Description

Book Synopsis
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 accounting
  • Provides information in such a way that non-practitioners can easily understand
  • Written in plain language: advanced mathematical skills are not required
  • Features actual case studies using analytical

    Table of Contents

    Preface xi

    Acknowledgments xv

    Chapter 1: Overview of the Companies 1

    The Four Companies 2

    Company 1 2

    Company 2 5

    Company 3 8

    Company 4 10

    Summary 16

    Chapter 2: The “Norm” and the “Forensic” Preliminary Analytics: Basics Everyone Should Know 19

    Liquidity Ratios 20

    Working Capital 21

    Working Capital Index 21

    Working Capital Turnover 22

    Current Ratio 22

    Case Studies: Liquidity Ratios 22

    Profitability Ratios 25

    Gross Profit 26

    Gross Profit Margin 26

    Stock Sales 26

    Return on Equity 27

    Case Studies: Profitability Ratios 27

    Company 1 31

    Horizontal Analysis 36

    Company 1 36

    Company 2 43

    Company 3 50

    Company 4 61

    Vertical Analysis 66

    Company 1 66

    Company 2 70

    Company 3 73

    Company 4 79

    Summary 79

    Chapter 3: The Importance of Cash Flows and Cash Flow Statements 83

    Cash Flows and Net Income 85

    Company 1 87

    Company 2 89

    Company 3 92

    Company 4 97

    Other Cash Flow Techniques 100

    Company 1 101

    Company 2 104

    Company 3 107

    Company 4 114

    Summary 117

    Chapter 4: The Beneish M-Score Model 119

    Company 1 124

    Company 2 133

    Company 3 143

    Indices of the Primary Government 145

    Indices of the Governmental Funds 151

    Company 4 158

    Summary 166

    Notes 170

    Chapter 5: The Accruals 171

    Dechow–Dichev Accrual Quality 173

    The Four Companies: Dechow–Dichev Model 175

    Sloan’s Accruals 184

    The Four Companies: Sloan’s Model 185

    Jones Nondiscretionary Accruals 191

    The Four Companies: Jones Model 192

    Summary 196

    Notes 198

    Chapter 6: Analysis Techniques Using Historical Financial Statements and Other Company Information 199

    The Piotroski F-Score Model 200

    Company 1 203

    Company 2 205

    Company 3 207

    Company 4 212

    Lev–Thiagarajan’s 12 Signals 215

    Company 1 220

    Company 2 222

    Company 3 225

    Company 4 230

    Summary 233

    Notes 235

    Chapter 7: Benford's Law, and Yes—Even Statistics 237

    Benford’s Law 239

    Company 1 243

    Company 2 249

    Company 3 255

    Company 4 267

    Simple Statistics 272

    Company 1 277

    Company 2 281

    Company 3 284

    Company 4 289

    Summary 290

    Note 292

    Chapter 8: Grading the Four Companies 293

    Company 1 294

    Company 2 302

    Company 3 310

    Company 4 320

    Summary 326

    Bibliography 329

    About the Author 331

    Index 333

Using Analytics to Detect Possible Fraud

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    £67.50

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    RRP £75.00 – you save £7.50 (10%)

    Order before 4pm today for delivery by Wed 1 Jul 2026.

    A Hardback by Pamela S. Mantone

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Using Analytics to Detect Possible Fraud by Pamela S. Mantone

      Publisher: John Wiley & Sons Inc
      Publication Date: 27/09/2013
      ISBN13: 9781118585627, 978-1118585627
      ISBN10: 1118585623

      Description

      Book Synopsis
      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 accounting
      • Provides information in such a way that non-practitioners can easily understand
      • Written in plain language: advanced mathematical skills are not required
      • Features actual case studies using analytical

        Table of Contents

        Preface xi

        Acknowledgments xv

        Chapter 1: Overview of the Companies 1

        The Four Companies 2

        Company 1 2

        Company 2 5

        Company 3 8

        Company 4 10

        Summary 16

        Chapter 2: The “Norm” and the “Forensic” Preliminary Analytics: Basics Everyone Should Know 19

        Liquidity Ratios 20

        Working Capital 21

        Working Capital Index 21

        Working Capital Turnover 22

        Current Ratio 22

        Case Studies: Liquidity Ratios 22

        Profitability Ratios 25

        Gross Profit 26

        Gross Profit Margin 26

        Stock Sales 26

        Return on Equity 27

        Case Studies: Profitability Ratios 27

        Company 1 31

        Horizontal Analysis 36

        Company 1 36

        Company 2 43

        Company 3 50

        Company 4 61

        Vertical Analysis 66

        Company 1 66

        Company 2 70

        Company 3 73

        Company 4 79

        Summary 79

        Chapter 3: The Importance of Cash Flows and Cash Flow Statements 83

        Cash Flows and Net Income 85

        Company 1 87

        Company 2 89

        Company 3 92

        Company 4 97

        Other Cash Flow Techniques 100

        Company 1 101

        Company 2 104

        Company 3 107

        Company 4 114

        Summary 117

        Chapter 4: The Beneish M-Score Model 119

        Company 1 124

        Company 2 133

        Company 3 143

        Indices of the Primary Government 145

        Indices of the Governmental Funds 151

        Company 4 158

        Summary 166

        Notes 170

        Chapter 5: The Accruals 171

        Dechow–Dichev Accrual Quality 173

        The Four Companies: Dechow–Dichev Model 175

        Sloan’s Accruals 184

        The Four Companies: Sloan’s Model 185

        Jones Nondiscretionary Accruals 191

        The Four Companies: Jones Model 192

        Summary 196

        Notes 198

        Chapter 6: Analysis Techniques Using Historical Financial Statements and Other Company Information 199

        The Piotroski F-Score Model 200

        Company 1 203

        Company 2 205

        Company 3 207

        Company 4 212

        Lev–Thiagarajan’s 12 Signals 215

        Company 1 220

        Company 2 222

        Company 3 225

        Company 4 230

        Summary 233

        Notes 235

        Chapter 7: Benford's Law, and Yes—Even Statistics 237

        Benford’s Law 239

        Company 1 243

        Company 2 249

        Company 3 255

        Company 4 267

        Simple Statistics 272

        Company 1 277

        Company 2 281

        Company 3 284

        Company 4 289

        Summary 290

        Note 292

        Chapter 8: Grading the Four Companies 293

        Company 1 294

        Company 2 302

        Company 3 310

        Company 4 320

        Summary 326

        Bibliography 329

        About the Author 331

        Index 333

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