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This study examines associations between accrual earnings management (AEM) and real earnings management (REM), and earnings quality between countries considered under insider economics and outsider economics clusters. Countries included in the outsider economics cluster are Singapore, Malaysia, and Hong Kong. Meanwhile, countries included in the insider economics cluster are Indonesia, the Philippines, and South Korea. Earnings management practices have changed from AEM to REM since the publication of the Sarbanes Oxley Act and DFA 954 implementation of the Claws back provision policy in the United States.

Research data were obtained from the Bloomberg database, 2010–2016. Regression analysis and t-test were utilized. This study compared AEM and REM to determine which is stronger based on country clusters, as well as the association between AEM or REM and earnings quality.

The results of this study indicate that AEM and REM are associated with the quality of earnings in the insider economics cluster. However, AEM and REM are not associated with earnings quality in the outsider economics cluster. Furthermore, associations between AEM and earnings quality are stronger than associations between REM and earnings quality in insider economics cluster.

This paper examines the effect of managerial insider trading on analyst forecast accuracy, dispersion and bias. Specifically, the authors test whether insider-trading information is positively associated with the precision of earnings forecasts. In addition, this relationship between Regulation Fair Disclosure (FD) and the Galleon insider trading case is examined.

Pooled ordinary least squares (Pooled OLS) rregressions with year-fixed effects, firm-fixed effects, and firm-level clustered standard errors are used. Our proxies for forecast precision are regressed on alternative measures of insider trading activities and a vector of control variables.

Insider-trading information is positively associated with the precision of earnings forecasts. Analysts provide better forecast accuracy, less forecast dispersion and lower forecast bias among firms with insider trading in the six months leading to the forecast issues. In addition, bullish (bearish) insider trades are associated with increased (decreased) forecast bias. Insider trading information complements analysts' independent opinion and increases the precision of their forecast.

Regulators may pursue rules that promote the rapid disclosure of managerial insider trades, particularly given the increasing availability of Internet tools. Securities regulators may attempt to increase transparency and enhance the reporting procedures of corporate insiders, for example, using Internet sources with direct release to the public to ensure more timely information dissemination.

The authors document a positive association between earnings forecast precision and managerial insider trading up to six months prior to the forecast issue. This relationship is stronger after the Securities and Exchange Commission (SEC) prohibited the selective disclosure of material nonpublic information through Regulation FD. In addition, the association between insider trading and forecast accuracy has weakened after the Galleon insider trading case.

Between 1988 and 1994 ten European countries introduced or modified their regulations on insider trading. We evaluate in this article the impact of such regulatory changes on the risk, return, and some other characteristics of these ten markets. After extensive testing, we find that the evidence suggests that these regulations have had little (if any) impact on the market characteristics we examine, and briefly speculate about the reasons that justify our findings.

Previous literature suggests various motives and factors affecting insider trading, but little systematic empirical evidence exists on how they affect insider trading decisions jointly. The purpose of this paper is to address this issue.

This study adopts a multivariate fix‐effect framework to jointly examine the factors affecting insider trading decisions using a sample of directors serving multiple companies. The timing of the trading is taken as given and an examination made as to why a specific stock was traded among all the insider stocks the director holds. The observations of the untraded stocks supplement the direct observation of the traded stocks, and allow the issue of insider trading motives to be tested in a multivariate framework with director fix‐effect.

Evidence is found for the joint presence of the following motives in determining directors' trading choices: information; insider preferences for small value companies with significant previous price movement; the avoidance of information sensitive period; and corporate‐level insider trading restrictions. It is empirically shown that director trading motives vary by transaction size.

This paper provides systematic empirical evidence on the factors affecting the trading decisions of US directors.

This paper aims to study individual managers’ market timing capabilities while trading (either buying or selling) stock from their portfolios, as well as the impact of gender, seniority and trading frequency on their market timing performance.

This study uses a relative transaction price approach introduced by Dittmar and Field (2015) on 837 aggregated trades made by managers from their portfolios between 2010 and 2015. These were taken from publicly disclosed information through the Portuguese regulator. Furthermore, this study uses a median regression-based method to infer the authors’ conclusions.

The authors find that insiders buy (sell) at a relatively lower (higher) price when compared to other traders. This evidence shows that insiders have market timing capabilities. Moreover, this paper shows that contrarily to gender, both seniority and frequency help explain market timing performance and that insiders’ trades made over-the-counter (OTC) generally overperform the ones made on the open market (OM). Finally, this study finds a significant crisis-related influence on insiders’ market timing performance.

This study contributes to the literature by studying insider trading at the portfolio level, by analyzing the impact of personal characteristics of insiders (including gender, tenure and eagerness), focusing both on studying the buying and selling behavior across both OMs and OTC and analyzing firsthand the impact of a macroeconomic shift on insider trading performance.

This study aims to investigate the impact of mandatory audit partner rotation (MAPR) on Chinese listed firms’ insider trading, as well as the moderating effects of firm characteristics on this impact. The economic mechanism behind this impact is also explored.

This study conducts a regression analysis on firms associated with mandatory and voluntary audit partner rotation based on 2009–2019 firm data and examines whether corporate insiders of these two types of firms increase their share sales within 12 months before their financial statements are submitted to a new rotated auditor.

Client firms’ corporate insiders increase their share sales within 12 months before their financial statements are submitted to a new mandatory rotated auditor. In addition, such an association is less pronounced for client firms that changed from Big 4 auditors to those with higher financial constraints. This is more pronounced for client firms with higher information asymmetry. The economic mechanism of the finding is that is the MAPR implementation reduces earnings management activities from client firms. Moreover, client firms’ buy-and-hold stock returns decline in the first year after MAPR.

This study should assist investors, corporate shareholders and Chinese policymakers. Investors can be well protected through the adoption of MAPR because upcoming auditors enhance the audit quality of clients by restraining managers’ manipulation of reported earnings and declining firms’ insider trading afterwards. Investors, Chinese policymakers and corporate shareholders should pay more attention to firms’ financial report quality, auditor selection, financial situation, corporate governance and the information environment. Explicitly, firms with less transparent financial report quality, non-big 4 auditors and fewer financial constraints are more likely to be involved in insider trading.

To the best of the authors’ knowledge, none of the extant studies have examined the impact of MAPR on insider sales. This study extends the research on the effect of the audit process on firm market performance by investigating the impact of audit partner rotation policy on insider trading behaviors.

This paper not only draws conclusions from the available literature but also offers some new factors as well, which are not included in the existing literature. To be more precise, the purpose of this paper is to ascertain factors behind the clustering of the motorcycle industry, a low-tech and low investment industry. This paper weighs the government’s policies, role of factors of production, infrastructure, geography and other drivers for the subject industry and associated industries in the geographic location of Hyderabad.

For collection of data, a questionnaire was designed to survey the cluster (n=250) after reviewing the literature and conducting interviews of experts of the motorcycle manufacturing industry, i.e. owners, managers, auditors, suppliers, etc.; a component matrix was developed to reduce the dimension of factors and measure the correlation, which helped to weigh the influence of factors. A confirmatory factor analysis proposed four factors as the best fit.

The study conjectured a new viable factor for industrial clustering: “ethnic community,” as it acts as a catalyst to diffuse knowledge, experience and skills within the industrial cluster.

This research does not find the weightage of the factors for industrial clustering, i.e. it does not calculate the influence of factors behind the industrial clustering.

The above findings aim to stimulate policy makers and researchers alike to further pursue the line of inquiry developed in this paper.

A first-time confirmatory factor analysis is used to find the reasons of industrial clustering. Root mean square error of approximation is used to test the model fit. Most importantly, it is the research about an emerging industrial cluster.

The purpose of this paper is to examine the ways in which the small firm's external relationships influence its approach to formal training and training providers.

A qualitative approach was adopted, involving semi‐structured interviews with senior managers, in 25 small firms in South Wales. These interviews were informed by prior workplace observation and analysis of organisational documentation. Further interviews were conducted with employees in nine of the firms.

The findings indicate that the small firm's informal relationships with trusted, familiar and credible contacts – referred to as insiders, following Gibb – are central to the way in which it perceives both training and training providers. Government agencies, training providers and other traditional stakeholders generally sit outside these informal insider networks, and tend to be viewed as culturally remote by the small firm.

The findings emphasise the need for training providers and government agencies to obtain the support and co‐operation of insider networks if they wish to promote training within the small business sector. The main limitations include the relatively narrow geographical focus and the absence of retail firms from the sample.

While the importance of informal networks within the small business community is now well established, the constitution of such networks and their effects on attitudes towards training providers are less well understood. The paper helps to address these gaps by starting the process of mapping insider networks and illuminating their impact on small firms' perceptions of training providers.

In this paper, we explore an extensive panel data set covering more than 4,000 listed firms in 16 European countries to study the effects of shareholder protection on ownership structure and firm performance. We document a negative firm-level correlation between shareholder protection and ownership concentration. Differentiating between shareholder types, we find that this pattern is mainly driven by strategic investors. In contrast, we find a positive correlation between shareholder protection and block ownership of institutional investors, in particular when we restrict the analysis to independent institutional investors. Finally, we find that independent institutional investors are positively associated with firm valuation as measured by Tobin’s Q. The opposite applies for strategic investors. Overall, our results are consistent with the view that (i) high shareholder protection and (ii) limited ownership by strategic investors make small investors and investors interested in security returns more confident in their investments.

A few decades ago, most research works on internationalisation were aligned to studies in developed economies. In recent times, business entrepreneurs in developing and emerging economies have shown their potential to permeate international markets. The current capability of business entrepreneurs in developing and emerging economies, which drives their ability to overcome the numerous barriers to internationalisation, particularly within clusters, requires a critical examination. As a result, the study situates the discussion on internationalisation within the theory of agglomeration in developing and emerging economies and argues that the gains enjoyed by business entrepreneurs from operating in close proximity in clusters are critical for overcoming the barriers of internationalisation. This research adopts a systematic review of secondary data to tease out the unique attributes of clusters in developing and emerging economies, which supports the internationalisation drive. The findings show that most emerging economy clusters are engaged in exports but there is minimal work on international entrepreneurs operating within clusters. The unique features that drive exporting clusters are the presence of multinational companies, public agencies and collaborative relationships. These unique features have the capacity to minimise the constraints to internationalisation and determine the export performance of businesses in the cluster.