Financial Statement Fraud

Author: Gerard M. Zack
Publisher: John Wiley & Sons
ISBN: 1118421477
Format: PDF, Mobi
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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.

Financial Statement Fraud Casebook

Author: Joseph T. Wells
Publisher: John Wiley & Sons
ISBN: 9781118077061
Format: PDF, Mobi
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A comprehensive look at financial statement fraud from the experts who actually investigated them This collection of revealing case studies sheds clear insights into the dark corners of financial statement fraud. Includes cases submitted by fraud examiners across industries and throughout the world Fascinating cases hand-picked and edited by Joseph T. Wells, the founder and Chairman of the world's leading anti-fraud organization ? the Association of Certified Fraud Examiners (ACFE) ? and author of Corporate Fraud Handbook Outlines how each fraud was engineered, how it was investigated and how the perpetrators were brought to justice Providing an insider's look at fraud, Financial Statement Fraud Casebook illuminates the combination of timing, teamwork and vision necessary to understand financial statement fraud and prevent it from happening in the first place.

Forensic Analytics

Author: Mark Nigrini
Publisher: John Wiley & Sons
ISBN: 9781118087633
Format: PDF, Kindle
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Discover how to detect fraud, biases, or errors in your data using Access or Excel With over 300 images, Forensic Analytics reviews and shows how twenty substantive and rigorous tests can be used to detect fraud, errors, estimates, or biases in your data. For each test, the original data is shown with the steps needed to get to the final result. The tests range from high-level data overviews to assess the reasonableness of data, to highly focused tests that give small samples of highly suspicious transactions. These tests are relevant to your organization, whether small or large, for profit, nonprofit, or government-related. Demonstrates how to use Access, Excel, and PowerPoint in a forensic setting Explores use of statistical techniques such as Benford's Law, descriptive statistics, correlation, and time-series analysis to detect fraud and errors Discusses the detection of financial statement fraud using various statistical approaches Explains how to score locations, agents, customers, or employees for fraud risk Shows you how to become the data analytics expert in your organization Forensic Analytics shows how you can use Microsoft Access and Excel as your primary data interrogation tools to find exceptional, irregular, and anomalous records.

Benford s Law

Author: Mark Nigrini
Publisher: John Wiley & Sons
ISBN: 1118286863
Format: PDF, Docs
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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.

A Guide to Forensic Accounting Investigation

Author: Steven L. Skalak
Publisher: John Wiley & Sons
ISBN: 1118017714
Format: PDF, Docs
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Recent catastrophic business failures have caused some to rethink the value of the audit, with many demanding that auditors take more responsibility for fraud detection. This book provides forensic accounting specialists?experts in uncovering fraud?with new coverage on the latest PCAOB Auditing Standards, the Foreign Corrupt Practices Act, options fraud, as well as fraud in China and its implications. Auditors are equipped with the necessary practical aids, case examples, and skills for identifying situations that call for extended fraud detection procedures.

Data Mining for Intelligence Fraud Criminal Detection

Author: Christopher Westphal
Publisher: CRC Press
ISBN: 9781420067248
Format: PDF, ePub, Docs
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In 2004, the Government Accountability Office provided a report detailing approximately 200 government-based data-mining projects. While there is comfort in knowing that there are many effective systems, that comfort isn’t worth much unless we can determine that these systems are being effectively and responsibly employed. Written by one of the most respected consultants in the area of data mining and security, Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies reviews the tangible results produced by these systems and evaluates their effectiveness. While CSI-type shows may depict information sharing and analysis that are accomplished with the push of a button, this sort of proficiency is more fiction than reality. Going beyond a discussion of the various technologies, the author outlines the issues of information sharing and the effective interpretation of results, which are critical to any integrated homeland security effort. Organized into three main sections, the book fully examines and outlines the future of this field with an insider’s perspective and a visionary’s insight. Section 1 provides a fundamental understanding of the types of data that can be used in current systems. It covers approaches to analyzing data and clearly delineates how to connect the dots among different data elements Section 2 provides real-world examples derived from actual operational systems to show how data is used, manipulated, and interpreted in domains involving human smuggling, money laundering, narcotics trafficking, and corporate fraud Section 3 provides an overview of the many information-sharing systems, organizations, and task forces as well as data interchange formats. It also discusses optimal information-sharing and analytical architectures Currently, there is very little published literature that truly defines real-world systems. Although politics and other factors all play into how much one agency is willing to support the sharing of its resources, many now embrace the wisdom of that path. This book will provide those individuals with an understanding of what approaches are currently available and how they can be most effectively employed.

Fraud Analytics Using Descriptive Predictive and Social Network Techniques

Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 1119133122
Format: PDF, ePub, Mobi
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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.

Fraud Data Analytics Methodology

Author: Leonard W. Vona
Publisher: John Wiley & Sons
ISBN: 111918679X
Format: PDF, ePub
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Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan. By combining fraud risk assessment and fraud data analytics, you'll be able to better identify and respond to the risk of fraud in your audits. Proven techniques help you identify signs of fraud hidden deep within company databases, and strategic guidance demonstrates how to build data interrogation search routines into your fraud risk assessment to locate red flags and fraudulent transactions. These methodologies require no advanced software skills, and are easily implemented and integrated into any existing audit program. Professional standards now require all audits to include data analytics, and this informative guide shows you how to leverage this critical tool for recognizing fraud in today's core business systems. Fraud cannot be detected through audit unless the sample contains a fraudulent transaction. This book explores methodologies that allow you to locate transactions that should undergo audit testing. Locate hidden signs of fraud Build a holistic fraud data analytic plan Identify red flags that lead to fraudulent transactions Build efficient data interrogation into your audit plan Incorporating data analytics into your audit program is not about reinventing the wheel. A good auditor must make use of every tool available, and recent advances in analytics have made it accessible to everyone, at any level of IT proficiency. When the old methods are no longer sufficient, new tools are often the boost that brings exceptional results. Fraud Data Analytics Methodology gets you up to speed, with a brand new tool box for fraud detection.

Exposing Fraud

Author: Ian Ross
Publisher: John Wiley & Sons
ISBN: 1118823699
Format: PDF, ePub
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Exposing Fraud: Skills, Process and Practicalities is a working resource book, containing practical advice on how to conduct a fraud investigation, combined with a solid background of essential theories, the law, and related definitions. Highly-regarded anti-fraud expert and trainers Ian Ross and Jose Chacko go beyond the basic techniques of fraud investigation, and show the reader how to apply those techniques effectively in real-life situations. Fraud investigators will be given the tools to investigate criminals who may be running multiple scams at the same time; they will find out how to manage an investigation and gather evidence to achieve the best possible outcome; finally, they will be shown how to take into consideration the cultural and psychological factors which influence fraudsters, as well as those factors which may represent a stumbling block to their own effectiveness. Topics covered include: key fraud definitions key types and variants of fraud, including cyber fraud concepts of fraud behaviour: the psychology of fraud, impulsive fraud, systemic fraud, organised fraud conducting investigations: aims and objectives, essential skills, effective resourcing, ethical conduct, overcoming personal or cultural barriers, and appraising the corporate culture the importance of data analysis in fraud detection techniques in data analysis for fraud detection responses to fraud: dealing with fraud behaviour rather than type, handling intelligence and assessing evidence, dealing with different levels of fraud, from 'one-hit' cases through to complex investigations investigative interviewing: objectives, information capture, overcoming problems such as relevance filtering and confirmation bias, the PEACE model of interviewing, and avoiding false confessions prioritising and presenting the evidence: avoiding 'bad duplication', promoting data integrity, and reporting effectively case outcome and disposal; recovery of losses, civil and/or criminal proceedings managing the business risk of fraud

Identity Theft Handbook

Author: Martin T. Biegelman
Publisher: John Wiley & Sons
ISBN: 9780470444818
Format: PDF, Kindle
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Not a week goes by when identity theft isn t mentioned in the media or that a Congressional outcry isn t heard about this unrelenting crime. The first authoritative book on identity theft, Identity Theft Handbook is written by a career professional who has spent over 25 years investigating and preventing identity theft in both the public and private sectors. Its rich real-world content includes interviews with government and private sector thought leaders. As well, the costs of identity theft, future trends, and prevention guidance is discussed. For investigators, auditors, and managers.