In every audit, the auditor is required to specifically assess the risk of material misstatement of the financial statements due to fraud. Fraud auditing is a course that examines the types of fraud considered by auditors when auditing financial statements: fraudulent financial reporting and misappropriations of assets. This course describes the way auditors gather information to assess fraud risk in every audit and develop appropriate responses to identified fraud risks, after considering the effectiveness of management's antifraud programs and controls. This course focuses on the typical fraud techniques and highlights areas that are subject to greater risk of fraud. Once the auditor suspects fraud, it is their responsibility to gather additional evidence, often through inquiry. This course also describes the auditor’s responsible for making certain communications about suspected or detected fraud to senior management and the audit committee.

The auditor uses four phases to meet the overall objective of the audit, which is to express an opinion on the fairness with which the financial statements present fairly. Every audit requires planning, which occurs during the first of the four audit phases. Audit planning is a course that will review the audit planning process. This course will discuss the important of evaluating materiality and risk, which will impact the auditor's planned audit evidence. This course will describe how to develop a preliminary judgment about materiality and consider the most appropriate risks for each engagement. This course will review the eight steps involved in creating the audit plan.

Two tools for fraud detection are discussed in this course; Benford’s Law and the Beneish M Score.  Benford’s Law predicts the probability of the distribution of first digits in a set of accounting numbers.   For the first digit, one is the most likely occurrence, followed by two, etc.  In a large population of accounting transactions, by comparing the actual occurrence of first digits in accounting numbers to the Benford distribution, areas of concern are highlighted for further analysis and evaluation. 

The Beneish M Score quantifies the possibility of financial manipulation occurring in financial statements.  If the M Score is greater than (or less negative than) -2.22, it is likely that there is some manipulation of the financial results. 

Both of these are powerful tools in the detection of fraud.  Benford’s Law assists in the detection of transactional fraud while the Beneish M Score assists in the detection of fraud in financial reporting.

In every audit, the auditor is required to specifically assess the risk of material misstatement of the financial statements due to fraud. Fraud auditing is a course that examines the types of fraud considered by auditors when auditing financial statements: fraudulent financial reporting and misappropriations of assets. This course describes the way auditors gather information to assess fraud risk in every audit and develop appropriate responses to identified fraud risks, after considering the effectiveness of management's antifraud programs and controls. This course focuses on the typical fraud techniques and highlights areas that are subject to greater risk of fraud. Once the auditor suspects fraud, it is their responsibility to gather additional evidence, often through inquiry. This course also describes the auditor’s responsible for making certain communications about suspected or detected fraud to senior management and the audit committee.

The auditor uses four phases to meet the overall objective of the audit, which is to express an opinion on the fairness with which the financial statements present fairly. Every audit requires planning, which occurs during the first of the four audit phases. Audit planning is a course that will review the audit planning process. This course will discuss the important of evaluating materiality and risk, which will impact the auditor's planned audit evidence. This course will describe how to develop a preliminary judgment about materiality and consider the most appropriate risks for each engagement. This course will review the eight steps involved in creating the audit plan.

Two tools for fraud detection are discussed in this course; Benford’s Law and the Beneish M Score.  Benford’s Law predicts the probability of the distribution of first digits in a set of accounting numbers.   For the first digit, one is the most likely occurrence, followed by two, etc.  In a large population of accounting transactions, by comparing the actual occurrence of first digits in accounting numbers to the Benford distribution, areas of concern are highlighted for further analysis and evaluation. 

The Beneish M Score quantifies the possibility of financial manipulation occurring in financial statements.  If the M Score is greater than (or less negative than) -2.22, it is likely that there is some manipulation of the financial results. 

Both of these are powerful tools in the detection of fraud.  Benford’s Law assists in the detection of transactional fraud while the Beneish M Score assists in the detection of fraud in financial reporting.