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Anomalies in an organization’s financial reports can be an indicator that fraudulent activity is occurring — if you know what to look for. Digging deep into the financial statements offers an advanced method of detecting fraud by uncovering relationships that don’t make sense and highlighting red flags of potential manipulation.
Learn how to use in-depth financial and ratio analysis to spot the warning signs of fraud in your organization during this 2-day ACFE seminar. This instructor-led course will provide you with an overview of numerous types of analyses that can be used to identify embezzlement, corruption schemes, and fraudulent financial reporting. Practical problems and real case examples discussed throughout the course will illustrate many of the principles and techniques that are presented.
A solid understanding of the creation of and relationships between an organization's financial statements and records
You Will Learn How To:
Design financial analyses aimed at detecting specific types of fraud schemes, including asset misappropriations, corruption schemes and financial statement fraud
Elevate the fraud-detection capabilities of traditional horizontal, vertical and ratio analyses
Recognize financial anomalies, including duplicate transactions and violations of Benford’s Law
Apply complex ratios, such as the Beneish M-score and other multiple-factor analyses
Formulate targeted ratios that combine non-financial data with financial data
Design and perform a fraud risk assessment to determine which ratios are of the greatest importance to monitor
Select and implement monitoring tools to help automate and improve detection of financial red flags
Location & Venue
Hyatt Regency Seattle
808 Howel St.
Seattle, WA 98101
Hotel Phone: (877) 803-7534 Room Rate: $299 single Hotel Cut-Off Date: September 21, 2022
Credit by Field of Study
Registration & Fees
Early Registration Deadline: September 13, 2022 Register by the Early Registration Deadline to SAVE USD 100!
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Mary Breslin, CFE, CIA - Speaker
Founder and Managing Partner
Payment must be received by September 13, 2022 to receive early registration discount.
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Event Cancellation Policy
Our cancellation policy is intended to keep costs low for attendees. Due to financial obligations incurred by ACFE, Inc. you must cancel your registration prior to the start of the event. Cancellations received less than 14 calendar days prior to an event start date are subject to a $100 administrative fee. No refunds or credits will be given for cancellations received on or after the start date of the event. Those who do not cancel and do not attend are responsible for the full registration fee. Should an event be cancelled or postponed by the ACFE due to unforeseen circumstances, ACFE will process a full refund of registration fees within 30 days of such circumstances becoming known. ACFE will attempt to notify affected customers by phone and email after it determines cancellation is necessary.