Using Analytics to Detect Possible Fraud: Tools and Techniques (Wiley Corporate F&A) - Hardcover

Mantone, Pamela S.

Hardcover

ISBN 10: 1118585623 ISBN 13: 9781118585627

Publisher: Wiley, 2013

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 tests

Essential 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.

About this title

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.

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.

From the Inside Flap

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.

Edition details

• Publisher: Wiley
• Publication date: 2013
• Language: English
• ISBN 10: 1118585623
• ISBN 13: 9781118585627
• Binding: Hardcover
• Edition number: 1
• Number of pages: 368