USING ANALYTICS TO DETECT POSSIBLE FRAUD
Tools and Techniques
Forensic accounting is the hot new field in accounting, involving essential investigative techniques that uncover accounting fraud and enable practitioners to be effective in covering the needs of the engagement.
Using Analytics to Detect Possible Fraud: Tools and Techniques presents a plain-English guide to forensic accounting, providing analytical tools and techniques that allow professionals analyzing financial statements to zero in on anomalies. Certified Fraud Examiner Pamela Mantone introduces a variety of techniques starting from the very basic, simple analytics to more advanced analytical tools that equip forensic accountants, forensic investigators, and fraud investigators to develop further investigative work.
Featuring case studies throughout from four companies, illustrating the application of tools included in the book, Using Analytics to Detect Possible Fraud demonstrates how to interpret the results of the testing in each case study, with techniques including:
- Liquidity ratios
- Profitability ratios
- Horizontal analysis
- Vertical analysis
- Cash realized from operations
- Analyzing cash realized from operations to net income from operations
- The Beneish M-Score Model
- Dechow-Dichev Accrual Quality
- Sloan’s Accruals
- Jones Non-discretionary Accruals
- The Piotroski F-Score Model
- Lev-Thiagarajan’s 12 Signals
- Benford’s Law
- Z-Score Analysis
- Correlation
- Regression Analysis
Essential reading for every financial investigator, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting.
From the Back Cover
USING ANALYTICS TO DETECT POSSIBLE FRAUD
Tools and Techniques
Forensic accounting is the hot new field in accounting, involving essential investigative techniques that uncover accounting fraud and enable practitioners to be effective in covering the needs of the engagement.
Using Analytics to Detect Possible Fraud: Tools and Techniques presents a plain-English guide to forensic accounting, providing analytical tools and techniques that allow professionals analyzing financial statements to zero in on anomalies. Certified Fraud Examiner Pamela Mantone introduces a variety of techniques starting from the very basic, simple analytics to more advanced analytical tools that equip forensic accountants, forensic investigators, and fraud investigators to develop further investigative work.
Featuring case studies throughout from four companies, illustrating the application of tools included in the book, Using Analytics to Detect Possible Fraud demonstrates how to interpret the results of the testing in each case study, with techniques including:
- Liquidity ratios
- Profitability ratios
- Horizontal analysis
- Vertical analysis
- Cash realized from operations
- Analyzing cash realized from operations to net income from operations
- The Beneish M-Score Model
- Dechow-Dichev Accrual Quality
- Sloan’s Accruals
- Jones Non-discretionary Accruals
- The Piotroski F-Score Model
- Lev-Thiagarajan’s 12 Signals
- Benford’s Law
- Z-Score Analysis
- Correlation
- Regression Analysis
Essential reading for every financial investigator, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting.
About the Author
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.
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