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.

Most fraud cases could have been prevented or detected earlier if early warning signs had been taken seriously. This volume enables officers and directors to protect themselves and their entities against fraud by effectively detecting, analyzing, and acting before any damage can be done. Based on an empirically tested strategy, the book teaches readers how to find Red Flag indicators of fraud or suspicious transactions in financial statements, budgets, and contracts and know how to ensure that, once a Red Flag has been identified, appropriate action is taken.

Black money and financial crime are emerging global phenomena. During the last few decades, corrupt financial practices were increasingly being monitored in many countries around the globe. Among a large number of problems is a lack of general awareness about all these issues among various stakeholders including researchers and practitioners. The Handbook of Research on Theory and Practice of Financial Crimes is a critical scholarly research publication that provides comprehensive research on all aspects of black money and financial crime in individual, organizational, and societal experiences. The book further examines the implications of white-collar crime and practices to enhance forensic audits on financial fraud and the effects on tax enforcement. Featuring a wide range of topics such as ethical leadership, cybercrime, and blockchain, this book is ideal for policymakers, academicians, business professionals, managers, IT specialists, researchers, and students.

Biographical Sketches of Alexander Perov

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.

As fraud and corruption continue to spread globally, illicit and illegitimate finance is one of many areas of concern. To help stop the spread of corruption across fields and industries, further study on the best practices and strategies to combat illicit and illegitimate finance is required. Concepts and Cases of Illicit Finance provides understanding and lessons learned regarding all aspects of illicit and illegitimate finance. Covering key topics such as financial crimes, financial intelligence, and hacking fraud, this premier reference work is ideal for business owners, managers, policymakers, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

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

Forensic Audit in Financial Fraud Detection - First Edition Forensic Audit in Financial Fraud Detection- First Edition is a resource guide for students and professionals who want to learn more about the field of forensic audit and fraud Detection. This book serves as a foundational steppingstone into the world of fraud investigation. From understanding the core principles of Fraud Investigation to delving into the legal aspects and presenting real-world case studies, this guide equips you with the essential knowledge and methods of evidence collection. This book is also helpful for those who are appearing in the interview for forensic audit or related positions, as it can help them show their understanding and skills in this field. A Concise and Comprehensive Introduction: Offering a concise yet comprehensive introduction to the field of forensic audit in fraud detection, this book covers a spectrum of vital topics: 1. Overview of Financial Frauds and Scams 2. Forensic Audit in Financial Fraud Detection 3. Forensic Audit: Laws and Regulations 4. Forensic Audit and Indian Evidence Law 5. Audit and Investigation 6. Techniques and Methodologies 7. Anti-fraud Data Analyst Test 8. Case Studies and Lessons Learned 9. Challenges in Forensic Audit of Financial Fraud 10. Technological Advancements and Future Directions 11. Best Practices and Recommendations A Valuable Resource for All: Whether you're a seasoned forensic accountant, a budding fraud examiner, a legal professional, or a student eager to explore the world of financial investigation, this book is your indispensable guide. Packed with insights, and contemporary perspectives, it empowers you to navigate the intricate realm of forensic accounting and fraud investigation with confidence. Unlock the secrets of forensic audits and embark on a journey to unravel financial mysteries and safeguard against fraud. Get ready to make informed decisions and protect the integrity of financial systems with "Forensic Audit in Financial Fraud Detection - First Edition."

This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).

Corporate Fraud Exposed uncovers the motivations and drivers of fraud including agency theory, executive compensation, and organizational culture. It delves into the consequences of fraud for various firm stakeholders, and its spillover effects on other corporations, the political environment, and financial market participants.