scholarly journals Benchmarking Of Johannesburg Stock Exchange CEO Compensation

2012 ◽  
Vol 11 (9) ◽  
pp. 1061 ◽  
Author(s):  
Merwe Oberholzer ◽  
Marli Theunissen

The purpose of the study is to empirically compare CEO compensation benchmarks set by the frequently used Linear Regression Analysis (LRA), which is based on averages and Data Envelopment Analysis (DEA), which is based on best practices. To fulfill this purpose, an empirical investigation on South African listed companies was executed using a sample of 187 Johannesburg Stock Exchange (JSE) companies, grouped into three categories according to their sizes by using total assets, i.e. large, medium and small companies. For the LRA model, total CEO compensation is the dependent variable (y) with return on equity (as a measurement of performance) and total assets (as measurement of company size) as the independent variables (x). In the LRA model, the expected CEO compensation was calculated as a benchmark for each company and then compared to the actual value of the CEO compensation. In the DEA model, total CEO compensation is the input variable and return on equity and total assets the two output variables. The input-orientated technical efficiency estimate was calculated and the input targets (benchmarks for CEO compensation) set by the DEA model were compared to the actual CEO compensation. The study found that, using the LRA model, CEOs are on average actually underpaid in monetary terms by 36.8%, 33.2% and 17.8% for the large, medium and small companies, respectively. In contrast, the results for these three groups using DEA have shown that CEOs are on average actually overpaid in monetary terms by 47.6% 55.3% and 49.9%. This implies that LRA favors CEOs in comparison with the DEA model. Therefore, the study concludes that the frequently used LRA model is probably a reason that contributes to excessive CEO compensation.

2013 ◽  
Vol 29 (5) ◽  
pp. 1509 ◽  
Author(s):  
Marli Theunissen ◽  
Merwe Oberholzer

<p>The purpose of the study is twofold; firstly, to use data envelopment analysis (DEA) to estimate the technical efficiencies of Johannesburg Stock Exchange (JSE)-listed companies (per industry) to convert the multiple components of CEO remuneration into multiple company determinants, namely size and performance indicators, and secondly, to develop an efficiency frontier to serve as a benchmark to suggest acceptable CEO remuneration levels. An empirical study was executed on a sample of 221 JSE-listed companies. Cross-sectional data of CEO remuneration and company determinants were obtained from the McGregor BFA database for the 2010 financial year. The study found that CEOs from 80 of the 221 companies included in the sample emerged as the benchmark CEOs and formed the efficiency frontier against which inefficient CEOs were compared. The practical value is that remuneration committees can use this model, which is based on best practices, to simplify the structuring of reasonable CEO remuneration packages.</p>


2014 ◽  
Vol 12 (1) ◽  
pp. 92-104
Author(s):  
Merwe Oberholzer

The originality of the study is that performances of CEOs are estimated by determining how efficiently they convert their own remuneration and other key company input resources into a key performance output. Accounting-based data, with the Du Pont analysis as conceptual framework, were applied as the other company input and output determinants. The main purpose was to determine whether there is a difference in remuneration of CEOs who are efficient and inefficient, as estimated by data envelopment analysis. A sample of 167 Johannesburg Stock Exchange-listed companies, divided into large, medium and small, from the industrial and resource sectors is empirically investigated. According to the Student t test, the study found that there is no statistically significant difference between the remuneration of efficient and inefficient CEOs of large and small companies, but for medium-sized companies, the inefficient CEOs are statistically significantly higher remunerated. A possible reason for this contradiction is, inter alia, that market-based performance determinants were not taken into account, which could lead to a different conclusion. The practical implication is that an accounting-based model is developed for company boards, which should consider using accounting-based data more frequently to benchmark their CEOs’ remuneration, since not only are these data readily available to make comparisons with peers, but it can be influenced more easily by a CEO as in the case of market-based determinants


1988 ◽  
Vol 19 (4) ◽  
pp. 127-132
Author(s):  
J. F. Affleck-Graves ◽  
G. H. Burt ◽  
S. J.M. Cleasby

Existent financial theory is unable to explain whether on aggregate conglomeration is beneficial to either individual shareholders or to the economy. Both advantages and disadvantages can be listed for the conglomeration process and it is thus an empirical question as to whether or not shareholders really benefit from conglomeration. In this paper the long-term profitability of conglomerates is examined in an attempt to determine whether or not such shareholders earn superior returns on aggregate. This is done by contrasting the stock market performance of a sample of South African (S.A.) conglomerates over a six-year period with the performance of the overall market. In addition, their performance is contrasted with that of a random portfolio of non-conglomerate companies. Finally, a pseudo-conglomerate portfolio was constructed for each conglomerate in such a way that each portfolio had the same asset structure as its matched conglomerate. The performance of the conglomerates was then contrasted with that of the pseudo-conglomerate portfolio using market returns, return on assets and return on equity. The results indicate that on aggregate, the conglomerates significantly underperform non-conglomerates. This is consistent with the view that conglomeration is in the interest of management rather than in the interest of the shareholders.


2019 ◽  
Vol 3 (2) ◽  
pp. 26
Author(s):  
Niken Ayu Wulandari ◽  
Tegoeh Hari Abrianto ◽  
Edi Santoso

This research to analyze and evaluate intellectual capital on financial performance obtained by return on equity, asset turnover and growth in revenue. The population in this study are consumer goods companies listed on the Stock Exchange in 2015-2017. The research sample was received by 21 companies obtained by using purposive sampling technique. The analytical method used is simple linear regression analysis with the SPSS version 20 application and uses the VAICTM method to measure intellectual capital. The results of this study indicate that intellectual capital has a significant effect on financial performance generated by return on equity, but intellectual capital does not have a significant effect on financial performance required by asset turnover and growth in revenue.


2018 ◽  
Vol 10 (3(J)) ◽  
pp. 160-168
Author(s):  
Misheck Mutize ◽  
Victor Virimai Mugobo

The study explores the relationship between the unemployment rate in the United States and South Africa’s stock prices from the beginning of 2013 to the last day 2017. The objective of this paper is to examine the impact of the US unemployment rate announcement on the South African financial market. Results of Impulse Response analysis show that there is a very minimal impact from the US unemployment announcement to South Africa’s stock prices which disappears within two days of the announcement. In addition, the Johannesburg stock exchange index marginally responds to own shocks, which marginally fades away within two days. These findings imply that the changes in the US employment policies have a direct ripple effect on the South African macroeconomic environment, its investing public sentiments and corporate confidence on the future prospects of businesses.


2018 ◽  
Vol 2 (2) ◽  
pp. 290-303
Author(s):  
Venni Agnatia ◽  
Diah Amalia

The purpose of this research is to analyze the effect of Economic Value Added (EVA) and profitability ratios partially and simultaneously to the coal mining company’s stock price. The profitability ratios used in this research as independent variable are Return on Asset (ROA), Return on Equity (ROE), Return on Investment (ROI) and Net Profit Margin (NPM) although the stock price as the dependent variable. The samples used were 14 companies from 25 coal mining companies listed in Indonesia Stock Exchange during the period 2011-2017 so total data processed is 98 samples. This research used linear regression analysis with Eviews version 9. The result indicated that partially the variable ROA and ROI has significant positive effect on stock price. EVA, ROE and NPM does not affect the stock price. All variables simultaneously affect to the stock price.   Keyword: EVA, ROA, ROE, ROI, NPM, Stock Price


2014 ◽  
Vol 11 (3) ◽  
pp. 83-94
Author(s):  
Busisiwe Carol Ringane ◽  
Patricia Lindelwa Makoni

This paper sought to shed light on dividend policy within the gold mining industry in South Africa. Several cause-and-effect variables of dividend policy are discussed, in order to lay down the theoretical framework for the research. These are size, managerial ownership and foreign ownership. To meet the objectives of the study, data from seven mining companies listed on the Johannesburg Stock Exchange (JSE) was analysed for a 5 year (2008-2012) period. As found in earlier studies, there is a positive correlation (r = 0.59) between the dividend policy and the size of the organisation. This was expected as no cashflow is available for distribution during the early stages of exploration, hence no dividends are paid. As the organisation grows and profit increases, there is free cashflow which can be distributed to shareholders. Managerial ownership negatively correlates with dividend pay-out (r = -0.53). Contrary, a weak correlation was observed between foreign ownership and dividend pay-out.


2017 ◽  
Vol 9 (2) ◽  
pp. 426-435
Author(s):  
Marise Vermeulen

This study investigated the relationship between share returns and nine variables that had been proven to influence returns in previous research, using a multiple regression analysis. These variables are size, leverage, book-to-market ratio, earnings yield, dividend payout, earnings growth, return on equity, earnings per share and asset growth. The impact of some of the variables on share returns proved to be insignificant, and some collinearity was identified between some of the variables. However, three significant variables were identified and the final regression model included the book-to-market ratio, dividend payout and leverage as the explanatory variables.


2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Matabane T. Mohohlo ◽  
Johan H. Hall

The financial leverage-operating leverage trade-off hypothesis states that as financial leverage increases, management of firms will seek to reduce the exposure to operating leverage in an attempt to balance the overall risk profile of a firm. It is the objective of this study to test this hypothesis and ascertain whether operating leverage can indeed be added to the list of factors that determine the capital structure of South African firms. Forty-six firms listed on the Johannesburg Stock Exchange between 1994 and 2015 are analysed and the impact of operating leverage is determined. The results are split into two periods, that is, the period before the global financial crisis (1994–2007) and after the global financial crisis (2008–2015). The impact of operating leverage during these two periods is then compared to determine whether a change in the impact of operating leverage on the capital structure can be observed especially following the crisis. The results show that the conservative nature of South African firms leading up to 2008 persisted even after the global financial crisis. At an industry level, the results reveal that operating leverage does not have a noticeable impact on capital structure with the exception of firms in the industrials sector of the South African economy.


2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ajeng Septianti ◽  
Diah Yudhawati ◽  
Supramono Supramono

The purpose of this research is to analyze the influence of Return On Equity (ROE), Net Profit Margin (NPM) to stock price in 2011-2017. This study uses secondary data, the sample in this study as many as 28 data derived from livestock feed companies listed on the Indonesia Stock Exchange from 2011 to 2017 and include complete financial report data. Sampling technique using purposive sampling technique or sampling based on certain considerations and criteria. The analytical method used is simple linear regression analysis and multiple linear regression analysis with first classical asusmsi test which includes normality test, heteroscedasticity test, autocorrelation test. The results of this study show that partially Return On Equity (ROE) has a positive and insignificant effect on price, Net Profit Margin (NPM) has a positive and insignificant effect on stock prices. Simultaneously Return On Equity (ROE) and Net Profit Margin (NPM) have positive and insignificant effect to stock price at company of basic industry and kumia subs of poultry feed listed on Indonesia Stock Exchange (BEI) year 2011- 2017.


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