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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.

Practical examples, sample reports, best practices and recommendations to help you deter, detect, and prevent financial statement fraud Financial statement fraud (FSF) continues to be a major challenge for organizations worldwide. Financial Statement Fraud: Prevention and Detection, Second Edition is a superior reference providing you with an up-to-date understanding of financial statement fraud, including its deterrence, prevention, and early detection. You will find A clear description of roles and responsibilities of all those involved in corporate governance and the financial reporting process to improve the quality, reliability and transparency of financial information. Sample reports, examples, and documents that promote a real-world understanding of incentives, opportunities, and rationalizations Emerging corporate governance reforms in the post-SOX era, including provisions of the SOX Act, global regulations and best practices, ethical considerations, and corporate governance principles Practical examples and real-world «how did this happen» discussions that provide valuable insight for corporate directors and executives, auditors, managers, supervisory personnel and other professionals saddled with anti-fraud responsibilities Expert advice from the author of Corporate Governance and Ethics and coauthor of the forthcoming Wiley textbook, White Collar Crime, Fraud Examination and Financial Forensics Financial Statement Fraud, Second Edition contains recommendations from the SEC Advisory Committee to reduce the complexity of the financial reporting process and improving the quality of financial reports.

A powerful new tool for all forensic accountants, or anyone who analyzes data that may have been altered Benford's Law gives the expected patterns of the digits in the numbers in tabulated data such as town and city populations or Madoff's fictitious portfolio returns. Those digits, in unaltered data, will not occur in equal proportions; there is a large bias towards the lower digits, so much so that nearly one-half of all numbers are expected to start with the digits 1 or 2. These patterns were originally discovered by physicist Frank Benford in the early 1930s, and have since been found to apply to all tabulated data. Mark J. Nigrini has been a pioneer in applying Benford's Law to auditing and forensic accounting, even before his groundbreaking 1999 Journal of Accountancy article introducing this useful tool to the accounting world. In Benford's Law, Nigrini shows the widespread applicability of Benford's Law and its practical uses to detect fraud, errors, and other anomalies. Explores primary, associated, and advanced tests, all described with data sets that include corporate payments data and election data Includes ten fraud detection studies, including vendor fraud, payroll fraud, due diligence when purchasing a business, and tax evasion Covers financial statement fraud, with data from Enron, AIG, and companies that were the target of hedge fund short sales Looks at how to detect Ponzi schemes, including data on Madoff, Waxenberg, and more Examines many other applications, from the Clinton tax returns and the charitable gifts of Lehman Brothers to tax evasion and number invention Benford's Law has 250 figures and uses 50 interesting authentic and fraudulent real-world data sets to explain both theory and practice, and concludes with an agenda and directions for future research. The companion website adds additional information and resources.

Get practical insights on the psychology of white-collar criminals—and how to outsmart them Understand how the psychologies of fraudsters and their victims interact as well as what makes auditors/investigators/regulators let down their guard. Learn about the psychology of fraud victims, including boards of directors and senior management, and what makes them want to believe fraudsters, and therefore making them particularly vulnerable to deception. Just as IT experts gave us computer forensics, we now have a uniquely qualified team immersed in psychology, sociology, psychiatry as well as accounting and auditing, introducing the emerging field of behavioral forensics to address the phenomenon of fraud. Ever wonder what makes a white-collar criminal tick? Why does she or he do what they do? For the first time ever, see the mind of the fraudster laid bare, including their sometimes twisted rationalizations; think like a crook to catch a crook! The A.B.C.'s of Behavioral Forensics takes you there, with expert advice from a diverse but highly specialized authoring team of professionals (three out of the four are Certified Fraud Examiners): a former accounting firm partner who has a PhD in psychology, a former FBI special agent who has been with investigative practices of two of the Big Four firms, an industrial psychiatrist who has worked closely with the C-level suite of large and small companies, and an accounting professor who has interviewed numerous convicted felons. Along with a fascinating exploration of what makes people fall for the common and not-so-common swindles, the book provides a sweeping characterization of the ecology of fraud using The A.B.C.'s of Behavioral Forensics paradigm: the bad Apple (rogue executive), the bad Bushel (groups that collude and behave like gangs), and the bad Crop (representing organization-wide or even societally-sanctioned cultures that are toxic and corrosive). The book will make you take a longer look when hiring new employees and offers a deeper more complex understanding of what happens in organizations and in their people. The A.B.C. model will also help those inside and outside organizations inoculate against fraud and make you reflect on instilling the core values of your organization among your people and create a culture of excellence and integrity that acts as a prophylactic against fraud. Ultimately, you will discover that, used wisely, behavioral methods trump solely economic incentives. With business fraud on the rise globally, The A.B.C.'s of Behavioral Forensics is the must-have book for investigators, auditors, the C-suite and risk management professionals, the boards of directors, regulators, and HR professionals. Examines the psychology of fraud in a practical way, relating it to aspects of fraud prevention, deterrence, detection, and remediation Helps you understand that trust violation—the essence of fraud—is a betrayal of behavioral assumptions about «trusted» people Explains how good people go bad and how otherwise honest people cross the line Underscores the importance of creating a culture of excellence and integrity that inoculates an organization from fraud risk (i.e., honest behavior pays, while dishonesty is frowned upon) Provides key takeaways on what to look for when hiring new employees and in your current employees, as well as creating and maintaining a culture of control consciousness Includes narrative accounts of interviews with convicted white-collar criminals, as well as interpretive insights and analysis of their rationalizations Furnishes ideas about how to enhance professional skepticism, how to resist fraudsters, how to see through their schemes, how to infuse internal controls with the people/behavioral element, and make them more effective in addressing behav

In today's hyper-connected society, understanding the mechanisms of trust is crucial. Issues of trust are critical to solving problems as diverse as corporate responsibility, global warming, and the political system. In this insightful and entertaining book, Schneier weaves together ideas from across the social and biological sciences to explain how society induces trust. He shows the unique role of trust in facilitating and stabilizing human society. He discusses why and how trust has evolved, why it works the way it does, and the ways the information society is changing everything.