Guide to Using International Standards on Auditing in - IFAC

Guide to Using International Standards on Auditing in - IFAC Guide to Using International Standards on Auditing in - IFAC

17.03.2014 Views

124 ong>Guideong> ong>toong> ong>Usingong> ong>Internationalong> ong>Standardsong> on Auditing in the Audits of Small- and Medium-Sized Entities Volume 1—Core Concepts Each technique has its particular strengths and weaknesses that the audiong>toong>r needs ong>toong> consider when designing the analytical procedures. A complex technique such as regression analysis may provide statistically reliable conclusions about a recorded amount. However, a simple technique such as multiplying the number of apartments by the approved rental rates (per leases) and adjusting the result for actual vacancies may provide a reliable and precise estimate of the rental revenue. Exhibit 10.4-2 Facong>toong>rs ong>toong> Consider Designing Substantive Analytical Procedures Suitability given the nature of the assertions. Reliability of the data (internal or external) from which the expectation of recorded amounts or ratios is developed. This will require tests on the accuracy, existence, and completeness of the underlying information such as tests of controls or performing other specific audit procedures, possibly including the use of computer-assisted audit techniques (CAATs). Whether the expectation is sufficiently precise ong>toong> identify a material misstatement at the desired level of assurance. Amount of any difference in recorded amounts from expected values that would be acceptable. Questions ong>toong> Address Establishing Meaningful Relationships between Information Are the relationships developed from a stable environment? • Reliable and precise expectations may not be possible in a dynamic or unstable environment. Are the relationships considered at a detailed level? • Disaggregation of amounts can provide more reliable and precise expectations than an aggregated level. Are there offsetting facong>toong>rs or complexity among highly summarized components that could obscure a material misstatement? Do the relationships involve items subject ong>toong> management discretion? • If so, they may provide less reliable or less precise expectations. The degree of reliability of data used ong>toong> develop expectations needs ong>toong> be consistent with the levels of assurance and precision intended ong>toong> be derived from the analytical procedure. Other substantive procedures may also be required ong>toong> determine whether the underlying data is sufficiently reliable. Tests of controls may also be considered ong>toong> address other assertions such as the data’s completeness, existence, and accuracy. Internal control over non-financial information can often be tested in conjunction with other tests of controls.

125 ong>Guideong> ong>toong> ong>Usingong> ong>Internationalong> ong>Standardsong> on Auditing in the Audits of Small- and Medium-Sized Entities Volume 1—Core Concepts Exhibit 10.4-3 Questions ong>toong> Address Is the Data Sufficiently Reliable for Achieving the Audit Objective? Is the data obtained from sources within the entity, or from independent sources outside the entity? • The reliability of audit evidence is increased (with some exceptions) when it is obtained from independent sources outside the entity. Is data from sources within the entity developed by persons not directly responsible for its accuracy? • If so, consider further procedures ong>toong> check accuracy. Was the data developed under a reliable system with adequate internal control? Is broad industry data available for comparison with the entity’s data? Was the data subject ong>toong> audit testing in the current or prior periods? Were the audiong>toong>r’s expectations regarding recorded amounts developed from a variety of sources? To avoid unwarranted reliance on a source of data used, the audiong>toong>r would perform substantive tests of the underlying data ong>toong> determine whether it is sufficiently reliable, or test whether internal controls over the data’s completeness, existence, and accuracy are operating effectively. In some cases, non-financial data (for example, quantities and types of items produced) will be used in performing analytical procedures. Accordingly, the audiong>toong>r needs an appropriate basis for determining whether the non-financial data is sufficiently reliable for the purposes of performing the analytical procedures. Differences from Expectations When differences are identified between recorded amounts and the audiong>toong>r’s expectations, the audiong>toong>r would consider the level of assurance that the procedures are intended ong>toong> provide and the audiong>toong>r’s performance materiality. The amount of the acceptable difference without investigation would, in any event, need ong>toong> be less than performance materiality. Procedures used for the investigation could include: • Reconsidering the methods and facong>toong>rs used in forming the expectation; • Making inquiries of management regarding the causes of differences from the audiong>toong>r’s expectations and assessing management’s responses, taking inong>toong> account the audiong>toong>r’s understanding of the business obtained during the course of the audit; and • Performing other audit procedures ong>toong> corroborate management’s explanations. As a result of this investigation, the audiong>toong>r may conclude that: • Differences between the audiong>toong>r’s expectations and recorded amounts do not represent misstatements; or • Differences may represent misstatements, and further audit procedures need ong>toong> be performed ong>toong> obtain sufficient appropriate audit evidence as ong>toong> whether a material misstatement does or does not exist.

124<br />

<str<strong>on</strong>g>Guide</str<strong>on</strong>g> <str<strong>on</strong>g>to</str<strong>on</strong>g> <str<strong>on</strong>g>Us<strong>in</strong>g</str<strong>on</strong>g> <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Standards</str<strong>on</strong>g> <strong>on</strong> <strong>Audit<strong>in</strong>g</strong> <strong>in</strong> the Audits of Small- and Medium-Sized Entities Volume 1—Core C<strong>on</strong>cepts<br />

Each technique has its particular strengths and weaknesses that the audi<str<strong>on</strong>g>to</str<strong>on</strong>g>r needs <str<strong>on</strong>g>to</str<strong>on</strong>g> c<strong>on</strong>sider when<br />

design<strong>in</strong>g the analytical procedures. A complex technique such as regressi<strong>on</strong> analysis may provide statistically<br />

reliable c<strong>on</strong>clusi<strong>on</strong>s about a recorded amount. However, a simple technique such as multiply<strong>in</strong>g the number<br />

of apartments by the approved rental rates (per leases) and adjust<strong>in</strong>g the result for actual vacancies may<br />

provide a reliable and precise estimate of the rental revenue.<br />

Exhibit 10.4-2<br />

Fac<str<strong>on</strong>g>to</str<strong>on</strong>g>rs <str<strong>on</strong>g>to</str<strong>on</strong>g> C<strong>on</strong>sider<br />

Design<strong>in</strong>g<br />

Substantive<br />

Analytical<br />

Procedures<br />

Suitability given the nature of the asserti<strong>on</strong>s.<br />

Reliability of the data (<strong>in</strong>ternal or external) from which the expectati<strong>on</strong> of recorded<br />

amounts or ratios is developed. This will require tests <strong>on</strong> the accuracy, existence, and<br />

completeness of the underly<strong>in</strong>g <strong>in</strong>formati<strong>on</strong> such as tests of c<strong>on</strong>trols or perform<strong>in</strong>g<br />

other specific audit procedures, possibly <strong>in</strong>clud<strong>in</strong>g the use of computer-assisted audit<br />

techniques (CAATs).<br />

Whether the expectati<strong>on</strong> is sufficiently precise <str<strong>on</strong>g>to</str<strong>on</strong>g> identify a material misstatement at<br />

the desired level of assurance.<br />

Amount of any difference <strong>in</strong> recorded amounts from expected values that would be<br />

acceptable.<br />

Questi<strong>on</strong>s <str<strong>on</strong>g>to</str<strong>on</strong>g> Address<br />

Establish<strong>in</strong>g<br />

Mean<strong>in</strong>gful<br />

Relati<strong>on</strong>ships<br />

between<br />

Informati<strong>on</strong><br />

Are the relati<strong>on</strong>ships developed from a stable envir<strong>on</strong>ment?<br />

• Reliable and precise expectati<strong>on</strong>s may not be possible <strong>in</strong> a dynamic or unstable<br />

envir<strong>on</strong>ment.<br />

Are the relati<strong>on</strong>ships c<strong>on</strong>sidered at a detailed level?<br />

• Disaggregati<strong>on</strong> of amounts can provide more reliable and precise expectati<strong>on</strong>s<br />

than an aggregated level.<br />

Are there offsett<strong>in</strong>g fac<str<strong>on</strong>g>to</str<strong>on</strong>g>rs or complexity am<strong>on</strong>g highly summarized comp<strong>on</strong>ents<br />

that could obscure a material misstatement?<br />

Do the relati<strong>on</strong>ships <strong>in</strong>volve items subject <str<strong>on</strong>g>to</str<strong>on</strong>g> management discreti<strong>on</strong>?<br />

• If so, they may provide less reliable or less precise expectati<strong>on</strong>s.<br />

The degree of reliability of data used <str<strong>on</strong>g>to</str<strong>on</strong>g> develop expectati<strong>on</strong>s needs <str<strong>on</strong>g>to</str<strong>on</strong>g> be c<strong>on</strong>sistent with the levels of<br />

assurance and precisi<strong>on</strong> <strong>in</strong>tended <str<strong>on</strong>g>to</str<strong>on</strong>g> be derived from the analytical procedure. Other substantive procedures<br />

may also be required <str<strong>on</strong>g>to</str<strong>on</strong>g> determ<strong>in</strong>e whether the underly<strong>in</strong>g data is sufficiently reliable. Tests of c<strong>on</strong>trols may<br />

also be c<strong>on</strong>sidered <str<strong>on</strong>g>to</str<strong>on</strong>g> address other asserti<strong>on</strong>s such as the data’s completeness, existence, and accuracy.<br />

Internal c<strong>on</strong>trol over n<strong>on</strong>-f<strong>in</strong>ancial <strong>in</strong>formati<strong>on</strong> can often be tested <strong>in</strong> c<strong>on</strong>juncti<strong>on</strong> with other tests of c<strong>on</strong>trols.

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