Fraud Prevention And Detection
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| Author | : Michael R. Young |
| Publisher | : John Wiley & Sons |
| Total Pages | : 325 |
| Release | : 2013-09-06 |
| Genre | : Business & Economics |
| ISBN | : 1118761634 |
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.
| Author | : Rodney T. Stamler |
| Publisher | : CRC Press |
| Total Pages | : 316 |
| Release | : 2014-03-12 |
| Genre | : Business & Economics |
| ISBN | : 146655455X |
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
| Author | : Sunder Gee |
| Publisher | : John Wiley & Sons |
| Total Pages | : 358 |
| Release | : 2014-12-03 |
| Genre | : Business & Economics |
| ISBN | : 1118779657 |
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.
| Author | : Zabihollah Rezaee |
| Publisher | : John Wiley & Sons |
| Total Pages | : 352 |
| Release | : 2009-09-11 |
| Genre | : Business & Economics |
| ISBN | : 047054323X |
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.
| Author | : Delena D. Spann |
| Publisher | : John Wiley & Sons |
| Total Pages | : 176 |
| Release | : 2014-07-22 |
| Genre | : Business & Economics |
| ISBN | : 1118282736 |
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.
| Author | : Papadakis, Stylianos |
| Publisher | : IGI Global |
| Total Pages | : 270 |
| Release | : 2020-10-02 |
| Genre | : Business & Economics |
| ISBN | : 179984806X |
The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.
| Author | : James R. Youngblood |
| Publisher | : CRC Press |
| Total Pages | : 243 |
| Release | : 2016-08-05 |
| Genre | : Business & Economics |
| ISBN | : 1315352109 |
Business Theft and Fraud: Detection and Prevention offers a broad perspective on business-related theft, providing a detailed discussion of numerous avenues of theft, including internal and external fraud, organized retail crime, mortgage fraud, cyber fraud, and extortion. Combining current research and the author’s extensive experience with loss prevention and security, this professional text identifies industry trouble areas and offers techniques to combat business theft, such as how to identify sales underreporting, track sales by shifts, and educate employees on computer-related fraud. This publication is critical for those involved with loss prevention, security, or criminal justice. Business Theft and Fraud’s accessible, franchise-oriented scope will help many professionals identify and thwart threats in the evolving business world.
| Author | : CK Cho, Barrister LLB (Hons.) London CFE |
| Publisher | : SouthEastern Publushers |
| Total Pages | : 128 |
| Release | : 2012-11-06 |
| Genre | : Business & Economics |
| ISBN | : 193653102X |
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.
| Author | : Bart Baesens |
| Publisher | : John Wiley & Sons |
| Total Pages | : 406 |
| Release | : 2015-08-17 |
| Genre | : Computers |
| ISBN | : 1119133122 |
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.
| Author | : Joseph T. Wells |
| Publisher | : John Wiley & Sons |
| Total Pages | : 436 |
| Release | : 2017-05-01 |
| Genre | : Business & Economics |
| ISBN | : 1119351987 |
Delve into the mind of a fraudster to beat them at their own game Corporate Fraud Handbook details the many forms of fraud to help you identify red flags and prevent fraud before it occurs. Written by the founder and chairman of the Association of Certified Fraud Examiners (ACFE), this book provides indispensable guidance for auditors, examiners, managers, and criminal investigators: from asset misappropriation, to corruption, to financial statement fraud, the most common schemes are dissected to show you where to look and what to look for. This new fifth edition includes the all-new statistics from the ACFE 2016 Report to the Nations on Occupational Fraud and Abuse, providing a current look at the impact of and trends in fraud. Real-world case studies submitted to the ACFE by actual fraud examiners show how different scenarios play out in practice, to help you build an effective anti-fraud program within your own organization. This systematic examination into the mind of a fraudster is backed by practical guidance for before, during, and after fraud has been committed; you'll learn how to stop various schemes in their tracks, where to find evidence, and how to quantify financial losses after the fact. Fraud continues to be a serious problem for businesses and government agencies, and can manifest in myriad ways. This book walks you through detection, prevention, and aftermath to help you shore up your defenses and effectively manage fraud risk. Understand the most common fraud schemes and identify red flags Learn from illustrative case studies submitted by anti-fraud professionals Ensure compliance with Sarbanes-Oxley and other regulations Develop and implement effective anti-fraud measures at multiple levels Fraud can be committed by anyone at any level—employees, managers, owners, and executives—and no organization is immune. Anti-fraud regulations are continually evolving, but the magnitude of fraud's impact has yet to be fully realized. Corporate Fraud Handbook provides exceptional coverage of schemes and effective defense to help you keep your organization secure.
