The impact of perceived environmental uncertainty and individual differences on management information requirements: A research note

In this study it is hypothesised that as perceived environmental uncertainty (PEU) increases, internals on the Locus of Control (LOC) scale will perceive information that has wider scope and is timely to be more useful than do externals on the LOC scale. Results indicate a significant effect but in a direction opposite to that expected. Externals, not internals, found information more useful when faced with higher uncertainty. It is suggested that the source rather than the relevance of the information, as was predicted, may have contributed to this result. The study is significant because it supports the need to consider personality and environmental factors together.     

How to trust? The importance of self‐efficacy and social trust in public responses to industrial risks

Although a great deal of research has linked both self‐efficacy and social trust to risk responses, one overlooked question concerns the association between self‐efficacy and institutional trust. The purpose of this study was to investigate the main and combined effects of trust in the self and trust in responsible agencies to affective responses and information sufficiency. Survey respondents in this study were placed into one of four categories based on their levels of self‐efficacy (high/low) and social trust (high/low), including confidence, independence, dependence and insecure groups. Based on survey data (n = 466), the accuracy of the four‐group classification was tested. Indeed, we found that our classification system correlated with responses. Both self‐efficacy and institutional trust were found to contribute to emotional risk responses, as well as risk information needs and preferences for risk information.     

Beyond accounting and back: An empirical examination of the relative relevance of earnings and “other” information

Ohlson (1995) models firm value as a function of book value, earnings, and analysts' earnings forecasts which capture “other” information not yet reflected in the financial statements. Within this framework, stock returns reflect information from earnings and forecasts, each of which is different in terms of reliability and timeliness. For the period 1984–2012, this paper examines time trends and the influence of aggregate market conditions on the relative relevance of earnings and forecasts. In this context, relative relevance is defined as the incremental explanatory power of earnings or forecasts, relative to their combined explanatory power with respect to the cross-section of stock returns. This inquiry is motivated by anecdotal evidence and recent research, which suggests that aggregate market conditions influence the usefulness of accounting information for investors. The findings show that while the relative relevance of earnings has remained stable, the relative relevance of forecasts has increased over time. I also find that the relative relevance of earnings is higher in bad years, i.e. years with low market returns or elevated market uncertainty. Overall, the results reported in this study suggest that despite the increase in the relevance of timely “other” information, investors tend to rely more on reliable accounting information during bad years.     

An empirical study on the drivers of management control systems' design in new product development

New product development has changed significantly over the last decade and management control systems have played an important role in this transformation. This study draws on Galbraith's concept of uncertainty and investigates the relationship between project uncertainty, product strategy and management control systems. It also explores whether these systems help or, as argued in the innovation literature, hinder product development performance. Results support the relevance of the project uncertainty and product strategy to explain the design of management control systems. They also show that better cost and design information has a positive association with performance, but that time information has a negative effect.     

A Study of the Teaching Reform of the Course "Public Department Human Resources Management"

《公共部门人力资源管理》课程是为了培养和提高学生能够充分利用理论知识,熟练解决公共部门人力资源管理实际问题的能力。由于当前高校在教师、教材、学校等各方面的原因,教学中普遍存在教学内容与社会脱节、教学方法单一、考试制度僵化等问题。本文通过对当前公共部门人力资源管理教学中存在问题的分析,从教材、教师、教学方法、考试制度等方面提出了公共部门人力资源管理课程教学改革的建议。     

Industry upheaval and valuation: Empirical evidence from the international oil and gas industry

Accounting literature suggests that contemporaneous earnings are more useful than current operating cash flow in predicting future cash flows and, therefore, also more relevant for company valuation. However, recent research indicates that elevated levels of merger and acquisition activity or a changing economic environment may reduce the value relevance of earnings. Using the oil and gas industry as a case, this paper examines how the oil industry upheaval in the late 1990s influenced the value relevance of financial statement information. We extend the literature by testing for a structural shift in the equity market valuation process. Our results provide evidence of a structural break in the value relevance of accounting information. In contrast to prior research, we find that the value relevance of cash flows actually decreased in the recent oil industry upheaval. On the other hand, the value relevance of book equity increased. Furthermore, we find that accounting-method choice (full cost versus successful efforts) affects the value relevance of accounting information.     

Qualidade da informação contábil em empresas familiares: influência dos níveis diferenciados de governança da BM&FBovespa,tamanho e independência do conselho de administração

The study aimed to analyze between families of different economic sectors of the BM&FBovespa Brazilian companies are those listed in different levels of governance, boards of smaller and independent directors had a better quality of accounting information. Quantitative research conducted with 96 family companies. To analyze the quality of information, we used four characteristics: (Bushman et al., 2004) persistence of the results and cash flow (Dechow e Schrand, 2004), conservatism (Ball e Shivakumar, 2005) and opportunity; relevance (Ohlson, 1995). In relation to corporate governance, it is concluded that the adoption of different levels of governance BM&FBovespa and greater independence of the board influence to greater persistence, conservatism, opportunism and relevance of accounting information occurs. However, it was not possible to conclude that the size of the board influences the quality of accounting information.     

THE UNDERPRICING OF “SECOND” INITIAL PUBLIC OFFERINGS

The underpricing of initial public offerings (IPOs) of equity represents a well-documented empirical phenomenon. One prominent explanation for this underpricing relies on the uncertainty investors feel about the value of the issuer. In this paper, this asymmetric information hypothesis is tested by examining the underpricing of IPOs of seventy-four firms for which the uncertainty about the value of the firm is likely to be substantially reduced. These firms were once publicly owned, then taken private, and subsequently returned to public ownership. Findings show that the IPOs of these “reverse leveraged buyouts” are significantly less underpriced than typical IPOs. These results support the asymmetric information hypothesis.     

The Relation Between SFAS No. 95 Cash Flows From Operations and Credit Risk

This study examines the relevance of Financial Accounting Standards (SFAS) No. 95 operating cash flow disclosures for assessing a primary component of firm risk, namely credit risk. We find that SFAS No. 95 operating cash flows is an important determinant of credit risk, measured by debt ratings, incremental to other profitability and risk–related information. We also find that operating cash flows have a stronger incremental relation to credit risk for firms with a larger proportion of long–term debt and larger firms with lower operating uncertainty. Interestingly, cash flows appear to have less incremental importance for firms in high tech and regulated industries.     

Aggregate uncertainty and the supply of credit

This paper presents a model in which a bank can exhibit self-insurance with loan supply contracting when uncertainty increases. This prediction is tested with U.S. commercial banks, where identification is achieved by looking at differential effects according to banks’ capital-to-assets ratio (CAR). Increases in uncertainty reduce the supply of credit, more so for banks with lower levels of CAR. These results are weaker for large banks, and are robust to controlling for monetary policy, to different measures of uncertainty, and to breaking the dataset in subsamples. Quantitatively, the effect of uncertainty shocks on credit supply is about as important as that of monetary policy shocks.     

Information uncertainty,investor sentiment,and analyst reports

This study investigates the relationships among information uncertainty, investor sentiment, analyst reports, and stock returns in a unified framework. The effects of analyst reports on stock returns depend on the degrees of information uncertainty, indicating that recommendation upgrades (downgrades) convey more valuable positive (negative) information under higher information uncertainty. Such stock market reactions are significantly explained by investor sentiment when information uncertainty is high. Our empirical findings are robust to changes in abnormal return measures and information uncertainty proxies.     

Changes in the value relevance of accounting information over time: Evidence from the emerging market of China

We investigate the changes in the value relevance of accounting information among Chinese firms over the past two decades, during which accounting reforms are launched to provide decision makers with increased disclosure and higher quality financial information. We also investigate the factors that differentiate firms showing significant value relevance improvement from firms showing little improvement. We find increases in the value relevance of some financial variables and decreases in others, which suggests that accounting numbers help to explain the pricing process of stock shares although at different levels. In addition, we find that value relevance improvements are more pronounced for smaller firms, firms with lower growth rates, and those with greater asset tangibility. We also document that value relevance improvements are generally lower in an exuberant stock market. These results have implications for a variety of information users and policy makers in emerging countries which are reforming their accounting systems.     

Accounting Treatment of Inherent versus Incentive Uncertainties and the Capital Structure of the Firm

This paper studies the accounting treatment of uncertainty and how it affects a firm's capital structure. We distinguish two sources of uncertainty that raise reliability concerns: inherent uncertainty and incentive uncertainty. By inherent uncertainty, we refer to uncertainty about the quality of raw information regarding future cash flows. By incentive uncertainty, we refer to uncertainty about the quality of accounting numbers conveying the raw information. We explore features of accounting that can effectively deal with these two types of uncertainties in order to aid in the debt‐equity decision of the firm. To handle inherent uncertainty, preferable accounting involves flexible revenue/expense recognition rules that recognize more profit when the uncertainty level is low. To deal with incentive uncertainty, a stringent revenue/expense recognition rule may be desirable to fend off management's opportunistic reporting behavior. Inflexible accounting rules cause a firm's financing choices to deviate from what would hold with complete information. Given any accounting rule, an information environment with a lower (higher) uncertainty regarding future cash inflows leads to higher (lower) expected debt financing. This is because assessed default risk is increasing in the uncertainty of future cash inflows, holding the uncertainty of the outflows constant.     

Changes in the value relevance of research and development expenses after IFRS adoption

We investigate whether the nature of differences between national GAAP and IFRS is associated with differential changes in the value relevance of R&D expenses after the adoption of IFRS across countries. Using a difference-in-differences study on a sample of public companies in nine countries that covers pre-IFRS and post-IFRS periods during 1997–2012, we find that the value relevance of R&D expenses declines after IFRS adoption in countries that previously mandated immediate expensing or allowed optional capitalization of R&D costs. On the contrary, there is no change in the value relevance of R&D expenses for countries that switched from the mandatory capitalization rule to IFRS. We also investigate the moderating effects of national institutions on the changes in the value relevance of R&D expenses after IFRS adoption. We find that in countries with stronger investor protection, the changes in the value relevance of R&D expenses are larger. In addition, changes in the value relevance of R&D expenses are smaller for countries whose national culture is characterized by higher uncertainty avoidance. Our findings highlight the importance of both accounting standards and national institutions in explaining the changes in the value relevance of accounting information after IFRS adoption.     

Measurement Model or Asset Type: Evidence from an Evaluation of the Relevance of Financial Assets

This study focuses on the operation of the Level 1, 2, and 3 measurement uncertainty hierarchy embedded in the SFAS 157 accounting for financial assets. Prior studies conclude the SFAS 157 fair value measurement model and prevailing financial market conditions are causal factors for the lower value relevance of the Level 3 financial assets. The contribution of our paper is to provide evidence on an additional, hitherto undocumented source of measurement uncertainty impacting the relevance of SFAS 157 financial assets to investors: the type of asset appearing in Level 3 financial assets as a result of asset securitizations and SFAS 140 securitization accounting. The paper also presents evidence that suggests the SFAS 166 amendments were unable to fully address informational transparency for financial assets arising from securitizations. The key contribution is evidentiary insights suggesting the prescribed measurement model has a relatively lower impact on measurement uncertainty and relevance of financial assets compared to the effects of the asset type.     

Does the market value greenhouse gas emissions? Evidence from multi-country firm data

Despite increasing global attention on corporate carbon emissions, few studies have examined the value relevance of carbon emission information in the international context. This paper examines whether carbon emission information voluntarily disclosed by a firm affects its market value. After controlling for a firm's likelihood to provide voluntary carbon disclosures, we find that the level of carbon emissions is negatively related to firm value. This negative impact is more prominent for firms in countries that have a national carbon emission trading scheme and stringent environmental regulations. Furthermore, corporate governance is found to reduce the negative value effect of carbon emissions, indicating that shareholders have favorable perceptions regarding the carbon management ability of firms with good corporate governance. Cultural contexts such as uncertainty avoidance and long-term orientation also affect the value effect of risks and future liabilities associated with carbon emissions. We find that the value-decreasing effect of carbon emissions is weaker in countries characterized by high uncertainty avoidance and long-term orientations.     

Policy uncertainty and seasoned equity offerings methods

Based on a sample of U.S. seasoned equity offering (SEO) during the period 2002–2017, we examine how the choice of equity issuance method changes in response to policy uncertainty. We find that firms subject to high policy uncertainty are less likely to use accelerated offerings rather than other types of traditional seasoned equity offerings. Our results are robust to alternative variable specifications, propensity score matching method, IV approach, and the inclusion of additional controls. Also, the effect of policy uncertainty on accelerated offering decision is weaker for firms with better information environment, earnings quality, and governance structures. Further, policy uncertainty increases the cost of funds and lowers long-run abnormal returns after SEOs for firms subject to high levels of policy uncertainty.     

The joint information role of analysts’ cash flow and earnings forecasts

We study whether the relative magnitudes of analysts’ cash flow and earnings forecasts convey information about the persistence and value relevance of reported earnings. We find that reported earnings are likely to be more (less) persistent and value relevant when analysts forecast relatively moderate (extreme) levels of operating cash flows, relative to earnings. We also find that the market’s response to a given earnings surprise is the strongest for moderate levels of cash flow forecasts relative to earnings. The joint information role of analysts’ cash flow and earnings forecasts persists even after controlling for the absolute accruals in the model.     

Model uncertainty and VaR aggregation

Despite well-known shortcomings as a risk measure, Value-at-Risk (VaR) is still the industry and regulatory standard for the calculation of risk capital in banking and insurance. This paper is concerned with the numerical estimation of the VaR for a portfolio position as a function of different dependence scenarios on the factors of the portfolio. Besides summarizing the most relevant analytical bounds, including a discussion of their sharpness, we introduce a numerical algorithm which allows for the computation of reliable (sharp) bounds for the VaR of high-dimensional portfolios with dimensions d possibly in the several hundreds. We show that additional positive dependence information will typically not improve the upper bound substantially. In contrast higher order marginal information on the model, when available, may lead to strongly improved bounds. Several examples of practical relevance show how explicit VaR bounds can be obtained. These bounds can be interpreted as a measure of model uncertainty induced by possible dependence scenarios.     

High-Technology Intangibles and Analysts' Forecasts

This study examines the association between firms' intangible assets and properties of the information contained in analysts' earnings forecasts. We hypothesize that analysts will supplement firms' financial information by placing greater relative emphasis on their own private (or idiosyncratic) information when deriving their earnings forecasts for firms with significant intangible assets. Our evidence is consistent with this hypothesis. We find that the consensus in analysts' forecasts, measured as the correlation in analysts' forecast errors, is negatively associated with a firm's level of intangible assets. This result is robust to controlling for analyst uncertainty about a firm's future earnings, which we also find to be higher for firms with high levels of internally generated (and expensed) intangibles. Given that analyst uncertainty increases and analyst consensus decreases with the level of a firm's intangible assets, we also expect and find that the degree to which the mean forecast aggregates private information and is more accurate than an individual analyst's forecast increases with a firm's intangible assets. Finally, additional analysis reveals that lower levels of analyst consensus are associated with high-technology manufacturing companies, and that this association is explained by the relatively high R&D expenditures made by these firms. Overall, our results are consistent with financial analysts augmenting the financial reporting systems of firms with higher levels of intangible assets (in terms of contributing to more accurate earnings expectations), particularly R&D-driven high-tech manufacturers.