The materiality of country-specific geographic segment disclosures

SFAS 131 (1997) substantially changed geographic segment reporting in the United States by requiring disclosures to be made by individual foreign country when operations in an individual country are material. Although SFAS 14 (1976) provided a quantitative threshold for determining separately reportable segments, SFAS 131 provides no guidance for determining when operations in an individual country are material. In SAB 99 (1999), the SEC reminds firms that exclusive reliance on quantitative benchmarks to assess materiality is inappropriate; qualitative factors also should be considered.Using financial analysts as subjects, we conduct an experiment to examine two possible benchmarks for determining the materiality of operations in an individual foreign country: (1) the percent of total operations located in an individual country (a quantitative benchmark) and (2) the level of risk associated with the country in which the operations are located (a qualitative benchmark). The results indicate that across two regions both the magnitude of operations and the level of country risk significantly affect financial analysts’ judgments about firm risk. However, the effect that the magnitude of specific country operations has on risk assessment does not apply to countries of relatively high and relatively low risk. These results suggest that, although materiality is often evaluated in quantitative terms, the qualitative criterion of country risk may dominate in importance.     

Taxable income,future profitability,and stock returns

Prior research suggests that investors behave ‘as if’ taxable income contains information about future performance by providing evidence of a positive association between taxable income and stock returns. We draw on the fundamental analysis literature and provide direct evidence on this assertion by examining whether taxable income predicts future pretax performance. We find that taxable income positively predicts future pretax cash flows, pretax book income, and ‘Street’ pretax earnings, suggesting that taxable income provides incremental information to book income regarding performance. Moreover, we find a positive association between taxable income and analysts’ pretax forecasts, consistent with analysts utilizing the information in taxable income when forming earnings expectations. We do not find an association between taxable income and future analyst forecast errors, implying analysts do not overreact or underreact to taxable income's performance signal. Overall, we find that taxable income provides a signal of fundamental value and corroborate the implications of prior research.     

The relation between earnings management and financial statement fraud

This paper provides new evidence on the characteristics of firms that commit financial statement fraud. We examine how previous earnings management impacts the likelihood that a firm will commit financial statement fraud and in doing so develop three new fraud predictors. Using a sample of 54 fraud and 54 non-fraud firms, we find that fraud firms are more likely to have managed earnings in prior years and that earnings management in prior years is associated with a higher likelihood that firms that meet or beat analyst forecasts or that inflate revenue are committing fraud. We further find that fraud firms are more likely to meet or beat analyst forecasts and inflate revenue than non-fraud firms are even when there is no evidence of prior earnings management. This paper contributes to the fraud detection literature and the earnings management literature, and can help practitioners and regulators develop better fraud detection models.     

ESG,Material Credit Events,and Credit Risk

A growing body of research has extended the analysis of the materiality of ESG criteria from the perspective of equity investors to creditors. Past research and analysis have demonstrated the link between better management of ESG criteria and better management of risk overall. Despite this growing consensus and consistent evidence that ESG performance is correlated with credit risk, no empirical evidence has yet linked ESG performance to cost or expense variances or revenue shortfalls that could explain these correlations. The authors attempt to address this lack of mechanism‐based empirical evidence by citing and then building on a number of well‐publicized cases with analysis of two major ESG issues—indigenous land claims and biodiversity—as they affect the global project finance and agriculture sectors. Broadening these single‐sector results, the authors use a novel dataset providing systematic coding of material events reported in the media across a variety of empirical settings to produce the first large‐sample empirical evidence of the mechanisms linking ESG performance to credit risk.     

A genetic algorithm approach to detecting temporal patterns indicative of financial statement fraud

This study presents a genetic algorithm approach to detecting financial statement fraud. The study uses a sample comprising a target class of 51 companies accused by the Securities and Exchange Commission of improperly recognizing revenue and a peer class of 339 companies matched on industry and size (revenue). Variables include 76 comparative metrics, based on specific financial metrics and ratios that capture company performance in the context of historical and industry performance, and nine company characteristics. Time-based patterns detected by the genetic algorithm accurately classify 63% of the target class companies and 95% of the peer class companies. Copyright © 2007 John Wiley & Sons, Ltd.     

The Estimation of Monetary Gains and Losses in Diverse International Economic Environments

This study provides empirical evidence about the accuracy of the shortcut techniques for estimating monetary gains and losses sanctioned by the UK and US standard-setting bodies. Our analysis is based on a sample of 300 firms diversified across 30 countries and three levels of inflation. We conclude that shortcut estimation techniques perform poorly, producing average errors five to 10 times as large as estimates based on the more sophisticated methodology of numerical mathematics. These results hold regardless of the rate of inflation incurred or the monetary base used. When judged relative to a revenue-based materiality measure, the economic significance of these errors is substantial in international economic environments exhibiting the highest levels of inflation, and may also be material for a subset of firms that operate in countries with intermediate and lower levels of inflation.     

有效预警上市公司违规的递延所得税异动指标和人工智能模型

2000-2017年,3434家A股上市公司样本中的47.79%至少有一次违规记录,每年平均有17%的公司违规,而监管机构平均需要2.7年查证并通告违规行为。我们用当年数据构建递延所得税异动指标,可有效预判违规,并发现监管机构未能识别这一指标的警示作用,实际激励了违规公司通过操纵递延所得税提高财务指标以规避稽查。进一步构建决策树模型,对违规事件实现样本外精准判别。本文揭示了A股公司大面积违规而稽查过程冗长迟缓这一重要现象,并分析了违规机制,指出了所得税数据在稽查违规中可以发挥的预警作用,为监管者和投资者提供有效预警上市公司违规行为的新指标和方法。     

有效预警上市公司违规的递延所得税异动指标和人工智能模型

2000-2017年,3434家A股上市公司样本中的47.79%至少有一次违规记录,每年平均有17%的公司违规,而监管机构平均需要2.7年查证并通告违规行为。我们用当年数据构建递延所得税异动指标,可有效预判违规,并发现监管机构未能识别这一指标的警示作用,实际激励了违规公司通过操纵递延所得税提高财务指标以规避稽查。进一步构建决策树模型,对违规事件实现样本外精准判别。本文揭示了A股公司大面积违规而稽查过程冗长迟缓这一重要现象,并分析了违规机制,指出了所得税数据在稽查违规中可以发挥的预警作用,为监管者和投资者提供有效预警上市公司违规行为的新指标和方法。     

Innovation in Stock Exchanges: Driving ESG Disclosure and Performance

Stock exchanges are in a unique position to promote ESG transparency and leverage their institutional capacity to build more sustainable capital markets. To facilitate the quick uptake of material ESG disclosure and raise the quality and comparability of the data, the Athens Stock Exchange has created ESG guidelines for listed companies that will be published in the summer of 2019. One important feature of the guidelines is their degree of sectoral specificity and emphasis on materiality. The guidelines and supporting metrics they propose are based on reporting practices endorsed by international sustainability standards like the SASB's industry standards. This materiality‐oriented approach will help issuers focus on the sustainability value drivers inherent in their business, and so ensure that corporate ESG disclosures satisfy the demand of investors for comparable quantitative and accounting metrics that help companies communicate their commitment to long‐term value creation.     

Qualitative audit materiality and earnings management

This study investigates auditors’ propensity to rely on quantitative materiality thresholds to the exclusion of qualitative materiality thresholds. Specifically, we examine whether auditors are more likely to allow earnings management that is less than typical quantitative materiality thresholds but that nonetheless is qualitatively material. We use changes in tax expense as a proxy for earnings management. Our results indicate that companies with pre-managed earnings that would have missed the consensus analyst forecast are more likely to decrease their tax expense when the magnitude of the decrease is less than quantitative audit materiality thresholds. The results also indicate that firms are more likely to meet or beat the forecast when the amount of earnings management necessary to meet the analyst forecast is less than quantitative materiality. These results are consistent with auditors relying on quantitative materiality thresholds to the exclusion of qualitative materiality thresholds, i.e., the importance of meeting or beating the analyst forecast. Finally, we find that the ability to use tax expense reduction within quantitative materiality to meet or beat analysts’ consensus forecasts was significantly reduced by the SEC’s guidance on materiality in SAB-99 and by the passage of the Sarbanes–Oxley Act.     

我国证券市场税收政策浅析

我国现行以证券交易印花税为主体的证券税制,在组织财政收入、调节证券市场、抑制过度投机等方面发挥了一定作用,但还存在一些不足之处。建议:进一步调整证券交易印花税的征收办法;建立一套系统、健全的证券税制;消除对公司和股东个人股、红利的重复征税;统一上市公司的企业所得税政策。     

Taxes and the global allocation of capital

Despite enormous growth in international capital flows, capital-output ratios continue to exhibit substantial heterogeneity across countries. We explore the possibility that taxes, particularly corporate taxes, are a significant source of this heterogeneity. The evidence is mixed. Tax rates computed from tax revenue are inversely correlated with capital-output ratios, as we might expect. However, effective tax rates constructed from official tax rates show little relation to capital—or to revenue-based tax measures. The stark difference between these two tax measures remains an open issue.     

Alternative measures of the Federal Reserve Banks’ cost of equity capital

The Monetary Control Act of 1980 requires the Federal Reserve System to provide payment services to depository institutions through the 12 Federal Reserve Banks at prices that fully reflect the costs a private-sector provider would incur, including a cost of equity capital (COE). Although Fama and French [Fama, E.F., French, K.R., 1997. Industry costs of equity. Journal of Financial Economics 43, 153–193] conclude that COE estimates are “woefully” and “unavoidably” imprecise, the Reserve Banks require such an estimate every year. We examine several COE estimates based on the CAPM model and compare them using econometric and materiality criteria. Our results suggest that the benchmark CAPM model applied to a large peer group of competing firms provides a COE estimate that is not clearly improved upon by using a narrow peer group, introducing additional factors into the model, or taking account of additional firm-level data, such as leverage and line-of-business concentration. Thus, a standard implementation of the benchmark CAPM model provides a reasonable COE estimate, which is needed to impute costs and set prices for the Reserve Banks’ payments business.     

Heterogeneity and Government revenues: Higher taxes at the top?

How effective is a more progressive tax scheme in raising revenues? We answer this question in a life-cycle economy with heterogeneity across households and endogenous labor supply. Our findings show that a tilt of the U.S. income tax schedule towards high earners leads to small increases in revenue. Maximal revenue in the long run is only 6.8% higher than in our benchmark – about 0.8% of initial GDP – while revenues from all sources increase by just about 0.6%. Our conclusions are that policy recommendations of this sort are misguided if the aim is to exclusively raise government revenue.     

Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach

We develop a state-of-the-art fraud prediction model using a machine learning approach. We demonstrate the value of combining domain knowledge and machine learning methods in model building. We select our model input based on existing accounting theories, but we differ from prior accounting research by using raw accounting numbers rather than financial ratios. We employ one of the most powerful machine learning methods, ensemble learning, rather than the commonly used method of logistic regression. To assess the performance of fraud prediction models, we introduce a new performance evaluation metric commonly used in ranking problems that is more appropriate for the fraud prediction task. Starting with an identical set of theory-motivated raw accounting numbers, we show that our new fraud prediction model outperforms two benchmark models by a large margin: the Dechow et al. logistic regression model based on financial ratios, and the Cecchini et al. support-vector-machine model with a financial kernel that maps raw accounting numbers into a broader set of ratios.     

重要性判断与会计信息披露——来自隐晦重述的证据

重要性是会计中的基础问题,是证券市场信息披露筛选过滤的门槛,重要性原则的不确定使得重要性概念极易被利用和操纵.然而,国内现有研究却鲜有关于重要性应用的经验证据.为此,本文以隐晦重述为研究对象,从财务报告披露环节的策略选择问题入手,揭示重要性判断在实务中的具体应用.研究发现:重要性门槛的不确定给公司战略性披露信息提供了机会,重述越重要,公司越倾向于隐晦披露,好的公司治理有助于改善重要性程度对隐晦重述的影响,提高信息披露的透明度.     

Benchmarking Risk Management Within the International Water Utility Sector. Part II: A Survey of Eight Water Utilities

Risk management in the water utility sector is fast becoming explicit. Here, we describe application of a capability model to benchmark the risk management maturity of eight water utilities from the UK, Australia and the USA. Our analysis codifies risk management practice and offers practical guidance as to how utilities may more effectively employ their portfolio of risk analysis techniques for optimal, credible, and defensible decision making. For risk analysis, observed good practices include the use of initiation criteria for applying risk assessment techniques; the adoption of formalised procedures to guide their application; and auditing and peer reviews to ensure procedural compliance and provide quality assurance. Additionally, we have identified common weaknesses likely to be representative of the sector as a whole, in particular a need for improved risk knowledge management and education and training in the discipline.     

Abolishing the Tax‐Free Threshold in Australia: Simulating Alternative Reforms*

This paper examines the role of the tax‐free income tax threshold in a complex tax and transfer system consisting of a range of taxes and benefits, each with its own taper rates and thresholds. Considering a tax and benefit system with benefit taper rates whereby some benefits are received by income groups other than those at the bottom of the distribution, it is suggested that a tax‐free threshold is not a necessary requirement to achieve redistribution. Four alternative policy changes, each involving the elimination of the tax‐free threshold in Australia and designed to achieve approximate revenue neutrality, were examined using the Melbourne Institute Tax and Transfer Simulator. A range of implications were examined, including labour supply responses to tax changes and the effects of policy changes on inequality and social welfare. The results demonstrate that it is possible to eliminate the tax‐free threshold under approximate overall revenue and distribution neutrality, but that it is impossible to improve labour supply incentives at the same time. In order to achieve improved incentives, either revenue or distribution neutrality has to be sacrificed.