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Review of Financial Accounting and Detecting Fraud :: مركز المجد للجودة وتطوير الموارد البشرية
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Review of Financial Accounting and Detecting Fraud

Training Course Objectives
  • Discuss the structure and foundations of financial reporting
  • Undertake an initial analytical and critical review of financial reports
  • Be aware of creative accounting and how it can be determined
  • Determine the need for forensic accounting by means of case study and other analysis
  • Appreciate the nature or Benford’s Law and its increasingly important role in the prevention and detection of fraud
  • Discuss the role of the auditor in detecting fraud
  • Applying predictive modelling to the fraud problem
  • Carrying out a variety of statistical tests on financial reports and accounting data
Training Course Content

Financial Accounting Review

  • The Background to Financial Reporting
    • Structure of financial reports
    • Regulation of financial reporting
    • Legislation
    • Financial reporting standards
    • Concepts and conventions
    • The framework
  • The Analysis of Financial Reports
    • Ratio analysis
    • Statistical and graphical analysis of financial reports: how can fixed costs be less than zero?
    • Detecting bias in accounting numbers
    • Qualitative analysis: what people say and what they might mean



What is creative accounting and why is it a bad thing?

  • Earnings management
  • Inappropriate accruals and estimates
  • Excessive provisions
  • Recognizing premature revenue recognition
  • Fictitious revenue
  • Aggressive capitalization
  • Creative income statements: classification and disclosure
  • Problems with cash flow reporting



  • The basics of forensic accounting
  • The going concern concept in greater detail
  • Cases in which forensic accounting was used
  • Off balance sheet finance
  • Introduction to Benford’s Law

Cases from the energy sector will be used here


The Role of the Auditor and Detecting Fraud

  • The Role of the Auditor in the Prevention and Detection of Fraud
  • Deterring Fraud
    • The fraud triangle
      • Why?
      • Who?
      • How?
  • The COSO “Internal Control – Integrated Framework,” (COSO Model)
  • 20 ways to detect fraud
  • Fraud v Erroneous Claims
  • Fraud Detection as a Predictive Modeling Problem
  • Predicting rare events
    • Predictors
    • Stratified sampling
    • Stratified random sampling
    • Outliers
  • Data mining
  • Text mining
  • Identifying fraud using time series analysis
  • Fraud risk assessments


Detecting Fraud

  • Further Statistical Analysis of accounting and other data
    • Grouping
    • Ordering
    • Correlation and regression analysis
    • Hypothesis testing
    • Further application of Benford’s Law
      • Chi Square and Kolmogorov Smirnoff Tests
      • Mean Absolute Deviation (MAD) test
      • Mantissa Arc Test
      • Second Order and Summation Tests
Targeted Audience

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Dates and Venues
The training course is held every week and in all countries.

To register for this course, please fill out the form below. Email is mandatory.