Financial Statement Fraud

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

Benford s Law

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

Forensic Analytics

Author: Mark Nigrini
Publisher: John Wiley & Sons
ISBN: 9781118087633
Format: PDF, ePub
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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.

Enterprise Compliance Risk Management

Author: Saloni Ramakrishna
Publisher: John Wiley & Sons
ISBN: 1118550315
Format: PDF, ePub, Mobi
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The tools and information that build effective compliance programs Enterprise Compliance Risk Management: An Essential Toolkit for Banks and Financial Services is a comprehensive narrative on managing compliance and compliance risk that enables value creation for financial services firms. Compliance risk management, a young, evolving yet intricate discipline, is occupying center stage owing to the interplay between the ever increasing complexity of financial services and the environmental effort to rein it in. The book examines the various facets of this layered and nuanced subject. Enterprise Compliance Risk Management elevates the context of compliance from its current reactive stance to how a proactive strategy can create a clear differentiator in a largely undifferentiated market and become a powerful competitive weapon for organizations. It presents a strong case as to why it makes immense business sense to weave active compliance into business model and strategy through an objective view of the cost benefit analysis. Written from a real-world perspective, the book moves the conversation from mere evangelizing to the operationalizing a positive and active compliance management program in financial services. The book is relevant to the different stakeholders of the compliance universe - financial services firms, regulators, industry bodies, consultants, customers and compliance professionals owing to its coverage of the varied aspects of compliance. Enterprise Compliance Risk Management includes a direct examination of compliance risk, including identification, measurement, mitigation, monitoring, remediation, and regulatory dialogue. With unique hands-on tools including processes, templates, checklists, models, formats and scorecards, the book provides the essential toolkit required by the practitioners to jumpstart their compliance initiatives. Financial services professionals seeking a handle on this vital and growing discipline can find the information they need in Enterprise Compliance Risk Management. Enterprise Compliance Risk Management: An Essential Toolkit for Banks and Financial Services is a comprehensive narrative on managing compliance and compliance risk that enables value creation for financial services firms. Compliance risk management, a young, evolving yet intricate discipline, is occupying center stage owing to the interplay between the ever increasing complexity of financial services and the environmental effort to rein it in. The book examines the various facets of this layered and nuanced subject. Enterprise Compliance Risk Management elevates the context of compliance from its current reactive stance to how a proactive strategy can create a clear differentiator in a largely undifferentiated market and become a powerful competitive weapon for organizations. It presents a strong case as to why it makes immense business sense to weave active compliance into business model and strategy through an objective view of the cost benefit analysis. Written from a real-world perspective, the book moves the conversation from mere evangelizing to the operationalizing a positive and active compliance management program in financial services. The book is relevant to the different stakeholders of the compliance universe - financial services firms, regulators, industry bodies, consultants, customers and compliance professionals owing to its coverage of the varied aspects of compliance. Enterprise Compliance Risk Management includes a direct examination of compliance risk, including identification, measurement, mitigation, monitoring, remediation, and regulatory dialogue. With unique hands-on tools including processes, templates, checklists, models, formats and scorecards, the book provides the essential toolkit required by the practitioners to jumpstart their compliance initiatives. Financial services professionals seeking a handle on this vital and growing discipline can find the information they need in Enterprise Compliance Risk Management.

A Guide to Forensic Accounting Investigation

Author: Steven L. Skalak
Publisher: John Wiley & Sons
ISBN: 1118017714
Format: PDF, Kindle
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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.

Corporate Fraud

Author: John D. O'Gara
Publisher: John Wiley & Sons
ISBN: 0471656178
Format: PDF
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Real-world help for companies combating fraud – from major management fraud to fraudulent financial reporting From the author’s more than thirty years of corporate auditing experience, Corporate Fraud features scores of useful case studies that illustrate the principles of numerous types of fraud and how to avoid them in your business. A must-have for all auditors, controllers, CFOs, and business managers, Corporate Fraud offers broad coverage of: The most common and damaging types of fraud in today’s business environment The many facets of fraud, including management fraud, corporate governance, and top-level forensics issues, as well as financial statement fraud and the interconnected nature of each Corruption: bribery, including contracting, subcontracting, and leasing; and outsourcing Misappropriation: vendor billings, skimming, and diverted receipts Fraud for the organization: money laundering, price fixing, and fraud in the international arena Order your copy today!

Fraud Data Analytics Methodology

Author: Leonard W. Vona
Publisher: John Wiley & Sons
ISBN: 111918679X
Format: PDF, ePub, Mobi
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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, Mobi
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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

Executive Roadmap to Fraud Prevention and Internal Control

Author: Martin T. Biegelman
Publisher: John Wiley & Sons
ISBN: 1118235517
Format: PDF, ePub, Docs
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Now in a Second Edition, this practical book helps corporate executives and managers how to set up a comprehensive and effective fraud prevention program in any organization. Completely revised with new cases and examples, the book also discusses new global issues around the Foreign Corrupt Practices Act (FCPA). Additionally, it covers best practices for establishing a unit to protect the financial integrity of a business, among other subjects. The book has many checklists and real-world examples to aid in implementation and an instructor's URL including a test bank to aid in course adoptions.

Fraud Analytics Using Descriptive Predictive and Social Network Techniques

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