Materiality Uncertainty and Earnings Misstatement
Indiana University-Kelley School of Business
Indiana University - Kelley School of Business - Department of Accounting
The concept of materiality provides a basis for auditors to ignore small misstatements, but the definition of small in this context is ambiguous. The issue of "materiality-standard-setting" has been raised recently by Arthur Levitt, former chairman of the Security and Exchange Commission. We examine how materiality uncertainty affects the auditor's evaluation of audit evidence and a manager's choice of earnings overstatement in a strategic auditing model where earnings misstatements also include unintentional system error. We find that when the expected cost of accepting financial statements that are materially misstated, which we refer to as an audit failure, is relatively large, an increase in materiality uncertainty results in a more conservative auditor evaluation of the audit evidence and a decrease in the amount of intentional overstatement. Alternatively, if the auditor's expected cost of extending audit procedures is relatively high, then an increase in materiality uncertainty results in a less conservative auditor evaluation of the audit evidence and an increase in the manager's earnings overstatement. The auditor also becomes increasingly conservative as the report increases when the information system is sufficiently noisy. Finally, when the expected cost of audit failure is large, the equilibrium audit risk can increase or decrease in materiality uncertainty despite the corresponding increase in auditor conservatism and decrease in intentional overstatement. Audit risk is the average probability of audit failure across all possible evidence outcomes.
Number of Pages in PDF File: 46
Keywords: strategic audit, materiality, intentional overstatement, system of internal control
JEL Classification: M49, C72, G34
Date posted: May 23, 2003
© 2016 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollobot1 in 0.218 seconds