Modelling Accounting Populations for Ratio Estimation in Audit Sampling

The classical ratio estimator is one of the auxiliary information estimators frequently discussed in the audit sampling literature. The major weakness of this estimator is its unreliability when accounting populations have only one-sided errors or when the error rate is low. Efforts have been made to improve the classical estimator by using techniques such as the Jackknifed ratio discussed by Frost and Tamura (1982). This paper proposes a new method to estimate the population total error based on the ratio of error over book value, i.e., taintings.

The special features of the proposed procedure are that (1) it specifically models the special characteristics of the typical accounting populations, and (2) it is the first study we know of in the audit sampling literature that uses simulation to capture the characteristics of the specific distribution of the estimator each time a confidence interval is constructed. This new approach became possible because of the recent publication of several studies on the empirical characteristics of accounting errors. Results of empirical tests indicate that the proposed method can significantly improve the reliability of the classical ratio under circumstances where the classical ratio needs improvements. Empirical comparisons are also made with a third ratio estimator under dollar-unit sampling. Again, the proposed method provides better reliability.     

Managerial incentives, derivatives and stability

In this paper we model the derivative strategies optimally undertaken by a manager (or head of a profit center in a hedge fund) when the detailed derivative positions taken are not contractible. We show that with commonly-used incentive features in the compensation structure, managers have incentives to implement complex derivative strategies that lead to a slight reduction in default probabilities (or a slight increase in performance measures) with a high probability at the cost of allowing for the possibility of disaster states involving large losses, although with a very small probability. Such disaster states cause systemic instability (similar to the experience of Long-Term Capital Management in September 1998). We discuss possible audit strategies, governance mechanisms and incentive structures that will ameliorate the probability of systemic instability arising from such incentives in a market with a rich enough menu of derivatives. We characterize the optimal intensity of audit effort with and without the presence of such derivative strategies. The dependence of the optimal audit intensity on the legal liability regime and different rules for apportioning the auditor's liability is derived. Our results also relate the optimal audit intensity to the cost and efficiency parameters of the audit firm.     

The relationship between internal audit and information security: An exploratory investigation

The internal audit and information security functions should work together synergistically: the information security staff designs, implements, and operates various procedures and technologies to protect the organization's information resources, and internal audit provides periodic feedback concerning effectiveness of those activities along with suggestions for improvement. Anecdotal reports in the professional literature, however, suggest that the two functions do not always have a harmonious relationship. This paper presents the first stage of a research program designed to investigate the nature of the relationship between the information security and internal audit functions. It reports the results of a series of semi-structured interviews with both internal auditors and information systems professionals. We develop an exploratory model of the factors that influence the nature of the relationship between the internal audit and information security functions, describe the potential benefits organizations can derive from that relationship, and present propositions to guide future research.     

审计机关购买社会审计服务决策研究

审计机关购买社会审计服务是基于承接单位所提供的审计服务质量可以达到预期、承接人员可以做到勤勉尽责这两个前提。通过服务购买,审计机关与社会中介机构缔结经济契约,弥补自身审计资源的不足。不同社会中介机构所能提供的审计服务在质量和价格上是有差异的;由于信息不对称,社会中介机构作为审计服务的供给方可能会选择性提供审计业务能力相关信息,审计机关可能无法优选目标而出现逆向选择现象。面对质量和成本双重目标约束,在探索协调路径的基础上,运用层次分析法,根据审计机关购买社会审计服务的特点,构建各指标的层次结构模型,从质量和成本两个维度进行量化分析,提出可行性方案,再进行决策,这种方法可以解决目前审计机关购买社会审计服务中可行性方案量化不足的问题。     

Model Predictions and Auditor Assessments of Going Concern Status

This paper compares the predictions of a bankruptcy prediction model and the assessments of auditors on the going concern status of a sample of 165 bankrupt companies and 165 matched non-bankrupt companies. Data from US companies for the period 1978 to 1985 were used. Probit analysis (with the weighted exogenous sampling maximum likelihood procedure) was applied to estimate the model parameters. The Lachenbruch U method hold-out accuracy rates of the model are 85.45% for bankrupt firms, 100.00% for non-bankrupt firms, and 99.91% overall. The corresponding accuracy rates of the auditors based on their audit reports are 54.37% for bankrupt firms, 100.00% for non-bankrupt firms, and 99.73% overall. The sensitivity of optimal cut-off points to misclassification costs of Type I and Type II errors was also considered. Results of the study suggest that bankruptcy prediction models can be useful to auditors in making going concern assessments. Further, such models can serve as analytical tools and defensive devices.     

Ranked set sampling: an auditing application

This study compares the statistical precision of simple random sampling with balanced ranked set sampling in an inventory valuation scenario. Computer simulation is used to calculate standard errors for the ranked set sampling mean, and those standard errors are then compared to the corresponding standard error achieved under simple random sampling. Results indicate that required sample sizes for a given precision are much smaller under ranked set sampling than under simple random sampling. This implies that simple random sampling is inferior to ranked set sampling in auditing scenarios involving the measurement of time consuming or difficult to gather data such as inventory observations, receivable confirmations, etc. Accordingly, auditors using ranked set sampling in lieu of simple random sampling can achieve the significant cost reductions associated with smaller sample sizes without sacrificing audit quality. This is a significant finding because current auditing practice is still using the simple random sampling methodology.     

Auditing private companies: what do we know?

The purpose of this article is to provide an overview of the literature on what we currently know about the costs and benefits of auditing private company accounts. Our main conclusions are the following. First, there is much heterogeneity in factors driving audit demand in private companies and the value derived from the audit. Second, research provides support for improved financial reporting quality due to, and real economic benefits from, private company audits. Third, the cost–benefit analysis for private company audits is firm-specific and mandating the audit does not seem to be cost-effective and thus economically optimal for all private companies. Alternative services may better meet the needs of especially smaller private companies. Furthermore, mandating the audit is not necessarily an optimal solution since private companies with low demand for a high-quality audit are able to find an auditor that meets their requirements even under a mandatory regime. Hence, having a mandatory audit in place is no guarantee for universally high-quality audits and this seems most salient for private companies where auditors may be more prone to independence issues. We conclude by providing a number of directions for future research.     

Sampling Practices of Internal Auditors at Corporations on the Standard & Poor's Toronto Stock Exchange Composite Index*

The purpose of this study is to find out how often statistical and nonstatistical audit sampling practices are used by internal auditors in companies listed on the Standard and Poor's (S&P) Toronto Stock Exchange (TSX) Composite Index and how such practices are related to the training and background of the respondents. We adapted the questionnaire used by Hall, Hunton, and Pierce (2002) in their survey of U.S. auditors in public accounting, industry, and government. Although 20 percent of companies responding do not have an internal audit department, the other 80 percent use statistical methods to plan sample sizes 15 percent (+5 percent) of the time, random sample selection methods 23 percent (+5 percent) of the time, but statistical evaluation methods only 10% (+4%) of the time. Despite the low percentage use, almost half of the respondents reported substantial training in statistical sampling and evaluation methods. Moreover, we found statistically significantly higher proportions of respondents with substantial training in audit sampling methods among companies cross‐listed on U.S. exchanges compared with companies listed only on the TSX. Finally, respondents with a chartered accountant designation tend to have a negative impact on the use of statistical methods in audit sampling, and companies cross‐listed on U.S. exchanges tend to have larger internal audit departments than companies listed only on the TSX.     

The role of audit evidence in a strategic audit

This study examines how audit risk (the probability of false acceptance) and its components change when the auditor obtains audit evidence in an acceptance sampling model. Inherent risk and audit risk increase with audit evidence if the auditee has a sufficiently strong incentive for committing fraud. Detection risk always increases when audit evidence is introduced. If the auditor has a sufficiently strong incentive for avoiding false rejection, audit risk also increases with audit evidence. The analysis indicates that requiring auditors to obtain information is not effective in preventing material misstatements in at least some instances.     

Corporate social responsibility and the assessment by auditors of the risk of material misstatement

This paper investigates whether, and how, firms’ corporate social responsibility (CSR) performance influences the auditor's assessment of the risk of material misstatement, whether due to fraud or error, at the financial statement level by analysing their pricing decision (i.e., audit fees). Using a panel data set of 12,330 firms from 28 countries over the period 2003–2012 and different measures of CSR performance, we find a U‐shaped relationship between firms’ CSR performance and audit fees. This result suggests that there is an optimal level of CSR performance that minimizes the auditor's assessment of the risk of material misstatement, which in turn lowers the need for greater auditor effort; that is why auditors charge firms significantly less when their CSR performance is at the optimal level. Finally, we also show that the optimal level of CSR performance varies with the degree of environmental dynamism, ownership concentration and leverage.     

Pricing and supplier concentration in the private client segment of the audit market: Market power or competition?

This study differs from prior audit-pricing studies as (1) it focuses on the issue of price competition in the (small) private client segment of the audit market and (2) addresses the questions of whether and how the audit-pricing model changed in that market between 1989 and 1997. Given the significant increases in market concentration and two big audit firm mergers in that period, we try to assess whether price competition (market power) has increased (decreased) or decreased (increased). We use Belgian data on privately owned companies from 1989 and 1997 for our analyses. We find that audit fees are significantly associated with the incumbent auditor's market share both in 1989 and 1997. Our results are in line with prior studies on public client samples and hence do not support prior assumptions that there are no price premia charged by large auditors in the small client segment of the audit market. As to the evolution of audit pricing in the private client segment of the Belgian audit market between 1989 and 1997, we find that the impact of various audit fee determinants changed significantly and report evidence supportive of increased price competition.     

How do auditors view managers’ voluntary disclosure strategy? The effect of earnings guidance on audit fees

The objective of this study is to examine the relation between attributes of earnings forecasts issued by managers and audit fees. Although there is an extensive literature on managers’ disclosure of earnings forecasts, there is a paucity of research on how auditors incorporate information from these voluntary disclosures. We find that the issuance of an annual or quarterly management earnings forecast in the prior period is positively associated with the current period audit fees. Our results indicate that on average, audit fees are higher by about 7% for firm-years associated with an annual forecast. Among the firms that issue earnings forecasts, we find no association between audit fees and likelihood of updating a previously issued earnings forecast, indicating that auditors do not view such behavior negatively. Further, we find audit fees to be positively associated with the error and the bias (or optimism) in the forecasts for annual forecasts but not for quarterly forecasts. Overall, these results suggest that management’s forecast behavior captures higher business risk for the auditor via greater risk of earnings management or litigation risk.     

Audit quality indicators: Perspectives from Non-Big Four audit firms and small company audit committees

Through a combined study, we explore the professional perspectives of two distinct PCAOB constituent groups related to the PCAOB's proposed regulatory approach for audit quality indicators. First, we examine the comment letters of Non-Big Four audit firms and find that this specific constituent group views most of the PCAOB's proposed audit quality indicators as infeasible and redundant. Further, Non-Big Four audit firms contend that the indicators require greater clarification from the regulator as well as substantial accompanying qualitative context to avoid misinterpretation that may lead to unintended consequences. Second, we survey a collection of audit committee members from small, publicly-traded companies regarding the current evaluation and perceived effectiveness of eleven specific PCAOB audit quality indicators, each of which is well-established in the extant audit quality literature. We find indicators related to auditor personnel with specialized skill and knowledge, experience of audit personnel, and the timely reporting of internal control issues are perceived to possess the highest level of effectiveness in the evaluation of audit quality.     

Joint audit,audit market structure,and consumer surplus

We use a structural application of the discrete choice model to investigate how the introduction of a joint audit policy would affect audit market structure and consumer surplus. We perform this policy evaluation by identifying demand fundamentals in a joint audit regime and applying them to a single audit regime. We find that a joint audit requirement has the potential to change the audit market structure substantially but that the effects are sensitive to the specific policy design. For example, small audit firms gain market share in a joint audit regime but only if an equal sharing of the workload between the two joint auditors is not required. Our counterfactual analysis reveals that the introduction of a joint audit regime would be associated with a substantial loss of consumer surplus. The loss results from restricting clients from giving all of the audit work to their most preferred audit firm, but it is partly offset by gains in consumer surplus deriving from the opportunity to choose the best combination of auditor pairs.     

Cointegration Analysis of Audit Pricing Model: A Panel Unit Root Test Approach

In this study, we provide evidence on the stationarity of real audit fees and the major explanatory variables frequently used in the audit pricing models from a pooled data set, using panel unit root tests developed by Im et al. (1997). The panel unit root test supports the hypothesis of non‐stationarity of audit fees and their major determinants. We demonstrate that variables in the audit pricing model that were previously found to have impact on audit fees may turn out to be useless when more powerful tests like panel tests are applied to these variables. Our evidence implies that failing to employ appropriate procedure to test cointegration and to specify the appropriate model for audit fees and their determinants would generate results that may have exaggerated the effects of some variables on audit fees.     

An analysis of attributes that impact information technology audit quality: A study of IT and financial audit practitioners

The importance of information technology (IT) auditing has grown with increased reliance on IT for business operations and new regulations regarding the assurance of IT for these operations. Prior work on IT and financial auditing has suggested several general frameworks that may affect IT audit quality; however, the prior work has not provided measurable constructs nor has it considered whether these proposed constructs are the same or different. Building on prior work that has proposed frameworks of IT audit quality, we identify and evaluate potential constructs suggested by these frameworks as well as financial auditing literature. We develop a survey tool and ask IT and financial accounting practitioners to assess the impact of these items on IT audit quality. A factor analysis is used to refine the set of IT audit quality factors identified, and we are able to provide insight into the prioritized impact of each factor on IT audit quality. In comparison to prior research, we find that additional factors are significant for IT audit quality and that the relative importance of the factors for IT audit quality differs for IT versus financial auditors.     

Book-Tax Differences and Inland Revenue Audit Adjustments in New Zealand

Abstract:  Using confidential data from US manufacturing firms' tax returns and Inland Revenue Service (IRS) audit adjustments, Mills (1998) tests, and finds support for, her hypothesis that IRS audit adjustments increase as the book-tax differences increase. We test Mills' hypothesis using confidential data obtained from the New Zealand Inland Revenue (hereafter Inland Revenue). Confidential data provide the key variable of interest, Inland Revenue's proposed audit adjustment, which is not available from public sources. These data provide the exact audit adjustment amounts, eliminating measurement errors inherent in proxy variables, and enable a temporal alignment of the book-tax differences with the Inland Revenue audit adjustments, thereby enhancing the internal validity of the relation between book-tax differences and Inland Revenue audit adjustments. Because the results of our study using New Zealand data, another time period, a more diverse set of firms, and a different institutional environment are consistent with those of Mills, we argue for the generalizability of Mills' hypothesis that proposed audit adjustments are positively related to the excess of book income over taxable income.     

The Contribution of Internal Audit as a Determinant of External Audit Fees and Factors Influencing This Contribution

Despite extensive research on the determinants of external audit fees, there is little empirical evidence on the effect of internal audit contribution on the external audit fee. Using a cross-sectional regression model based on prior audit fee research, this study provides evidence that internal audit contribution is a significant determinant of the external audit fee. Further, a second model that provides evidence on the determinants of internal audit contribution is developed and tested. This second model indicates that internal audit contribution is influenced by internal audit quality and, conditional on the level of inherent risk, the availability of internal audit and the extent of coordination between internal and external auditors. These results are based on a unique data-set comprised of publicly available data matched with survey responses from internal and external auditors affiliated with 70 non-financial services Fortune 1000 firms. The sample includes all of the former "Big 6" international accounting firms and clients from twenty-nine different industries.     

ASSOCIATIONS BETWEEN CORPORATE CHARACTERISTICS AND DISCLOSURE LEVELS IN ANNUAL REPORTS: A META-ANALYSIS

Accounting researchers have investigated associations between corporate characteristics and disclosures in corporate annual reports since 1961. Findings have consistently shown corporate size and listing status to be significantly associated with disclosure levels, while mixed results have been reported for leverage, profitability, and audit firm size. The purpose of the present paper is to integrate prior disclosure studies and to identify the underlying factors that moderate the apparent variation in results. A meta-analysis of 29 studies confirms significant and positive relationships between disclosure levels and corporate size, listing status and leverage. No significant association is found between corporate profitability or size of audit firm, with aggregate disclosure levels. This study also found that in addition to sampling error, the results are moderated by differences in disclosure index construction, differences in definition of the explanatory variables, and differences in research settings.     

Monetary unit sampling: Improving estimation of the total audit error

In the practice of auditing, for cost concerns, auditors verify only a sample of accounts to estimate the error of the total population of accounts. The most common statistical method to select an audit sample is by monetary unit sampling (MUS). However, common MUS estimation practice does not explicitly recognize the multiple distributions within the population of account errors. This often leads to excessive conservatism in auditors' judgment of population error. In this paper, we review the common MUS estimation practice, and introduce our own method which uses the Zero-Inflation Poisson (ZIP) distribution to consider zero versus non-zero errors explicitly. We argue that our method is better suited to handle the real populations of account errors, and show that our ZIP upper bound is both reliable and efficient for MUS estimation of accounting data.