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This paper aims to conduct a comparative analysis of the impact of market uncertainty on the degree of accuracy and bias of analysts' earnings forecasts versus four model-based earnings forecasts.

The study employs panel regression analysis on a sample of Egyptian listed companies from 2005 to 2022 to examine the impact of market uncertainty on the accuracy and bias of each type of earnings forecast.

The empirical analysis reveals that market uncertainty significantly affects analysts’ earnings forecast accuracy and bias, while model-based earnings forecasts are less affected. Furthermore, the Earnings Persistence and Residual Income model-based earnings were found to be superior in terms of exhibiting the least susceptibility to the impact of market uncertainty on their forecast accuracy and biasness levels, respectively.

The findings have important implications for stakeholders within the financial realm, including investors, financial analysts, corporate executives and portfolio managers. They emphasize the importance of considering market uncertainty when formulating earnings forecasts, while concurrently highlighting the potential benefits of using alternative forecasting methods.

To our knowledge, the influence of market uncertainty on analysts' earnings forecast accuracy and bias in the MENA region, particularly in the Egyptian market, remains unexplored in existing research. Additionally, this paper contributes to the existing literature by pinpointing the forecasting method, specifically distinguishing between analysts-based and model-based approaches, whose predictive quality is less adversely impacted by market uncertainty in an emerging market.

This paper aims to examine whether International Financial Reporting Standards (IFRS) adoption and corporate governance attributes increase the management earnings forecasts’ accuracy disclosed in prospectuses for French Initial Public Offerings (IPOs).

The analysis is based on cross-sectional regression explaining the absolute forecast errors by using 45 French firms that made IPOs between 2005 and 2016 in two French financial markets: Euronext and Alternext.

In agreement with the agency theory and the signaling theory, the authors find that the IFRS adoption and the effective corporate governance, proxied by the board characteristics, increase the accuracy of management forecasts. As a result, this latter gives a credible signal in constructing and sustaining shareholders’ trust on the transparency and the reliability of such financial information.

It is plausible that the limited size of the sample represents a limitation of this study. Another limitation is that no other corporate governance attributes such as board meeting frequency, audit committee measures and ownership structure are used.

Shareholders can take benefit from management forecasts accuracy to structure their investment portfolios efficiently to allocate their funds more effectively and mitigate the costs of adverse selection that they have to face. Furthermore, the authors expect the findings to be interesting to IPO firms, as this study highlights the efficiency of larger and independent boards in decreasing managerial discretion, increasing disclosure quality and supervising management. The results could encourage GAAP-adopters countries to move toward IFRS, as this research reinforces the role of IFRS in enhancing the quality of financial disclosure by offering the required information for shareholders.

This study is important because the potential investors should assess management earnings forecasts accuracy before they consider it when evaluating IPO firms. Also, this paper has some implications for the financial market. It is recommended that future investors pay more attention, when assessing the accuracy of management earnings forecasts, to the accounting regulations of the financial reporting along with the corporate governance mechanisms. Moreover, this study could incite French regulators to revise the AFEP-MEDEF code. Under this code, it could insist that larger and independent boards are more effective in performing their governing roles than smaller boards.

The purpose of this study is to present an extension to the research area dealing with the Tunisia initial public offering (IPO) associated earnings management forecasts, by an examination of the corporate governance mechanisms and earnings forecast accuracy relating impacts.

The authors use a multiple regression technique (FGLS) to estimate the effect of corporate governance structures and audit quality on earnings forecast accuracy. A sample of 33 IPO companies (165 firm-year observations) collected over the period ranging between 2011 and 2015 was applied.

The finding of this study reveals that the companies displaying a respectable audit committee size have a significant level of earnings forecast accuracy. Similarly, the accuracy level associated with IPO earnings forecasts is positively influenced by the use of the brand-name auditor.

This study is based on a small sample from a single jurisdiction and limited time period. In fact, the findings examine how financial statements are measured and reported and assess additional regulation to protect investors and understand as well as manage earnings forecast accuracy in IPO prospectuses.

The findings of the study provide some implications for regulators, financial analysts, investors and users of financial statements, particularly who are investigating in potentially IPO firms. This study has an implication for market regulators who suggest that a requirement to publish very detailed forecast information would improve market efficiency by reducing the forecast error.

Previous studies on this subject carried out in other countries with a regulatory framework differ from that of Tunisia, which obligatorily obliges the publication of the forecasts in the prospectus of IPO and capital increase. This is one of the most important studies that simultaneously tests the impacts of corporate governance and audit quality on earnings forecast accuracy in an emerging market, and the results of this study may give strength to Tunisian as well as other developing countries.

This paper aims to use Australian analysts' forecast data to compare the relative accuracy of consensus and the most recent forecast in the month before the earnings announcement.

Cross‐sectional regression is used on a sample of 4,358 company‐year observations of annual analyst forecasts to examine whether the number of analysts following and the timeliness of an individual analyst's forecast is more strongly associated with the superior forecast measure.

The results suggest that whilst in the late 1980s the most recent forecast was more accurate than the consensus, since the early 1990s the accuracy of the consensus forecast has outperformed the most recent forecast in 15 out of 17 years, and the differences are significant for nine out of 15 years. The forecasting superiority of the consensus can be attributed to the aggregating value of the consensus outweighing the small timing advantage of the most recent forecast over the short forecast horizon examined in this paper.

Given the consistent use of analysts' forecasts as proxies for expected earnings in Australian research, this paper provides insights to what extent the expected level of forecast accuracy is realised and the reasons for the greater accuracy in the superior forecast measure.

The findings confirm market practitioners' views that the consensus forecast is a better measure of the market's earnings expectations.

This paper provides direct evidence of the accuracy of alternative forecast measures and the importance of diversifying idiosyncratic individual error across analyst forecasts.

We highlight two mechanisms of limited attention for expert information intermediaries, i.e., analysts, and the effects of such limited attention on the market price discovery process. We approach analysts' limited attention from the perspective of day-to-day arrival of information and processing of tasks. We examine the attention-limiting role of competing tasks (number of earnings announcements and forecasts for portfolio firms) and distracting events (number of earnings announcements for non-portfolio firms) in analysts' forecast accuracy and the effects of such, on the subsequent price discovery process. Our results show that competing tasks worsen analysts' forecast accuracy, and competing task induced limited attention delays the market price adjustment process. On the other hand, distracting events can improve analysts' forecast accuracy and accelerate market price adjustments when such events relate to analysts' portfolio firms through industry memberships.

Islam stresses on the practice of transparency and sufficient disclosure particularly when it concerns the ethical identity of Islamic institutions. This is to make sure that the activities conducted in business adhere to Shari’ah principles. The purpose of this paper is to examine the impact of Shari’ah-compliant status on the accuracy of initial public offering (IPO) earnings forecasts and to investigate the effect of the existence of Muslim directors on IPO companies’ board of directors on the accuracy of earnings forecasts.

This study makes use of absolute forecast error as a proxy for earnings forecast accuracy. As obtained from the list of Shari’ah-compliant securities established by the Shari’ah Advisory Council of the Malaysian Securities Commission, the study sample comprised 190 Shari’ah-compliant and non-compliant IPOs. The collected data were analyzed through univariate analysis and ordinary least squares regression.

The initial findings show that during the study period, the earnings forecasts of Malaysian IPOs are accurate to some level, although such level is still unsatisfactory. The findings also showed that Shari’ah-compliant status and Muslim directorship do not positively affect the accuracy of IPO earnings forecasts.

The findings of the study provide some implications for regulators, financial analysts, investors and users of financial statements, particularly those desirous of investing in Islamic capital market.

The present study provides a new and far-reaching contribution into the debate about the earnings forecasts disclosure in the context of Islamic ethical perspective. In addition, this study is considered as the first study to extend IPO literature by examining the impact of Shari’ah-compliant status and Muslim directorship on the accuracy of management earnings forecasts disclosed in the IPO prospectus.

This paper aims to extend the research on the Malaysian initial public offering (IPO) management earnings forecasts by examining the impact of corporate governance mechanisms and earnings forecasts accuracy. It seeks to investigate whether effective corporate governance is a credible signal of improving the quality of financial information.

A sample of 235 IPO companies that went public during the period 1999‐2006 was used. Absolute forecast error was used to proxy for earnings forecast accuracy and to represent financial disclosure quality.

Companies with a higher percentage of non‐executive directors in the audit committees and larger audit committee size exhibit greater forecast accuracy. The accuracy of IPO earnings forecast is also positively influenced by the use of brand‐name auditor.

The results suggest that effective corporate governance is a credible signal of improving the quality of financial information. The role of audit committee as financial monitors as suggested by the agency theory supports this paper.

The results are consistent with the belief that effective corporate governance is associated with higher financial disclosure quality. The results also support the decisions made by Malaysian regulators such as the Securities Commission to enhance the quality of financial disclosure by revising the Malaysian Code on Corporate Governance to encourage public companies to implement good governance practices such as audit committee independence.

The purpose of this paper is to assess whether there is an association between CEO age and analysts forecast properties (particularly forecast accuracy and bias/optimism). CEOs, having the central role in managing firms, can significantly influence the financial and non-financial decisions in an organisation. Furthermore, having been identified as key culprits in past major accounting scandals, it is also important to identify the CEO characteristics that affect financial reporting decisions.

This study adopts the upper echelon theory on the relationship between CEO age and analysts forecast properties. The authors use a sample of 2,730 Australian firm-year observations for the period 2004–2013 drawn from IBES, Connect 4 and SIRCA databases.

The authors find that analyst forecast accuracy increases and bias (optimism) reduces with the CEO age. The authors conclude that earnings and related information provided to analysts improves with the CEO age, which increases the forecast accuracy and reduces bias (optimism). Additional results suggest that the positive (negative) effect of CEO age on forecast accuracy (bias) remains until the CEOs reach the age of their retirement age (65 years). The results remain consistent with a number of sensitivity tests and provide implication for stakeholders such as firms, analysts, auditors, financial statements users and regulators.

The authors demonstrate that the relationship between CEO age and analyst forecast properties is not linear but is, in fact, curvilinear substantiating concerns that CEOs that are much younger or much older do not help increase the quality of the information environment. Consequently, firms hiring CEOs in the right age bracket also benefit by having higher-quality information environment leading possibly to reduce costs such as those relating to debt and/or equity ultimately increasing firm value.

Empirical studies on the association between CEO age and analysts earnings properties in Australia are scarce and this paper contributes to the determinants of the analysts forecast accuracy and bias (optimism) and the CEO age literature.

The purpose of this paper is to examine the impact of management’s choice of forecast precision on the subsequent dispersion and accuracy of analysts’ earnings forecasts.

Using a sample of 3,584 yearly management earnings per share (EPS) forecasts and 10,287 quarterly management EPS forecasts made during the period of 2002-2007 and collected from the First Call database, the authors controlled for factors previously found to impact analysts’ forecast accuracy and dispersion and investigate the link between management forecast precision and attributes of the analysts’ forecasts.

Results provide empirical evidence that managements’ disclosure precision has a statistically significant impact on both the dispersion and the accuracy of subsequent analysts’ forecasts. It was found that the dispersion in analysts’ forecasts is negatively related to the management forecast precision. In other words, a precise management forecast is associated with a smaller dispersion in the subsequent analysts’ forecasts. Evidence consistent with accuracy in subsequent analysts’ forecasts being positively associated with the precision in the management forecast was also found. When the present analysis focuses on range forecasts provided by management, it was found that lower precision (a larger range) is associated with a larger dispersion among analysts and larger forecast errors.

Evidence suggests a consistency in inferences across both annual and quarterly earnings forecasts by management. Accordingly, recent calls to eliminate earnings guidance through short-term quarterly management forecasts may have failed to consider the linkage between the attributes (precision) of those forecasts and the dispersion and accuracy in subsequent analysts’ forecasts.

This study contributes to the literature on both management earnings forecasts and analysts’ earnings forecasts. The results assist in policy deliberations related to calls to eliminate short-term management earnings guidance.

Presently, one of the major governance issues faced by management and shareholders of organizations is the gender composition of the boards of directors and audit committees. This study aims to examine the impact of gender diversity in audit committees on the accuracy of management earnings forecasts disclosure in initial public offering (IPO) prospectuses.

The study sample comprises 190 Malaysian companies issuing IPOs that transformed into public companies during the period 2002-2012. Earnings forecasts accuracy (quality) is proxied by absolute forecast error and the study model is developed based on the frameworks of the signalling theory, the agency theory and the resource-dependence theory.

The study proposes that female directors introduce a set of specific features in the boardroom that serve to improve investor protection and efficient monitoring of management. However, findings reveal an insignificantly positive relationship between gender diversity in audit committees and absolute forecast error, which shows that more female directors in audit committees could translate into more errors and less accuracy in earnings forecasts.

Considering the recent regulatory developments that encourage the number of women on the board of directors, the findings obtained have significant implications for policymakers. The study findings can also be invaluable to investors, investment analysts, market players and researchers.

The composition of the board of directors and audit committees in terms of gender plays a significant role in the promotion of effective corporate governance practices. This study is one of the pioneering studies that examines the advantages of gender diversity in the board of directors. It is also the first study to extend IPO literature by investigating the role of gender diversity in audit committees in the enhancement of accurate management earnings forecasts included in the IPO prospectuses.