Book description
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.
Table of contents
- Cover
- Series Page
- Title Page
- Copyright
- Dedication
- Preface
- Acknowledgments
- 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
- Bibliography
- About the Author
- Index
Product information
- Title: Using Analytics to Detect Possible Fraud: Tools and Techniques
- Author(s):
- Release date: July 2013
- Publisher(s): Wiley
- ISBN: 9781118585627
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