2008
DOI: 10.1506/ap.7.3.1
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A Framework for Identifying (and Avoiding) Fraudulent Financial Reporting*

Abstract: This commentary analyzes the relationship of fraud risk assessments to other risk assessments by auditors. The Public Company Accounting Oversight Board notes that this is a problem area of current practice. Effective detection of fraudulent financial reporting requires an integrative accounting/auditing conceptual framework. As a result, this paper is as much about accounting theory as it is about auditing. To simplify the development of such an integrated framework, this paper uses an expanded risk model. Th… Show more

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Cited by 6 publications
(18 citation statements)
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References 26 publications
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“…The proposed approach is consistent with risk management principles, such as calibration of ranges, as well as risk‐based auditing. This approach is also consistent with the more complete risk model proposed in Smieliauskas for use in auditing. Specifically, here I focus on how to make operational the concept of fairness of presentation of accounting estimates when working with the “reasonable range” concept of CAS No.…”
supporting
confidence: 83%
See 2 more Smart Citations
“…The proposed approach is consistent with risk management principles, such as calibration of ranges, as well as risk‐based auditing. This approach is also consistent with the more complete risk model proposed in Smieliauskas for use in auditing. Specifically, here I focus on how to make operational the concept of fairness of presentation of accounting estimates when working with the “reasonable range” concept of CAS No.…”
supporting
confidence: 83%
“…This is a bit more ambiguous than AuG‐41. This increased ambiguity can be addressed via the accounting risk concept discussed in Smieliauskas (). The accounting risk concept assumes the uncertainty within the range also needs to be considered in deciding the total riskiness of a reported estimate in meeting the requirements of CAS 540.16.…”
Section: Exhibitmentioning
confidence: 99%
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“…Such aggregation can lead easily to aggregate risks much greater than 1, thereby violating basic probability axioms. On this point, a proposal made by Smieliauskas (2008) regarding identification of fraudulent forecasts in financial reporting merits consideration. Smieliauskas (2008) introduced the concept of a benchmark range based on acceptable AccR, proposed a way to properly aggregate audited financial reporting risks, and proposed a general way of constructing ranges of acceptable forecasts for financial reporting.…”
Section: Integrating Alexander's Proposed Accounting Policy Risk Intomentioning
confidence: 99%
“…On this point, a proposal made by Smieliauskas (2008) regarding identification of fraudulent forecasts in financial reporting merits consideration. Smieliauskas (2008) introduced the concept of a benchmark range based on acceptable AccR, proposed a way to properly aggregate audited financial reporting risks, and proposed a general way of constructing ranges of acceptable forecasts for financial reporting. Any accounting estimate involving assumptions about the future that fall outside the benchmark range is considered unacceptable for the financial reporting framework.…”
Section: Integrating Alexander's Proposed Accounting Policy Risk Intomentioning
confidence: 99%