Practical Approach to Prevention and Detection of Fraud
Practical Approach to Prevention and Detection of Fraud

Author: CK Cho, Barrister LLB (Hons.) London CFE

Publisher: SouthEastern Publushers

Published: 2012-11-06

Total Pages: 128

ISBN-13: 193653102X

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This Guide Book was written to help you to: - Consider various international best practices for internal control and fraud risk management; - Outline the legal elements of fraud offences such as Theft, Deception, Fraud and Conspiracy to Defraud; - Explain the law, evidence and procedures relating to the prevention, detection and investigation of fraud; - Consider the practical and legal issues in conducting an independent internal investigation into fraudulent activities at the workplace; - Apply basic investigative skills such as interview techniques; - Set out the essential steps of a fraud investigation, including collection and preservation of evidence. The Guide is prepared by respected professionals with extensive experience practicing and teaching fraud investigation and internal control. While the Guide is based on current Hong Kong law, it can be a useful reference book for anyone with a professional interest in fraud prevention and detection.

Computer Aided Fraud Prevention and Detection
Computer Aided Fraud Prevention and Detection

Author: David Coderre

Publisher: John Wiley & Sons

Published: 2009-03-17

Total Pages: 374

ISBN-13: 0470451610

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Praise for Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide "A wonderful desktop reference for anyone trying to move from traditional auditing to integrated auditing. The numerous case studies make it easy to understand and provide a how-to for those?seeking to implement automated tools including continuous assurance. Whether you are just starting down the path or well on your way, it is a valuable resource." -Kate M. Head, CPA, CFE, CISA Associate Director, Audit and Compliance University of South Florida "I have been fortunate enough to learn from Dave's work over the last fifteen years, and this publication is no exception. Using his twenty-plus years of experience, Dave walks through every aspect of detecting fraud with a computer from the genesis of the act to the mining of data for its traces and its ultimate detection. A complete text that first explains how one prevents and detects fraud regardless of technology and then shows how by automating such procedures, the examiners' powers become superhuman." -Richard B. Lanza, President, Cash Recovery Partners, LLC "Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide helps management and auditors answer T. S. Eliot's timeless question, 'Where is the knowledge lost in information?' Data analysis provides a means to mine the knowledge hidden in our information. Dave Coderre has long been a leader in educating auditors and others about Computer Assisted Audit Techniques. The book combines practical approaches with unique data analysis case examples that compel the readers to try the techniques themselves." -Courtenay Thompson Jr. Consultant, Courtenay Thompson & Associates

Preventing and Detecting Employee Theft and Embezzlement
Preventing and Detecting Employee Theft and Embezzlement

Author: Stephen Pedneault

Publisher: John Wiley & Sons

Published: 2010-06-28

Total Pages: 336

ISBN-13: 0470545712

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"If you don't think that some employees have figured out ingenious ways to steal from businesses, read this book. The real-life examples will change your mind." Joseph T. Wells, CFE, CPA, founder and Chairman, Association of Certified Fraud Examiners "An easy-to-read, but comprehensive step-by-step approach that covers every potential area for employee fraud and embezzlement. Great checklists at the end of each chapter show what steps to put into place for controls and protection. Includes real-life examples that really 'bring the story home.' " Jean L. Conover, CPA, past CEO/CFO, Jefferson Radiology PC "This book is a must-read for seasoned entrepreneurs as well as those considering entering their own business venture. While developed for small business, the risk detection and prevention methodologies presented by Mr. Pedneault are universal to all businesses. The concise checklists provide ready guidance for establishing a complete system of controls." Denise H. Armstrong, CPA, Chief Financial Officer, Sea Research Foundation, Inc. d/b/a Mystic Aquarium and Institute for Exploration "This book is a must for every individual owning their own business. Mr. Pedneault clearly articulates the fraud risks that occur in each business system. In the book, he offers practical advice for internal controls and illustrates the risks with real-life examples." Leonard W. Vona, President, Fraud Auditing, Inc.

Financial Statement Fraud
Financial Statement Fraud

Author: Zabihollah Rezaee

Publisher: John Wiley & Sons

Published: 2009-09-11

Total Pages: 352

ISBN-13: 047054323X

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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.

Financial Fraud Prevention and Detection
Financial Fraud Prevention and Detection

Author: Michael R. Young

Publisher: John Wiley & Sons

Published: 2013-09-06

Total Pages: 325

ISBN-13: 1118761634

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Step-by-step guidance for board members and executives on preventing and detecting accounting fraud In the wake of highly publicized allegations of accounting irregularities and fraudulent financial reporting that are shaking up today's corporate community, Financial Fraud Prevention and Detection provides a step-by-step guide to how these crises can envelop a company and how to prevent them from happening in the first place. It is written for almost everyone involved: outside directors, audit committee members, senior executives, CFOs, CPAs, in-house lawyers, and outside law firms. Provides a blueprint for Fraud Prevention and Detection for corporate executives Presents step-by-step guidance to corporate boards and C-suite executives on managing the threat of accounting fraud Prepares directors and executives for the possibility of accounting irregularities Answers the question of how accounting fraud starts—and grows With solid strategies for prevention of accounting fraud as well as a process to follow when fraud has been discovered, Financial Fraud Prevention and Detection vividly explores the corporate environment that causes fraud, how it spreads, the kind of crises it can create for a company, and the best ways to deal with it.

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques

Author: Bart Baesens

Publisher: John Wiley & Sons

Published: 2015-08-17

Total Pages: 406

ISBN-13: 1119133122

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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 Prevention and Detection
Fraud Prevention and Detection

Author: Rodney T. Stamler

Publisher: CRC Press

Published: 2014-03-12

Total Pages: 316

ISBN-13: 146655455X

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Lessons can be learned from major fraud cases. Whether the victim is a company, public agency, nonprofit, foundation, or charity, there is a high likelihood that many of these frauds could have been prevented or detected sooner if early Red Flag warning signs had been identified and acted upon. Fraud Prevention and Detection: Warning Signs and the

Fair Value Accounting Fraud
Fair Value Accounting Fraud

Author: Gerard M. Zack

Publisher: John Wiley & Sons

Published: 2009-07-23

Total Pages: 301

ISBN-13: 0470527374

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Essential guidance on the new fair value rules for accounting managers, auditors, and fraud investigators Fair Value accounting is emerging as the next prime opportunity for financial statement fraud. Explaining the many complex applications of fair value accounting in the preparation of financial statements, Fair Value Accounting Fraud offers timely guidance on an up-and-coming issue as U.S. and international accounting rules pertaining to the use of fair value accounting continue to change. You'll find discussion of U.S. GAAP and IFRS rules on fair value accounting issues, highlighting the areas most vulnerable to fraud Explanations of 75 categories of fair value accounting fraud schemes Fraud risk checklist that you can put to immediate use Practical detection techniques useful for auditors, investigators and others who rely on financial statements Expert advice from Gerard Zack, CFE, CPA, author of Fraud and Abuse in Nonprofit Organizations: A Guide to Prevention and Detection Comparing US accounting standards to International Financial Reporting Standards-thereby making this book useful worldwide- Fair Value Accounting Fraud helps you understand the new rules and develop new auditing and investigative techniques to enable you to detect potential fraud.

Fraud and Fraud Detection, + Website
Fraud and Fraud Detection, + Website

Author: Sunder Gee

Publisher: John Wiley & Sons

Published: 2014-12-03

Total Pages: 358

ISBN-13: 1118779657

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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.