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.

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.

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.

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.

"Small business owners and managers cannot afford losses due to fraud, yet many of these types of businesses are the most common victims. The ACFE's Small Business Fraud Prevention Manual provides information on the most common internal and external fraud schemes committed by customers, employees and vendors against small businesses as well as tips on how to prevent these schemes from happening to you." -- Back cover.

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.