Using Analytics to Detect Possible Fraud: Tools and Techniques
By: Pamela S. Mantone, CFE, CPA
This book’s author is a CFE
Description
"Using Analytics to Detect Possible Fraud: Tools and Techniques" is a practical overview of the first stage of fraud examination, providing a common source of analytical techniques used for both efficiency and effectiveness in fraud examinations. 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.
This book explores:
- Using various financial ratios and other analytical tests to identify potential anomalies in financial statement data
- Applying the Beneish M-Score Model, Pitoroski F-Score Model, Lev-Thiagarajan’s 12 Signals, and Benford’s Law to find potential financial statement manipulation
- Identifying unusual variations and inconsistencies in financial statements by using three different perspectives in analyzing accruals
Product Details
| Label | Value |
|---|---|
| ISBN | 978-1-118-58562-7 |
| Publisher | John Wiley & Sons Publishing |
| Published | 2013 |
| Pages | 340 |
| Format | Hardcover |
Table of Contents
| Chapter 1 | Overview of the Companies |
|---|---|
| Chapter 2 | The “Norm” and the “Forensic” Preliminary Analytics: Basics Everyone Should Know |
| Chapter 3 | The Importance of Cash Flows and Cash Flow Statements |
| Chapter 4 | The Beneish M-Score Model |
| Chapter 5 | The Accruals |
| Chapter 6 | Analysis Techniques Using Historical Financial Statements and Other Company Information |
| Chapter 7 | Benford's Law, and Yes—Even Statistics |
| Chapter 8 | Grading the Four Companies |
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