Lecture 7 - Advanced Auditing

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23 Terms

1
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What is audit evidence?

Information used to determine whether assertions are reasonable.

2
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What makes audit evidence appropriate?

Relevance + reliability.

3
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What makes audit evidence sufficient?

Quantity needed based on risk.

4
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Name the 8 types of audit evidence.

Analytical procedures, inquiry, inspection of tangible assets, external confirmation, inspection of documents, observation, recalculation, reperformance.

5
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What does vouching test?

Existence/occurrence.

6
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What does tracing test?

Completeness.

7
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Why is inquiry insufficient alone?

Must be corroborated by other evidence.

8
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Five attributes of high-quality inquiry?

Interviewee, interviewer, conduct, documentation, synthesis.

9
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What did Bennett & Hatfield (2013) find?

Auditors request less evidence from older/more experienced clients; email reduces social pressure.

10
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What did Saiewitz & Kida (2018) find?

Email + unprofessional tone leads to more biased and less cooperative client responses.

11
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Three types of AP?

Preliminary, substantive, final.

12
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Purposes of preliminary AP?

Understanding business, identifying risks, assessing going concern.

13
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Purpose of substantive AP?

Obtain substantive evidence to reduce tests of details.

14
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Purpose of final AP?

Overall reasonableness check of FS.

15
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What are the 6 steps of substantive analytical procedures?

Suitability, data reliability, expectation, tolerable difference, comparison, investigation.

16
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What affects expectation precision?

Predictability, disaggregation, availability of data.

17
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What affects tolerable difference?

Materiality + desired assurance.

18
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Positive vs. negative confirmations?

Positive: must respond; negative: respond only if disagreement.

19
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When are confirmations highly reliable?

Independent respondents, relevant information, closed format.

20
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What is recalculation?

Verifying mathematical accuracy.

21
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What is reperformance?

Auditor independently redoes control.

22
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What is a limitation of observation?

Behavior may change when being watched.

23
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Name common pitfalls in analytical procedures.

Vague expectations, unreliable data, incomplete explanations, biased inquiry.

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