Advanced Financial Statement Analysis—Case Studies




 Advanced Financial Statement Analysis—Case Studies
CPE Credit

Program Type: VideoCast (Audio,Video, PPT Presentation)
Program Level: Intermediate
Prerequisites: Previous training or research on subject matter being taught.
Advanced Preparation: None
Delivery Method: Group Internet-Based
CPE Credits: Two (2) Hours
Fields of Study: Accounting
Item Number: 16PFFCH1116B
Shipping Weight: 0lbs. 0oz.
Price: $110.00
Program Description

Identify unusual variations in financial statements from case studies by using various analytical tests such as Piotroski's F-Score Model, Lev-Thiagarajan's 12 Signals, Beneish M-Score Model, Sloan's Accruals, Dechow-Dichev Accrual Quality, Benford's Law, and Z-Score analysis. These techniques may be used on various types of industries and organizations. The case studies walk the attendee through the process of analyzing the data and how to interpret the results of the testing. These techniques are useful in defining specific areas that require additional investigative techniques to determine if the possibility of fraud exists. The presentation is based on the techniques discussed in my book, "Using Analytics to Detect Possible Fraud - Tools and Techniques", published by Wiley in 2013.

Learning Objectives

After completing this webinar, attendees will be able to:

- Apply more advanced analytical techniques to analyze financial statements and other financial data
- Identify unusual variations in financial statements that require further investigation
- Prepare and perfect the use of visual techniques to explain more complex testing and the results
- Differentiate between the various analytical tests and their most effective use

Who Should Attend

Financial professionals

Presenter(s)

Pamela Mantone, CPA, CFE, CFF, MAFF, CITP, CGMA, FCPA
Ms. Pam Mantone specializes in litigation support services with emphasis on forensic accounting and fraud examinations. She has performed forensic and fraud auditing services for organizations, including the gathering of forensic evidence and testifying to findings. Ms. Mantone also provides consulting services regarding implementation of fraud prevention and fraud detection internal control systems. Her experience includes conducting and supervising audits of local banks, credit unions, local not-for-profit organizations and HUD audits. She manages and performs external and internal audits of financial institutions.

Ms. Mantone is an accomplished author. Her book, Using Analytics to Detect Possible Fraud—Tools and Techniques, was published in 2013 and provides a common source of analytical techniques used in forensic accounting investigations. It is also used as a college textbook.