Includes bibliographical references and index.

Using Analytics to Detect Possible Fraud: Tools and Techniques; Contents; Preface; Acknowledgments; Chapter 1: Overview of the Companies; The Four Companies; Company 1; Company 2; Company 3; Company 4; Summary; Chapter 2: The "Norm" and the "Forensic" Preliminary Analytics: Basics Everyone Should Know; Liquidity Ratios; Working Capital; Working Capital Index; Working Capital Turnover; Current Ratio; Case Studies: Liquidity Ratios; Profitability Ratios; Gross Profit; Gross Profit Margin; Stock Sales; Return on Equity; Case Studies: Profitability Ratios; Company 1; Horizontal Analysis

Company 1Company 2; Company 3; Company 4; Vertical Analysis; Company 1; Company 2; Company 3; Company 4; Summary; Chapter 3: The Importance of Cash Flows and Cash Flow Statements; Cash Flows and Net Income; Company 1; Company 2; Company 3; Company 4; Other Cash Flow Techniques; Company 1; Company 2; Company 3; Company 4; Summary; Chapter 4: The Beneish M-Score Model; Company 1; Company 2; Company 3; Indices of the Primary Government; Indices of the Governmental Funds; Company 4; Summary; Notes; Chapter 5: The Accruals; Dechow-Dichev Accrual Quality; The Four Companies: Dechow-Dichev Model

Sloan's AccrualsThe Four Companies: Sloan's Model; Jones Nondiscretionary Accruals; The Four Companies: Jones Model; Summary; Notes; Chapter 6: Analysis Techniques Using Historical Financial Statements and Other Company Information; The Piotroski F-Score Model; Company 1; Company 2; Company 3; Company 4; Lev-Thiagarajan's 12 Signals; Company 1; Company 2; Company 3; Company 4; Summary; Notes; Chapter 7: Benford's Law, and Yes-Even Statistics; Benford's Law; Company 1; Company 2; Company 3; Company 4; Simple Statistics; Company 1; Company 2; Company 3; Company 4; Summary; Note

Chapter 8: Grading the Four CompaniesCompany 1; Company 2; Company 3; Company 4; Summary; Bibliography; About the Author; Index

BDetailed tools and techniques for developing efficiency and effectiveness in forensic accounting/b iUsing Analytics to Detect Possible Fraud: Tools and Techniques/i is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It alsoincludes case studies and visual techniques providing practical application of the analytical tests discussed.ulliShows how to develop both efficiency and effectiveness in forensic accounting/liliProvides information in such a way that non-practitioners can easily understand/liliWritten in plain language: advanced mathematical skills are not required/liliFeatures actual case studies using analytical tests/li/ul Essential reading for every investor who wants to prevent financial fraud, iUsing Analytics to Detect Possible Fraud/i allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.

John Wiley and Sons Wiley eBooks