Fraud 101. Techniques and Strategies for Understanding Fraud

Unique insights into the nature of fraud and how to expose it It's not enough to wait for a tip to expose corporate fraud. Fraud 101, Second Edition provides step-by-step guidance on how to perform detection procedures for every major type of fraud. Its new and detailed case studies reveal how easy it can be for a perpetrator to commit a fraud and how difficult it can be to prosecute. This new edition also offers expanded coverage of financial statement fraud, fraud-specific internal control, and Sarbanes-Oxley.

Valuable guidance for staying one step ahead of financial statement fraud Financial statement fraud is one of the most costly types of fraud and can have a direct financial impact on businesses and individuals, as well as harm investor confidence in the markets. While publications exist on financial statement fraud and roles and responsibilities within companies, there is a need for a practical guide on the different schemes that are used and detection guidance for these schemes. Financial Statement Fraud: Strategies for Detection and Investigation fills that need. Describes every major and emerging type of financial statement fraud, using real-life cases to illustrate the schemes Explains the underlying accounting principles, citing both U.S. GAAP and IFRS that are violated when fraud is perpetrated Provides numerous ratios, red flags, and other techniques useful in detecting financial statement fraud schemes Accompanying website provides full-text copies of documents filed in connection with the cases that are cited as examples in the book, allowing the reader to explore details of each case further Straightforward and insightful, Financial Statement Fraud provides comprehensive coverage on the different ways financial statement fraud is perpetrated, including those that capitalize on the most recent accounting standards developments, such as fair value issues.

Proven guidance for expertly using analytics in fraud examinations, financial analysis, auditing and fraud prevention Fraud Analytics thoroughly reveals the elements of analysis that are used in today's fraud examinations, fraud investigations, and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how to optimally use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores the two major data analytics providers: ACL and IDEA. Looks at elements of analysis used in today's fraud examinations Reveals how to use data mining (fraud analytic) techniques to detect fraud Examines ACL and IDEA as indispensable tools for fraud detection Includes an abundance of sample cases and examples Written by Delena D Spann, Board of Regent (Emeritus) for the Association of Certified Fraud Examiners (ACFE), who currently serves as Advisory Board Member of the Association of Certified Fraud Examiners, Board Member of the Education Task Force of the Association of Certified Anti-Money Laundering Specialists ASIS International (Economic Crime Council) and Advisory Board Member of the Robert Morris University (School of Business), Fraud Analytics equips you with authoritative fraud analysis techniques you can put to use right away.

Detect fraud faster—no matter how well hidden—with IDEA automation Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book. Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methods Identify anomalies and risk areas using computerized techniques Develop a step-by-step plan for detecting fraud through data analytics Utilize IDEA software to automate detection and identification procedures The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.

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.

A savvy examination of where people and value meet, creating the opportunity for fraud An essential reference for all business professionals, Detecting Fraud in Organizations: Techniques, Tools, and Resources explains the process of how people commit fraud, as well as how to prevent and stop fraud from occurring in your organization. Organized by business processes which succinctly describe how fraud manifests itself on a daily basis, the authors explain ways in which everyone can help guard against fraud by familiarizing themselves with its building blocks and methods used to perpetrate and conceal it. Filled with situational examples the book is accompanied by a website featuring fraud simulations, business process maps, and other useful tools for combating fraud. Focuses on the people who perpetrate fraud and those who are tasked with preventing and detecting it Uniquely organized by business processes for more relevance and easier understanding by those people working within organizations Shows how subtle factors play a large role in identifying and ferreting out fraud in addition to the traditional knowledge of fraud schemes giving people and organizations the edge they need to be successful in prevention and deterrence Companion website includes additional fraud simulations, business process maps, and useful tools The price of fraud can be devastating to your business. Detecting Fraud in Organizations: Techniques, Tools, and Resources equips you and others in your organization with essential information and tools necessary to proactively catch fraud, reduce losses, improve efficiencies and develop actionable controls.

Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes case studies and visual techniques providing practical application of the analytical tests discussed. Shows how to develop both efficiency and effectiveness in forensic accounting Provides information in such a way that non-practitioners can easily understand Written in plain language: advanced mathematical skills are not required Features actual case studies using analytical tests Essential reading for every investor who wants to prevent financial fraud, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.

Fully revised, the proven primer on forensic accounting with all-new cases A must-have reference for every business professional, Forensic Accounting and Fraud Investigation for Non-Experts, Third Edition is a necessary tool for those interested in understanding how financial fraud occurs and what to do when you find or suspect it within your organization. With comprehensive coverage, it provides insightful advice on where an organization is most susceptible to fraud. Updated with new cases and new material on technology tools in forensic accounting Covers the core accounting, investigative, and legal aspects of forensic accounting for professionals new to the field Covers investigative and legal issues along with accounting schemes Written by a team of recognized experts in the field of forensic accounting, Forensic Accounting and Fraud Investigation for Non-Experts, Third Edition is essential reading for accountants and investigators requiring the most up-to-date methods in dealing with financial fraud within their organizations.

Get the latest tools in fraud auditing and get rid of fraud in your organization With the responsibility of detecting and preventing fraud placed directly on the accounting profession, you are responsible for recognizing fraud and learning the tools and strategies necessary to stop it. Fraud Auditing and Forensic Accounting, Third Edition shows you how to develop an investigative eye toward both internal and external fraud and provides crucial information on how to deal with it when discovered. This authoritative, timely book equips auditors, investigators, corporate attorneys, and accountants to identify the signs of financial fraud and successfully investigate it. This new edition will enable you to: Recognize the characteristics of organizations in which fraud is likely to occur Detect and deter accounting fraud, using the most recently developed techniques Conduct an efficient, systematic fraud investigation Use the latest methods for documenting fraud and preparing evidence-and much more PRAISE FOR Fraud Auditing and Forensic Accounting, Third Edition «An excellent primer for developing and implementing an antifraud program as part of a SOX 404, fraud prevention and detection process. A clear and concise history of fraud and the methods needed to deter it now and for the future. It is like having a professor on call and in your office when you need one. Well written with easy-to-understand definitions and examples, this is a must-read for anyone who is putting a financial investigation unit in place.» —George Mullins, CFE, HealthSouthInternal Audit Manager and Project Manager, Antifraud Program «The book is an excellent anti-fraud resource for those professionals charged with the responsibility of detecting, investigating, and preventing fraud. I also highly recommend it to educators as a prospective textbook for a semester-long course in macro fraud examination.» —Thomas Buckhoff, PhD, CPA, CFE, Associate Professor of Forensic Accounting, Georgia Southern University, and Principal, FraudWise, LLC «This book, better than any other in print, hits the subject areas I cover in my fraud examination and forensic accounting class. The authors have done a great job of presenting complicated terms and techniques in a manner for students to understand. I particularly like the presentation of a fraud's endgame, namely the court case that recovers assets and puts these creeps in jail.» —Douglas E. Ziegenfuss, Professor and Chair, Department of Accounting,Old Dominion University

According to private and public estimates, approximately $24 million is lost per hour to healthcare waste, fraud, and abuse. A must-have reference for auditors, fraud investigators, and healthcare managers, Healthcare Fraud: Auditing and Detection Guide provides tips and techniques to help you spot—and prevent—the «red flags» of fraudulent activity within your organization. Eminently readable, it is your “go-to” resource, equipping you with the necessary skills to look for and deal with potential fraudulent situations.