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The purpose of this study is to comparatively analyze the effect of dividend policy on shareholders’ wealth in Shariah-compliant (SC) and noncompliant (NC) nonfinancial firms in Pakistan.

All the nonfinancial firms listed on the Pakistan stock exchange have been taken as a sample for 2016–2021. The Karachi Meezan index screening criteria were applied to screen SC firms. Based on the BPLM and Hausman test results, the authors used the fixed-effect and pooled OLS model for SC and NC firms, respectively. The F-test was used to compare the effect of each dividend policy variable on shareholders’ wealth for both firm types.

The findings reveal that the dividend policy does affect the shareholders’ wealth in both firm types. Dividend per share (DPS), dividend yield (DY) and earnings per share significantly affect the shareholders’ wealth in SC firms. For NC firms, the dividend payout, DPS and DY are critical. Moreover, the F-test results show that the DPS, DY and leverage effect on the shareholders’ wealth significantly differ for both firm types.

This study fills the research gap in the Pakistani context specifically as well as globally by providing important insights into the relationship between a firm’s dividend policy and shareholders’ wealth for SC and NC firms. In addition, this study comprehensively compares the results for both firm types, which is also lacking in the existing literature. Because this study is based in Pakistan, the generalizability of the results would be limited.

The findings of this study are helpful for the management of SC and NC firms in devising their dividend policies that can maximize their shareholders’ wealth. This study also provides guidance and knowledge to investors in choosing companies for their investments that can maximize their wealth.

To the best of the authors’ knowledge, this is the first study that analyzes the relationship between dividend policy and shareholders’ wealth for SC firms in Pakistan. It is also the first study that comprehensively compares the dividend policy relationship with shareholders’ wealth for SC and NC firms. In addition, using the F-test for joint hypotheses to compare the specific effect of each dividend policy variable is a methodological contribution of the study.

This study aims to assess the evolution of the value relevance of book value, earnings and its components in Mauritius, an African developing country, focusing on value relevance changes after International Financial Reporting Standards (IFRS) adoption and subsequent local reforms.

The study relies on a data set of 567 firm-year observations (2001–2018) and the Ohlson valuation model to investigate value relevance after IFRS adoption, the implementation of institutional reforms and enforcement reforms.

Firstly, the authors find support for a rise in the combined value relevance of earnings and book value, albeit that book value significantly contributes to changes over time. The findings highlight the combined importance of IFRS adoption with institutional and enforcement reforms to improve value relevance. Secondly, the authors do not find evidence of a shift in value relevance between earnings and book value. Third, the cash flow model reveals a higher level of significance relative to the earnings model.

The authors extend the value relevance literature in the context of African developing countries. The present findings underpin the need for a reinforcing of relevant institutional and enforcement frameworks to ensure the benefits of IFRS adoption materialise. The findings also offer a contribution of how developing countries’ experience IFRS post-adoption while adding to the dearth of studies analysing IFRS enforcement practices.

This paper aims to examine the impact of ownership structure on the accounting-based performance of listed Nigerian deposit money banks (DMBs) on Nigerian Exchange Group (NGX) from 2011 to 2020.

The study adopts ex post facto research design, using initially “the panel fixed and random effects regression analysis and Hausman specification test and thereafter, the IV Generalised method of moments (GMM) to check for endogeneity issues and strengthen the robustness of the results.

The one lagged value result reveals that ownership structure of DMBs in Nigeria has cumulative significant impact to influence corporate financial performance of the banks in the future. Overall, CEO, board/managerial, family, government and foreign ownership structures in DMBs in Nigeria do not have significant influence on accounting-based corporate financial performance of the banks. However, the study reveals that board/managerial ownership could significantly improve market value/growth of DMBs in Nigeria.

Policy makers, investors (both local and foreign), academics, corporate governance administrators, and the government could apply the study's findings to the management of banking operations in Nigeria.

The paper highlights the impact of five ownership structures on the accounting-based performance of DMBs in Nigeria from 2011 to 2020, providing valuable insights into the influence of stockholding categories on corporate financial performance, which is a shift from extant literatures with limited insights.

Following the growing adoption of social media, many entrepreneurs are launching personal social media channels. This study focuses on the effect of entrepreneurs' shared information on We Media platforms on the value relevance of their earnings.

Using entrepreneurs' We Media data collected from A-share-listed companies on the Shanghai and Shenzhen Stock Exchanges from 2010 to 2018, this study investigates the effect of the data on the value relevance of earnings using the modified Ohlson model. The authors applied textual analysis to retrieve entrepreneurial We Media data acquired manually from Weibo.

We Media platforms can increase the value relevance of earnings. Entrepreneurs can enhance investor trust by establishing social ties with investors. Investors are more likely to recognize earnings information publicized by enterprises, owing to internal consistency. Particularly, value relevance improves significantly with more personal information being posted and more “likes” being acquired on entrepreneurs' We Media accounts. This positive effect is more obvious in privately owned and highly marketized regions.

The findings extend the research on the economic consequences of We Media as an important information channel, enrich the research on the social media posting behavior of entrepreneurs and provide a reference for enterprises to instill trust using new information disclosure methods and for governments to establish a safe internet environment to promote the sustainable development of the capital market.

This paper aims to examine the relationship between the readability of annual reports and corporate performance in Chinese listed firms.

This research examined the annual report readability factors of Chinese listed companies by using a textual analysis method using Python to extract the text from the annual reports, convert it into numerical form to facilitate statistical analysis and then merge the results with data from the Chinese stock market to explain the impact on corporate performance and predict future earnings in the Chinese financial markets from 2008 to 2021.

Study findings indicate that firms with better financial reporting readability are more profitable, incur lower agency costs and have low earnings in the Chinese stock markets when readability is low (i.e. more complexity and length of annual reports). It was also found that when a listed company has a good performance, it prefers to use a short space to explain its operating and financial status. More generally, the means of the report length are short, and accounting terms are used less frequently; in the case of a poor company, the annual report is particularly long and accounting terms are more frequently used. In the context of the COVID-19 crisis, this study served as a proxy measure of returns prior to the announcement of the COVID-19 pandemic. In addition, an instrumental variable approach is used, which helps results to remain robust and control for fixed effects and potential endogeneity problems.

Although this study’s results cannot be generalised globally because of their limited scope, they can still be generalised across non-English speaking countries. Thus, future cross-country research is encouraged to examine the textual analysis of financial reports across those countries.

This study conveys two messages to investors and policymakers within the Chinese market. First, investors ought to pay greater attention to the nonfinancial information contained in annual reports to improve the accuracy of their predictions regarding future firm performance. Second, Chinese policymakers are encouraged to instate a policy for the use of plain English in annual reports to make them more readable by international investors.

This study contributes to the paucity of research that examines English-written annual reports in non-English speaking countries by examining the readability of annual reports in the Chinese market.

This study aims to examine the effects of product market competition (PMC) on analysts’ earnings forecast attributes, particularly forecast accuracy and dispersion. The authors also investigate whether investor protection moderates the relationship between PMC and forecast attributes.

The sample covers 49,578 firm-year observations from 38 countries. This study uses an ordinary least squares regression, a Heckman two-stage regression and an instrumental two-stage least squares regression.

This study finds that PMC is associated with higher forecast accuracy and lower dispersion. The results also show that investor protection enhances the effect of PMC on forecast accuracy and dispersion. These findings imply that countries with strong investor protection have a better information environment, as exhibited by the stronger relationship between PMC and analysts’ forecast properties.

The findings highlight the importance of strong governance mechanisms in both the country and industry environments. Policymakers, including government agencies and financial regulators, can leverage these insights to formulate regulations that promote competition, ensure investor protection and facilitate informed investment decisions.

This study advances our understanding of how PMC affects analysts’ earnings forecast attributes. In addition, it pioneers evidence of the moderating role of investor protection in the relationship between PMC and forecast attributes.

This article analyzes the hypothesis that analysts issue higher long-term earnings growth (LTG) forecasts following a market-wide investor sentiment.

This study analyzed 193 publicly traded Brazilian firms listed on B3 (Brasil, Bolsa, Balcão), totaling 2,291 observations. To address the potential selection bias resulting from analysts' preference for more liquid firms, this study used the Heckman model in the analysis with samples with only one analyst and the entire sample. The study also applied other robustness tests to ensure the reliability of the findings.

The results suggest that market-wide investor sentiment influences LTG when the firm's stocks are difficult to value. Market optimism did not reflect five-year profit growth after the forecast issue, suggesting lower forecast accuracy during high investor sentiment values.

Volatile-earnings firms have relevant implications in LTG forecasts during bullish moments. According to the study’s evidence, investors' decisions and policymakers' and regulators' rules should consider analysts' expertise as independent information when considering LTG as input for valuation models, even under market optimism.

This paper contributes to the literature on the influence of investor sentiment on analysts' forecasts by incorporating two crucial elements in the discussion: the scenario free from herding behavior, as usually only one analyst issues LGT forecast for Brazilian firms, and the analysis of research hypotheses incorporates the difficulty of pricing a firm given the uncertainty of its earnings as an explanation to bullish forecast.

Corporate donation behavior sends two financial-related signals, i.e. sufficient cash flow and self-confidence in future earnings. This paper aims to investigate whether these financial-related signals released by corporate donation drive investors to make more optimistic forecasts about the firm’s future earnings per share (EPS) and whether this effect varies across different historical earnings trends.

This study is based on a controlled online experiment with 553 MBA students.

The results demonstrate that a financial signaling mechanism works, but it is moderated by historical earnings trends. When the earnings trend is always increasing, the more the number of financial signals received, the higher the investors’ EPS forecast; when the earnings trend is fluctuating (down then up or up then down), investors’ EPS forecast is higher when they receive financial signal(s) than when they do not, but no additive effect occurs from receiving one signal to two signals; when the earnings trend is always decreasing, investors’ EPS forecast is irrelevant to the number of financial signals received.

To the best of the authors’ knowledge, this study is the first to experimentally investigate a possible mechanism to explain investors’ positive response to corporate social responsibility (CSR) (specifically, corporate donation) disclosures – the financial signaling mechanism. This study also extends the research on the impact of financial information on investors’ use of nonfinancial information by investigating the moderating role of historical earnings trends on the financial signaling mechanism of the CSR effect.

This article aims to evaluate the informativeness of accruals on stock prices. Investors may misinterpret the information contained in accruals and produce accrual anomalies. Accruals accounting improves the quality of financial statements by providing useful information, although it also contains judgments and is less objective than operating cash-flows.

We employ data panel regression analysis to investigate the value relevance of financial information. Our study takes the object of companies listed on the Nasdaq stock exchange (NASDAQ) as the representative of the prominent stock exchange for technology-driven enterprises and entrepreneurs. Expanding the findings, we also use Shanghai Stock Exchange (SSE) data.

Our research finds that accruals are still relevant. However, firms with R&D expenditures reduce the ability of accruals to explain stock prices for non-technology firms and firms without intangible assets. After analyzing only tech firms (and firms with intangible assets), our tests show that R&D expenditures improve the relevancy of accruals. These findings apply to both Nasdaq and SSE.

Practitioners and the investment community get valuable insights into how the recognition and measurement of R&D expenditures affect the value relevance. Information about R&D increases relevancy only in firms with intangible assets and those that operate in the technology industry.

Our paper provides benefits by using R&D expenses to affect accruals' informativeness by comparing two countries with different recognition of R&D.

This study aims to validate the link between production manipulation and a firm’s performance variability (fundamentals and stock returns). It explores whether executives' risk-taking incentives encourage production deviations around the normal level during uncertainty.

Utilizing panel data of manufacturing firms from Compustat over three decades, the study investigates production management practices during economic uncertainty. The Economic Policy Uncertainty Index (EPU) is employed as a key metric. The empirical strategy involves documenting the effect of economic uncertainty on overproduction and underproduction, examining the role of executive compensation and assessing the impact on risk.

The research finds that risk-taking incentives increase over/underproduction, particularly amplifying the extent of underproduction during uncertainty. Production deviation rises, indicating that firms take greater risk by engaging in abnormal business operations. The study’s results are robust against various econometric methods, emphasizing the influence of risk-taking incentives on corporate production decisions.

While providing valuable insights, the study acknowledges inherent limitations, including factors influencing production decisions beyond risk-taking incentives. Further research could explore additional determinants for a comprehensive understanding.

The findings highlight the potential dark side of executive compensation that motivates suboptimal risk-taking decisions, impacting risk, cost of capital and firm performance. Policymakers and compensation committees can use these insights to design efficient systems that mitigate moral hazard problems associated with productivity changes.

The study emphasizes the broader social implications of production manipulation under uncertainty. It prompts discussions on the ethical considerations of managerial opportunism, its potential consequences for stakeholders and market dynamics.

This study contributes to the literature by examining the role of economic uncertainty on production manipulation and the influence of risk-taking incentives. It extends the earnings management literature by considering real activity manipulation and emphasizing the importance of decomposing production deviation into positive and negative values.