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The purpose of this paper is to investigate differences in compensation related to gender concentrations among industries at different organisation levels of management to identify gender‐based patterns of compensation at the macro level not investigated in previous studies that simply suggest industry or occupational differences. Findings provide guidance for selection processes, career path management for maximising compensation and policy‐making.

Data from the Current Population Surveys and the Standard and Poor's ExecuComp database were used to examine differences in compensation of managers and top executives.

Findings suggest that men and women must seek different paths and endpoints to optimize compensation. Maximising compensation for women requires working as a minority and changing industries. Men, on the other hand, may work in male‐dominated industries at every level or may move to female‐dominated industries at the managerial and executive levels and still receive equitable pay.

The paper was conducted on a USA sample so further research should examine data from other countries.

In practice, this paper suggests that men and women must seek different paths and endpoints to optimize compensation. Human resource managers should be aware of these potential biases and try to rectify them within their organisations through the use of appropriate selection and compensation practices. At the macro‐level, policy‐makers can identify patterns of inequity to address.

Gender‐related difference studies of compensation offer little understanding about how to maximise compensation during one's management career as it progresses through management levels and across industries.

To provide insights into the experience of women aspiring to the CEO position, particularly regarding qualifications and compensation expectations.

The ExecuComp database of executives at 1,500 large US corporations from 1992 to 2004 was used to identify women CEOs and to examine gender differences in compensation of executives over that period. Additional information about the backgrounds of female CEOs was collected from company press releases and regulatory filings.

Women are not as highly compensated as men before becoming CEO but the few who reach the CEO position receive similar compensation as men. While women CEOs are younger on average than men, they have impressive work experience and education.

The study covers relatively large US companies that are publicly traded; thus, smaller firms and privately‐held firms are not included.

Impressive work experience, usually from within the company, and a strong education seem to be associated with promotion to the CEO position. Female executives should be more aware of the existence of gender differences in compensation at positions other than the CEO.

Much is written about the gender‐based duality of the leadership career and the overall gender gap in compensation. This study adds an in‐depth analysis of compensation at the top of the executive ladder to better understand who makes it to the top and whether they are equitably rewarded.

This paper aims to test the extent to which downward bias due to a floating-point exception in probability of informed trading (PIN) estimates obtained using the Easley, Hvidkjaer and O’Hara (EHO; 2002) method is remedied using the Yan and Zhang (YZ; 2012) method. The paper also aims to test the sample-size sensitivity of EHO PIN and identify PIN determinants for acquirers and targets in the biotech sector.

EHO and YZ PIN performances are compared for US biotech acquirers and targets around their mergers and acquisition (M&A) announcements. The sampling method of Kryzanowski and Lazrak (2007) is used to assess sample-size sensitivity of announcement window EHO PIN estimates. Cross-sectional regressions are estimated to identify PIN determinants.

EHO and YZ PIN are not significantly different. EHO PIN exhibits significant sample-size sensitivity. Information leakage prior to M&A announcements is strongly affected by some firm characteristics. Significant determinants of PIN behavior around M&A announcements include insider and institutional holdings and research and development (R&D) expense.

Findings imply that PIN partially reflects the activities of insiders and other informed investors about takeover intentions. Subsequent research can examine PIN behavior around pre-announcement rumors for M&As in the same or other industries and for potential targets that are peers of the M&A targets.

This paper contributes to the ongoing debate in the empirical finance literature on whether PIN measures informed trading by examining its behavior and the importance of some methodological issues associated with its use in examining market behavior around M&A announcements.

Government agencies have endeavored, with limited success, to improve the methodological consistency of regulatory benefit–cost analysis (BCA). This paper recommends that an independent cohort of economists, policy analysts and legal scholars take on that task. Independently established “best practices” would have four positive effects: (1) they would render BCAs more regular in form and format and, thus, more readily assessable and replicable by social scientists; (2) improved consistency might marginally reduce political opposition to BCA as a policy tool; (3) politically-motivated, inter-agency methodological disputes might be avoided; and (4) an independent set of “best practices” would provide a sound, independent basis for judicial review of agency BCAs.

The purpose of this paper is to verify recovery risk management capabilities by lessors. It tests several hypotheses and finds out interesting specific results for lessors.

The approach is empirical: two different database of leasing contracts are analysed with econometric methodologies.

There is clear evidence that: lessors are ex ante able to balance the probability of default and the loss given default case by case, using proper contract structures; and they carefully manage recovery procedures and strategies according to operations' characteristics.

The data used are large enough, but come from institutions concentrated in Italy. Future research could be extended to other relevant countries.

Results presented are verified in leasing companies which made a limited use of rating systems and credit risk model: they have been achieved by the continuous improvements of traditional lending practices. The development of modern reliable systems can enhance risk management capabilities; our findings can help building more structured and advanced credit risk management tools.

The paper adds to the literature in the sense that gives clear evidence of a neglected but important fact of real world credit markets: financial intermediaries have the capability of properly assessing risk components and manage loss given default (LGD) in order to control overall credit risk.

Financing is cited as the major obstacle for entrepreneurs. However, data limitations have prevented study of entrepreneurs’ own impact on their financing relationships. Gender-based studies have concerned lender constraints and discriminatory outcomes. Others which are generally examined are borrowers’ fear of denial and non-pursuit of credit. To more fully explain the financing obstacle, the purpose of this study is to uniquely examine entrepreneurial borrowers’ evaluation of and actions in their existing financing relationship. This study also captures those businesses with equal ownership gender concentration, to contribute to a deeper understanding of gender impact.

This study uses a cross-sectional sample of several thousand US small enterprises from the NFIB’s proprietary credit survey. The data set offers links between owners’ perceptions and financing behavior. Robust univariate analysis examines differences across gender ownership groups. Multivariate regression analyzes how gender, business environment and other factors determine the entrepreneurs’ financing relationships.

This study highlights how entrepreneurs affect their own financing outcomes. Findings suggest that switching lenders, seeking multiple relationships and other actions determine financing satisfaction. Growth intent, business performance and characteristics of the entrepreneur are among significant posited factors influencing perception and behavior of entrepreneurs in their financing relationships that drive business performance. Furthermore, equal ownership concentration firms appear to be similar to those primarily owned by men. This study indicates that researchers need to further delineate among entrepreneurs. The results of this study also have implications for policy-makers in their assessment of gender discrimination and government entrepreneurial financing initiatives.

Financing is cited as the major obstacle for entrepreneurs. However, data limitations have prevented study of entrepreneurs’ own impact on their financing relationships. Gender-based studies have concerned lender constraints and discriminatory outcomes. Others which are generally examined are borrowers’ fear of denial and non-pursuit of credit. To more fully explain the financing obstacle, this study uniquely examines entrepreneurial borrowers’ evaluation of and actions in their existing financing relationship. This study also captures those businesses with equal ownership gender concentration, to contribute to a deeper understanding of gender impact.

The purpose of this paper is to investigate the effects of corporate dispersion on tax avoidance from geographical and institutional dispersion perspectives by using evidence from China.

Using a panel data of Chinese listed firms during 2003-2015, this paper estimates with correlation analysis and multiple regression analysis.

Both geographical and institutional dispersion are negatively associated with the degree of corporate tax avoidance. Furthermore, corporate governance mechanisms and female chief executive officers can mitigate the negative relation between corporate dispersion and tax avoidance. The results also indicate that ineffective internal control is one of the channels through which corporate dispersion reduces tax avoidance.

This is the first paper about the impact of firm dispersion on the degree of tax avoidance, complementing the research content of diversification and corporate decision-making.

The main purpose of this study is to examine the relationship between credit risk and financial performance in non-financial firms.

In order to test the relationship between Altman Z-score model as a credit risk proxy and the Return on Asset and Equity as indicator for financial performance with control variables leverage, liquidity and firm size. Least Square Dummy Variable regression analysis is opted. This research's sample included 69 non-financial companies from the Pakistan Stock Exchange KSE-100 Index between 2012 and 2017.

This study establishes the findings that Altman Z-score, leverage and firm size significantly impact the financial performance of the KSE-100 non-financial firms. However, liquidity is found to be insignificant in this study. Altman Z-score and firm size have shown a positive relationship to the financial performance, whereas leverage is inversely related.

This study brings in a new and useful insight into the literature on the relationship between credit risk and financial performance. The results of this study provide investors, businesses and managers related to non-financial firms in the KSE-100 index with significant insight about credit risk's impact on performance.

The evidence of the credit risk and financial performance on samples of non-financial firms has not been studied; mainly it has been limited to the banking sector. This study helps in the evaluation of Altman Z-score's performance in the non-financial firms in KSE-100 index as well.

This paper aims to review the relevant literature on mergers and acquisitions in an attempt to provide a comprehensive account of what we know about mergers and which parts of the puzzle are still incomplete.

This literature review consists of three key sections. The first part of this paper summarises the literature on the cyclical nature of mergers referred to in the literature as merger waves. The second section reviews the causes and consequences of takeovers; it first reviews the causes, or drivers, of acquisitions, while focusing on the fact that acquisitions happen in waves and then reviews the consequences of takeovers, with a predominant focus on the impacts of mergers on the economic performance of acquirers. The third part of the review summarises the theories, as well as previous empirical studies, on determinants of announcement returns and post-acquisition performance of combined firms.

Merger activity demonstrates a wavy pattern, i.e. mergers are clustered in industries through time. The causes suggested for this fluctuating pattern include industry- and economy-level shocks, mis-valuation and managerial herding. Market reaction to announcement of acquisitions is, on average, slightly negative for acquirer stocks and significantly positive for target stocks. The combined abnormal return is positive. These findings have been consistent over several decades of investigation. Prior research also identifies a number of factors that are related to performance of acquisitions. These factors are categorised and reviewed in five different groups: acquirer characteristics, target characteristics, bid characteristics, industry characteristics and macro-environment characteristics.

This review illustrates a number of issues. Prior research is heavily biased towards gains to acquirers and factors that affect these gains. It is also biased towards finding sources of value creation through mergers despite the fact that several theories suggest that mergers can be value-destroying. In fact, value destruction is often attributed to managers’ self-interest (agency problem) and mistakes (hubris). However, the mechanisms through which mergers destroy value are rarely addressed. Aside from that, the possibility of simultaneous creation and destruction of value in acquisitions is not often considered. Finally, after several decades of investigation, a key question is not completely answered yet: “What are the sources of value in mergers and acquisitions?”

The purpose of this paper is to examine, within a succession framework, the impact of the gender composition of boards of directors on the gender of the CEOs they appoint, and to assess the impact of newly appointed CEOs' gender on risk taking by the firm.

The authors estimate a two‐stage least squares regression using data on 679 CEO successions in North American firms.

The results show that successor CEOs are more likely to be female the greater the percentage of females on the board, regardless of other succession characteristics such as whether the new CEO is from inside or outside the firm. Furthermore, a change in CEO from male to female is associated with a decrease in several measures of firm risk taking.

The sample is restricted to relatively large, exchange‐traded North American firms and may not generalize to other groups.

The findings suggest that women aspiring to CEO positions and firms wishing to promote women should monitor board composition to ensure female representation. Other steps that the firm may take to promote women to this position (such as looking outside the firm) have an insignificant impact when board composition is taken into account.

The findings are novel and inform CEO succession research by demonstrating which succession process characteristics work to increase females' chances and which have no effect. Female CEOs are likely to provide leadership that reduces the risk profile of the firm.