how the markets really work, and how scam artists abuse them to gain an unfair edge or to outright steal. It describes how luftgescheft (“air business”), wizardry, dishonesty, and fraud are used to swindle people. Along with a comprehensive bibliography, History of Greed also details: 400 years of financial fraud—from everyday fraud to the odd and unusual Accounting fraud (phantom sales), stock option fraud (backdating), auction rate securities, hedge fund fraud, Ponzi schemes, promotion fraud (pump-and-dump scams), and money laundering How to detect fraudulent schemes How government regulation only fixes yesterday’s problems If it’s too good to be true, it probably is. If they say you can’t lose, you probably will. History of Greed shows that there really is no such thing as a free lunch, while also detailing how not to become the “greater fool.”

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.