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This study aims to examine the mediating role played by corporate governance (CG) in the relationship between corporate social responsibility (CSR) and analyst forecast quality.

The authors raise three specific questions: Does CG play a mediating role in the relationship between CSR and analyst forecast quality? If so, is such mediation effect of CG reduced for firms with weak governance? Do firms with superior CSR performance experience higher analyst forecast quality through the mediation effect of CG?

The present results suggest that CG serves as a partial mediator that facilitates CSR’s positive influence on analyst forecast quality. However, further analyses show that in firms with a low governance score, CG does not have a mediation effect. Conversely, the authors find that firms with superior CSR performance have higher forecast quality through the mediation effect of CG. The authors also find that the mediation effect of CG is more pronounced for the environmental component than for the social component of CSR.

To the best of the authors’ knowledge, this study is the first to investigate the role of CG as a mediator between CSR and analyst forecast quality and to reveal that the strength of this effect varies depending on firms’ CG level and CSR commitment.

This study aims to explore the relationship between product market competition (competition hereafter) and the quality of analysts’ forecasts.

This study uses industry-level (i.e. Herfindahl–Hirschman index), as well as firm-level (i.e. Lerner index) measures of competition and uses forecast accuracy and forecasts dispersion as proxies for analysts’ forecast quality. Further, this study considers a sample of Chinese-listed manufacturing companies for the period spanning 2005 to 2016 and uses various estimation techniques to empirically test the hypothesized relationship.

The results show that firms in highly competitive industries are characterized by greater accuracy and smaller dispersion in forecasts. Further, this positive association is more pronounced in SOEs as compared to NSOEs, and in industries characterized by intense competition. The sensitivity analysis further endorses the main results.

Presenting theoretical and empirical evidence, this study suggests that regulatory bodies should take steps to promote the competitive environment in China. This can help financial analysts in developing more accurate and reliable forecasts and ultimately can bring informational efficiency to the market. Finally, investors would be able to perform their business valuation process in a better way and make economic-useful decisions regarding their capital resource allocation.

The contribution of the current research is threefold: first, it adds to the limited literature available on this specific topic; second, this study examines the issue in China and further single out the influence of state-ownership and intensity of competition on the relation between competition and forecast properties; and third, this study provides theoretical arguments for the positive association between competition and forecasts quality while setting directions for future research on the topic and suggests the potential channels such as the reporting quality channel and the information disclosure channel that need to be explored further, to better understand the mechanism where competition influences the quality of analysts’ forecasts.

The purpose of this paper is to examine whether analysts’ cash flow forecasts improve the profitability of their stock recommendations and whether the positive effect of cash flow forecasts on analysts’ stock recommendation performance varies with firms’ earnings quality.

To test the authors’ predictions, they identify a sample of 161,673 stock recommendations with contemporaneous earnings forecasts and/or cash flow forecasts and regress market-adjusted stock returns on a binary variable that proxies for the issuance of cash flow forecasts while controlling for contemporaneous earnings forecast accuracy, earnings quality, analysts’ forecast experience and capability and certain firm characteristics. The authors’ test results are robust to alternative measures of recommendation profitability, earnings quality and the use of recommendation revisions instead of recommendation levels.

The authors find that when analysts issue cash flow forecasts concurrently with earnings forecasts, their stock recommendations lead to higher profitability than when they only issue earnings forecasts, after controlling for analysts’ forecast capability. Moreover, the authors document that the contemporaneous positive relationship between cash flow forecasts and recommendations profitability is stronger for firms with low earnings quality than for firms with high earnings quality. The findings suggest that cash flow forecasts issued by analysts in response to market demand likely play a more important role in firm valuation than cash flow forecasts issued by analysts mainly because of supply-side considerations.

Future research could build on these findings to conduct further investigation on the alternative incentives for analysts’ forecasts of sales growth and long-term growth rates.

These findings may also help investors to better assess the quality of analysts’ research outputs and to identify superior stock recommendations.

This study provides insight into the role of cash flow forecasts in firm valuation and adds fresh evidence to the debate on the usefulness of cash flow forecasts. It extends the stream of research on the characteristics of analyst forecasts and increases our knowledge about the role of analysts in the financial market.

This paper aims to examine the effect of audit quality of consolidated financial statements on the accuracy of analysts’ earnings forecasts from the viewpoint of users of financial statements.

This paper investigates the effect of dependence on the work of other auditors on error in analysts’ earnings forecasts based on samples from 2011 to 2012 (the period since implementation of the International Financial Reporting Standards in Korea). In addition, this paper examines the effects of use of Big 4 auditors, use of auditors with industry expertise and the proportion of overseas subsidiaries in relation to all subsidiaries on the association between dependence on the work of other auditors and error in analysts’ earnings forecasts.

This paper finds a positive relation between dependence on the work of other auditors and error in analysts’ earnings forecasts, suggesting that more dependence on the work of other auditors decreases the quality of the audit of consolidated financial statements; thus, to the extent that low-quality audits decrease reporting reliability, analysts’ forecasts are less likely to be accurate. This paper also finds that the positive relationship between dependence on the work of other auditors and error in analysts’ earnings forecasts is weakened when the principal auditor is a Big 4 auditor or one with industry expertise, because such auditors provide higher-quality audit services. However, the positive relationship between dependence on the work of other auditors and error in analysts’ earnings forecasts is further strengthened in cases where the proportion of overseas subsidiaries to all subsidiaries is higher. These results suggest that the complexity of the consolidation process increases as the proportion of overseas subsidiaries increases.

The findings are useful in analyzing the effects of adoption of the New ISA, implemented in 2014, which does not allow the division of audit responsibilities between principal auditors and other auditors. This paper also provides insights for regulators and practitioners to improve the auditor appointment system in the future.

The purpose of this study is to examine the sophistication (accuracy, bias, informativeness for changes in accruals) and market pricing of analysts’ cash flow forecasts for Eurozone listed firms and the effects of financial distress and auditor quality.

Accuracy/bias is investigated using analysts’ cash flow forecast errors. The naïve extrapolation model is used to examine the forecasts’ informativeness for working capital changes. A total return model is used to examine value-relevance. This study controls for the forecast horizon, using the Altman z-score and a BigN/industry specialization auditor indicator to proxy for distress and auditor quality, respectively.

Analysts efficiently adjust earnings forecasts for depreciation during cash flow forecast formation but fail to efficiently incorporate working capital changes. Findings indicate cash flow forecasts’ accuracy improves for distressed firms and firms of high auditor quality, attributed to analyst conservatism and accounting choices and more accurate earnings forecasts, respectively. Cash flow forecasts’ value-relevance increases for distressed firms, particularly those of high auditor quality and timely forecasts.

To the best of the authors’ knowledge, this study is the first to examine analysts’ cash flow forecasts taking into consideration financial distress and auditor quality, controlling for the analyst forecast horizon.

The authors provide a general framework of behavior under asymmetric information and develop indices of diligence, objectivity and quality by an analyst and analyst firm about a studied firm, and relate them to the accuracy of its forecasts. The authors test the associations of these indices with time.

The test of Public Information versus Non-Public Information Models provides the index of diligence, which equals one minus the p-value of the Hausman Specification Test of Ordinary Least Squares (OLS) versus Two Stage Least Squares (2SLS). The test of Objectivity versus Non-Objectivity Models provides the index of objectivity, which equals the p-value of the Wald Test of zero coefficients versus non-zero coefficients in 2SLS regression of the earnings forecast residual. The exponent of the negative of the standard deviation of the residuals of the analyst forecast regression equation provides the index of analytical quality. Each index asymptotically equals the Bayesian ex post probability, by the analyst and analyst firm about the studied firm, of the relevant behavior.

The authors find that ex post accuracy is a statistically and economically significant increasing function of the product of the indices of diligence, objectivity and quality by the analyst and analyst firm about the studied firm, which asymptotically equals the Bayesian ex post joint probability of diligence, objectivity and quality. The authors find that diligence, objectivity, quality and accuracy did not improve with time.

There has been no previous work done on the systematic and objective characterization and joint analysis of diligence, objectivity and quality of analyst forecasts by an analyst and analyst firm for a studied firm, and their relation with accuracy. This paper puts together the frontiers of various disciplines.

The purpose of this paper is to examine whether the institutional changes accompanying the passage of the Sarbanes-Oxley Act of 2002 (SOX) have standardized the audit’s role in the overall financial reporting process, thereby reducing the impact of auditor characteristics on financial reporting quality.

To test this hypothesis, the association between audit quality characteristics (auditor size and industry expertise) and measures of financial reporting quality (analyst earning forecast dispersion and accuracy) are estimated using regression analysis. Results of this analysis are compared across the pre- and post-SOX periods.

The results of the study document a significant relationship between auditor size (Big N vs non-Big N) and financial reporting quality (as proxied by analyst earnings forecast properties) during the pre-SOX period but not in the post-SOX period. Auditor industry expertise is significantly associated with financial reporting quality throughout the entire sample period. Thus, financial reporting quality continues to be dependent on the degree of specialization of an audit firm in both the pre- and post-SOX periods; however, the impact of auditor size as a surrogate for quality has diminished.

The SOX Act of 2002 represented one of the most significant changes in the regulation of audits. This paper adds to the literature by examining the Act’s effects on financial professionals’ perception of the impact of audit firm characteristics on their client’s financial reporting quality.

The purpose of this paper is to investigate the effect of non-articulation on analyst earnings forecast quality. The authors look for evidence on the relationship between non-articulation and analyst earnings forecast properties: forecast inaccuracy, forecast dispersion and forecast bias.

The empirical tests are primarily based analyst earnings and cash flow forecasts covered by Institutional Broker Estimate System and financial statement information obtained from Compustat North America database.

The authors hypothesize and find that non-articulation is positively related to analyst forecast dispersion, forecast accuracy and forecast bias for one-year ahead of earnings. The effects of non-articulation on analyst earnings forecast inaccuracy and bias are neutralized when the analyst issues a cash flow forecast and when such forecast provides accurate information regarding the forecasted firm’s operating cash flow. On the other hand, cash flow forecast issuance alone does not mitigate the negative influence of non-articulation.

The sample selection procedure limits the generalizability of the findings.

The findings confirm CFA Institute and prior research asserting that non-articulation deteriorates the quality of earnings forecasts by financial statement users (more specifically, the financial analysts). The authors add to the literature by documenting that accurate cash flow forecasts help analysts mitigate the negative influence of non-articulation on earnings forecast quality.

It remains an empirical question whether non-articulation between the balance sheet and the statement of cash flows has an effect on financial statement users’ ability to assimilate financial information. The paper highlights the detrimental effect of non-articulation by documenting the relationship between the non-articulation and the quality of earnings expectation.

The purpose of this study is to examine the effect of integrated reporting (IR) quality on both market liquidity and analyst forecast accuracy in South Africa as the only country in the world having IR as a listing requirement. This study uses the Sustainability Disclosure Transparency Index (SDTI) as a proxy for IR disclosure quality. The analysis of this study is based on the period after the publication of the international framework and its adoption by the International Reporting Committee of South Africa in 2014.

The companies sampled in this study are those listed on the Johannesburg Stock Exchange (JSE) from 2013 to 2015. The major factor driving the selection of this particular period was to not only analyse the existing IR practice but also investigate IR two years after King III came into force. The SDTI developed by Integrated Reporting and Assurance Services (IRAS) was used to analyse IR quality. Ordinary least squares regressions were analysed. The models include year and industry fixed effects. The variance inflation factor and its tolerance were used to test the severity of multi-collinearity. Also, alternative measures of IR quality and alternate model specifications were analysed to check the robustness of the results.

The authors find that quality of IR is associated with lower earnings forecast error. The evidence indicates that earnings forecast error is lower for firms in the materials sector of the South African economy. Consistent with prior research, the results also suggest that forecast errors are higher for companies with volatile returns and lower for larger firms. Additional analysis indicates that IR quality is positively associated with market liquidity. Overall, these findings support the virtues of IR, thus providing useful information to capital markets.

The results obtained cannot be generalised to other jurisdictions. While the South African economy is the best setting to investigate IRs, new economies are also working actively on IR disclosures, so future research is likely to extend the literature in this field. Secondly, the availability of data constrained the sample size; however, this only mediates against finding any statistically significant result. While the IRAS database offers information about 324 JSE companies, Datastream covers only the 170 largest South African firms. In spite of the sample reduction, robust and consistent results are found in the market liquidity and analyst forecast accuracy proxies.

The sample period of this study (2013-2015) allows to understand disclosure behaviour after the international IR framework was published and endorsed by the JSE. The release of the IIRF gave clear guidance to firms regarding the nature and purpose of IR. Overall, the results obtained in this paper are consistent with IR expectations, thus providing useful information for investors and financial analysts. It is expected that the results might have practical implications for other nations about the cost and benefits of implementing integrated management reporting.

This paper contributes incrementally to the existing debate about whether disclosure information through IR has real benefits or is a passing fad. It examines the economic consequences of IR in a mandatory setting using an in-house ranking system, adapted to South Africa, designed by IRAS to determine IR quality. IRAS provides an SDTI that assesses the accuracy, consistency, completeness and reliability of quantitative data for 84 indicators based on IR and global reporting initiative aspects and subdivided into seven categories.

The aim of this paper is to analyze the impact of corporate governance (focused on some key mechanisms as board size, board independence, managerial ownership, institutional ownership, and chief executive officer duality) on financial analysts’ behavior in US. Results from panel data analysis for 294 US listed firms observed from 2007 to 2014 show that several attributes of the board of directors and audit committee have no effects on the number of analysts who are following the firm and the properties of analysts’ earnings forecasts. Findings also suggest that firms with independent and large boards and blockholders ownership benefit of more analyst following. In addition, it is proven that analysts’ earnings forecasts are optimistic and more accurate for companies where blockholder ownership, either by managers or external entities have larger quoted spreads but of lower quality for the ones which have greater independent board members and institutional investor’s holding.