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This paper provides a review and synthesis of past research regarding financial disclosure management by nongovernmental nonprofit organizations and suggests directions for future study. The primary purpose of this review is to summarize the evidence on financial disclosure management to help regulators and other stakeholders understand why, how, and to what extent nonprofits engage in this behavior. The paper begins by defining disclosure management in nonprofit organizations and exploring the motivations for why it might occur. Next is a survey of the nongovernmental nonprofit financial reporting environment: objectives, common practices, and the informational needs of users of nonprofit financial reports. Research exploring the motives, methods, and consequences of disclosure management is summarized. The evidence suggests that nongovernmental nonprofit managers have a variety of incentives to manage reported numbers and that they do in fact alter spending decisions, choose accounting methods, and design cost allocations to achieve certain performance benchmarks. Furthermore, this review sheds light on the consequences of disclosure management and what can or should be done to limit it.

The conceptual problem associated with marketing productivity analysis is examined followed by an examination of currrent practice in marketing productivity in the following areas — on the product line, in advertising and promotional mix, in the salesforce, in distribution and in customer activity tracking. It provides UK companies with some guidance on how they can improve their performance measurement using marketing information systems and reorganising existing information for more effective marketing action. The research concentrates on 50 well‐known British companies in oil, chemicals, various engineering disciplines, food, pharmaceuticals, insurance, construction and chain‐store retailing. The findings are based on 28 viable responses, and a further 21 (different) responses from companies which were personally visited. Although the research techniques need to be refined they conclude that the management of resources invested in marketing activities can never be refined to the point where an incremental investment in any specific marketing application can be measured with great accuracy. Yet a great deal of measurement is possible and marketing managers can be well enough informed about the behaviour of marketing inputs so that allocation decisions in future periods will benefit.?

Construction businesses are perceived uncertainly by investors, and are generally assumed to represent more risk than other businesses. Added to this is the perception of poor business management practices being adopted by construction companies, sometimes resulting in business‐failure. Fluctuations in construction workload contribute to investor anxiety. In this light, the paper aims to present a study of the comparative management efficiency performance of construction companies.

Publicly listed Australian construction companies over the ten‐year period 1998‐2007 are examined. Performance is compared with a select number of “blue chip” companies as a benchmark. In total, 19 management efficiency measures are used including asset management ratios, debt and safety ratios, and cash flow ratios. The construction companies used in the study engage in work covering the full range of construction activities.

The results indicate that construction companies perform as well as, and in some cases better than, other businesses, dispelling some of the misconceptions about construction businesses.

The paper's finding will be useful to those investing in the construction industry, and will lead to a better public perception of construction businesses.

Presents a case study demonstrating financial statement ratio analysis (FSRA). This analysis matches company to industry data and builds sales forecasting models. FSRA imputes forecast standards of sales and costs, and applies them to a budgeted financial statement variance analysis for the EE (electronic and electrical) industry. Develops the concept of industry base standards, integrating them into the more traditional statistical and accounting concepts of quality control standards. Provides an implementation example, and reviews possible improvements to the current methodology and approach. Uses a similar methodology to forecast the stock market value with some exceptions. Models sales and costs of an individual company and an industry based largely on aggregate industry databases. For this purpose, uses a multivariate linear trend regression analysis for the sales forecasting model. Defines and tests related hypotheses and evaluates their significance and confidence levels. For an illustration uses the EE industry and the APM company. Also demonstrates a microcomputer‐based FSRA software that speeds, facilitates, and helps to accomplish the stated objectives. The FSRA software uses industry financial statement databases, computes financial ratios and builds forecasting models.

This paper aims to examine the extent of financial ratio communication from an agency theory perspective.

An empirical positivist approach is utilised to explore the predictors of disclosure within the 2007 annual reports of 300 Australian listed companies.

Overall, the extent of financial ratio disclosures is very low (5.3 per cent) with more extensive disclosures within the sub‐categories of share market measure, profitability and capital structure. A far lower liquidity and cash flow ratio information is reported. Larger firms with more dispersed share ownership provide more extensive financial ratio information than the others. Further, profit‐making firms and Big4 clients exhibit more extensive financial ratio disclosures. Resources firms present significantly lower incidents of financial ratio than the financials and services sector. Corporate governance and capital management initiatives do not have predictive properties.

Financial ratio disclosure, although important, is under‐researched. A comprehensive set of predictors are investigated. The findings highlight the need for Australian regulators to consider more explicit guidelines or mandatory requirements.

The present study investigates whether companies that exhibit high performance characteristics in the pre-financial crisis period can maintain their high performance in the financial crisis period of 2007–2009 and, in particular, the post-financial crisis period of 2010–2011.

The current study of 1,473 companies in 25 countries and 66 industries (MSCI index) (1) extends the empirical research of prior studies through the year 2011; (2) identifies the operating characteristics (performance drivers and performance measures) and associated risk factors which were most critical with regard to sustaining, exiting, and entering HPC companies during the five 10-year periods since 1998–2007, and (3) summarizes conclusions about HPC results from the 13 ten-year periods (1989–1998 to 2002–2011) in this stream of research.

(1) Companies that sustain high performance over periods of financial stress clearly excel in asset turnover performance driver and on the performance measures of growth in revenues, profit margin, return on equity and return on assets. Sustaining HPC had less debt than other companies and consistent cash flow yields. Operating turnover ratios became less important in recent years as an indicator of high performance. (2) Although exiting companies maintained profitability, financial risk and liquidity, the key factor in their dropping out of HPC status is their failure to grow revenues. (3) Entering companies did not exhibit the superior performance in all categories.

The results provide strategic direction for management of companies that aspire to HPC status and to maintain HPC status once gained, particularly in times of global financial stress.

The purpose of the paper is to investigate the extent to which a model based on financial and non-financial variables predicts auditors' decisions to issue qualified audit reports in the case of companies listed on the Tehran Stock Exchange (TSE).

The authors utilized data from the financial statements of 96 Iranian firms as the sample over a period of five years (2012–2016). A total of 480 observations were analysed using a probit model through 11 primary financial ratios accompanying non-financial variables, including the type of audit firm, auditor turnover and corporate performance, which affect the issuance of audit reports.

The results demonstrated high explanatory power of financial ratios and type of audit firm (the national audit organization vs other local audit firms) in explaining qualifications through audit reports. The predictive accuracy of the estimated model is evaluated using a regression model for the probabilities of qualified and clean opinions. The model is reliable, with 72.9% accuracy in classifying the total sample correctly to explain changes in the auditor's opinion.

This study contains some limitations. First, it is likely that similar researches in developed countries set a large sample (e.g. over 1,000 firms) including more years, but the authors cannot follow such a trend due to data access restrictions. Second, banks and financial institutions, investment and holding firms are removed from the sample, because their financial structure is diverse. The third limitation of the study represents the different economic and cultural conditions of Iran compared to other countries. Future studies could focus on internal control material weaknesses or earnings management to predict audit opinion in emerging economies including Iran.

The paper has practical implications and can assist auditors in identifying factors motivating audit report qualifications, mainly in emerging economies.

The paper contributes to auditing research, since very little is known about the determinants of audit opinion in emerging markets including Iran; it also constitutes an addition to previous knowledge about audit opinion in the context of TSE. The paper is one of the rare studies predicting auditor opinions using both financial variables and non-financial metrics.

This paper aims to contribute to the existing capital structure and board structure literature by examining the relationship among corporate governance, ownership structure and capital structure.

The paper uses a panel data of 595 firm-year observations from a unique and comprehensive data set of 119 Chinese real estate listed firms from 2014 to 2018. It uses fixed effect and random effect regression analysis techniques to examine the hypotheses.

The results show that the board size, ownership concentration and firm size have positive influences on capital structure. State ownership and firm profitability have inverse influences on capital structure.

The findings suggest that better-governed companies in the real estate sector tend to have better capital structure. These findings highlight the unique Chinese context and also offer regulators a strong incentive to pursue corporate governance reforms formally and jointly with the ownership structure. Finally, the results suggest investors the chance to shape detailed expectations about capital structure behavior in China. Future research could investigate capital structure using different arrangement, conducting face-to-face meetings with the firm’s directors and shareholders.

The findings offer support to corporate managers and investors in forming or/and expecting an optimal capital structure and to policymakers and regulators for ratifying laws and developing institutional support to improve the effectiveness of corporate governance mechanisms.

This paper extends, as well as contributes to the current capital structure and corporate governance literature, by proposing new evidence on the effect of board structure and ownership structure on capital structure. The results will help policymakers in different countries in estimating the sufficiency of the available corporate governance reforms to improve capital structure management.

The purpose of this paper is to investigate donor responses to discretionary accounting information consolidation. Nonprofit (NP) financial statement consolidation discretion significantly impacts program ratio reporting, the primary NP performance measure. Stakeholders are misled to allocate limited resources inefficiently. While some NPs file group Internal Revenue Service (IRS) Form 990 returns with their affiliates, effectively providing consolidated statements, others choose to file independently of their affiliates.

The authors use OLS regression analysis and panel data for 5,697 NP-year observations for the period 2009-2011 retrieved from the National Center for Charitable Statistics Form 990 database.

The authors find evidence that consolidation discretion substantially impacts donor decisions. NP managers have incentive to utilize consolidation discretion to influence charitable giving.

The authors urge the IRS and the Financial Accounting Standards Board to reconsider the consolidation guidance for NP organizations, to develop performance measures beyond the widely used program ratio, and to require program ratio segment reporting to allow for better comparability among NPs irrespective of consolidation status. Further, the authors caution stakeholders to consider supporting organization transactions in their resource allocation decisions.

The authors are the first to use NP supporting organization information to investigate consolidation discretion and its impact on donor responses.

After completion of the case, students will be able to understand the following: how to understand financial statements, income statements and cash-flow statements with the help of ratios; understand the concept of shareholding pattern along with different entities, namely, non-promoters, foreign institutional investor, domestic institutional investor and others; financial ratio analysis with traditional DuPont and extended DuPont analysis; understand the differences between comparable firms; how to analysis return, risk, covariance, correlation, market risk and capital assets pricing model (CAPM) and how to suggest an appropriate investment strategy.

The case presents company background and financial statements of four companies listed under departmental stores in India, namely, Vmart retail, V2 retail, Avenue Supermarts (known as DMart) and future retail. Students are asked to determine, which company is performing better to make a recommendation for investment. Students learn the tools of financial ratio i.e. profitability, efficiency, liquidity and market-based ratio along with the traditional DuPont decomposition and the extended DuPont analysis. Students also learn how to measure stock return, standard deviation, covariance, correlation, market risk and CAPM.

This case is suitable for management accounting, financial analysis and security analysis and portfolio management courses at the post-graduate or graduate levels. The case can be used in similar courses such as in financial statement analysis courses or security analysis and portfolio management courses.

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CSS: 1 Accounting and finance.