Using Analytics to Detect Possible Fraud: Tools and Techniques

✍ Scribed by Pamela S. Mantone(eds.)

• Publisher: Wiley
• Year: 2013
• Tongue: English
• Leaves: 358
• Category: Library

✦ 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.

✦ Table of Contents

Content:
Chapter 1 Overview of the Companies (pages 1–17):
Chapter 2 The “Norm” and the “Forensic” Preliminary Analytics (pages 19–82):
Chapter 3 The Importance of Cash Flows and Cash Flow Statements (pages 83–118):
Chapter 4 The Beneish M‐Score Model (pages 119–170):
Chapter 5 The Accruals (pages 171–198):
Chapter 6 Analysis Techniques Using Historical Financial Statements and Other Company Information (pages 199–235):
Chapter 7 Benford's Law, and Yes—Even Statistics (pages 237–292):
Chapter 8 Grading the Four Companies (pages 293–327):