To be able to understand future firm performance it is important to recognize and correctly evaluate what constitutes a signal. This study investigates if provisions contain signalling value regarding future firm performance. The study is conducted on firms listed on the Nasdaq OMX Stockholm from 2001 to 2010, constituting a sample of 2173 firm years. All the provision data has been manually collected from each of the firm’s annual reports. By using both univariate and multivariate analyses, the study provides new evidence regarding the association between provisions and firm performance. The findings indicate that firms who recognise restructuring provisions experience a performance improvement. The performance improvement is tied to the size of the restructuring provision i.e. the signal. Warranty and litigation provisions show no indications of having any relation to future firm performance. Thus, large restructuring provisions contain a signal of performance improvement, whereas warranty and litigation provisions do not. The thesis contributes to existing literature by providing new insight of how provisions functions as signals of firm performance

Empirical research findings on the consequences of post-M&A performance have generated several result, although most of which are inconsistent. The relation of such post-M&A performances to non-listed and listed companies can be relative especially when considering the companies economic and financial structure and other prevailing factors associated to the host country. However, most of these have been attributed to the choice of performance measurement indicators. This paper analyses and evaluates existing performance indicators that have been employed in the literature. It is argued that to overcome the limitations found in financial indicators of performance, a need to pursue multiple measures of performance in post-M&A research is needed. It also argues that the motives for the transaction should also be included as performance indicators. This hybrid approach will allow researchers and practitioners to measure the overall success of merger and acquisitions.

Thesis (MComm)--Stellenbosch University, 2012. / ENGLISH ABSTRACT: Do firms that have low dependence on physical assets as well as high profitability outperform companies with the opposite characteristics in the market? Despite the lack of empirical research, conventional wisdom would suggest that they should. Conceptually, investors should prefer profitable companies to less profitable companies, and lower capital-intensive to high capital-intensity firms. Using a large sample of global stocks over the period from 1988 to 2010, the effect of using capital intensity and return on capital employed (ROCE) as filters for portfolio inclusion was investigated. A quantitative research approach was followed in this study. This involved dividing the sample into five subsets, or quintiles, according to the specific metric (for example capital intensity). The total return of an equally weighted portfolio was then measured for each quintile for the subsequent 12 months. The portfolio was rebalanced annually and the subsequent 12-month return recorded. Because enhanced performance on new capital investments may take longer than 12 months to be reflected in share prices, quintile performance was also measured over five-year holding periods. The empirical findings of this study reveal that there was no discernible pattern of outperformance by low capital-intensive quintiles using annual rebalancing. However, the lowest capital-intensive firms had the highest average returns using five-year holding periods. The highest ROCE firms performed best with annual rebalancing and with five-year holding periods. Combining both capital intensity and ROCE, a portfolio focused on low capital intensity and high profitability produced a compound annual growth rate that is 9.18 percentage points higher than a portfolio focused on the highest capital intensity and the lowest ROCE. Over five-year holding periods there is a distinct outperformance by low capital-intensive firms with high operational profitability. These results indicate that allocation of investment capital to capital-intensive companies with low operational profitability seems likely to impair long-term returns, and there may be value in a focus on low capital-intensity firms that are able to generate high returns on capital employed. / AFRIKAANSE OPSOMMING: Sal maatskappye met lae afhanklikheid van fisiese bates, asook hoë winsgewendheid, maatskappye met die teenoorgestelde eienskappe uitpresteer in die mark? Ten spyte van ‘n gebrek aan empiriese navorsing, sal konvensionele wysheid voorstel dat dit so moet wees. Beleggers behoort winsgewende maatskappye bo minder winsgewende maatskappye te verkies, en laer kapitaalintensiewe bo hoë kapitaalintensiewe maatskappye. Die gebruik van kapitaalintensiteit en opbrengs op kapitaal aangewend (OOKA) in die beleggingsbesluit word ondersoek deur gebruik te maak van ‘n groot steekproef globale aandele oor die tydperk 1988 tot 2010. 'n Kwantitatiewe navorsingsbenadering was gevolg in die studie. Dit het die verdeling van die steekproef in vyf onderafdelings, of kwintiele, volgens die spesifieke maatstawwe (byvoorbeeld kapitaal-intensiteit) behels. Die totale opbrengs van 'n gelyk-geweegde portefeulje is vervolgens gemeet vir elke kwintiel vir die daaropvolgende 12 maande. Die portefeulje is jaarliks herbalanseer en die daaropvolgende 12 maande se opbrengs is aangeteken. Omdat verbeterde prestasie op nuwe kapitaalbeleggings langer kan neem as 12 maande om in aandeelpryse weerspieël te word, is kwintiel prestasie ook oor vyf jaar hou periodes gemeet. Die bevindinge van hierdie studie dui daarop dat daar geen beduidende verbetering in prestasie onder laer kapitaalitensiewe kwintiele oor een jaar houperiodes was nie. Die laagste kapitaalintensiewe maatskappye het egter oor ‘n hou periode van vyf jaar die hoogste gemiddelde opbrengs gelewer. Die hoogste OOKA maatskappye het die beste gevaar met jaarlikse herbalansering en met 'n houperiode van vyf jaar. 'n Portefeulje gefokus op lae kapitaalintensiteit en hoë winsgewendheid het 'n saamgestelde jaarlikse groeikoers gelewer wat 9,18 persentasiepunte hoër was as 'n portefeulje gefokus op die hoogste kapitaalintensiteit en die laagste OOKA. Oor houperiodes van vyf jaar was daar duidelike uitprestering deur lae kapitaalintensiewe ondernemings met hoë operasionele winsgewendheid. Hierdie resultate dui daarop dat die toekenning van beleggingskapitaal aan kapitaalintensiewe maatskappye met lae operasionele winsgewendheid waarskynlik langtermynopbrengste benadeel en dat 'n fokus op lae kapitaalintensiteit maatskappye, wat in staat is om 'n hoë opbrengs op kapitaal te genereer, moontlik meer lonend kan wees.

Syfte: Syftet med studien är att undersöka om det finns något sammanband mellan hållbarhetsarbete och lönsamheten hos de företag som är noterade på Nasdaq OMX Stockholm.    Metod: För att uppnå syftet med studien har en kvantitativ metod använts. En tvärsnittsdesign har varit grunden för de statistiska undersökningarna. Den empiriska data som har samlats in är av sekundär art där hållbarhetsarbetet har operationaliserats med hjälp av Folksam index för året 2013. Måtten på företagens lönsamhet består av nyckeltalen avkastning på eget kapital, avkastning på sysselsatt kapital och vinstmarginal. Dessa mått är inhämtade från företagens årsredovisningar från räkenskapsåret 2015. Vidare har den insamlade data analyserats med hjälp av deskriptiv statistik, Pearsons korrelationstest och linjära regressioner. Resultat & slutsats: Studiens resultat visar hur ett positivt samband finns mellan samtliga nyckeltal som berör den finansiella lönsamheten i företagen och dess redovisade hållbarhetsdata. Avkastningen på eget kapital har ett svagt positivt samband med en signifikansnivå på 0,05. Avkastning på sysselsatt kapital har ett svagt positivt samband där signifikansnivån 0,1 analyserades. Vinstmarginalen har det starkaste sambandet med en förklaringsgrad på 52,1 procent och en signifikansnivå på 0,01. Förslag till fortsatt forskning: Ett förslag till vidare forskning är att göra en studie under en längre period, men även att jämföra hållbarhetsarbete inom Europa. Den nya lagen som träder i kraft under 2017 är även en intressant ståndpunkt. Detta för att se hur det kan påverka sambandet mellan hållbarhetsarbete och lönsamhet.   Uppsatsens bidrag: Denna studies praktiska bidrag visar hur sambandet mellan noterade företag hållbarhetsarbete och lönsamhet ser ut. År 2013 var de ungefär 226 företag som redovisade sitt hållbarhetsarbete vilket även utformar studiens population. Det teoretiska bidraget i denna studie är att se vilket samband hållbarhetsarbete och lönsamhet verkligen har och studien berör tre olika mått på företagens finansiella prestation. Samt om det förekom ett positivt, negativt eller neutralt samband mellan den beroende och oberoende variabeln. / Aim: The aim of this study is to investigate whether there is a relationship between sustainability performance and profitability of the companies listed on Nasdaq OMX Stockholm. Method: In order to achieve the aim of the study a quantitative method used. A cross-sectional design has been the basis of the analyses. The empirical data that have been collected from the secondary nature in which sustainability work has been operationalized with the help of Folksam Index for the year 2013. The dimensions of financial performance consist the keywords, return on equity, return on capital employed and profit margin. These measurements are obtained from annual reports from the year of 2015. Furthermore, the collected data were analyzed using descriptive statistics, Pearson correlation test and linear regressions. Results & Conclusions: Our results demonstrate how a positive correlation exists between all the key figures relating to the financial profitability of businesses and its reported sustainability data. Return on equity has a weak positive correlation with a significance level of 0.05. After the analyze return on capital employed has a weak positive correlation with significance level of 0.1. The profit margin has the strongest relationship with an explanation rate of 52.1 percent and a significant correlation at a significance level of 0.01. Suggestions for future research: A proposal for further research is to make a study for a longer period, but also to compare the different European countries CSR. The new law that takes effect in 2017 is also an interesting position to see how it affects the relationship between CSR and corporate profitability during a specific timeline. Contribution of the thesis: This study practical contribution shows how the relationship between listed companies' sustainability performance and profitability looks. In 2013 it was approximately 226 companies that reported its sustainability work and these companies are the population in this study. The theoretical contribution of this study was to see what connection work on sustainability and profitability, indeed, and the study involves three different measures of corporate financial performances. If there was a positive, negative or neutral relationship between the dependent and independent variable.

The purpose of the study is to examine if the gender composition of a board has an effect on a company’s financial performance by analyzing their operating margin and return on capital employed (ROCE). The study is based on a quantitative method, studying companies listed on the Stockholm Stock Exchange. Previous research has not been studying the gender composition of boards of Swedish companies and its effect on the company's financial performance in regard to their operating margin and return on capital employed. Therefore, this study has examined that in order to draw a conclusion regarding its possible effects. The data that is collected will be used as support in the analysis in order to understand how the current composition and effects are connected. This study will contribute with knowledge for companies in Sweden regarding gender composition of boards and the possible effects on their financial performance. But also, as support for the ongoing discussion regarding board composition and the current inequality in gender representation. In conclusion the study shows that return on capital employed and the proportion of women in the board has a positive relationship. Meaning that the bigger proportion of women in a board, the better return on capital employed the company has. However, for operating margin there was not a significant relationship and therefore a conclusion regarding that cannot be made.

The growing lack of confidence in public companies arises from the recent accounting scandals and corporate collapses, which have been attributed to the consequences of separation of ownership and control in modern firms. Agency theory predicts a conflict of interest between managers and shareholders that leads to agency costs and weak performance. This study used agency, stakeholders', and stewardship theories as the theoretical framework and multiple regression analysis to examine the relationship between corporate governance mechanisms and organizational performance in nonfinancial firms listed on the Nigerian Stock Exchange. The results of the study could help clarify understanding of corporate governance to managers, investors, and regulators who seek to understand how corporate governance impact firms' performance. In this study, corporate governance mechanisms included board independence, audit committee independence, board size, number of board meetings, and executive compensation. The data were collected from the firms' published accounts on their websites and on the archives of the Nigerian Stock Exchange for a period starting from January 1, 2011 to December 31, 2015. The measures of financial performance in the study were return on assets, return on capital employed, and Tobin's Q. The study found a positive but not statistically significant relationship between corporate governance mechanisms and financial performance. This study has implications for positive social change by showing managers and other stakeholders of firms how a good corporate governance system assures investor confidence, employee loyalty and commitment, the reduction in conflict of interest and agency costs, and a strong financial performance.

Return on Capital Employed (ROCE) is a popular financial instrument and communication tool for the appraisal of companies. Often, companies management and other practitioners use untested rules and behavioural approach when investigating the key determinants of ROCE, instead of the scientific statistical paradigm. The aim of this dissertation was to identify and quantify key determinants of ROCE of individual companies listed on the Johannesburg Stock Exchange (JSE), by comparing classical multiple linear regression, principal components regression, generalized least squares regression, and robust maximum likelihood regression approaches in order to improve companies decision making. Performance indicators used to arrive at the best approach were coefficient of determination ( ), adjusted ( , and Mean Square Residual (MSE). Since the ROCE variable had positive and negative values two separate analyses were done. The classical multiple linear regression models were constructed using stepwise directed search for dependent variable log ROCE for the two data sets. Assumptions were satisfied and problem of multicollinearity was addressed. For the positive ROCE data set, the classical multiple linear regression model had a of 0.928, an of 0.927, a MSE of 0.013, and the lead key determinant was Return on Equity (ROE),with positive elasticity, followed by Debt to Equity (D/E) and Capital Employed (CE), both with negative elasticities. The model showed good validation performance. For the negative ROCE data set, the classical multiple linear regression model had a of 0.666, an of 0.652, a MSE of 0.149, and the lead key determinant was Assets per Capital Employed (APCE) with positive effect, followed by Return on Assets (ROA) and Market Capitalization (MC), both with negative effects. The model showed poor validation performance. The results indicated more and less precision than those found by previous studies. This suggested that the key determinants are also important sources of variability in ROCE of individual companies that management need to work with. To handle the problem of multicollinearity in the data, principal components were selected using Kaiser-Guttman criterion. The principal components regression model was constructed using dependent variable log ROCE for the two data sets. Assumptions were satisfied. For the positive ROCE data set, the principal components regression model had a of 0.929, an of 0.929, a MSE of 0.069, and the lead key determinant was PC4 (log ROA, log ROE, log Operating Profit Margin (OPM)) and followed by PC2 (log Earnings Yield (EY), log Price to Earnings (P/E)), both with positive effects. The model resulted in a satisfactory validation performance. For the negative ROCE data set, the principal components regression model had a of 0.544, an of 0.532, a MSE of 0.167, and the lead key determinant was PC3 (ROA, EY, APCE) and followed by PC1 (MC, CE), both with negative effects. The model indicated an accurate validation performance. The results showed that the use of principal components as independent variables did not improve classical multiple linear regression model prediction in our data. This implied that the key determinants are less important sources of variability in ROCE of individual companies that management need to work with. Generalized least square regression was used to assess heteroscedasticity and dependences in the data. It was constructed using stepwise directed search for dependent variable ROCE for the two data sets. For the positive ROCE data set, the weighted generalized least squares regression model had a of 0.920, an of 0.919, a MSE of 0.044, and the lead key determinant was ROE with positive effect, followed by D/E with negative effect, Dividend Yield (DY) with positive effect and lastly CE with negative effect. The model indicated an accurate validation performance. For the negative ROCE data set, the weighted generalized least squares regression model had a of 0.559, an of 0.548, a MSE of 57.125, and the lead key determinant was APCE and followed by ROA, both with positive effects.The model showed a weak validation performance. The results suggested that the key determinants are less important sources of variability in ROCE of individual companies that management need to work with. Robust maximum likelihood regression was employed to handle the problem of contamination in the data. It was constructed using stepwise directed search for dependent variable ROCE for the two data sets. For the positive ROCE data set, the robust maximum likelihood regression model had a of 0.998, an of 0.997, a MSE of 6.739, and the lead key determinant was ROE with positive effect, followed by DY and lastly D/E, both with negative effects. The model showed a strong validation performance. For the negative ROCE data set, the robust maximum likelihood regression model had a of 0.990, an of 0.984, a MSE of 98.883, and the lead key determinant was APCE with positive effect and followed by ROA with negative effect. The model also showed a strong validation performance. The results reflected that the key determinants are major sources of variability in ROCE of individual companies that management need to work with. Overall, the findings showed that the use of robust maximum likelihood regression provided more precise results compared to those obtained using the three competing approaches, because it is more consistent, sufficient and efficient; has a higher breakdown point and no conditions. Companies management can establish and control proper marketing strategies using the key determinants, and results of these strategies can see an improvement in ROCE. / Mathematical Sciences / M. Sc. (Statistics)

Return on Capital Employed (ROCE) is a popular financial instrument and communication tool for the appraisal of companies. Often, companies management and other practitioners use untested rules and behavioural approach when investigating the key determinants of ROCE, instead of the scientific statistical paradigm. The aim of this dissertation was to identify and quantify key determinants of ROCE of individual companies listed on the Johannesburg Stock Exchange (JSE), by comparing classical multiple linear regression, principal components regression, generalized least squares regression, and robust maximum likelihood regression approaches in order to improve companies decision making. Performance indicators used to arrive at the best approach were coefficient of determination ( ), adjusted ( , and Mean Square Residual (MSE). Since the ROCE variable had positive and negative values two separate analyses were done. The classical multiple linear regression models were constructed using stepwise directed search for dependent variable log ROCE for the two data sets. Assumptions were satisfied and problem of multicollinearity was addressed. For the positive ROCE data set, the classical multiple linear regression model had a of 0.928, an of 0.927, a MSE of 0.013, and the lead key determinant was Return on Equity (ROE),with positive elasticity, followed by Debt to Equity (D/E) and Capital Employed (CE), both with negative elasticities. The model showed good validation performance. For the negative ROCE data set, the classical multiple linear regression model had a of 0.666, an of 0.652, a MSE of 0.149, and the lead key determinant was Assets per Capital Employed (APCE) with positive effect, followed by Return on Assets (ROA) and Market Capitalization (MC), both with negative effects. The model showed poor validation performance. The results indicated more and less precision than those found by previous studies. This suggested that the key determinants are also important sources of variability in ROCE of individual companies that management need to work with. To handle the problem of multicollinearity in the data, principal components were selected using Kaiser-Guttman criterion. The principal components regression model was constructed using dependent variable log ROCE for the two data sets. Assumptions were satisfied. For the positive ROCE data set, the principal components regression model had a of 0.929, an of 0.929, a MSE of 0.069, and the lead key determinant was PC4 (log ROA, log ROE, log Operating Profit Margin (OPM)) and followed by PC2 (log Earnings Yield (EY), log Price to Earnings (P/E)), both with positive effects. The model resulted in a satisfactory validation performance. For the negative ROCE data set, the principal components regression model had a of 0.544, an of 0.532, a MSE of 0.167, and the lead key determinant was PC3 (ROA, EY, APCE) and followed by PC1 (MC, CE), both with negative effects. The model indicated an accurate validation performance. The results showed that the use of principal components as independent variables did not improve classical multiple linear regression model prediction in our data. This implied that the key determinants are less important sources of variability in ROCE of individual companies that management need to work with. Generalized least square regression was used to assess heteroscedasticity and dependences in the data. It was constructed using stepwise directed search for dependent variable ROCE for the two data sets. For the positive ROCE data set, the weighted generalized least squares regression model had a of 0.920, an of 0.919, a MSE of 0.044, and the lead key determinant was ROE with positive effect, followed by D/E with negative effect, Dividend Yield (DY) with positive effect and lastly CE with negative effect. The model indicated an accurate validation performance. For the negative ROCE data set, the weighted generalized least squares regression model had a of 0.559, an of 0.548, a MSE of 57.125, and the lead key determinant was APCE and followed by ROA, both with positive effects.The model showed a weak validation performance. The results suggested that the key determinants are less important sources of variability in ROCE of individual companies that management need to work with. Robust maximum likelihood regression was employed to handle the problem of contamination in the data. It was constructed using stepwise directed search for dependent variable ROCE for the two data sets. For the positive ROCE data set, the robust maximum likelihood regression model had a of 0.998, an of 0.997, a MSE of 6.739, and the lead key determinant was ROE with positive effect, followed by DY and lastly D/E, both with negative effects. The model showed a strong validation performance. For the negative ROCE data set, the robust maximum likelihood regression model had a of 0.990, an of 0.984, a MSE of 98.883, and the lead key determinant was APCE with positive effect and followed by ROA with negative effect. The model also showed a strong validation performance. The results reflected that the key determinants are major sources of variability in ROCE of individual companies that management need to work with. Overall, the findings showed that the use of robust maximum likelihood regression provided more precise results compared to those obtained using the three competing approaches, because it is more consistent, sufficient and efficient; has a higher breakdown point and no conditions. Companies management can establish and control proper marketing strategies using the key determinants, and results of these strategies can see an improvement in ROCE. / Mathematical Sciences / M. Sc. (Statistics)

Emerging markets such as India have witnessed waves of domestic and cross-border mergers and acquisitions. This historical analysis, which consists of two parts, tests central tenets of resource dependence theory. The first part entails an analysis of the transition in public policy governing corporations between 1991 and 2005. The second part tests hypotheses derived from resource dependence theory relating to a firm’s decision to acquire. The analysis explores the factors that explain why firms engage in mergers and acquisitions by examining three specific policy periods (i.e., 1991-1996, 1997-2001 and 2002-2005). The findings from the historical analysis suggest that firms did not merely react to the conditions (i.e., constraints on capital) in their environment by undertaking merger and acquisition activity, but attempted to alter them as resource dependence theory suggests. Findings from the event history logit model also support resource dependence theory. Overall, the study shows that merger and acquisition activity increased during a period of intense deregulation (i.e., 1991-2005) brought about by the adoption of neo-liberal reforms, change to the multilayer subsidiary form, deregulation of the banking and financial sectors’ and reforms in foreign direct investment and equity markets. During this period of uncertainty, firms controlling more resources in terms of earnings, efficiency and number of subsidiaries were more likely to undertake acquisition activity as they have leverage in organization-environment relationships. The effect of number of subsidiaries on acquisition activity was the most consistent across policy periods’. This dissertation is organized in the following manner: Following the introductory chapter, Chapter II is a historical examination of the three policy periods and includes an analysis of the effect of the political-legal environment on mergers and acquisitions between 1991 and 2005. Chapter III reviews the propositions of resource dependence theory that pertain to organizational change and presents research hypotheses related to mergers and acquisitions. Chapter IV describes the data, measurement and methodology employed in the quantitative analysis. Chapter V presents the findings from the quantitative analysis and discusses the results. The concluding chapter (Chapter VI) includes a presentation of the theoretical findings and discussion of the limitations and scope of the study.

This diploma work assess the financial health of the company in the years 2002–2006 on the basis of selected methods of the financial analysis. It includes proposals of possible solutions of identified problems which should result in the improvement of financial situation of the firm in the following years.