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This study examined the effect of different types of politically connected (PCON) Malaysian firms on analysts' forecast accuracy and dispersion.

The study identified different types of PCON firms according to Wong and Hooy's (2018) classification, which divided political connections into government-linked companies (GLCs), boards of directors, business owners and family members of government leaders. The sample covered the period 2007–2016, for which earnings forecast data were obtained from the Institutional Brokers' Estimate System (IBES) database and financial data were extracted from Thomson Reuters Fundamentals. We deleted any market consensus estimates made by less than three analysts and/or firms with less than three years of analyst forecast information to control for the impact of individual analysts' personal attributes.

The study found that PCON firms were associated with lower analyst forecast accuracy and higher forecast dispersion. The effect was more salient in GLCs than in other PCON firms, either through families, business ties or boards of directors. Further analyses showed that PCON firms—in particular GLCs—were associated with more aggressive reporting of earnings and poorer quality of accruals, hence providing inadequate information for analysts to produce accurate and less dispersed earnings forecasts. The results were robust even after addressing endogeneity issues.

This study found new evidence of the impact of different types of PCON firms in exacerbating information asymmetry, which was not addressed in prior studies.

This study has a significant practical implication for investors that they should be mindful of high information asymmetry in politically connected firms, particularly government-linked companies.

This is the first study to provide evidence of the impact of different types of PCON firms on analysts' earnings forecasts.

This study aims to examine the relationship between the educational background of Chief Financial Officers (CFOs) from reputable universities and financial reporting quality (FRQ). Educational background is divided into two categories: an undergraduate degree from a reputable university and a Master of Business Administration (MBA) degree from a reputable university.

This study uses data from all companies listed on the Indonesia Stock Exchange from 2010 to 2019, except for financial companies, and obtains 2,583 research samples. The least-squares regression analysis model was used in this study.

This study finds that the educational background of CFOs with a bachelor’s degree and CFOs with an MBA from reputable universities has a positive and significant relationship with FRQ. This study also performs an additional analysis with high-low growth and high-low tech and robustness testing with coarsened exact matching method and Heckman to corroborate the results.

This study provides a theoretical contribution to the literature on the relationship between CFOs’ educational background and FRQ in Indonesia. It is also expected to contribute to the implementation of company policies, management and educational institutions in Indonesia.

This study provides a novel measurement of CFO reputation, measured using the ranking of CFO alumni from reputable universities and its association with FRQ.

This paper aims to examine whether conditional conservatism is affected by chief financial officer (CFO) attributes as this issue is understudied in Malaysia. Given that CFOs have a direct responsibility for financial reporting, therefore, their individual attributes are important in influencing conservatism in financial reporting.

This study uses non-financial listed firms in the Main Market of Bursa Malaysia from the years 2016 until 2019.

The results show that CFOs’ attributes, namely, gender, age, education level and ethnicity, affect earnings conservatism. To test for robustness, the authors use difference-in-difference, propensity score-matching and unconditional conservatism, namely, market-to-book ratio and the authors find the results hold with an exception for age and education level. Further, the effect of these attributes is more profound in non-Big4 audited firms, suggesting that CFO attributes act as a substitute mechanism for lower audit quality.

This study complements existing studies by documenting the first evidence on the significant effects of CFOs’ attributes in influencing accounting conservatism in an emerging country, namely, Malaysia. This is the first paper, to the humble knowledge, that examines CFOs’ attributes on accounting conservatism in Malaysia.

This study examines the nature of the relationship between board structures (BSs) and intellectual capital (IC) of banks in Africa.

Using annual data from financial statements of 366 banks from 26 African countries from 2007 to 2015, the study estimates IC using the value-added intellectual coefficient (VAIC) and BSs using board size, board independence and board gender diversity. The system generalized method of moments and panel-corrected standard error estimation strategies are used to estimate panel regressions.

There is a significant negative relationship between board independence and intellectual capital. The results also indicate that the IC of banks does not depend on board size and board gender diversity.

The study's findings provide evidence of the extent to which BSs have been instituted to support investments in intellectual capital as a means of improving the performance of banks in Africa.

This study provides some empirical evidence from Africa's banking sector to justify that banks with better IC have boards that are less independent. This study is one of the few studies that employs many countries' data.

The purpose of this paper is to further the understanding of the determinants of audit report lag, which is the number of days from a company’s fiscal year-end to the date of its auditor’s report, by synthesizing extant literature. Audit report lag has been a variable of interest in many studies due to its use as a proxy for the occurrence of auditor-client management negotiations and audit efficiency and because long audit report lags delay the release of earnings information to the market.

The author uses meta-analysis to examine commonly identified predictors of audit report lag to determine if the prior research provides a consistent portrayal of audit report lag drivers.

The author finds that a number of variables relating to client profitability and financial condition, client complexity and audit opinion modifications increase audit report lag. In addition, audit report lag decreases with client size, when clients have positive earnings news to report and when the auditor has long tenure and provides non-audit services. Several variables, such as those relating to corporate governance and various auditor characteristics, have been little explored and would benefit from future research.

These results will be useful to researchers when selecting control variables for future audit report lag studies and provide insights into the key factors that contribute to the delay in audit reporting.