具有数据和数据分析的实质性分析程序能否取代抽样作为细节测试?

IF 1.6 Q3 BUSINESS, FINANCE
Kyunghee Yoon, T. Pearce
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引用次数: 1

摘要

为了避免由适度或薄弱的实质性分析程序(sap)引起的问题,审计公司倾向于更多地关注细节测试,而不是sap,特别是对于收入等大型损益表账户。基于先前研究的发现,本评论研究试图:1)总结由高级分析模型(例如,回归和时间序列模型)开发的SAP的结果,以及2)通过评估一个测试替代另一个测试的局限性和好处来回答SAP使用的问题。先前的研究结果普遍表明,先进的分析模型开发的sap不能提供高水平的收入保证。由于sap和审计抽样存在不同的风险和独特的好处,它们通常是互补的。如果不仔细考虑与每项测试的风险和益处有关的条件,仅仅避免sap可能会降低实质性测试的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can Substantive Analytical Procedures with Data and Data Analytics Replace Sampling as Tests of Details?
To avoid problems caused by moderate or weak substantive analytical procedures (SAPs), audit firms tend to focus more on tests of details than SAPs, especially for large income statement accounts such as revenues. Based on findings from previous studies, this commentary study attempts to: 1) summarize the outcomes of SAPs developed by advanced analytics models (e.g., regression and time series models), and 2) respond to the question of SAP use by evaluating the limitations and benefits if one test replaces the other. The outcomes of prior studies generally show that SAPs developed by advanced analytical models do not provide a high level of assurance for revenue. Since SAPs and audit sampling present different risks and unique benefits, they are often complementary. Without the careful consideration of conditions related to the risks and benefits of each test, simply avoiding SAPs could reduce the effectiveness of substantive tests.
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来源期刊
CiteScore
4.30
自引率
27.80%
发文量
14
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