TAILIEUCHUNG - Ebook Principles of auditing (2nd edition): Part 2

(BQ) Part 2 book "Principles of auditing" has contents: Analytical procedures, substantive testing and evidence, completing the audit, audit reports and communication, corporate governance, overview of a group audit. | Chapter 9 ANALYTICAL PROCEDURES Learning Objectives After studying this chapter you should be able to: 1 Understand the general nature of analytical procedures. 2 Describe four general analytical procedures. 3 Explain how expectations are developed and what sources are used. 4 Clarify how the effectiveness of an analytical procedure is a function of the nature of the account and the reliability and other characteristics of the data. 5 Calculate the customary ratios that are used during the planning phase to determine accounts that may represent significant risks to the entity of liquidity, solvency, profitability, and activity. 6 Understand some indications that the going concern assumption may be questioned. 7 Comprehend why and how analytical procedures may be used at each audit phase. 8 Grasp how analytical procedures are used in substantive procedures. 9 Describe some of the analytical procedures carried out by computer-aided audit techniques. 10 Illustrate data mining methods, techniques, and algorithms used to analyze client data. 11 Portray the auditor’s procedures when analytical procedures identify significant fluctuations that deviate from predicted amounts. CHAPTER 9 ANALYTICAL PROCEDURES Introduction Analytical procedures consist of the analysis of significant ratios and trends including the resulting investigation of fluctuations and relationships that are inconsistent with other relevant information or deviate from predictable amounts. 1 Put another way, analytical procedures entail the use of comparisons and relationships to determine whether account balances or other data appear reasonable. Such procedures allow the auditor to look at things in overview and answer the question: Do the numbers make sense? ■ Relationships Among Data A basic premise of using analytical procedures is that there exist plausible relationships among data and these relationships can reasonably be expected to .

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