Together, Reducing Fraud Worldwide

  • On-Site Training Proposed Schedule 


    Uncovering Fraud with Financial and Ratio Analysis

    DAY ONE 
    DAY TWO 
    7:30 a.m. - 8:00 a.m.   Registration and Continental Breakfast    Continental Breakfast  
    8:00 a.m. - 9:20 a.m.  Introduction 
    Ratios and financial analysis are used by many professionals to analyze organizations’ performance and financial health. But they can also be used to identify the red flags of fraud. This introductory session sets the stage for learning how to do so by exploring the basic types of ratios and how they can be used, as well as the importance of assessing and ensuring the ratios’ reliability. You will also discuss recent research on the use of ratio analysis to detect fraudulent activity.
    Using Multiple-Ratio Scores to Detect Fraud 
    In some cases, a single ratio might be all that is needed to uncover warning signs of fraud. In other cases, however, the fraud can best be identified only when several related ratios are studied collectively. This session explores how the Beneish M-Score and several multiple-ratio models can be valuable tools in a fraud examiner’s professional toolbox.
    9:20 a.m. - 9:35 a.m.  Break  Break 
    9:35 a.m. - 10:55 a.m.  Ratio Analysis and Fraud Detection 
    In this session, you will review different types of asset misappropriation, corruption, and financial statement fraud schemes and how their symptoms can be identified using ratio and financial statement analysis. 
    Other Types of Financial and Ratio Analysis 
    In this session, you will learn how Benford’s law analysis, reasonableness testing, regression analysis, and other financial analysis techniques can be used to uncover trends and anomalies that might indicate fraud.
    10:55 a.m. - 11:10 a.m.  Break  Break 
    11:10 a.m. - 12:30 p.m.  Financial Ratios, Part 1 
    In the first of three sessions on traditional financial ratios, you will learn how budget variance analyses can be used to uncover the red flags of fraud. You will also discuss numerous profitability ratios, asset utilization ratios and liquidity ratios, and their use in fraud detection.
    Using Non-Financial Data to Detect Fraud 
    The use of non-financial data is invaluable as a fraud detection tool because perpetrators rarely have the ability to manipulate the non-financial data that correlate to their financial frauds. This session explores how analyzing non-financial data, both separately and in relation to financial information, can take a fraud examiner’s fraud detection skills to the next level.
    12:30 p.m. - 1:30 p.m.  Group Lunch  Lunch on Your Own 
    1:30 p.m. - 2:50 p.m.  Financial Ratios, Part 2 
    In this session, you will continue the discussion of financial ratios as a fraud detection technique. You will learn how leverage ratios can help highlight fraud symptoms, as well as how exploring ratios in specific functions such as accounts receivable, inventory and accounts payable provides an effective means of analyzing those areas for fraud.
    Ratio Analysis and the Fraud Risk Management Process 
    With the vast amount of financial and non-financial data that organizations house, it is important to implement a financial and ratio analysis program that integrates into the company’s overall fraud risk management approach. This session explains how to assess fraud risks within an entity and how to use the results of that assessment to create an effective financial and ratio analysis system.
    2:50 p.m. - 3:05 p.m.  Break  Break 
    3:05 p.m. - 4:25 p.m.   Financial Ratios, Part 3 
    This session wraps up the discussion of financial ratios by covering cash conversion cycle analysis, micro-level composition ratios, spending ratios and the use of the DuPont model as a fraud detection tool.
    Matching Fraud Schemes with Ratios and Investigating Anomalies 
    This session brings together all the information discussed in the course through several practical exercises on identifying relevant fraud risks, determining the appropriate ratios to use for fraud scenarios, and investigating uncovered anomalies.


    Training Details