Using Analytics to Detect Possible Fraud

Tools and Techniques

Inbunden, Engelska, 2013

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Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting Using Analytics to Detect Possible Fraud: Tools and Techniques 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 also includes case studies and visual techniques providing practical application of the analytical tests discussed. Shows how to develop both efficiency and effectiveness in forensic accountingProvides information in such a way that non-practitioners can easily understandWritten in plain language: advanced mathematical skills are not requiredFeatures actual case studies using analytical testsEssential reading for every investor who wants to prevent financial fraud, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.

Produktinformation

Utgivningsdatum2013-09-27
Mått160 x 229 x 31 mm
Vikt590 g
FormatInbunden
SpråkEngelska
SerieWiley Corporate F&A
Antal sidor368
FörlagJohn Wiley & Sons Inc
ISBN9781118585627

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PAMELA S. MANTONE, CPA, CFF, CITP, CGMA, CFE, FCPA, is a Senior Assurance Manager at Joseph Decosimo & Company, PLLC, practicing in the areas of audit and attestation with a focus on forensic accounting, fraud examination and audits of financial institutions, nonprofit organizations, publicly traded companies and governments. She provides forensic accounting services, with an emphasis on embezzlement and fraudulent financial information for multiple organizations, as well as consulting services regarding the implementation of fraud prevention and fraud protection internal control systems.

Preface xiAcknowledgments xvChapter 1: Overview of the Companies 1The Four Companies 2Company 1 2Company 2 5Company 3 8Company 4 10Summary 16Chapter 2: The “Norm” and the “Forensic” Preliminary Analytics: Basics Everyone Should Know 19Liquidity Ratios 20Working Capital 21Working Capital Index 21Working Capital Turnover 22Current Ratio 22Case Studies: Liquidity Ratios 22Profitability Ratios 25Gross Profit 26Gross Profit Margin 26Stock Sales 26Return on Equity 27Case Studies: Profitability Ratios 27Company 1 31Horizontal Analysis 36Company 1 36Company 2 43Company 3 50Company 4 61Vertical Analysis 66Company 1 66Company 2 70Company 3 73Company 4 79Summary 79Chapter 3: The Importance of Cash Flows and Cash Flow Statements 83Cash Flows and Net Income 85Company 1 87Company 2 89Company 3 92Company 4 97Other Cash Flow Techniques 100Company 1 101Company 2 104Company 3 107Company 4 114Summary 117Chapter 4: The Beneish M-Score Model 119Company 1 124Company 2 133Company 3 143Indices of the Primary Government 145Indices of the Governmental Funds 151Company 4 158Summary 166Notes 170Chapter 5: The Accruals 171Dechow–Dichev Accrual Quality 173The Four Companies: Dechow–Dichev Model 175Sloan’s Accruals 184The Four Companies: Sloan’s Model 185Jones Nondiscretionary Accruals 191The Four Companies: Jones Model 192Summary 196Notes 198Chapter 6: Analysis Techniques Using Historical Financial Statements and Other Company Information 199The Piotroski F-Score Model 200Company 1 203Company 2 205Company 3 207Company 4 212Lev–Thiagarajan’s 12 Signals 215Company 1 220Company 2 222Company 3 225Company 4 230Summary 233Notes 235Chapter 7: Benford's Law, and Yes—Even Statistics 237Benford’s Law 239Company 1 243Company 2 249Company 3 255Company 4 267Simple Statistics 272Company 1 277Company 2 281Company 3 284Company 4 289Summary 290Note 292Chapter 8: Grading the Four Companies 293Company 1 294Company 2 302Company 3 310Company 4 320Summary 326Bibliography 329About the Author 331Index 333